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                    <text>ItomDNunber

°1861

Author

Bangert, Joseph V.

Corporate Author

Commonwealth of Massachusetts Agent Orange Progra

RdDOrt/ArtldO TltlO Health Survey of Massachusetts Vietnam Veterans,
Summary

Journal/Book Title
Year

1986

Month/Day

June

Color

0

Number of Images

12

Descrlpton Notes

Wednesday, July 11, 2001

Page 1862 of 1870

�COMMONWEALTH OF MASSACHUSETTS
AGENT ORANGE PROGRAM
Office of the Commissioner of Veteran's Services
100 Cambridge Street
Boston, MA 02202

"Health Survey of Massachusetts Vietnam Veterans"

SUMMARY

June, 1986

�FOREWORD
The Commonwealth of Massachusetts Agent Orange Program, a program of the
Office of the Commissioner of Veterans' Services, was provided funding by the
1983 Massachusetts Legislature for the purpose of conducting, "medical and
scientific testing related to the possible health effects of Agent Orange on
Massachusetts Vietnam Veterans."
In January, 1984, the Agent Orange Program, Office of the Commissioner of
Veterans' Services (OCVS) was implemented to survey programmatic, medical
and scientific options. The Agent Orange Program instituted the Agent Orange
Medical /Scientific Advisory Board to provide technical recommendations, oversight and review of proposals and implemented medical and scientific programs
and studies.
In January, 1985, the Massachusetts Agent Orange Program, in cooperation with
the Massachusetts Department of Public Health published the "Mortality Among
Massachusetts Vietnam Veterans, 1972-1983" written by Michael Kogan, M.A., and
Richard Clapp, M.P.H., as the first step in the Commonwealth's attempt to find
some answers to the complex questions surrounding the issue of Agent Orange.
This mortality study provides a stable foundation for our continued ongoing
efforts to provide scientific, technical, verifiable data regarding the effects
of Agent Orange where none had been previously available.
The Massachusetts Agent Orange Program's "Health Survey of Massachusetts
Vietnam Veterans, 1986" is the second step in our program's continuing
efforts to determine the needs of Massachusetts Vietnam Veterans and their
families. This survey utilized the "American Legion," or "Stellman questionnaire,"
with minor modifications. The survey results, contained within, are the result
of over 2,000 Massachusetts Vietnam Veterans and their families, and dependents
who took the time out to complete a rather detailed and complex form. Only
1,500 of the 2,000 questionnaires were included in the Massachusetts survey
as they were chosen on the completedness of the questionnaire, and those
filled out by Massachusetts veterans who had not been in the Vietnam theatre
were excluded.
The analysis of the data collected by the Massachsuetts Agent Orange Program
was compiled and analyzed by Mr. Frank J. Bove, M.S., an epidemiologist and
PhD candidate with Harvard University School of Public Health. We are indebted
to the hard work of this young scientist.
The Massachusetts Agent Orange Program also acknowledges the leadership role
of Governor Michael S. Dukakis of Massachusetts as well as that of Commissioner
of Veterans' Services, John Halachis in their ongoing committment to this
program and its importance for the more than 50,000 Massachusetts Vietnam
Veterans. We also acknowledge the General Court of the Commonwealth of
Massachusetts, and in particular to Senator Fran Doris, Representative Thomas
Vallely and former Representative Tom Lynch who took the leadership in bringing
the Massachusetts Agent Orange Program into being. We would be remiss if
we did not acknowledge the pioneering role of Mr. Christopher Gregory, the
former Director of the Agent Orange Program in getting the program on line.
We shall continue first and foremost to aggressively and independently survey
and test Massachusetts Vietnam Veterans who bore the brunt of battle and will
never be forgotten.

Jsefob/V. Bangert, Director
Massachusetts Agent Orange Program

r

�SUMMARY

Fifteen hundred Vietnam veterans in Massachusetts completed
health questionnaires in January 1985. The respondents were
those who filed a claim against the $180 million proposed out of
court settlement reached by attorneys' representing the seven
chemical manufacturers of Agent Orange and Vietnam veterans.
Although not a random sample of the more than 50,000 Massachusetts Vietnam veterans, the findings indicate a considerable
amount of illness among the respondents including tumors, neurobehavioral problems, reproductive difficulties and birth defects among their offspring. These findings are consistent with
the observed symptoms and disease found among those exposed to
2,4-D, 2,4,5-T and 2,3,7,8-TCDD (Dioxin) in the workplace or the
environment.

INTRODUCTION

Concern about the long-term effects of exposure to Agent
Orange is widespread among Vietnam veterans in the U.S. and Australia, as well as among the citizens of Vietnam. In southern
Vietnam, recent studies report a variety of persistent clinical
problems including recurring bouts of headaches, depression and
anxiety, asthenia, loss of libido, GI disorders and adverse reproductive outcomes. Studies of workers exposed to dioxin contaminated substances have found elevated rates of lymphomas and
soft tissue sarcomas. Neurologic and liver effects have also
been reported. Table 1 lists the findings of some of these occupational studies. Table 2 lists the findings of a Massachusetts
Departments of Public Health and Veterans Services study of mortality among Vietnam veterans. This study found elevated rates
of soft tissue sarcomas, kidney cancer, motor vehicle accidents
and suicides. Table 3 lists findings from other studies of
Vietnam veterans.
This survey of the health of Massachusetts Vietnam veterans
is part of an on-going research program that was sparked by the
findings of previous studies as well as the concerns raised by
veterans. The results of this survey are consistent with those
in the studies mentioned above.

METHODS AND SUBJECTS

In January, 1985, The Massachusetts Agent Orange Program
instituted a large-scale media campaign to alert Vietnam veterans

�of the court-imposed deadline for filing a claim against the proposed $180 million settlement reached by attorneys for the seven
manufacturers of Agent Orange and Vietnam veterans. About 2,000
veterans filed claims during a two day period at the state's
Office of Veterans Services. The American Legion health questionnaire was distributed to those filing claims. In addition,
some 300 questionnaires were mailed to veterans who phoned the
Agent Orange Program requesting to participate in the health
survey. Approximately 1800 questionnaires were returned to the
Agent Orange Program, fifteen hundred of these were selected
based on the criteria of completedness and actual service in
Vietnam.
Staff of the Agent Orange Program as well as trained volunteers, all of whom were Vietnam veterans, assisted respondents
with any questions or difficulties they encountered with the
questionnaire. Concerning the birth outcome data requested by
the questionnaire, if the veterans were not sure of the information being asked, they were provided with a self-addressed envelope and permitted to take the questionnaire home to consult with
their spouses.
RESULTS

Analysis of the questionnaire data was performed using DBASE
III.
Over a quarter of the respondents stated that they were
diagnosed with tumors (cancerous, benign, fatty or other). Nine
were diagnosed with Hodgkins Disease. Nearly 22% of the respondents indicated that one or more of their children had birth defects. Out of 1907 live births reported in the questionnaires,
462 (24%) had at least one birth defect and 160 had more than one
defect. Thirty-seven spina bifida, other brain or spine defects
were reported. Table 4 presents the data on other congenital
malformations.
Nearly one-third of the respondents indicated a decrease in
libido and 22% reported fertility difficulties (see Table 4).
Nearly two-thirds of the respondents indicated persistent problems with tiredness, over half reported persistent headaches and
difficulties with memory or concentration, and almost half reported nervous disorders (see Table 5).
Seventy-three percent of the respondents answered yes to the
question: "Have you or your family ever noticed a personality
change?". Eighty-two percent of the respondents claimed they regularly had at least one of the following problems: depression,
violent rage, anxiety and irritability. Most had more than one
problem. Two hundred and seventy-five respondents reported suffering from mental Illness or a breakdown. Symptoms of peripheral neuropathy in the lower or upper extremities were reported
in over two-thirds of the veterans. Indications of asthenia were
found in over half of the questionnaires (see Table 5).

�Many respondents reported GI disorders. Over a third stated
they had repeated nausea without flu or other sickness. Over 25%
reported repeated bouts with diarrhea. One-third indicated that
they regularly experienced loss of appetite and 20% reported
weight loss.
CONCLUSION

We reemphasize that the questionnaires were not randomly
distributed and were completed on a volunteer basis by a selfselected group of MA veterans. This means that we cannot base a
valid, scientific study on the information contained in these
questionnaires. However, the questionnaires clearly indicate
considerable disease and suffering among a relatively young group
of people (93% under age 45, 80% under age 40). The symptoms and
disease found are consistent with findings from other studies of
people exposed to dioxin, 2,4-D and 2,4,5-T.

REFERENCES

Ashe WF, Suskind RR (1949,1950)tReports on chloracne cases,
Monsanto Chemical Co., Nitro, W.VA.
Baader EW, Bauer AJ (1951):Industrial intoxication due to pentachlorophenol. Indus Med Surg 20:289-290.
Barr MM (1982) :letter to editor. ANZ J. Psych. 16: 88-89.
»

Barr MM (1983): Apparent progressive axonal dying back neuropathy
in Vietnam veterans. Neuroscience Letters, Abstracts
suppl. ll:s.29.
Dugois P, et.al. (1956): Acne chlorlque au 2,4,5-T. Lyon Med
88:446-447.
Erickson JD, et.al. (1984): Vietnam veterans1 risks for fathering
babies with birth defects. JAMA 252:903-912.
Goldman PJ (1973): Schwetst akute chlorakne, eine massenintoxikation durch 2,3,6,7-TCDD. Der Hautarzt 24:149-152.

�Moses M, et.al. (1984): Health Status of workers with past exposure to 2,3,7,8-TCDD in the manufacture of 2,4,5-T: Comparison of findings with and without chloracne. Am J Ind Med
5:161-182.
Pazderova-Vejlupkov J, et.al (1980): Chronic poisoning by
2,3,7,8-TCDD. Prac Lek 32::204-209. NIH Library Translation.
Pazderova-Vejlupkov J, et.al (1981): The development and prognosis of chronic intoxication by TCDD in men. Arch Env
Health 36:5-11.
Poland AP, et.al. (1971): Health survey of workers in a 2,4-D and
2,4,5-T plant. Arch Env Health 22:316-327.
Stellman S, Stellman J (1980): Health problems among 535 Vietnam
veterans potentially exposed to toxic herbicides. Am J Epi
112:444 (abstract).
Susklnd RR (1953): A clinical and environmental survey, Monsanto
Chemical Co., Nitro, W.VA.. Report of the Kettering Laboratory, July.
Suskind RR (1977): Chloracne and associated health problems in
the manufacture of 2,4,5-T. Report to the NIEHS/IARC Joint
Conference, Lyon, France. January.
Telegina KA, Bikbulatova LJ (1970): Affection of the folllcular
apparatus of the skin in workers employed in the production
of the butyl ester of 2,4,5-T. Vestnik Derm Ven 44:35-39.

�TABLE 1
REPORTED OCCUPATIONAL EXPOSURES TO DIOXIN-CONTAMINATED
SUBSTANCES RESULTING IN HUMAN ILLNESS*

Year,place &amp;
chemical(s)

Type of exposure &amp; number
of cases

Neurological
effects

Other
effects

References

1949 W.VA
TCP, 2,4,5-T

explosion
117
production
111

nervousness,
irritability,
insomnia,
personality
change,depression,
headache,pain
&amp; weakness in
lower extremities, per ipheral
neuropathy

fatigue, [Ashe &amp;
weight
Suskind,
loss,
1949,
weakness, 1950;
decreased Suskind,
libido,im - 1953;
Suskind,
potence
1977] .

1949 Germany
TCP

production,
industrial
lab 17

pain &amp; weakness,paresthesia,polyneuritis in lower
extremities

fatigue,
decreased
libido,
impotence

1952 Germany
TCP

production
31

pain &amp; weakness,paresthesia in lower
extremities,
memory &amp; concentration deficits,sleep
disturbances,
apathy,dulled
emotional response

fatigue,
[Susmyocardial kind,
damage
1977]

1953 Germany
TCP

explosion
55

hearing impairment,
peripheral
neuropathy

fatigue,
[Golddrowsiness, man,
myocardial
1973]
damage

1956 France
TCP

production
17

peripheral
neuropathy

1964 USSR
TCP 2,4,5-T

production
128

headache,memory loss,
sleeplessness

[Baader
&amp; Bauer,
1951]

[Dugois,
et.al.,
1956]
fatigue,
[Telejoint pain gina &amp;
Bikbulatova,
1970]

�TABLE 1 (continued)
Year,place &amp;
chemical(s)

Type of exposure &amp; number
of cases

Neurological
effects

Other
effects References

1965-68
Czechoslovakia
TCP 2,4,5-T

production
80

pain &amp; weakfatigue, [Pazderoness in lower
weight
va-Vejlupkov,
loss
extremities/
somnolence,
et.al.,
1980;
headache, insomnia,peri19811
pheral neuropathy, emotional
&amp; psychiatric
disorders

1969 NJ
TCP 2,4,5-T
2,4-D

production
73

weakness in
lower extremities,hypomania

*adapted from Moses/et.al.,1984

[Poland,
et.al. '
1971]

�TABLE

2

Standardized Proportional Mortality Ratios for Selected Causes of Death for
Vietnam Veterans Compared with Either Non-Vietnam-Veterans or Non-Veteran Males
ICO NO*

CAUSE OF DcATH

OBSERVES
VIETNAM
VETERAN
DEATHS

All Causes

COMPARISON GROUP
NON- VIETNAM
VETERANS
PMR
95% C.I.

NON-VETERAN
MALES
PMR
95% C.I.

840

140-239

All Neoplasms

153-154

Colo-Rectal

162

Lung, Bronchus

171

Connective Tissue

9

880

189

Kidney

9

183 (96,348)

353 (191,651)

139

88 (75,103)

87 (74,102)

28

111 (77,160)

138 (96,199)

•

129

95

(78,115)

112

(94,134)

8

113

(56,228)

85

(42,172)

98 (66,146)

102

(72,145)

25

(513,1510)

473 (262,855)

390-429 'Circulatory System
439-459 (except Cerebrovascular)
430-438 Cerebrovascular
Disease
571
Cirrhosis of the
Liver

29

94 (65,136)

90 (61,132)

•

E800-E999 All external causes

428

108 (98,119)

H3 (103,124)

E810-E825 Motor vehicle accidents

169

110 (95,127)

127 (106,152)

E950-E958 Recorded suicides

102

93 (77,112)

118 (98,143)

799.9,
Estimated suicides*1*
E850-E869,
E950-E958,

163

113 (96,132)

140 (120,163)

31

80 (56,114)

66 (46,94)'

E980-E982

E960-E969 Homicides

International Classification of Diseases, 9th Revision, code number.
**See reference (6) for discussion of this category. Note that there were
13 deaths in the category 799.9.

�TABLE 3
REPORTS ON THE HEALTH STATUS OF VIETNAM VETERANS

Reference

Exposed

Health Effects

Stellman &amp;

Vietnam Veterans
535

congenital malformations,
GI disturbances,pain in
joints,sleep and psychological disturbances

Barr/1982;
1983

Vietnam Veterans
Australia, 120

peripheral neuropathy,
insomnia,depress ion,
Irritability,lassitude,
memory loss,headaches,
attempted suicides

Erickson,
et.al. 1984

Vietnam Veterans
696

congenital malformations:
spina bifida,cleft lip,
impaired hearing,clubfoot

Stellman,
1980

�TABLE 4
CONGENITAL MALFORMATIONS

Total
Number

Birth Defect

Prevalence *

BDMP Incidence
Rate *

Spina Bifida,other
brain or spine defects

37

195

18.4

clubfoot

24

126

24.5

cleft lip/palate

17

89

13.4

missing, deformed or
extra toes/fingers

31

163

Down's Syndrome

11

58

7.9

hip abnormalities

21

111

27.0

heart defect

60

defect of the
digestive system

35

hearing disorders

63

cerebral palsy

27.2**

6

other skeletal defects
Condition requiring
special education or care

46

122

* per 10,000 live births
** polydactyly and syndactyly

OTHER REPRODUCTIVE PROBLEMS
Problem

Number

%

Loss of libido

487

32.4%

Infertility

330

22.0%

Infertility and saw physician

246

16.4%

low birth weight children

162

8.1%

(under 5.5 Ibs.)

�10

TABLE 5
NEUROBEHAVIORAL DYSFUNCTION

Problem

Number

%

persistent tiredness
(saw physician)

957
270

63.7%
18.0%

persistent headaches
(saw physician)

773
338

51.5%
22.5%

nervous disorders
(saw physician)

684
356

45.5%
23.7%

difficulty with memory
or concentration
(saw physician)

786
165

52.3%
11.0%

mental illness or breakdown
(receiving some disability)

275
132

18.3%
8.8%

1233
1015

82.1%
67.6%

321

21.4%

regularly depressed, get into a
violent rage, anxious or irritable
(more than one behavioral problem)
Sensory symptoms of early stage
peripheral neuropathy
asthenia (need hands to rise from
chair, can't climb stairs without
holding onto railing, unable to do
tasks requiring holding arms at
shoulder level, difficulty grasping
tools)

775

51.6%

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                    <text>Item ID Number

01848

Author

Skinner, Katherine M.

Corporate Author

New

England Research Institute, Inc., Watertown, Mass

Report/Article HUB Women's Vietnam Veterans Health Study Protocol
Development, Addendum, Literature Review and
Bibliography, Deliverable A

Journal/Book Title
Year

000

°

Month/Day
Color

n

Number of Images

9

DOSCTlptOn Notes

Contract No. V101 (93)P-1138; Provides a brief review
of occupational exposure of nurses to hexachlorophene.

Wednesday, July 11, 2001

Page 1849 of 1870

�WOMEN'S VIETNAM VETERANS HEALTH STUDY
PROTOCOL DEVELOPMENT

CONTRACT NO. V101(93)P-1138

ADDENDUM
LITERATURE REVIEW AND BIBLIOGRAPHY
DELIVERABLE A

SUBMITTED BY NEW ENGLAND RESEARCH INSTITUTE, INC.

PRINCIPAL INVESTIGATOR
SONJA M. MCKINLAY, Ph.D.

NEW ENGLAND RESEARCH INSTITUTE, INC.
42 Pleasant Street
Watertown, Massachusetts 02172
(617)923-7747

�This addendum provides a brief review of an important
occupational exposure for nurses - hexachlorophene - not
included in the original review. This review should be
included as Sub-section 5.1 A Exposure; Hexachlorophene. in
Section 5. Nursing: Occupational Risks.

Author: Katherine M. Skinner, M.A.

�5.1.A

EXPOSURE; HEXACHLOROPHENE

Fingerhut et al. (1985) in an update of an earlier
article present a status report on the NIOSH Occupational
Dioxin Registry. This report indicates, clearly, that
2,3,7,8-TCDD (abbreviated to TCDD) is a contaminant in the
process of manufacturing hexachlorophene as well as 2,4,5-T.
Figure 1, reproduced from this report, summarizes the
chemical process which produces 2,4,5-T, hexachlorophene and
TCDD as a contaminant.
Hexachlorophene was used for many years as a cleansing
and disinfecting agent, with nurses being a consistently
exposed occupational group. This substance was used
routinely by nurses all through the period of the Vietnam
conflict, until the late 1970's, when it was gradually
withdrawn from use.
Primarily used as a bacteriostatic agent, patients
showered with hexachlorophene (marketed as pHisohex) for
three consecutive days before elective operations. At time
of surgery, the operative site would once again be scrubbed
with pHisohex. All operating room personnel were required
to scrub their fingers, hands and arms (up to the area just
above the elbow) with brushes and pHisohex for fifteen
minutes before participating in any operations. In the
delivery room, the vaginal canal was usually cleansed with
pHisohex before pelvic examinations were performed. Infants
were bathed in pHisohex immediately after birth to remove
meconeum, amniotic fluid and the vernix caseosa covering
them. Hospital personnel were encouraged to wash their hands
before touching another patient to prevent crosscontamination and thereby limit nosocomial infections.
An editorial by Husaey in JAMA (1985), was the first to
warn of adverse effects in the brain of newborns who
developed staphylococcal infections after having been bathed
in hexachlorophene. Bhargava et al (1976) reported that the
effect on the blood coagulation process after dermal
application of hexachlorophene was a reduction in
coagulation time, an increase in the number of platelets and
an enhancement of the ESR (esinophil sedimentation rate).
Steinbeck (1977), who studied the local and systemic
effects of commonly used cutaneous agents on mice and
rabbits, reported that the mice showed no local toxic
changes or tumor formation, and the systemic tumor
incidence, i.e. tumors of the liver, lungs, lymphatic
system, and other organs was similar to that of control
animals. In rabbits, a number of proliferative benign and
malignant ear tumors were observed in the positive controls,
thereby demonstrating the efficacy of this model. Local
toxic changes were seen in the benzalkonium and

Al

�hexachlorophene treated animals, but no skin tumors. Four
animals had uterine tumors. In addition, one lung and one
kidney tumor unrelated to the method of treatment were seen.
An F.D.A. bulletin (1978) warned of drug induced
abnormalities when hexachlorophene was used during
pregnancy.
A study by Siddicui et al. (1978) reports that an
emulsion containing 0.25% hexachlorophene, 9.5% turpinal,
1.5% oil of turpentine, 13% ethanol, 6% castor oil
distillate and 6% sodium salt, when given orally or
instilled into conjunctival sacs of albino mice, produced
lethal and insignificant toxic manifestations respectively,
but a dose equivalent to 50 mg/kg given subcutaneously was
found to produce a subacute lethal effect in guinea pigs.
Fischer (1978) reported drug induced abnormalities in
newborns exposed to hexachlorophene.
Brandt et al. (1970) examined transplacental passage
and embryonic fetal accumulation in mice.
An experiment conducted by Maxwell and Le Quesne (1979)
reported that in rats exposed to hexachlorophene for 3
weeks, maximum motor nerve conduction velocity in sciatic
nerves was reduced by 7.5%. Histological examination showed
intramyelin edema affecting some fibers and axonal
degeneration of other fibers. In addition to intramyelin
edema and axonal degeneration, segmental demyelination was
present in animals who had been intoxicated with
hexachlorophene for more than three months. However, there
was no correlation between the degree of edema and reduction
of conduction velocity.
A letter published in Lancet. 1982, described
hexachlorophene poisoning. Another letter by Martin-Bouyer
and Stolley published the following week in Lancet described
the toxicity of hexachlorophene.
Myers et al (1982) adapted a non-invasive method for
measurement of nerve blood flow to test the hypothesis that
increased endoneural fluid pressure causes a reduction in
nerve blood flow in the vasa nervosum. Their study supports
the results that increased endoneural fluid pressure
exacerbates the neuropathy by diminishing local blood flow.
Winchell et al (1982) in studying toxic effects of
hexachlorophene reported myelin-associated glycoprotein was
localized immunocytochemically in periaxonal regions of
oligodendraglia during hexachlorophene intoxication.
Using a technique for microgravemetric analysis of
nerve edema, Castello, Powell and Myers (1982) demonstrated

A2

�increased water content in hexachlorophene neuropathy since
there was a marked difference between hexachlorophene
treated and control nerves. The water content of
hexachlorophene intoxicated nerves was approximately 10%
greater than control nerves.
Schwetz (1985) reported adverse effects of
environmental agents including hexachlorophene on the
central nervous system caused by prenatal exposure.
Rapoport, Menshikova and Bobkova (1985) reported an
embryo toxicity associated with hexachlorophene after
experimenting with dose induced pathology in guinea pigs.
Using Falck-Hillarp fluorescence histochemistry,
Henschenl and Olsen (1983) reported possible toxic effects
of hexachlorophene or sympathetic adrenergic nerves. The
experiment demonstrated a new aspect of hexachloropheneneurotoxicity degeneration of peripheral adrenergic nerve
terminals and suggested that neurotoxic action on this
unmyelinated fiber system should be looked for also in the
central nervous system.
Brandt, et al (1983) when studying the placental
transfer of hexachlorophene in the Marmoset Monkey found the
highest concentration in the liver and intestinal contents
of the late fetus and newborn monkey.
Bouin, Buentzet, Pradal (1983) in a study of resorption
of drugs through the vaginal wall concluded that
hexachlorophene is rapidly and largely absorbed through
vaginal epithelium.
Strickland et al (1983) reported that hexachlorophene
from vaginal lubricants is variably absorbed from the
vaginal mucosa and appreciable amounts can be detected in
maternal and cord serum. Because of the potential for
neonatal hexachlorophene toxicity, they recommended the use
of alternative lubricants for pelvic examinations during
labor.
In a comparative study of chemically induced fetal
death of mice, Dymin, et al (1984) reported the embryotoxic,
gonadotoxic (oligosperma) and mutagenic effects of
hexachlorophene.
While studying the effects of reported hexachlorophene
treatments on the mouse brain, Prosad et al (1984) concluded
the catalytic efficiency of the mouse brain was
significantly decreased during repeated hexachlorophene
treatment. The fall in the activity potential of ACLE may
account for the interference of hexachlorophene which may
contribute to its neurotoxicity.

A3

�After observing 5 infants with transcutaneous
intoxication resulting from hexachlorophene contaminated
talcum powder, Larregue et al (1984) described the
dermatitis as characterized by its red pants shape,
occurring suddenly/ its papyraceous aspect, and its
association with severe encephalopathy. The neurologic signs
with edematous degeneration of myelin characteristic of
hexachlorophene toxicity, start with epileptic fits and
progress rapidly to coma. The prognosis is serious leading
either to death or to paraplegia.
A recently published article by De Caprio et al (1987)
examined the in vitro "dioxin-like activity of the
environmental contaminant 1,2,4,5,7,8 hexachloro
(9H)xanthene. After a number of sites in Missouri had been
contaminated with polychlorinated dibenzodioxins and
dibenzofurons from improper application of waste oil for
dust control, 1,2,4,5,7,8-hexachloro(9H) xanthene, a
byproduct of hexachlorophene manufacture was also detected.
In view of the potential importance of this class of
environmental contaminants, studies were then conducted to
examine the acute oil toxicity in guinea pigs of in-vitro
"dioxin-like" activity of 1,2,4,5,7,8 HCX. No compound or
dose related mortality, body weight loss, or organ weight
changes were noted at any dose level. Results using an in
vitro bioassay for "dioxin-like" activity confirmed
preliminary data suggesting 1,2,4,5,7,8- HCX, is about 10(6)
times less potent than 2,3,7,8, tetrachlorodibenzo-p-dioxin
(2,3,7,8, TCDD). These findings indicate that 1,2,4,5,7,8
HCX may represent a relatively low environmental hazard
compared to 2,3,7,8 TCDD.

A4

�Baurin, M; Guenzet J, Pradal, G.; Resorption of drugs
through vaginal wall; J. Gynecol. Obstet. Biol. Reprod.
1983; 12(7):717-26.
Bhargava, A.S.; Staben, P., Nienweboer, b; Giunzel, P;
Effect of Hexachlorophene on the coagulation process in
beagle dogs, Arzneimittedforshung, 1976;26(12):2183-5.
Brandt, I; Dencker, L; Larson, Y., Transplacental passage
and embryonic-fetal accumulation of hexachlorophene in
mice, Toxicol Appl. Pharmacol; 1979, June 30; 49(2):393401.
Brandt, I, Dencker L; Larson, K.S.; and Siddall R.A;
Placental transfer of hexachlorophene in the marmoset
monkey, Acta Pharmacol Toxicol. 1983 Apr;52(4)310-3.
Carefully avoid hand disinfection, M.M.W.; 1978,
Nov.lO;120(45):1973.
Castellomi, Powell H.C; Myers R.R.; Microgravi-metric
analyses of nerve edema, muscle Nerve, 1982, Apr 5;
(4):261-4.
DeCapro, A.P. Briggs, R., Gierthy, J.L., Kim, J.C.,
Dleepfer, R.D., "Acute Toxicity in the guinea pig and in
vitro "dioxin-like" activity of environmental contaminant
1,2,4,5,7,8 hexachloro(9H)xanethese," J. Toxicol.
Environ. Health 1987;20(3):241-8.
Dymin, V.V., lushkov, G.G.; Minchenko, V.A.; Bogachut, G.P.
Adropova, S.N.; Experimental studies on the embryotoxic,
gonadotoxic and mutogenic effects of hexachlorophene; Gig
Sanit 1984. Aug; (8):25-26.
Fingerhut, M.A., Marlow, D.A., Haperim, W.E., and Honchar,
P.A. The NIOSH Occupational Dioxin Registry; A Status
Report. Presented at the 5th International Conf. on
Dioxin, Bayreuth, Fed. Rep. of Germany, Sept. 16-19,
1985.
Fischer W, Malformations caused by hexachlorophene, M.M.W.
1978 Novio; 120(45):1973.
Hanig, J.P., Yoder, P.O., Krops, S., Protection with
butylated hydroxytoluene (BHY+T) and other compounds
against intoxication and mortality caused by
hexachlorophene; Food Chem Toxicol; 1984 Mar 22(3):185-9
Henschen, A; Olson,L; Hexachlorophene induced degeneration
of adrenergic nerves; a\application of quantitative image
analysis to Falch-Hillarp flurescence histochemistry;
Acta Neuropathol (1983)59(2):109-14.

A5

�Hexachlorophene-interim caution regarding use in pregnancy.
F.D.A. Bui. 1978, Aug-Sep;8 (4)26-7.
Hopkins, J. Hexachlorophene: more bad new than good, Food
Cosmet Toxicol, 1979, Aug; 17(4):410-2.
Hussey, H.H., Editorial: Hexachlorophene bating of neonates,
JAMA. 1975, Jul.14:233(2):172
Larreque, M., Laidet, B., Ramdene, P., Dyeridi A; Caustic
diaper dermatitis and encephalitis secondary to the
application of talcum contaminated with hexachlorophene;
Ann Dermatol Venereal 1984; 111(9):789-97.
Martin, Bouyer G, Stolley P.P., Hexachlorophene poisoning/Lancet 1982, May 15; 1 (8281):1121.
Maxwell, I.e., Le Quesne, P.M., Conduction velocity in
hexachlorophene neuropathy: correlation between
electrophysiological and histological findings; J. Neurol
.; 1979 Sep 43(1) 95-110.
Myers, R.R; Mizisin A.P.; Powell, H.C.; Lampert P.W.,
Reduced nerve blood flow in hexachlorophene neuropathy;
relationship to elevated endoneurial fluid pressure. J.
Neuropathal EXP Neruo; 1982 Jul; 41(4) 391-9.
Prasad, G.V., Rayendra, W., India K; Catalytic potential of
field mouse Mus bllduga brain acetylcholinesterase during
repeated hexachlorophene treatment, Toxicol Lett; 1984;
Nov. 23(2):177-82.
Rapoport, K.A.; Menshikova, T.A., Bobkova, E.A.,
Experimental data on the study of the embryotoxic acton
of hexachlorophene, a component of antimicrobial textiles
and household chemicals; Gig. Sanit; 1982 Oct; (10)26-9.
Schwetz, B.A., Reproductive toxicity of environmental
agents; Annu Rev. Public Health 1982;3:1-27.
Siddigui, M.A. Mahmood I, Basit, N; Ahmed S., Bukhariao,
Antimicrobial and toxicological studies on an antiseptic
based on hexachlorophene and destructive destillate of
castor oil. G. Batteriol Viol. Immunol. 1978, JulDec;71(7-12):191-9.
Stenblack F; Local and systemic effects of commonly used
cutaneous agents: Lifetime studies of 16 compounds in
mice and rabbits Acta Pharmaciol Tociol. 1977 Nov;
41(5):41-31.
Strickland, D.M.; Leonard R.G.; Staochonskey, S.; Benoit T;
Wilson, R.T. Vaginal absorption of hexachlorophene

A6

�during labor; Aroer J. Obstet. Gvnecol; 1983, Decl;
147(7):769-72.
Winchell K.H., Sternberger N.H., Welister H.D., Myelinassociated glycoprotein localized immunocytochemically in
periaxonal regions of abigodendroglia during
hexachlorophene intoxication; Brain Res, 1982, May 13;
239(2) 679-84.

A7

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AllthOT

Blair, Aaron

Corporate Author
Typescript: Research Protocol, a Case-Control Study of
Lymphoma and Soft-Tissue Sarcoma: Association with
Herbicide Exposures, [nd]

Journal/Book Title
Year

000

°

Month/Day
Color
Number of Imaoes

:

16

Descrlpton Notes

Monday, June 11, 2001

Page 1772 of 1793

�Research Protocol

A CASE-CONTROL STUDY OF LYMPHOMA AND SOFT-TISSUE SARCOMA:
ASSOCIATION WITH HERBICIDE EXPOSURES

Aaron B l a i r
S h e l i a K. Hoar
E n v i r o n m e n t a l E p i d e m i o l o g y Branch
N a t i o n a l Cancer Institute
Landout 3C06
Bethesda, Maryland

20205

�A Case-Control Study of Lymphoma and Soft-Tissue Sarcoma:
A s s o c i a t i o n w i t h H e r b i c i d e Exposures

I. Introduction

The E n v i r o n m e n t a l E p i d e m i o l o g y Branch of the National
Cancer Institute is p l a n n i n g to conduct an e p i d e m i o l o g i c
case-control i n v e s t i g a t i o n of soft-tissue sarcoma

(STS), non-

Hodgkin's lymphoma (NHL), and Hodgkin's disease (HD).

The

cases and controls, or t h e i r next-of-kin» w i l l be interv i e w e d by telephone to o b t a i n occupational h i s t o r i e s and
other i n f o r m a t i o n p e r t i n e n t to the o r i g i n s of these cancers.
P a r t i c u l a r attention w i l l be p a i d to h e r b i c i d e exposures.

II. O b j e c t i v e

The objective of t h i s study is to evaluate the effects
of the f o l l o w i n g factors on the development of STS, NHL,
and HD:

1) O c c u p a t i o n a l and non-occupational exposure to
h e r b i c i d e s , in p a r t i c u l a r p h e n o x y a c e t i c a c i d s and
c hloropheno1s.
2) Exposure to p h e n o x y a c e t i c a c i d - c o n t a i n i n g drugs,
eg. c l o f i b r a t e .
3) Other factors such as g e n e t i c syndromes, f a m i l i a l
c l u s t e r i n g , i m m u n o l o g i c d e f i c i e n c y , lymphedema, t r a u m a ,
and exposure to r a d i a t i o n , a r s e n i c , v i n y l
c h l o r i d e , a n d r o g e n i c - a n a b o l i c steroids, a l l e r g e n i c
extract i n j e c t i o n s , and a n i m a l s susceptible to

�sarcoma-inducing viruses.

III. L i t e r a t u r e R e v i e w

Certain h e r b i c i d e s and h e r b i c i d e - c o n t a m i n a n t s
been associated w i t h

teratogenesis,

have

mutagenesis,

and

c a r e i n o g e n e s i s in a n i m a l and b a c t e r i a l e x p e r i m e n t s (Young
AL

et

al.,

1978).

Recent

e p i d e m i o l o g i c s t u d i e s from

Sweden suggest that persons exposed to h e r b i c i d e s may
at

excess

r i s k of cancer.

be

A retrospective cohort study

of r a i l r o a d workers exposed to a m i t r o l e (3-am5no-1»2,4triazole) a n d p h e n o x y a c e t i c a c i d s ( 2 » 4 - d i c h l o r o p h e n o x y a c t i c a c i d
and 2,4,5-trichlorophenoxyacetic a c i d ) showed
of cancer
L,

i n c i d e n c e and m o r t a l i t y (Axelson

1974;

Axelson 0 et a l . » 1980).

and

chlorophenols

and

(Hardell L and Sandstrom A,
1979;

Hardell

risks were
whether

L

STS,

1979;

et al., 1981).

to

were

Sundell

phenoxyacetic

N H L , and
Eriksson

M

HD
et

al.,

For all three cancers,

increased f i v e - to s i x - fold,

exposures

0 and

Case-control studies

revealed a s s o c i a t i o n s between exposure
acids

elevated rates

regardless

of

c o n t a m i n a t e d by p o l y c h l o r i n a t e d

d i b e n z o d i o x i n s (PCDDs) and dibenzofurans (PCDFs).

There

is w i d e s p r e a d p o t e n t i a l for exposure to phenoxy-

a c e t i c a c i d s and chlorophenols.

In a d d i t i o n to h e r b i c i d e

f o r m u l a t i o n s these c h e m i c a l s appear
retardants used

in b l u e s t a i n

i n s a w m i l l s , s l i m e control p r e p a r a t i o n s

in paper and p u l p m a n u f a c t u r i n g , c u t t i n g o i l s and
f l u i d s , wood p r e s e r v a t i v e s , waterproofing agents for leather
and t e x t i l e s , and in m e d i c a t i o n s .

Clofibrate, a plasma l i p i d -

�l o w e r i n g d r u g * is a p h e n o x y a c e t i c a c i d - d e r i v a t i v e and has
i n d u c e d h e p a t o c e l l u l a r c a r c i n o m a s and sarcomas
boda and Azarnoff, 1979).

If the reported

in rats

(Svo-

epidemiologic

associations are causal and as strong as suggested by the
Swedish research, these agents could be r e s p o n s i b l e for a
large p r o p o r t i o n of the cases of STS,

NHL, and HD in the

U n i t e d States.

The e t i o l o g y of STS is largely unknown.

A small propor-

t i o n of cases are related to M e n d e l i a n syndromes

and f a m i l i a l

m u l t i p l e - c a n c e r syndromes (Tucker and F r a u m e n i , 1981; Li and
F r a u m e n i , 1969;
associated

Blattner

with

et a l . » 1979).

genetically

Some cases are

determined

i m m u n o d e f i c i e n c y syndromes and i a t r o g e n i c immunosuppressed
states (Hoover and F r a u m e n i , 1973;
Spector et al., 1978).

K i n l e n et al., 19797

C h r o n i c l y m p h e d e m a has been l i n k e d

to sarcomas in case reports (Dubin et al., 1974).

E x t e r n a l r a d i a t i o n therapy and r a d i o i s o t o p e s have also been
associated

w i t h the d e v e l o p m e n t of sarcomas ( K i m et al., 1978).

Thorotrast, used for r a d i o g r a p h i c s t u d i e s of blood vessels
in the l i v e r , resulted
sarcomas

in a n g i o s a r c o m a s of the l i v e r and

at the s i t e of i n j e c t i o n (da Motta et al.,

Falk et al., 1979a).

1979;

Use of the r a d i o isotope, 1-125, for

treatment of t h y r o t o x i c o s i s was followed e i g h t years later
by the d e v e l o p m e n t of a sarcoma
al., 1978).
and suspected

of the larynx ( M c K i l l o p et

Other agents used m e d i c i n a l l y and o c c u p a t i o n a l l y
of b e i n g associated w i t h d e v e l o p m e n t of STS

i n c l u d e ! a r s e n i c , v i n y l c h l o r i d e , a n d r o g e n i c - a n a b o l i c steroids,
i r o n - d e x t r a n i n j e c t i o n s , and a l u m i n u m compounds

(Falk et al.,

�1979b, M c l l l m u r r a y and L a n g m a n , 1978; W e i n b r e n et al.,1978)
V i r u s e s appear to be r e s p o n s i b l e for the i n d u c t i o n of
sarcomas in c h i c k e n s * cats, and m i c e and may play a role
in the causation of human sarcoma (Kufe et a l . » 1972)»
a l t h o u g h there is no e p i d e m i o l o g i c e v i d e n c e to date.

E p i d e m i o l o g i c studies have also suggested possible
l i n k s between these diseases and selected occupations
(Grufferman et al., 1976, Tucker and F r a u m e n i » 1981).
Woodworkers* c l e r i c a l workers, accountants* engineers,
lawyers, judges, p h y s i c i a n s , and t e x t i l e workers
reportedly have an increased r i s k of HD,

Several, but

not a l l , cohort s t u d i e s of c h e m i s t s have demonstrated
excess m o r t a l i t y from HD and NHL (Li et a l . » 1969; O l i n ,
1976; O l i n , 1978; Searle et al., 1978; Hoar and Pell,

1981 ).

Non-occupational factors associated w i t h HD and NHL
i n c l u d e age, race, sex, g e o g r a p h i c a l l o c a t i o n (Cole and
MacMahon, 1968), socioeconomic status, m a r i t a l status,
e t h n i c i t y , r e l i g i o n , o b e s i t y , s m o k i n g h i s t o r y , coffee
d r i n k i n g h a b i t s (Paffenbarger et al., 1977;

Paffenbarger

et al., 1978), f a m i l i a l cancer h i s t o r y , d i a b e t e s (Kalant
and Seemayer, 1979), s y s t e m i c lupus erythematosus

(Green

et al., 1978), i n f e c t i o u s m o n o n u c l e o s i s (Carter et al.,
1977), c e l i a c d i s e a s e (Douglas, 1977), i m m u n o d e f i c i e n c y
syndromes ( F i l i p o v i c h et al., 1980), tonsi1lectomy (Gutensohn et al., 1975), i o n i z i n g r a d i a t i o n , c h e m o t h e r a p y (Krik o r i a n et al., 1979), i m m u n o s u p p r e s s i v e drugs (Hoover and
F r a u m e n i , 1973), and other exposures.

�Many factors h a v e been suggested as c o n t r i b u t i n g to
the d e v e l o p m e n t of STS,

NHL, and HD but need to be further

e v a l u a t e d and q u a n t i f i e d .

In p a r t i c u l a r , the heavy use of

h e r b i c i d e s a n d t h e h i g h cancer r i s k p o s s i b l y associated w i t h
t h e i r exposure underscores the urgent need to conduct an
independent ep i detn i olog i c i n v e s t i g a t i o n of persons exposed
to these p e s t i c i d e s .

IV. Study Subjects

1) The case group w i l l consist of w h i t e men, aged 21 and
older, d i a g n o s e d w i t h STS,

NHL, or HD, from a r e g i o n where

at least 10% of the w o r k i n g w h i t e p o p u l a t i o n has been engaged
in o c c u p a t i o n a l a c t i v i t i e s that i n v o l v e contact w i t h h e r b i cides.

Kansas has been selected

since it is a w h e a t - p r o d u c i n g

area where h e r b i c i d e use is great but use of i n s e c t i c i d e s
and f u n g i c i d e s is c o n s i d e r a b l y less.
The goal is to select 200 cases of each cancer, however
because the study region is sparsely populated and these
are rare tumors, a m i n i m u m of 100 cases of each cancer w i l l
be acceptable.

Cases from the last f i v e years w i l l be

drawn from the U n i v e r s i t y of Kansas M e d i c a l Center Cancer
Data S e r v i c e , a p o p u l a t i o n - b a s e d cancer r e g i s t r y .

Next-of-kin

w i l l serve as respondents for those cases who h a v e d i e d .

2) The controls w i l l be w h i t e men from the general
p o p u l a t i o n of the g e o g r a p h i c area selected for study.
Three controls w i l l be matched to each case on age (+/yearn), v i t a l status, and area of residence (probably a

2

�m u l t i - c o u n t y unit).
For cases who are currently a l i v e , controls aged 65
years or older w i l l be selected from the Health Care F i n a n c i n g
A d m i n i s t r a t i o n f i l e * to be p r o v i d e d by NCI; whereas, controls
aged 64 years or younger could be selected by telephone
t h r o u g h a random d i g i t d i a l i n g t e c h n i q u e .
For cases who have d i e d before the i n i t i a t i o n of the
study* the controls could be selected from Kansas state
m o r t a l i t y files.

In a d d i t i o n to age at death (+/-

2 years)»

these controls would be matched to the cases on year of death.
Persons whose cause of death is STS, NHL, HD, or a m a l i g n a n c y
of an i l l - d e f i n e d s i t e (ICDA code 195) would be excluded.
The next-of-kin w i l l be i n t e r v i e w e d .
The same controls should be used for the three case
series whenever p o s s i b l e .

The goal is that each case h a v e

three s u i t a b l y matched controls for c o m p a r i s o n .

We anti-

c i p a t e that 700 to 1000 controls w i l l be necessary to
meet t h i s r e q u i r e m e n t .

A s s u m i n g an

level of .05 and 10% of the p o p u l a t i o n

exposed to h e r b i c i d e s , a study of 100 cases w i t h a 3:1
m a t c h i n g r a t i o would be able to detect a m i n i m u m odds r a t i o
of 2.7 w i t h 90% power.

V. Pathology R e v i e w

Pathology blocks, s l i d e s , and/or m e d i c a l records w i l l
be o b t a i n e d for c o n f i r m a t i o n of the d i a g n o s i s of STS,
or HD.

NHL,

S p e c i m e n s w i l l be r e v i e w e d by NCI p a t h o l o g i s t s .

�VI. Interv i ew

The cases and controls, or t h e i r next-of-kin,

w i l l be

i n t e r v i e w e d by telephone c o n c e r n i n g the f o l l o w i n g items:
Date of b i r t h
Place of b i r t h
Mar i tal status
Religion
Ethnicity
Height/Weight
Education
O c c u p a t i o n (emphasis on exposure

to p h e n o x y a c e t i c

acids, chlorophenolsi arsenic

compounds,

v i n y l c h l o r i d e , poultry, other b i r d s ,
and cats)
N o n - o c c u p a t i o n a l use of h e r b i c i d e s
Smok i ng
Coffee d r i n k i n g
Fam i 1 i a 1 cancer
Trauma
Present or past m e d i c a l c o n d i t i o n s

(diabetes,

eczema, a l l e r g i e s , chloracne, v a r i c e l l a
[ c h i c k e n pox], s y s t e m i c lupus erythematosus, i n f e c t i o u s m o n o n u c l e o s i s ,
celiac disease, immunodeficiency
syndromes)
M e d i c a l treatments

(phenoxyacetic a c i d - c o n t a i n i n g

drugs, t o n s i l l e c t o m y , i o n i z i n g
r a d i a t i o n , chemotherapy, immunos u p p r e s s i v e therapy, allergy shots,

�vaccines, iron-dextran injections,
a n d r o g e n i c - a n a b o 1 i c s t e r o i d s » Fowler's
solution* amphetamines, diphenylhydanto i n, etc . )

VI. Proposed Study Steps

1. O b t a i n d e m o g r a p h i c , a g r i c u l t u r a l , and i n d u s t r i a l charact e r i s t i c s of the g e o g r a p h i c area from w h i c h the cases
and controls w i l l be selected.

2. Develop an i n t e r v i e w schedule.

Conduct a pretest and make

necessary r e v i s i o n s .

3. O b t a i n necessary clearance for the i n t e r v i e w schedule and
project protocol from the NCI E n v i r o n m e n t a l E p i d e m i o l o g y
Branch T e c h n i c a l E v a l u a t i o n of Projects and Q u e s t i o n n a i r e s
C o m m i t t e e , the Office of Management and Budget,
state v i t a l records offices, and p a r t i c i p a t i n g hospitals.

4. Identify the w h i t e men, aged 21 years or older, who were
d i a g n o s e d w i t h STS, NHL, or HD, and who r e s i d e d in the
g e o g r a p h i c area selected for study.

Select the cases

from the f i v e most recent years.

5. Select three controls per case, m a t c h i n g on age (+/-

2

years), v i t a l status, year of d i a g n o s i s or d e a t h , and
area of r e s i d e n c e (probably a m u l t i - c o u n t y u n i t ) .
p o p u l a t i o n controls u s i n g HCFA f i l e s , random d i g i t
d i a l i n g , and Kansas state m o r t a l i t y f i l e s .

Use the

Draw

�same controls for the three case s e r i e s whenever
possible.

6. O b t a i n c o p i e s of death c e r t i f i c a t e s for deceased cases
and controls.

7. O b t a i n and r e v i e w pathology blocks, s l i d e s , and/or m e d i c a l
records for c o n f i r m a t i o n of the d i a g n o s i s .

8. Develop t r a i n i n g and procedure manuals for s u p e r v i s o r s i
i n t e r v i e w e r s * abstractors* and coders.

9. Locate cases and controls* or t h e i r next-of-kin.

10. Prepare i n t r o d u c t o r y

and informed consent letters

and o b t a i n consent of cases and controls* or t h e i r nexto f - k i n * p r i o r to c o n d u c t i n g i n t e r v i e w s * in accordance
w i t h e x i s t i n g federal, state, and local r e g u l a t i o n s .

1 1 . H i r e a n d t r a i n s u p e r v i s o r s * i n t e r v i e w e r s , abstractors*
and

coders.

12. Conduct telephone i n t e r v i e w s of the cases and

controls,

or t h e i r next-of-kin.

13. O b t a i n c o r r o b o r a t i v e e v i d e n c e of h e r b i c i d e exposure from
resources, such as employers, employees, or a g r i c u l t u r a l
a g e n c i e s , for study subjects suspected of h a v i n g such
exposure.

T h i s i m p o r t a n t step w i l l reduce p o t e n t i a l

observer b i a s i n t r o d u c e d by i n t e r v i e w e r s aware of the

�study hypothes i s

14. R e v i e w , e d i t , and code all completed

15. Analyze the data.

16. W r i t e a f i n a l report

17. Document each step of the study

interviews

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                  <text>&lt;p style="margin-top: -1em; line-height: 1.2em;"&gt;The Alvin L. Young Collection on Agent Orange comprises 120 linear feet and spans the late 1800s to 2005; however, the bulk of the coverage is from the 1960s to the 1980s and there are many undated items. The collection was donated to Special Collections of the National Agricultural Library in 1985 by Dr. Alvin L. Young (1942- ). Dr. Young developed the collection as he conducted extensive research on the military defoliant Agent Orange. The collection is in good condition and includes letters, memoranda, books, reports, press releases, journal and newspaper clippings, field logs and notebooks, newsletters, maps, booklets and pamphlets, photographs, memorabilia, and audiotapes of an interview with Dr. Young.&lt;/p&gt;&#13;
&lt;p&gt;For more about this collection, &lt;a href="/exhibits/speccoll/exhibits/show/alvin-l--young-collection-on-a"&gt;view the Agent Orange Exhibit.&lt;/a&gt;&lt;/p&gt;</text>
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                    <text>Item ID Number

01769

Author

Woods, James S.

Corporate Author
Roport/Artldo TitlB Soft Tissue Sarcoma and Non-Hodgkin's Lymphoma in
Relation to Phenoxyherbicide and Chlorinated Phenol
Exposure in Western Washington

JOIirnal/BOOk TltlB

Journal of the National Cancer Institute

Year

1987

Month/Day

Ma

Color
NumbOT oflmaD.es

v

n

12

Descripton Notes

Monday, June 11, 2001

Page 1770 of 1793

�Soft Tissue Sarcoma and Non-Hodgkin's Lymphoina In Relation
to Phenoxyherbicide and Chlorinated Phenol Exposure In
sg^a*!*! Vllaohtin/v$rtn 1-2

.•S'v/

s 8. Wood.-*, Ph.D., 3 Lincoln Pcilssar, P/j.D., * Richard K. Sewr,&lt;m, P/7.D.,4
Linda S. Heuser, MA,4 and Bruce G., Kuiander, Af.D. 5&gt;9

propionic acid (Silvex), which have been reported to be
contaminated with TCDD as high as 30 ppm (16).
Moreover, TCDD is the prototype of a larger series of
halogenated aromatic hydrocarbons including other
PCDDs, dibenzofurans, and biphenyls, all of which
share similar biochemical properties and which may
also contaminate phenoxyherbicide or chlorophenol
products in commercial use. Hence concern exists regarding the possible health risks from exposure to chemical
products in which any such contaminants may be
present.
The present study was conducted to investigate the
relationship between the incidence of STSs and NHLs
and past exposure to phenoxyhevbicides and chlorinated
phenols with the use of population-based case-control
approach. Subjects were drawn from the male population of western Washington State, where phenoxyacetic
acid herbicides and chlorophenols have been widely
utilized during the past 40 years by agricultural, forestry,
and wood products industries. Specific emphasis was
placed on identification of intervening factors or conditions that may influence human susceptibility to the
risk of cancer in association with exposure to phenoxyacetic acids, chlorophenols, or PCDDs.

ABSTRACT—A population-based case-control sfcudy was conducted in western Washington Stale io evaluais the relationship
between occupations) exposure of men aged 20-79 to phenoxyacetic acid herbicides and chlorinated phenols and the risks of
developing soft tissue sarcoma (STS) and non-Hodgkin's iymprioma (NHL). Occupational histories and other data were obtained
by persona! interviews for 128 STS cases and 576 NHL cases,
diagnosed between 1981 and 1984, and for 894 randomly selected
controls without cancer. Among the study subjects with any past
occupational exposure to phenoxyherbicides, ihe estimated relative risk ar.d 95% confidence intern! of developing STS was 0.80
(0,5-1.25, and of developing NHL, 1.07 (0.8-1.4). Risk estimates of
developing STS and NHL associated with past crtlorophenoi exposure were 0.99 (0.7-1.5) and 0.99 (0.8-1.2), respectively. No
increasing risk of eirfiar cancer was associated with overall duration or infensity of chemical exposure or with exposure to any
specific pher.oxyherbicide per se. However, estimated &lt;-isks of NHL
were elevated among men who had been farmers, 1.33 {1.03-1.7),
foresiry herbicide applicators, 4.80 (12-19.4), and for those potentially exposed to pr»enoxyherbicic!es in any occupation for 15 years
or more ouring the period prior to 15 years before cancer diagnosis, 1.71 (1.04-2.8). increased risks of NHL were also observed
among those with occupational exposure to organocriiorine insecticides, such as DOT [1,82 {1.04-3.2)} and organic solvents [1 35
(1.08-1.7)), and to other chemicals typically encountered in the
agricultural, forestry, or wood products industries. These results
demonstrate small but significantly increased risks of developing
NHL in association with some occupational activities where phenoxyrterbicirjes have been used in combination with other types of
chemicals, particularly for prolonged periods. They do not demonstrate a positive association between increased cancer risks and
exposure to any specific phenoxyter&amp;icide product alone. Moreover, these findings provide no evidence of increased risks of
developing NHL associated with chlorinated phenol exposure or of
developing STS associated with exposure to either class of
chemicai.—JNC! 1987; 78:399-910.

ABBREVIATIONS USED: CSS=Cancer Surveillance System; 2,4-0=2.4(dichlorophenoxy;acetkacid; DDT= l,l'-(2,2.2-trichloroethylidcoe;bis
[•1-chIorobenz.enel; !CD-O = International Classification of Diseases for
Oncology, First Revision; NHI. = non-Hodgkin's lymphoma; PCDD—
poll/chlorinated dibenzo-p-dioxin; STS—soft tissue sarcoma; 2,4,5-T=
(2,4.5-mchlorophcnoxy(acetic acid; TCOD=2,3,7,8-tetrachlorodibenzop-dioxin.

1

Recent studies from Sweden (7-5) and elsewhere
(6-10} have reported an increased risk of STSs or NHLs
in association with occupational exposures to phenoxyacetic acid herbicides and/ or chlorinated phenols. Negative studies of this association have also appeared
(11-15). Implicated as the putative carcinogen in most
of these studies is TCDD (CAS: 1746-01-6), a trace contaminant formed during the manufacture of chemicals
that are derived from alkaline hydrolysis of 1,2,4,5tetrachlorobenzene. Of particular concern in this respect
are 2.4,5-trichlorophenol and the phenoxyherbicides
2,4,5-T (CAS: 93-76-5) and 2-&lt;2,&lt;t,5-trichlorophenoxy)-

Received June 30, 1986: accepted October 2!, 1986.
^Supported by Public Health Service grant CA-29900 from the Division ot Extramural Activities, National Cancer Institute.
'Batielle Human Affairs Research Centers, 4000 N.E. -Hst St., Scattie, WA 98105.
'The Fred Hutchinson Cancer Research Center, 1124 Columbia St.,
Seattle. WA 98 KM.
Swedish Hospital Medical Center. Seattle. WA 98104.
6
We are indebted to the staff of the Epidemioiostic Research Unit of
the Fred Hutchinson Cancer Research Center for their assistance in the
conduct of this study. Also, we gratefully thank Frans M. Enzinger,
M.D.. Chairman, Department of Soft Tissue Pathology, Armed Forces
Institute of Pathology, Washington, DC, for assisting in the confirmation and histologic classification of soft tissue sarcoma case materials
in this study.

899

JNCI. VOL. 78, NO. 5, MAY 1987

�900 Woods, Polissar, Severson, et ai.
SUBJECTS AND METHODS

Acquisition oj cases and controls.—From 1983 through
1985 men with either STS or NHL were identified
through the CSS, a population-based turner registry that
has covered 13 counties of western Washington State since
1974. Men eligible to participate in the study were
between the ages of 20 and 79 at diagnosis and had been
diagnosed during the years 1981-84 as having either STS
or NHL, as classified hisiologically by the World Health
Organization ICD-O (17). Case definitions of eligibility
for STS by OCD-O codes are 8800-8804, 8810-8813,
8830-8832, 8840, 8850-8860, 8890-8920, 8990-8991, 904090-14, 9120, 9130, 9150, 9170, 9251, 9260, 9503, 9540-9560,
and 9580-9581. Case definitions of eligibility for NHL
by ICD-O codes are 9590-9642, 9690-9701, and 9750.
The CSS obtains data, from all hospitals throughout a
13-county region, and essentially complete population
coverage is attained.
During 1983-85 a control group without STS or NHL
was also selected. Live control subjects aged 20-64 were
chosen by means of a random-digit-dialing procedure as
described by Waksberg (18). Because the elderly are relatively sparse in the general population, it was not economical to locate all older controls by random digit
dialing. Thus additional live coutrol subjects aged 65-79
were chosen at random from data supplied by the
Health Care Financing Administration covering Social
Security recipients in the study area. Controls were
group matched to NHL cases by vital status and 5-year
age group with a ratio of 1.2 controls per case. Deceased
controls exclusive of homicides and suicides were identified from noncancer death certificates for persons aged
20-79 with a date of death occurring during the study
period and with a residence within the 13-county study
area. The disposition of case and control subjects
according to vital status, interview outcome, and pathologic review of STS is presented in table 1.
Interview procedure.—All study subjects, including
proxies, were interviewed in person by experienced
interviewers at a time and location of their choice. The
interview lasted approximately 1 hour and covered the

participant's residential, military, and medical histories
with a detailed section on occupational exposures to
herbicides, chlorophenois, and other chemicals prior to
diagnosis or interview. Detailed information on known
or suspected risk factors for STS and NHL, including
past history of iraraunosuppressive disorders, use of
immunosuppressant medication, or family history of
cancer or immune disease, was also obtained. Additional
information, including pathology, stage, extent of dasease, and date of diagnosis, was collected for each case
from data supplied by the CSS, "Exposure" for all variables refers to that occurring prior to the date of diagnosis for the cases and prior to the date of interview for
controls. The effect of recall differences on cancer risk
owing to the difference in lapse time between diagnosis
and interview for the cases {^1 yr) versus initial contact
and interview for controls (•=*! mo) was evaluated and
found to be negligible. Risk estimates among living and
deceased cohorts were comparable for essentially al!
associations; hence living and deceased groups were
combined in all analyses.
The questionnaire utilized in the interview was designed after identifying the principal occupations and
activities undertaken within the study area that have
involved the manufacture or use of phenoxyherbicides
and/or chlorophenois. Such occupations and activities
were identified in consultation with local industrial and
university representatives who had had long-term experience with forestry, wood products, and agricultural
industries in the Pacific Northwest. This consultation
resulted in identification of 34 specific job titles (e.g.,
wood products worker; herbicide applicator) and 37
specific job activities (e.g., spray weeds with phenoxyherbicides; manufacture chlorophenois) involving potential exposure to either phenoxyherbicides or chlorophenois. In addition, 14 specific phenoxyherbicide or
chloropheriol preparations in common commercial use
in the study area were identified. Each job title or activity was then assigned to a "high," "medium," "low," or
"no" exposure category for both phenoxyherbicides and
chiorophenols, reflecting the consensus of the consultant group of the likely intensity of exposure to each

TABLE 1.—A ease-control study of STS and NHL in relation to phetioxyherkicide a&gt;id cM&amp;ro-phmol
Subject

Total identified as eligible
Physician refusal
Respondent refusal
Other reasons for noninterview
Total interviewed
Excluded by pathologic review
Excluded as noneligihle post
interview 4
Total subjects for analysis

Dead

Living
No.

Percent

150
20
-1
6
120
21
2

13
3
4
80
18"
_

97

_

JNCI. VOL. 78. NO. 5, MAY 1987

Dead

Living

Dead

Living
No.

Percent

No.

Percent

No.

Percent

No.

Percent

527
80
15
24
408

15
3
o
77

219
23
8
10
178

—
11
4
5
81

622
—
95
51
476

—

—4

—

—1

288
—
29
40
219
—
0

10
14
76

12
0

Percent
_-.
13
-I
7
77
28"
—

31

—

402

174

—

475

219

—

No.

56
7
2
4
43

" Percent of total interviewed.
Based on diagnosis, age, residence, or date of diagnosis.

6

Controls

NHL

STS

Subject disposition

e m western Washington State:

—6

._.
__

15
8
77
—
—

—

�STS and NHL and Chemical Exposure in WA 901

chemical received in that occupation. Examples oC
occupational activities in- each exposure category are
:
given in the tables.
In the interview, cue questions refeiring to each specific job tide, activity, or chemical preparation were
asked to determine whether a subject had worked in an
occupation involving probable exposure to phenoxyherbicides or chlorophenols. If an affirmative response
to any cue question was elicited, a series of additional
inquiries was made to acquire detailed information
regarding the extent of exposure to specific chemicals of
interest and the precise lime intervals during which each
exposure episode had occurred. Among the additional
questions asked was an inquiry regarding the name and
address of the supervisor or a close co-worker in eacli job
episode where possible chemical exposure had occurred.
This information was used with subject's permission to
corroborate self-reported exposure to specific chemicals
and to verify exposure histories in instances where the
subject or his proxy was uncertain regarding the actual
exposure circumstances in that job. Additional measures
taken to reduce the likelihood of recall bias with respect
to the reporting of pherioxyherbicide or chlorophenol
exposure included avoiding a deliberate focus on these
specific chemicals in the interview and conducting the
interview during a period (1983-85) of relatively low
local or national media attention to die herbicide-cancer
issue, The .-study was not advertised locally, and subjects
were not made aware of the focus of the investigation
except that it had broad implications with respect to
environmental factors related to cancer etiology.
In coding occupational exposure to phenoxyherbicides or chlorophenols based on job descriptions, the
inclusive dates during which a person was employed in
any specific occupation or activity were recorded in the
questionnaire. In the analysis, however, occupational
exposure to phenoxyherbicides and chlorophenols was
considered to have begun no earlier than 1945 and 1937,
respectively, the years when these chemicals first came
into widespread commercial use in the study area. The
coding of each job episode held by a study subject
according to intensity and duration of exposure permitted evaluation of the exposure history of each subject
in terms of duration of continuous or cumulative exposure at each dose level. Thus a complete exposure profile on each subject for each class of chemical under
evaluation was obtained.
Quality control procedures.—Several quality control
procedures were employed 10 verify the accuracy of the
data collected by interview. First, 145 respondents from a
total of 1,444 who completed interviews were randomly
selected and were recontacted by telephone approximately 1 month after the interview date. Interview and
reinterview responses to seven questions were compared.
Five of the seven questions reflected an 88% or higher
agreement with the original interview, and one item had
an 81* agreement rate. The remaining item, cups of coffee consumed per week, had a 34% agreement rate,
although 55% of the discrepancies involved minor disagreements regarding the precise number of cups consumed.

A second quality control procedure consisted of independent receding of a random sample of 238 coded
interviews. The overall agreement rate between codes
and recedes was 99%. The agreement rate was 98.9% for
codes pertaining to phenoxyherbicides and 98.3% for
codes pertaining to chlorophenols.
Pathologic review of soft tissue sarcoma case materials,—Pathologic review of histologic slides and/or sections prepared from tissue blocks of STS cases was conducted to verify die initial diagnosis of STS. Reviews
v/ere performed by a pathologist (B.K.) with expertise in
soft tissue tumors. For the review of STS, specimen
materials were acquired from each participating hospital where the initial diagnosis of STS was made and
were then coded and sent "blind" to the project pathologist. In all, histologic material from 155 cases was
obtained for review. Twenty percent of the slides or
sections were resubmitted to the pathologist as an internal check of his first diagnosis. In a few circumstances
the project pathologist disagreed with either the CSS or
himself regarding the diagnosis of either STS per se or
the specific histologic classification of STS. In these
instances a sample of the disparate slides was sent to the
Armed Forces Institute of Pathology in Washington,
DC, for resolution of STS and/or histologic-type classification. This three-tier STS evaluation procedure resulted in retention of 45% of the STS cases in the study
with histologic diagnosis as originally determined, and
an additional 34% of cases retained with STS were confirmed although they were at a different histologic classification than originally made. Of the original cases
21% were determined either not likely to be STS, or of
indeterminate pathology, and, consequently, were excluded from the study. Many of these were primary bone
tumors. In light of the widely accepted high level of
reliability associated with the accurate identification of
NHL according to broad histologic classifications,
pathologic materials from NHL cases were not reviewed
for verification in this study.
Statistical methods.—The data analysis includes estimates of relative risks as odds ratios and their 95% confidence intervals for a number of variables of interest. The
most common confounding variable was age; thus all
relationships were age adjusted by 5- or 10-year age
groups, where possible. Pooled odds ratios were calculated by means of the Mantel-Haenszel method (19).
Test-based confidence intervals were calculated by means
of the method of Miettinen (20). In addition, logistic
regression analysis (21) was used to evaluate the joint
effect of several variables and possible interactions
between chemical exposure and other potential risk factors on cancer risks. The total number of subjects
represented in each analysis varies according to the rate
of unknown responses: for occupational assessments
unknowns were omitted from the analyses. In all other
analyses unknowns were included in the "none" or "no
exposure" category. The percentage of the total study
population responding affirmatively with respect to
specific job titles, exposures, or other characteristic is
presented in the tables. "Significance" in all analyses
was determined at the 5% level.
JNCI, VOL. 78, NO. S, MAY 1987

�902 Woods, PoSlssar, Scverson, et at.
-

-

,

••

-."•&lt; .£!,*'&amp;4:$^': • • " '

'

"''

"•'

TABLE 2.~Seteeted eharaeteriatics of 128 STS cose men, 576 NHL
cose me-it {diagnosed 1981-84),. and 604 interviewed population
control men (1933-85)
Specification- •.•"'- ;• •• • -&amp;;$••V.STS; % ' * NHL, % .
- - - -

:

VU,,

T'-' •

Controls, %

— -vw

High school graduate:," ^g.78.6.v54,:,72.0
" U n k n o w n •-'»'..• '•'. -'-i/
:'5^'-V^ 1.7
!
Race
.---. 4;;';^-'-: |,^*&amp;.'•; "' • . -.White ,
;.V X89.8s^'^'•.94.4"Black
ife, 2.3 ;':*iV'i'2.1
Other
, • • ; • ' •ff;.7.0. '^'.^•."•'^•o 4
Unknown , • -., . o.;i ^v'0.8.
• • '•'
Annual income level
&gt;'.•&gt;*;-•• •'•
.'•n, '
&lt;$15,000/yr
::!25.8 • '-''••:' 28.0'
$I5,000-$30,000/yr . . •V 32,8 ' -':!' 37.3
&gt;$30,000/yr
••-33.6 "" 33.5
Refused
'.:. 3.9
O.S
Unkown
•' 3.9 ' ""' "0.7

:;^-.ii;ao.

26.4
70.6
3.0
95.1
2.3
2.6

39.2
34-3
0.7

' 1.7

w '

V
RESULTS

Characteristics of the Study Population

Table 2 presents a comparison of NHL and STS cases
and controls for selected demographic attributes. The
3 groups were similar in most respects. Notable differences included a higher proportion of STS cases than
controls among subjects in the 20-39 age group and a
higher percentage of STS cases in the "other" race category. Asians account principally for this difference.
Risks Related to Intensity of Chemical Exposure

When estimates of relative risks of both SI'S and
NHL were determined for various levels of phenoxyherbicide or chlorophenol exposure among the entire study
population, no increasing trend or risk estimates significantly different from unity for any exposure level were
seen (table 3). However, elevations in risk were observed
for several specific occupations involving chemical exposure. Estimates of relative risks of STS and NHL for
various occupations involving exposure principally to
phenoxyherbicides are shown in table 4. When viewed
across job categories involving increasing levels of exposure, no clear indication of increasing risk is observed.
No significantly increased risks of either cancer were
seen among those in occupations involving low exposure to phenoxyherbicides, although a nearly significant
1.70 (0.9-3.1) odds ratio for NHL was observed among
landscapers.
Among those in medium-exposure occupations, no
significantly elevated risks of STS were seen. A small
but significantly increased risk of NHL [1.33 (1.03-1.7)]
was observed among farmers, an occupation traditionally associated with regular use of weed killers. This
observation is consistent with reports from other studies
that have identified agricultural occupational groups at
increased NHL risk (22-25). Further evaluation of this
JNCf. VOL. 78. NO. 5, MAY 1987

observation with regard to duration of exposure and to
use of specific substances indicated that the risk of NHL
increased from 1.02 (0,7-1.5) among those working as
farmers from 1'to-9 years to 1.62 (0.9-2.9) among farmers^
with, 10-19 years in that occupation. However,' no"
increased risks of developing NHL were observed among
those with more than 20 years as farmers, 0.92(0.5-1.6)..
Additionally, there were no increased risks of NHL
among farmers who reported having "regularly worked
with" 2,4-D [0.68 (0.3-1.4); CAS: 94-75-7], 2,4,5-T [0.74
(0.3-2.1)], or phenoxyherbicides per se [0.71 (0.3-1.5)]
when compared with study subjects reporting no phenoxyherbicide exposure. The estimated risk of developing NHL among fanners who reported having regularly
; sprayed weed killers by backpack, tractor, or aircraft was
H.13 (0.7-1.9). A risk of developing NHL equal to 1.46
(0.8-2.8) was observed among farmers who reported having worked with the specific organochlorine insecticides
DDT and chlordane.
In occupations associated with high herbicide exposure, none was associated with a statistically significant
increased risk of developing STS. A substantially increased risk of developing NHL [4.80 (1.2-19.4)] was
noted for persons who claimed to have worked regularly
in jobs involving the spraying of weed killers in
national, state, or commercial forests. However, increased risks of tins magnitude were not observed among
those engaged in other herbicide spraying activities or
among those who worked as herbicide formulators or
applicators per se. Further evaluation of the risk of
NHL observed among forestry herbicide sprayers with
respect to specific chemicals used and duration of exposures indicated that all forestry sprayers reported the
combined use of 2,4-D and 2,4,5-T as well as various
-commercial herbicide preparations containing these and
other chemicals. An infinite risk estimate was attained
for developing NHL among forestry herbicide applicators specifically in association with phenoxyherbicide
TABLE 3. —Risk (pooled odd-s ratio) of developing STS or NHL
in men aged 20--79 by estimated intensity of past occupational
exposure to phenoxyherbicides or chloro-phenols: 128 STS cases
and 576 NHL cases (diagnosed 1981-84) and 694. papulatwn
control men (interviewed 1983-85) in western Washington State"
Exposure
category

STS

NHL

OR (95% CD

OR (95% CD

Percent study
population

Phenoxyherbicides
None
Low
Medium
High

1.0
0.56(0.3-1.1)
0.99(0,6-1.7)
0.89(0.4-1.9)

1.0
0.90(0.6-1.3)
0.95(0.7-1.3)
1.24(0.8-1.9)

63.3
12.0
16.5
8.2

Chlorophenols
None
Low
Medium
High

1.0
0.90 (0.5-1,.6)
0.93 (0.6-1..5)
0.93 (0.5-1..8)

1.0
0.97 (0.7- i .3)
0.92 (0.7-1.2)
0.92 (0.9-1.4)

41.5
16.5
31.8
10.2

"The percentage of the total study population in each exposure
category is also presented.

�SYS and NHL and Chemical Exposure in WA
TABLE 4.—Risk (pooled odds ratio) of developing STS or NHL in men aged. 20-79 for specific occupations and activities involving
potential pkenoxyherbicide exposure: ISS men toith STS and-576 men with, NHL in western Washington State (diagnosed 1981-84)
'
'
'
-population control men (interviewed 1983-85)"
Phenoxy herbicides
Occupation or activity

^

__
OR (95% CI)

_

_NHL

Percent study population

OR (95% CD

-

Low exposure
Landscaper
Railway worker
Telephone lineman
Medium exposure
Gardener-groundskeeper
Fanner
Working in sprayed area
High exposure
Herbicide formulator-mixer
Herbicide applicator
Spraying herbicides from backpack
Spraying herbicides from tractor or aircraft
Spraying farmlands with herbicides
Spraying forests with herbicides
Spraying near utility lines or railroad tracks

3.6

0.92 (0.3-2.8)
1.14 (0.6-2.2)
0.73 (0.1-3.6)

1.70 (0.9-3.1)
1.06 (0.7-1.5)
1.28 (0.6-2.6)

10.7

1.07 (0.5-2.2)
1.25 (0.8-1.9)
1.34 (0.7-2.6)

0.83 (0.5-1.4)
1.33* (1.03-1.7)
1.33 (0.9-2.0)

30.0

1.24
1.77
0.80
1.27
1.35

1.53 (0.7-3.3)
1.33 (0.8-3.9)
0.82 (0.4-1.5)
1.51 (0.9-2.5)
1.35 (0.8-2.4)
4.80* (1.2-19.4)
1.03 (0.3-3.1)

2.1
2.2
3.3
4.9
4.3
1.0
0.9

(0.3-5.3)
(0.5-6.6)
(0.3-2.4)
(0.5-3.1)
(0.5-3.3)

—
—

2.4
6.1
8.4

"The percentage of the total study population in each occupation or activity is also presented.

exposure, inasmuch as there were no control subjects
who served as forestry herbicide sprayers and did not use
phenoxyherbicides. This association was statistically
significant with P=.OQ4. However, only a very small
number of exposed subjects (7) were involved. The risks
of STS and NHL associated with all occupations involving potential exposure to phenoxyherbicides considered
together were 0.80 (0.5-1.2) and 1.07 (0.8-1.4), respectively. The risks of developing NHL associated with
exposure specifically to 2,4-D and 2,4,5-T and to phenoxyherbicides in general among the entire study population were 0.73 (0.4-1.3), 0.98 (0.5-2.0), and 0.87 (0.51.5), respectively.

Table 5 presents risk estimates of SI'S and NHL for
various occupations and activities involving chlorophenol exposure. As in the case of phenoxyherbicides,
no clear indication of increasing risks of either STS or
NHL is apparent when viewed across job categories in. volving increasing levels of exposure to chlorophenols.
Somewhat elevated risks of developing STS are suggested for lumber graders [2.66 (1.1-6.4)] and log-lumber
inspectors [4.83 (0.6-38.2)], although other jobs involving comparable chlorophenol exposure offer no suggestion of substantially increased STS risks. No specific
jobs involving chiorophenol exposure were associated
with increased risks of developing NHL. When all

TABLE 5.—Risk (pooled odds ratio) of developing STS or NHL in men aged £0-79 for specific occupations and activities involving
potential chlorophenol exposure: ISS men ivith STS and 576 mm with NHL in western Washington State (diagnosed 1981-84)
and «'&amp;4 population control men (interviewed
Chlorophenol
Occupation or activity

OR (95% CI)
Low exposure
Planer mill worker
Feeder man
Bander man
Medium exposure:
Log-lumber inspector
Sawmill worker
Wood products worker
Fork lift driver in mill
High exposure
Lumber grader
Wood preserver
Manufacturer of chlorophenols

Percent study population

STS
OR (95% CI)

1.55 (0.5-4.7)
1.31 (0.4-4.7)
0.90 (0.2-4.4)

1.39 (0.7-2.7)
1.44 (0.7-2.81)
1.45 (0.6-3.4)

3.1
2.9
1.8

4.83
0.97
1.27
1.52

0.40 (0.0-3.6)
1.03(0.7-1.4)
0.88 (0.6-1.3)
1.44 (0.8-2.6)

0.4
15.0
13.0
4.2

0.94(0.5-1.9)
1.64 (0.6-4.2)
1.72 (0.9-3.4)

3.1

(0.6-38,2)
(0.5-1.8)
(0.7-2.3)
(0.6-3.6)

2.66* (1.1-6.4)
0.79 (0.1-5.9)
1.37 (0.4-4.3)

1.4
3.0

"The percentage of the total study population in each occupation or activity is also presented.
P&lt;.05.

6

JNCI. VOL 78. NO. 5. MAY 1987

903

�904

Woods, Poilssar, Severson, et al.

occupations involving potential exposure to chlorophenois were considered together, the risks of developing STS and NHL were 0.99 (0.7-1.5) and 0.99 (0.8-1.2),
respectively.
Results of Supervisor-Co-worker Survey

Corroboration of self-reported occupational exposure
to pherioxyherbicides, chlorophenols, and other chemicals was sought through telephone contact with employer supervisors or co-workers of subjects who had
been employed in jobs involving potential exposure to
such substances. Confirmation of subjects' responses
regarding exposure was provided in essentially all instances where employers or co-workers could be reached.
There were no significant differences between agreement
rates for cases or controls. The ability to acquire corroborative evidence of exposure (==80% of contacts attempted) was greatest for most recent occupations held.
Risks Related to Duration of Chemical Exposure

Inasmuch as cancer risks may vary with length of
exposure to specific carcinogens or tumor-promoting
agents, it was of interest to estimate the relative risks of
STS and NHL for various lengths of cumulative exposure to either phenoxyherbicides or chlorophenols.
Hence risk estimates of both cancer types for 10-year
durations (1-10, 11-20, &gt;20) of exposure to phenoxyherbicides or chlorophenols were calculated. In this context, exposure refers to any level of occupational phenoxyherbicide or chloropbeaol exposure during any
portion of the time period since 1946 or 1937, respectively, up to the date of diagnosis (cases) or interview
(controls). "Duration" refers to the total length of
cumulative exposure during this time period. From these
calculations, it was determined that the risk of neither
STS nor NHL increased with the duration of phenoxyherbicide or chlorophenol exposure for periods of 20
years or more when all levels of exposure are considered
concomitantly. Moreover, no increased risks of either
cancer were seen when increasing lengths of exposure to

only high levels of phenoxyherbicides or chlorophenols
were considered.
Evaluation of a Latent Period tor Cancer
Development

The average latent period for a carcinogenic effect of
aromatic hydrocarbons in humans has been postulated
to be on the order of 15-30 years (26). It was, therefore,
of interest to determine if exposure to either phenoxyherbicides or chlorophenols prior to an assumed latent
period of 15 years before cancer diagnosis was associated
with an increased risk of STS or NHL. For these determinations, the risk of each cancer type were calculated
for two durations of cumulative exposure (1-14 and &gt;15
yr) during the period between 1946 or 1937 for phenoxyherbicides and chlorophenols, respectively, and 15 years
prior to diagnosis or interview. The results revealed a
significant increase in the risk of NHL [3.71 (1.04-2.8)]
among those with cumulative exposures to phenoxyherbicides of more than 15 years during the period preceding 15 years before diagnosis. When a 5-year latent
period for cancer development was assumed, the risk of
NHL among those with 15 years or more of prelatency
phenoxyherbicide exposure dropped to 1.29 (0.9-2.0). In
contrast, the risk of developing NHL was 2.51 (0.5-13.0)
among subjects with more than 15 years of herbicide
exposure prior to a 25-year assumed latent period. No
increased risks of STS for either chemical or of NHL for
chlorophenols were observed in relation to chemical
exposure for any latent period or cumulative exposure
assumption.
Evaluation of Other Risk Factors for STS and NHL

Since autoimmune diseases, primary immunodeficiency syndromes, and other conditions that compromise immune competence may act as independent risk
factors of STS or NHL, it was of interest to determine
the risks of either type of cancer associated with such
conditions existing prior to the year of cancer diagnosis
(or interview). Table 6 presents risk estimates of STS

TABLE fj.—Risk {pooled odds ratio) of developing STS or NHL among men aged 20-70 with/actors or conditions associated with
compromise of Immune competence: 128 men with STS and 576 men with NHL (diagnosed 1981-84) and 69l&gt; population controls
(interviewed 1983-85) in western Washington, State"
Risk factor
Malaria
Preexisting cancer
Nonskin
Skin
Corticosteroids
Rheumatoid arthritis
Low gamma or imrnunoglobulin
Irnrnunosuppressant drug therapy 6
Immune deficiency in a blood relative

STS

NHL

OR (95% CD

OR (95% CD

1.14(0.4-3.1)

1.47 (0.9-2.5)

4.7

0,88 (0.3-2.5)
1.47 (0,7-3.1)
0.70 (0.4-1.1)

1.24 (0.7-2.1)
1.57r( 1.03-2.4)
0.91 (0.7-1.2)
1.38 (0.9-2.2)
1.59 (0.5-4.ti)
10.97r (2.1-57.3)
1.51 (0.4-o.ti)

4.8
7.5
27.5
5.9
1.0
0.7
0.6

"The percentage of the total study population with each risk factor is also presented.
*Azathioprine, cyclophosphamide, chlorarnbucil, and/or mercaptopurine.
' P&lt;.05.
JNCI. VOL, 78, NO. 5, MAV 1987

Percent study population

�STS and NHL and Chemical Exposure in WA 905
TABLE 7. —Risk (pooled odds ratio) of developing STS or NHL among men aged 20-79 associated with miscellaneous occupational factors
or conditions among 128 men with STS and 576 men vrilh NHL (diayaosed 1981-84) and 694 population controls (intervieujed 1983-85)
in western Washington State"

Condition
Insecticides
Chlordane
DDT
Industrial chemicals
Organic solvents
Lead-lead arsenate
Welding-metal fumes
Chloracne
Skin blisters from chemicals
Cigarette smoking
Coffee drinking

J!TS

NHL

OR (95% CI)

OR (95% CI)

0.96 (0.2-4.8)
1.10 (0.4-3.2)

1.61 (0.7-3.8)
1.82* (1.04-3.2)

1.6
4.0

1.10
1.51
1.30
3.32
1.72
0.93
0.49

1.35* (1.06-1.7)
1.60* (1.1-2.3)
1.31* (1.03-1.7)
2.12 (0.6-7.0)
1.06 (0.7-1.6)
0.85 (0.8-1.1)
1.28 (0.9-1.9)

29.8
12.0
31.1
1.0
7.8
73.5
89,8

(0.7-1.7)
(0.9-2.6)
(0.9-2.0)
(0.8-14.0)
(0.9-3.2)
(0.6-1.4)
(0.4-1.2)

Percent study population

" The percentage of the total study population with each condition or factor is also presented.
* P&lt;-.ftfi

and NHL for a number of such conditions or factors.
All assessments were made from subject interviews, not
from medical records, Immunosuppressant drug therapy
received for any reason prior to the year of diagnosis of
NHL was the greatest risk factor for either cancer.
Immune deficiency in a blood relative was also associated with an increased (although nonsignificant) risk
of NHL. In contrast, the use of cordcosteroids for
observed periods of use up to 29 years was not associated
with an increased risk of either cancer type.
Of specific note is the 1.38-fold increased risk of NHL
observed in relation to a history of rheumatoid arthritis.
Although not statistically significant, this observation is
interesting in light of the current controversy surrounding the question of increased risks of NHL among persons afflicted with autoimmune diseases (27). Preexisting skin cancer was also associated with a slightly
increased risk of both STS and NHL. Although the
type of skin cancer was not ascertained in this study,
several histologic types of STS and NHL can have dermal manifestations that could have been misreponed as
"skin cancer." Among these are the soft tissue tumors,
dermatofibrosarcoma (8832/3) and Kaposi's sarcoma
(9140/3), and the non-Hodgkin's lymphorna, mycosis
fungoides (9700-9701/3). Kaposi's sarcoma was excluded
from evaluation in this study, and none of those reporting skin cancer was found to have this form of STS.
Among those 12 STS cases reporting a prior history of
skin cancer, none was found to have dermatofibrosarcorna; among 53 NHL. cases, none had confirmed
mycosis fungoides.
Malaria was evaluated as a potential risk factor for
STS and NHL in light of studies suggesting an etiologic
association between malarial infection and the risks of
developing sarcomas or lymphomas through mechanisms involving piasmodial suppression of immune
defenses against malignant diseases (28, 29). The risk of
developing neither STS nor NHL was significantly elevated in association with a self-reported prior history of
malaria alone.
Finally, table 7 presents risk estimates associated with

various occupational and/or lifestyle factors that were
observed in the present study to independently alter the
risk of STS or NHL and that might, therefore, be considered as potential modifiers of the effect of chemical
exposure on cancer risks. Of particular note is the significantly increased risk of NHL seen among men with
previous exposure to organic solvents, lead or lead arsenate pesticides, and welding and metal fumes. The risk
of NHL was also elevated among men reporting previous exposure to the organochiorine insecticides chlordane and DDT. Also of note is the increased risk of both
STS and NHL observed among those reporting a prior
incidence of chioracne. Although this condition was not
clinically confirmed in this study, this observation is of
considerable interest inasmuch as chioracne is an important clinical manifestation of exposure to high levels of
chlorinated dibenzodioxins and furans in humans (30).
The statistical association of reported chioracne with
phenoxyherbicide exposure was of borderline significance (P&lt;.075) in this study. Neither cigarette smoking
nor coffee drinking was a risk factor for either cancer.
Not shown in table 7 are a number of other factors or
conditions that were also evaluated as potential risks
factors, but for which no significant or suggestive associations with either STS or NHL were found. These
include: exposure to radiation, x-rays, or radioactive
materials; exhaust fumes from motorized equipment;
home use of phenoxyherbicides; residency near areas
sprayed with weed killers; tuberculosis vaccination; consumption of multiple vitamins; eating fish caught in
Puget Sound; and use of alcohol.
Logistic regression analysis was used to estimate the
potential interaction between phenoxyherbicides or
chlorophenois and various other single variables appearing in table 6 or 7 as well as others of interest. Intervening variables for which the interaction with phenoxyherbicides or chlorophenois were determined included:
organochiorine pesticides (DDT+chlordane), lead-lead
arsenate, welding or metal fumes, inherited or acquired
diseases of the immune system, any prior cancer, prior
skin cancer, home use of phenoxyherbicides, family hisJNCI. VOL. 78. NO. 5, MAY 1987

�903 Woods, Polissar, Severson, et ai.

lory of cancer, and family history of diseases of the
immune system. A1J analyses were controlled for age.
Results of the logistic regression analysis for these variables confirmed the magnitude of the risks shown in
tables 6 and 7. None of the interactions between chlorinated phenol or phenoxyherbicide exposure and these
variables was statistically significant, with the exception
of that between phenoxyherbicides and organic solvents
as a. risk factor for NHL. The odds ratio for joint exposure compared with exposure to neither substance was
1.50 with a 95% confidence interval of 1.03-2.18. The
odds ratio estimates from the model for exposure solely
to organic solvents or phenoxyherbicides were nonsignificandy 1.12 and 0.85, respectively. The significance of
the joint exposure in this case may be a result of the
large number of comparisons made in this study or, possibly, due to a genuine synergistic effect.
Positive although nonsignificant interactions were
also observed between exposure to either phenoxyherbicides or chlorophcnols and coexisting or preexisting
autoimmune diseases or immune deficiency syndromes
when those listed on table 6 and others (mononucleosis,
celiac sprue, and Sjogren's syndrome) were considered
jointly. T'his interaction was most notable with chlorophenols where the odds ratio for joint exposure (compared with neither) was 1.40 (0.95-2.07) as compared
with 0.91 (0.72-1.14) and 1.32 (0.99-1.78), respectively,
for chlorophenol or immune deficiency alone. These
observations are worthy of note in light of the widely
held theory (31) that the etiology of malignant lyniphomas involves failure of immunoregulation in the
face of a persistent stimulus for lymphocyte proliferation.
In autoimmune diseases, chronic amigenic stimulation
is provided by the constant exposure to self-antigens,
whereas in primary immunodeficiency syndromes, recurrent infections are the likely source for antigenic
stimulation. In contrast, TCDD is well recognized as a
suppressant of both humoral and cell-mediated immunity in animals (32-34) and has been recently characterized as a depressant of cell-mediated immunity in
humans during prolonged, low-level exposure (35).
Immunosuppression by other PCDDs has also been described (36). Therefore, further consideration should be
given to the possibility that the statistical interactions,
however slight, observed in this study between phenoxyherbicides or chlorophenols and immunosuppressive
disorders have biologic relevance with respect to the etiology of NHL in humans.
DJSCUSSJON

The results of the present study demonstrate significantly increased risks of developing NHL among men
in occupations involving farming and forestry herbicide
spraying and for occupations involving prolonged
phenoxyacedc acid herbicide exposure when a latent
period of 15 or more years before cancer diagnosis is considered. However, neither phenoxyherbicides nor chlorophenols alone appear to constitute a sufficient cause
of either NHL or STS when evaluated within a populaJNCI, VOL. 78, NO. 5, MAY 1987

tion residing in western Washington State, since increased cancer risks were not observed for numerous
other occupations or activities involving comparable
opportunity for exposure to these substances. In this
regard, the present findings are not consistent with
results of studies conducted in Swedish and other populations, which report consistent and substantially increased risks of both types of cancer in association with
occupational exposure to specific chlorophenols or
phenoxyacetic acids or to combinations of these
chemicals.
In consideration of possible reasons underlying the
apparent lack of consistency between the results of
Swedish studies and those conducted here and elsewhere,
three issues that have not received major attention with
regard to this question include: a) differences in the
intensities or dosages of chemicals received by workers
in comparable occupational activities, b) differences in
the extent of environmental (nonoccupational) exposure
to the chemicals received by the respective study populations, and c) differences between study populations with
respect to the proportional distribution of other risk factors that in combination with phenoxyherbicides or
chlorophenols contribute causally to the cancers putatively associated with chemical exposure alone.
In addressing the question of differences in dosages of
chemicals received by workers engaged in comparable
job activities, it is likely that, should the chemicals under
investigation independently increase cancer risks in humans, this effect should be more apparent among persons receiving higher dosages. In considering this possibility as it pertains specifically to application of
phenoxyherbicides, it is known that spraying activities,
as well as work in sprayed areas, extend over substantially shorter periods of the year in Sweden than occur
in western Washington State, owing largely to climatic
differences in the length of the growing season. Thus
Swedish workers participate in activities in which phenoxyherbicide exposure is typically consolidated within
a 2- to 3-month period annually, during which spraying
activities involving intensive herbicide exposures that
extend over several consecutive weeks at a time are not
uncommon (/, 37). In contrast, the annual spraying season in the Pacific Northwest extends over 6-7 months,
during which individual spraying episodes usually span
only a few days at a time and may be separated by weeks
or even months during which no spraying is performed.
Such differences in herbicide use patterns could conceivably lead to Swedish applicators receiving appreciably
higher cumulative exposures to biologically active substances than occurs among workers engaged in less
intensive use patterns, as supported by several studies of
this question (38, 39).
To analyze this possibility quantitatively, we have
employed the phannacokinetic model developed by
Gehring et al. (40) from the oral study of 2,4,5-T in
humans to calculate maximum absorbed daily dosages
of herbicide received by Swedish and American workers.
The workers in question engaged in activities with
comparable job description, namely, herbicide applica-

�STS and NHL and Chemical Exposure in WA 907
tor with the use of tractor-drawn equipment. Calculations, based on urinary herbicide concentrations with
the use of data derived from studies of applicators under
actual field conditions (37, 41), indicate that the maximum daily dose of 2,4,5-T absorbed by American
workers in an application operation involving two
sprayings, 2 weeks apart, is in the range of 12-86 /ug/kgbody weight, with a mean maximum daily dose of
45 MS^kg-In contrast, calculated maximum daily dosages
received by Swedish workers, doing the same type of
work but involving spraying for 3-4 hours/day over a
consecutive 2-week period, ranged from 11 to 315 ftg/kg,
with a mean maximum daily dosage of 90 /*g/kg. Maximum daily dosages received by American workers
involved in other modes of herbicide application were
backpack crew, 19-104 Mg/kg; helicopter crew, 17-23
Mg/kg; and mixers, 12-138 pg/kg. These results suggest
that maximum daily dosages of herbicides received by
Swedish applicators could substantially exceed those
received by American counterparts as well as those
engaged in other modes of spraying operations. From
the pharmacokinetic studies in humans {•/#), it is known
that 2,4,5-T is absorbed and excreted in the urine with a
half-life of about 1 day following a single oral exposure.
Moreover, from measurements of urinary 2,4,5-T, the
maximum dose that can be absorbed on repeated exposures is estimated to be about 100 jug/kg/day, with the
expected maximum concentration in plasma of individuals receiving repeated daily doses reaching a plateau
after 3 days of such exposure. Based on these considerations, the calculated mean maximum daily dose of
2,4,5-T received by Swedish workers under the occupational circumstances described above (90 ng/kg) would
approximate that required to produce the maximum
plasma concentration of 2,4,5-T that could be sustained during spraying operations. Thus Swedish applicators would experience higher sustained tissue levels
during repeated frequent exposure episodes, as well as
higher tissue concentrations of any PCDDs or other contaminants that would be concomitantly absorbed than
would be experienced by American counterparts, who
receive lower exposures on a more sporadic basis.
Although the implications of these calculations with
respect to human cancer risks are difficult to estimate,
they are nevertheless of interest in light of findings from
recent studies of Swedish subjects (42) involving analysis
of PCDDs in abdominal fat from both cases of STS and
NHL as well as control subjects. These studies reported
that cancer cases exposed to phenoxyherbicides 16-31
years previously had levels of highly chlorinated PCDDs
significantly higher than control subjects unexposed to
phenoxyherbicides. Interestingly, no differences in case
or control TCDD levels were seen. These findings are
consistent with the observations from both Swedish (2)
and Danish (7) studies of increased cancer risks among
persons exposed to phenoxyherbicides and chlorophenols
that do not contain detectable levels of TCDD per se but
that are most likely contaminated with a variety of other
chlorinated dibenzodioxins and furans (43, 44), some of
which have been shown to have carcinogenic potential

(45, 46). Moreover, the capacity of TCDD, and presumably its approximate isostereoisomers, to act as a cocarcinogen (47) and a tumor promoter (48, 49) have been
well characterized. These properties are highly dose
dependent. Thus the exposure of Swedish workers to
potentially higher concentrations of biologically active
substances associated with the use or manufacture of
phenoxyherbicides or chlorinated phenols is a consideration possibly consistent with the higher cancer risks
observed in studies on such subjects. A recent study by
Hoar et al. (25) showing that the relative risk of NHL
dramatically increased with the number of days of
phenoxyherbicide use per year among agricultural
workers in the United States supports this view.
Differences in risk estimates observed between this and
the Swedish studies might also be accounted for on the
basis of variation in the extent of nonoccupational
exposure received by the general populations in areas
where the studies were conducted. Several investigators
(50, 51) have recently reported widespread contamination of the general population in the United States and
Canada with PCDDs and PCDFs, based on analysis of
human fat samples. The findings indicate that, although
higher levels of total dioxins and other contaminants
may be seen in some exposed persons, there is considerable overlap in actual tissue concentrations of such substances between some persons with confirmed occupational exposures and others who are not previously
known to have been exposed through job-related activities. These observations suggest dial epidemiologic studies conducted in areas where the extensive use of
phenoxyherbicides and chlorophenols has occurred may
have inadvertently included subjects who have experienced significant exposure to the chemicals of concern
outside of the occupational setting. Should this be the
case, it is possible that estimates of actual risk based on
recall of occupational exposures alone may be underestimated, owing to nondifferential misciassification of
subjects according to exposure status (52).
To estimate the extent to which nonoccupational
exposure to phenoxyherbicides may have occurred in the
present investigation, we have evaluated data from several air-monitoring studies (53, 54) conducted during
the spraying season in the Pacific Northwest. These data
indicate that phenoxyacetic acids as well as PCDDs can
be transported in the atmosphere, either as vapor or
adsorbed on particles, for distances ranging from several
hundred feet up to a mile from die application area (54),
depending on weather conditions and mode of dispersion. The maximum concentration of 2,4,5-T, for example, found in 24-hour collections from sampling stations in one study (55) was 3.4 MS/m3- Concentrations of
up to 10 /ig/rn3 of other phenoxyherbicides have been
detected at sampling sites in agricultural regions of
Washington State (56). If it is assumed that a 70-kg person inhales 30 m3 of air per day, a person residing in the
proximity of a sprayed area could conceivably receive a
dose of 2,4,5-T equal to 1.5 /ig/kg/day during the spraying operation solely from atmospheric sources. These
levels are on the order of 10-50 times less than those
JNQ. VOL. 78, NO. 5. MAY 1987

�908 Woods, Poiissar, Severson, et ai.
received from occupational sources, as described above,
and moreover are received via a different route of exposure (inhalation versus dermal), which could alter absorption rales appreciably. However, 24% of STS cases,
23% of NHL cases, and 21% of control subjects in the
present study responded positively to the question
"Have you ever lived in an area where weed spraying was
routinely done by truck or airplane?" This response
suggests that considerable population exposure to
phenoxyherbicides and their contaminants from environmental sources could have occurred over the 40-year
exposure-assessment period. Eliminating subjects who
reported residential or home use exposures to phenoxyherbicides or chlorophenols in the present study did not
alter the estimated risks of developing STS or NHL.
Hence it is unlikely that bias due to such exposures
could account for the large differences in risk estimates
observed between these and the Swedish studies. Nevertheless, should phenoxyherbicides and/or their contaminants increase the risk of cancer at environmental exposure levels, or, as recently suggested, produce subclinical
immune system alterations that may predispose to sucli
risks (35), it is possible that risk estimates based solely
on assessment of occupational exposures could be attenuated as a result of exposure misclassification. Confirmation of this possibility awaits further investigations
based on direct analysis of tissue chemical content or the
development of a reliable surrogate measure of past
chemical exposure.
A third possible reason for a lack of consistency
between the results of this and the Swedish studies may
be differences between the study populations with respect to the proportional distribution of factors or conditions other than chemical exposure that contribute to
the cancers under evaluation. If, for example, a specific
inherited, lifestyle, or environmental condition that
independently predisposes to increased risks of the
cancer(s) associated widi chemical exposure is more prevalent among Scandinavians than among other populations, increased cancer risks could be observed in the
former group, even if the prevalence of phenoxyherbicide or chlorophenol exposure were the same or even
less than that occurring elsewhere. In this regard it is
interesting to note in the present study that exposure to
the insecticides DDT and lead arsenate as well as to
agricultural and industrial chemicals, such as organic
solvents and welding-rnetal furnes, are associated with
significantly increased risks of developing NHL (table 7).
Compromise of the immune system (31), exposure to
zoonotic viruses (24, 57), and chronic mitogenic stimuli
(2-f, 31) have also been suggested as etiologic factors for
NHL.
The extent to which differences in the proportional
distribution of such factors between Swedish and the
local study populations might account for the inconsistencies observed between the results of this and the
Swedish studies cannot be currently estimated, since
neither the specific conditions that modify the effects of
chemical exposure on cancer risks nor their prevalence
among the respective populations have as yet been idenJNCI. VOL. 78, NO. 5. MAY 1987

tified. However, information based on interview responses from existing studies (4) indicates that Swedish
populations may have had as much as twice the frequency of exposure to DDT (5.8-7.8 vs. 3.8% locally) as
well as to total insecticides (14.6 vs. 7.9%), and this
higher exposure may underlie some increased risk of
developing cancer, particularly NHL, independently of
or in combination with the chemicals currently under
study. On the other hand, the frequency of exposure to
organic solvents, for which a small but significant interaction with phenoxyherbicides was observed in this
study, was approximately equal (28.2 vs. 29.9%) between
Swedish and local study populations. Similarly, the frequency of cigarette smoking, now or ever, among Swedish and local study populations was comparable (71 vs.
73%). Little or no data are available regarding population differences in nutritional, medical, or other lifestyle factors that might serve as component causes of
STS or NHL or that modify the effect of chemical exposures on cancer risks.
The prospect that inherited factors or conditions
among Scandinavians might contribute to increased
risks of developing cancer in that population when
exposed to the chemicals under investigation is another
possibility that might account for differences in risk
estimates observed. Although specific studies of this
question have as yet to be accomplished, laboratory
investigations have shown that the binding affinity of
the TCDD receptor in biological tissues, as well as subsequent receptor-mediated events, are genetically determined and may vary considerably even among different
strains of the same animal species (58). That such variations are also a characteristic of human genealogy is
suggested by recent studies (59) that demonstrate both
the presence of the Ah (TCDD) receptor in human lung
as well as considerable heterogeneity in the human
population in regard to lung Ah receptor concentrations.
. Moreover, evidence of heritable differences in aryl hydrocarbon hydroxylase induction among humans (60) has
been presented. Recently, a hereditary predisposition for
the development of STS has been described in the study
of Danish phenoxyherbicide manufacturers (7). However, no attempt has been made to determine the frequency of this condition among Scandinavian or other
populations or to investigate the extent to which the
presence of such a condition could modify the effect of
chemical exposure on cancer risks.
In the present investigation, we have taken advantage
of the fact that approximately 6% of the population of
the study area is of Scandinavian heritage (61) to make a
crude evaluation as to the extent to which this factor
(Scandinavian heritage) might constitute an increased
risk of STS or NHL in association with phenoxyherbicide or chlorophenol exposure. For this assessment, the
surnames ot all study subjects were segregated into
Scandinavian or "other" categories by a member of the
University of Washington Department of Scandinavian
Languages and Literature who had expertise in Scandinavian genealogy. Through this effort 169 subjects
with Scandinavian surnames were identified including

�STS and NHL and Chemical Exposure In WA 909

15 STS cases, 66 NHL cases, and 88 controls. No
increased cancer risks were associated with having Scandinavian as compared with non-Scandinavian names.
However, when the analysis was restricted to Scandinavians only, the risk estimates for STS in relation to past
occupational chemical exposures were substantially
greater than those observed among the study population
as a whole both for high-level phenoxyherbicide [2.8
(0.5-15.6)] and high-level chlorophenol [7.2 (2.1-24.7)]
exposures. These estimates are comparable in magnitude to those reported among subjects in Swedish (1-5)
and Danish (7) studies. Moreover, the distribution of
predominant histologic types of STS was comparable to
that reported from the Swedish studies (2). No increased
risks of NHL in relation to chemical exposures were
observed among persons with Scandinavian surnames.
Although the assignment of Scandinavian ancestry in
these studies remains unconfirmed, the results are interesting inasmuch as they suggest that factors specific to
Scandinavian descent, as opposed to residency or occupation in Scandinavian countries, may contribute to
increased risks of STS when exposed to the chemicals
under evaluation in this study. Further investigation of
this issue may be warranted to help resolve the inconsistency between Swedish studies and those conducted
elsewhere.
In conclusion, the results of the present investigation
demonstrate increased risks of NHL in several specific
occupations in which phenoxyacetic acid herbicides are
used, as well as for prolonged occupational exposure to
these substances. However, they are not consistent with
results from Swedish and other studies reporting substantially increased risks of either STS or NHL associated with phenoxyherbicides or chlorophenols as sole
or major component causes of these diseases. Since
methods of study design and analysis in this and the
Swedish studies were similar in most respects, it is possible that factors specific to the populations under evaluation account for the inconsistencies observed. Concerns that bear further consideration in this regard
include possible differences in the intensity or distribution of chemical exposures between the study populations and variations in the proportional distribution of
specific inherited, life-style, and/or environmental factors that modify the effect of chemical exposure on the
risks of cancer development.
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01764

Author

Fingerhut, Marilyn A.

Corporate Author
ROpOrt/ArtiOlO TltlO Review of Exposure and Pathology Data for Seven
Cases Reported as Soft Tissue Sarcoma Among
Persons Occupational^ Exposed to DioxinContaminated Herbicides

Journal/Book Title
1984

Year
Month/Day
Color

'

Number of Images

17

Descpipton Notes

Monday, June 11, 2001

Page 1765 of 1793

�187

REVIEW OF EXPOSURE AND PATHOLOGY DATA FOR SEVEN CASES
REPORTED AS SOFT TISSUE SARCOMA AMONG PERSONS OCCUPATIONALLY
EXPOSED TO DIOXIN-CONTAMINATED HERBICIDES

Marilyn, A. Fingerhut, Ph.D*
William E. Halperin, M.D., M.P.H.*
Patricia A. Honchar, Ph.D*
Alexander B. Smith, M.D., M.S.*
David H. Groth, M.D.*
William 0. Russell, M.D.**

*National Institute for Occupational Safety and Health
Cincinnati, Ohio 45226
**North Ridge General Hospital and Cancer Foundation,
Fort Lauderdale, Florida 33334

This paper is a work of the U.S. Government; therefore
copyright does not apply.

From

Public Health Risks of the Dioxins,
proceedings of a symposium held on
. October 19-20, 1983 at The Rockefeller
University, New York City. Edited by
William W. Lowrance. Published by William
Kaufmann, Los Altos, California, 1984.

�188 Fingerhutetal.

Data from two Swedish studies (1,2) and a review of four U.S.
studies (3) of dioxin-exposed workers have suggested that
occupational exposure to dioxin-contaminated products is associated
with an increased risk of soft tissue sarcoma (STS). Soft tissue
sarcomas are malignant neoplasms arising throughout the body from
mesenchymal supporting tissue other than bone (4). The principal
types of histopathologic subtypes and their frequencies 'are listed in
Table 1.
:

Table 1. Histopathologic varieties of sarcoma of soft tissue.*
r
&gt;
tPercentage of
Histopathological Variety
Total Cases
r

Rhabdomyosarcoma

19.2 "'

Fibrosarcoma

19.0

Liposarcoma

18.2

Malignant fibrohistiocytoma

10.5

Sarcoma of Soft Tissue,
type unspecified

10.0

Synovial sarcoma

6.9

Leiomyosarcoma

6.5

Malignant schwannoma

4.9

Angiosarcoma

2.7

Other types

1.9

* Table presented in Suit, H.D., Sarcoma of soft tissue, CA-A Cancer
Journal for Clinicians 1978; 28:284-295.

The percentages were derived from a study of 1,215 sarcomas by the
Task Force for Sarcoma of Soft Tissue of the American joint Committee
on Cancer (5).
Dioxins are generated as unintended contaminants during the
chemical manufacture of chlorinated phenoxy acetic acids and
chlorinated phenols. The most toxic of the 75 dioxin isomers,
2,3,7,8-tetrachlorodibenzodioxin (2,3,7,8-TCDD), is generated during

�Review of Reported Soft, Tissue Sarcoma Cases 189

the production of trichlorophenol (TCP) and its derivative, the
herbicide 2/4,5-trichlorophenoxyacetic acid (2,4,5-T). Industrial
workers who produce chlorinated phenoxy acetic acids and
chlorophenols, and herbicide applicators who spray these products,
potentially have been exposed to the products and their dioxin
contaminants. In 1977, several cases of soft tissue sarcoma were
reported among Swedish lumberjacks who had had prior exposure to
phenoxy herbicides. This clinical observation led researchers in
Sweden to conduct two separate case control studies (1,2). Both
studies found that persons with occupational exposure to phenoxy
acids or chlorophenols had a fivefold increased risk of developing a
soft tissue sarcoma.
At" about the same time, four studies (6-9) were conducted in~j&gt;
U.S. manufacturing plants of workers exposed to the herbicide 2,4,5-T
and its chemical precursor, trichlorophenol. The dioxin isomer
contaminating these products is the most toxic form, 2,3,7,8-TCDD.
None of the four studies found any statistically significant excess
in total mortality or in death from cancer which was attributed to
dioxin exposure. However, each cohort was small and of insufficient
statistical power to allow adequate evaluation of rare causes of
death. Honchar (3) reviewed the deaths in the four cohorts, and
found that three (2.9%) of the total 105 deaths in the merged cohorts
were reported to be from soft tissue sarcoma. Based on national
statistics, only 0.07% of deaths was expected to be due to this
cause. Table 2 lists these three deaths as Cases 1 to 3.
Subsequently, Dr. Ralph Cook of Dow Chemical Company reported a
fourth, living person in one of these cohorts as having a soft tissue
sarcoma (10). This individual, Case 4, is now deceased. Dr. Marion
Moses of Mt. Sinai reported an additional case of soft tissue sarcoma
in an individual (Case 5) employed at one of the same four chemical
manufacturing sites (11). Subsequently, two additional persons,
Cases 6 and 7, were reported to have soft tissue sarcomas (12). They
worked at a chemical manufacturing site which produced 2,4,5-T, but
which had not been previously studied, and their exposures had not
been confirmed at the time of the reports.

�190 Fingerhutetal.

Table 2. Exposure data from original publications for the seven
U.S. workers.

Case
Number

Type of
Exposure

Type of
Report

Reference

TCP

Mortality Study

Zack, J. and Suskind, R.S,
Journal of Occupational
Medicine 1980; 22;11-14.

2,4,5-T

Mortality Study

Zack, J. and Gaffey, W.R.
Environmental Science
Research 1983; 26;575-591.

TCP

Mortality Study

Cook, R.R. et al.
Journal of Occupational
Medicine T980; 22:530-32.

TCP

Case Report

Cook, R.R. Lancet 1981,;
i:618-619. ^

TCP, 2,4,5-T

Case Report

Moses, M. and Selikoff,
I.J. Lancet 1981; i:
1370.

6

Chlorophenols

Case Report

Johnson, F.E. et al.
Lancet 1981; i:40.

7

Chlorophenols

Case Report

Johnson, F.E. et al.
Lancet 1981; i:40.

We have obtained detailed employment records, medical and
pathological reports, tissue specimens and death certificates for
these seven individuals and present here detailed descriptions of our
occupational and pathologic reviews. We hope, through this report,
to focus attention on the problems associated with the study of soft
tissue sarcomas in dioxin-exposed populations. In addition to our
work at the National Institute for Occupational Safety and Health
(NIOSH), studies of the health effects of dioxin are underway at the
Centers for Disease Control (CDC), the Veterans Administration (VA),
the National Institutes of Health (NIH), and various state agencies
in this country. Other organizations, both here and abroad, are also
conducting studies of soft tissue sarcoma, and the International
Agency for Research on Cancer (IARC) of the World Health Organization
is considering an International Dioxin Registry.

�Review of Reported Soft Tissue Sarcoma Cases

191

EXPOSURE DATA FOR THE SEVEN CASES
Table 3 presents the exposure history of each individual. We
used a rigorous criterion of exposure. An individual was considered
exposed to products contaminated with 2,3,7,8-TCDD

if he had a

company record of assignment to a department producing
trichlorophenol or 2,4,5-T.

Table 3.

Work history information for the seven U.S. workers.
'Duration of
Exposure
(Years)

Case
Number

Facility

Years of
Employment

1

A

1946-1978

TCP Operator

1.9 •"

2

A

1946-1972

2,4,5-T Operator

2.0

3

B

1950-1975

Maintenance

3.5

4

B

1951-1982

TCP Operator
Plant Mechanic
(TCP Department)

19.0

job
Title

5

A

1943-1975

Maintenance Service

6

C

1978-1980

Production Worker

7

C

1951-1980

Production Worker

11 days

The work histories confirmed the original reports that Cases 1, 2,
and 4 were production workers assigned to the trichlorophenol or
2,4,5-T departments. Case 3 was a maintenance worker identified by
the company as assigned to a building where trichlorophenol was
produced.

Case 5 was a maintenance and service worker for 32 years

in a chemical manufacturing site which produced trichlorophenol,
2,4,5-T, and many other chemicals, but he had no record of specific
assignment to a trichlorophenol or 2,4,5-T department. Case 6 worked
two and one-half years in a plant which made 2,4,5-T. He was a
production worker but had no record of assignment to the 2,4,5-T
area. Case 7 is the father of Case 6 and was a production worker at
the same facility for 29 years. His work history showed no record of
assignment to the 2,4,5-T area, although he did work for 11 days

�192 Fingerbut etal.

following hire in 1951 in a pentachlorophenol area. Pentachlorophenol is contaminated with hexa-, hepta- and octachlorinated isomers
of dioxin, but does not contain 2,3,7,8-TCDD. These last three
individuals illustrate some of the difficulties encountered in
attempting to verify exposure in chemical workers. In general,
production workers qlo have records of regular assignment to specific
departments within &lt;|:omplex chemical manufacturing plants, although
their records do not show temporary changes in assignments. However,
maintenance workers such as Case 5 often work throughout an entire
facility and never have recorded assignments in specific departments
From our examination of their work histories we concluded that these
three workers did not meet our stringent criterion of exposure,
they had no recordsjof assignment to a 2,4,5-T or trichlorophenol
process. However, absence of such documentation does not eliminate
i
'
the possibility than they were exposed to dioxin contaminated
products during their routine activities.

PATHOLOGY DATA FOR THE SEVEN CASES

Table 4 summarizes clinical observations obtained from company
medical records, hospital records, and pathology reports for the
seven individuals. All cases were reported to have soft tissue
sarcomas.

Table 4.

Medical information for the seven U.S.

Case
Number

Tumor

1

Malignant fibrous
histiocytoma

Onset of
Tumor

workers.

Age at
Onset

Chloracne

1978

58

yes
yes

Adenocarcinoma,
bladder
Liposarcoma,
rectum

1958

34

1972

49

3

Fibrosarcoma

1973

52

dermatitis

4

Malignant fibrous
histiocytoma

1979

58

yes

Neurogenic sarcoma

1980

57

no

2

�Review of Reported Soft Tissue Sarcoma Cases 193

Table 4.

Continued.

Case
Number

Tumor

6

Fibrosarcomatous
mesothelioma

1980

33

no

Liposarcoma

1980

53

no

7

Onset of
Tumor

Age at
Onset

Chloracne

Cases 1, 2, and 4 had records of diagnosed chloracne. Case 3 had
dermatitis of the face and neck while assigned to the trichlorophenol
building during a period when 49 trichlorophenol workers developed
chloracne (8). But no chloracne was found in the records of Cases 5,
6, and .7.
V

Table 5 presents data on the latency of the tumors (time from
first exposure to diagnosis of the tumor) for each individual.

Table 5.

Latency of tumors for seven U.S. workers.

Case
Number

First Assignment
to 2,4,5-T or TCP
Department

STS Tumor
Onset

Latency*
(Years)

Age
at
Onset

1

1949

1978

29

58

2

1950

1971

21

49

3

1964

1973

9

52

4

1951

1979

28

58

5

never

1980

N.A.**

57

6

never

1980

N.A.

33

7

never

1980

N.A.

53

* Time from first exposure to onset of tumor.
** Not applicable.

Adequate latency for development of cancer was experienced by the
four individuals with records of assignment to trichlorophenol or
2,4,5-T departments (Cases 1 to 4). Since no records of specific
departmental assignment to TCP or 2,4,5-T departments exist for the

�194 Fingertmt et al.

remaining three individuals, latency cannot be assigned for exposure
to 2,3,7,8-TCDD,

DEATH CERTIFICATE DATA VS. PATHOLOGIC DIAGNOSES
AND ICD CODING CATEGORIES

Table 6 compares the diagnoses made by the attending pathologists
with the information on the death certificates.

Table 6. Comparison of death certificate data with original
pathologic diagnoses for the seven U.S. workers.
1

Case
Number

Death
Certificate

1

Malignant fibrous
histiocytoma

Malignant fibrous
histiocytoma

2

Liposarcoma

Liposarcoma

3

Pibrosarcoma

Fibrosarcoma

4

Malignant fibrous
histiocytoma

Malignant fibrous
histiocytoma

5

Carcinomatosis

Myxoid neurogenic
sarcoma

Metastatic
mesothelioma

Fibrosarcoma consistent
with fibrosarcomatous
mesothelioma

N.A.*

Myxoid liposarcoma

7
* Not applicable.

Original
Pathology

"

Individual is alive,

Of the six deceased cases, all of whom had hospital diagnoses of soft
tissue sarcoma, only four had soft tissue sarcoma noted on their
death certificates (Cases 1 to 4). A similar finding was noted in a
study of the accuracy of death certificates conducted by Percy et al.
in 1981 (13). They reviewed almost 50,000 hospital diagnoses and
death certificates and found that of 252 soft tissue sarcomas
diagnosed in hospital records, only 142 death certificates for those
individuals (55%) reported the soft tissue sarcomas. Hence using

�Review of Reported Soft Tissue Sarcoma Cases

195

death certificates as the primary source of cases may lead to
underascertainment of cases.
We found in our review that all four death certificates with
notations of soft tissue sarcoma (Cases 1 to 4) belonged to persons
who had diagnoses of soft tissue sarcoma made by the attending
pathologists. In contrast, Percy (13) found in her large study that
only 56% of death certificates with notation of soft tissue sarcoma
were supported by hospital records with the diagnoses of soft tissue
sarcoma. Hence using death certificates as the primary source of
cases and not confirming hospital or pathologic information may
lead to overascertainment. Researchers conducting epidemiologic
studies should be fully aware of possible underascertainment or
overascertainment.
Table 7 illustrates another issue in the use of death
certificate data: consistency in classification by nosologists, the
experts who code cause of death from death certificates according to
the rules of the International Classification of Disease System
(14).

Table 7. Comparison of death certificate information and nosologic
coding of the information.
Case
Number
1

ICD Category*
Original
Honchar
Publication**
Review***

Death
Certificate
Malignant fibrous
histiocytoma

173.9

171

*

World Health Organization, Manual of the International
Statistical Classification Diseases, injuries and Causes of
Death, Geneva. Ninth Revision, 1975.

**

Zack, J.A. and Suskind, R.S.
1980; 22:11-14.

Journal of Occupational Medicine

*** Honchar, P.A. and Halperin, W.E.

Lancet 1981; i:26S-269.

Case 1 was reported in the original publication as having a malignant
fibrous histiocytoma, which was coded in ICD Category 173.9, "Other
malignant neoplasm of skin, site unspecified". Honchar indicated in

�196 Rngerhutfital.

her review (3) that the choice of her nosologist was ICD 171,
"Malignant neoplasm of connective and other soft tissue".
Misclassification in ICD categories could introduce significant
error. The data in Table 7 suggest that coding by more than one
trained nosologist may be desirable.
Another important issue of classification not addressed by this
review has serious implications for studies of soft tissue sarcoma.
The international Classification of Disease System is a site-oriented
classification scheme. Therefore, sarcomas that develop in the
parenchymatoas organs such as the uterus or stomach are coded into
the ICD categories for the organ site. Only soft tissue sarcomas of
the supporting tissue of the body not specified as arising in organs
are coded in the ICD Category 171. It is possible, therefore, to
select soft tissue sarcoma cases for case control studies in two
ways. For the early Swedish studies (1,2) cases were selected by
their histopathologic characteristics; approximately 60% of these
cases are coded in categories other than ICD 171 (15). A current
case control study in New Zealand (16) includes only soft tissue
sarcoma cases coded as ICD 171. Such differences in study design
must be recognized when evaluating results. The problem presented by
the ICD dual classification scheme is slightly different for cohort
mortality studies. It is possible to compare sarcomas coded as ICD
171 with those arising in the national population; however, we are
not aware of population rates for soft tissue sarcoma coded into
other ICD categories.

ORIGINAL REPORT DATA VS. NEW REVIEW DATA

Table 8 compares the original pathologic diagnoses for the seven
individuals with the diagnoses selected in two independent pathologic
reviews of tissue specimens.

�Review of Reported Soft Tissue Sarcoma Cases 197

Table 8. Comparison of the original pathology reports with reports
of two reviewers.*
Original
Pathology

Case
Number

Review
#1

Review
#2

Malignant fibrous
histiocytoma

Malignant fibrous
histiocytoma

Malignant fibrous
histiocytoma

Invasive pleomorphic
liposarcoma

Poorly differentiated
carcinoma

Carcinoma, poorly
differentiated

Fibrosarcoma

Clear cell carcinoma
spindle cell
with spindling, renal renal carcinoma

4

Malignant fibrous
histiocytoma

Malignant fibrous
histiocytoma

Malignant
'
schwannoma

5

Myxoid neurogenic
sarcoma

Leiomyosarcoma

Malignant fibroh ist iocy tomcux

Malignant
schwannoma

Malignant
schwannoma

6

Fibrosarcoma
Liposarcoma

Myxoid liposarcoma

Myxoid
. liposarcoma

* The tissue specimens were reviewed by one of the authors (W.O.R.)
and also by Franz M. Enzinger, M.D. and Sharon M. Weiss, M.D. of the
Armed Forces Institute of Pathology, Washington, DC.

Although all seven individuals received diagnoses of soft tissue
sarcoma by the original pathologists, only five of the cases were
diagnosed as soft tissue sarcoma in each of the two reviews.

In both

reviews Cases 2 and 3 were identified as carcinomas rather than
sarcomas.

These results indicate that review of tissue specimens by

pathologists with expertise in diagnosing soft tissue sarcomas is
necessary

for epidemiologic studies.

A difficult problem arises for

cohort mortality studies because there is no comparison group for
cases ascertained by expert pathologists.

Rates of disease commonly

used for comparison are those taken from compilations of population
rates based on information from death certificates.
The adequacy of diagnosis of histological subtypes of soft tissue
sarcoma is another issue raised by the data in Table 8. Although the
original pathologists and the reviewers all agreed that five
individuals had soft tissue sarcomas, they agreed on the histological
subtype for only two individuals, Cases 1 and 7.

Even the expert

�198 Ftagerhutetal.

reviewers disagreed on subtype diagnoses for Cases 4 and 5. Because
of the difficulties involved in diagnosing the histological subtypes,
particularly when only a limited amount of tissue is available for
review, we recommend that epidemiologic studies continue to focus on
the outcome soft tissue sarcoma, and assess the distribution of
subtypes only cautiously and with a recognition of the limitations
involved.
The next two tables summarize the exposure histories and the
pathologic findings and compare them to the information published in
the original reports. Table 9 presents data for the four production
workers identified in company studies (6-10) as, 2,4,5-T/ or
&gt;•
trichlorophenol-exposed workers.
r
•X

Table 9. Comparison of original reports with results from this
review for production workers identified by companies as TCP* or
2,4,5-T workers.
Case
Number

Reported Exposure
This
Original
Review
Reoort

Cause of death
Original
This
Report
Review

1

TCP

TCP

STS

STS

2

2,4,5-T

2,4,5-T

STS

Carcinoma

3

TCP

TCP

STS

Carcinoma

4

TCP

TCP

STS

STS

* Terms: TCP, trichlorophenol; 2,4,5-T, 2,4,5-trichlorophenoxyacetic
acid; STS, soft tissue sarcoma.

The reported exposures were confirmed by documentation that the four
individuals had been assigned to 2,4,5-T or TCP processes. All had
been reported as having soft tissue sarcomas, but we report that the
two expert pathologists confirm that only two individuals (Cases 1
and 4) had soft tissue sarcomas. Both of these individuals worked in
trichlorophenol processes, had diagnosed chloracne, and were present
during incidents of unusual operating conditions with probable
exposure to 2,3,7,8-TCDD. The histological subtype of malignant
fibrous histiocytona was selected by all three pathologists for Case
1. Case 4 also received a diagnosis of malignant fibrous

�Bevlew of Reported Soft Tissue Sarcoma Cases

199

histiocytoma from the original pathologist and one reviewer. The
second reviewer identified the subtype as a neurogenic schwannoma.
Table 10 presents the same comparison for the three individuals
originally described in case reports by physicians (11,12).

Table 10. Comparison of original reports with results from this
review for production workers originally described as case reports
by physicians.
Case
Number

Reported Exposure
Original
This
Report
Review

Pathologic Diagnosis
Original
This
/
Report
Review

5

Possibly
2,4,5-T,*
TCP

None

STS

STS

6

Possibly
chlorophenols

None

STS

STS

7

Possibly
chlorophenols

PCP

STS

STS

* Terms: 2,4,5-T, 2,4,5-trichlorophenoxyacetic acid; TCP,
trichlorophenol; PCP, pentachlorophenol; STS, soft tissue sarcoma.

Review of the tissue specimens for all three workers were confirmed
that they had soft tissue sarcomas. Examination of the work history
records of the individuals did not document assignment to 2,4,5-T or
trichlorophenol departments. However, Case 7 worked briefly upon
hire in a pentachlorophenol department.

CONCLUSION
Swedish research (1,2) has drawn attention to the issue of soft
tissue sarcoma and dioxin exposure. While each of the original four
U.S. studies (6-9) reported non-positive findings, a reanalysis (3)
and further reports (10,11) strengthened the suspicion that an
association might exist. Honchar (3) and Cook (10) called for
detailed examination of the data. We present the detailed assessment
of exposure history and pathologic diagnosis and report that of the
four soft tissue sarcoma cases identified by death certificates among

�200 Fingerhut et al.

the TCP and 2,4,5-T workers, two are confirmed following pathologic
review of tissues as soft tissue sarcoma.

It Is not possible to use

our data to draw a definitive conclusion regarding the suspected
association because we are not aware of any population rates for soft
tissue sarcoma based upon pathologic review of tissue specimens.
Cases 5, 6 and 7 were originally described in.the literature as
individual case reports. All three are confirmed as cases of soft
tissue sarcoma.

Our review of their work histories did not find any

record of assignment to 2,4,5-T or trichlorophenol departments,
although Case 7 worked briefly in a pentachlorogfhenol department/ a
product contaminated with isomers of dioxin considered to be less
toxic than 2,3,7,8-TCDD. Although these workers do not meet our ,
stringent criterion of exposure by virtue of assignment 'to a 2,4,5-T
or TCP department, we cannot exclude the possibility that they had
undocumented contact with 2,4,5-T or TCP.
This review examines the complexities in evaluating the dioxin
exposure of individuals and the pathologic diagnoses of soft tissue
sarcoma. It emphasizes the need for carefully-designed large
epidemiologic studies to adequately assess whether there is an
association of soft tissue sarcoma with exposure to dioxincontaminated products.

We have shown that the use of the death

certificate, even with the original pathologic diagnosis may lead to
overascertainment or underascertainment of cases of soft tissue
sarcoma.

Finally, we reassert that further research, particularly

the completion of National Institute for Occupational Safety and
Health studies based upon approximately 6,000 U.S. workers, is
necessary to confirm or refute the association first suggested in the
Swedish studies.

ABSTRACT
We have reviewed medical and exposure records and pathology
specimens of seven U.S. chemical workers reported in the.literature
to be cases of soft tissue sarcoma (STS) and to have had dioxin
exposure. The cases were of interest because two Swedish studies
demonstrated a strong association between STS and dioxin exposure.

�Review of Reported Soft Tissue Sarcoma Cases 201

Four U.S. workers from four small mortality cohorts had been reported
to have died of soft tissue sarcoma. We found that these individuals
had employment records of assignment to production of TCP and 2,4,5-T
which are contaminated with the most toxic dioxin isomer,
2,3,7,8-tetrachlorodibenzo-p-dioxin (2,3 ,1,8-TCDD), but pathologic
review of their tissue indicates that only two are cases of soft
tissue sarcoma. Three additional individuals had been described by
physicians as case reports. They are confirmed as cases of soft
tissue sarcoma, but we did not find any record of assignment to these
production departments. One person worked briefly in the production
of pentachlorophenol, which is contaminated with other isomers of.
i
'
dioxin. We suggest that identification of cases of STS through
either .death certificates alone or through pathology records can lead
to errors of ascertainment. We reassert that further research,
particularly the completion of studies by the National Institute for
Occupational Safety and Health based upon approximately 6,000 U.S.
workers, is necessary to confirm or refute the association first
suggested in the Swedish studies.

�202 Fingerhut et al.

REFERENCES
1. Hardell, L. and Sandstrom, A.

Case-Control Study:

Soft-Tissue

Sarcomas and Exposure to Phenoxyacetic Acids or Chlorophenols.
British Journal of Cancer 1979; 39:711-717.
2. Eriksson, FT., Berg, N., Hardell, L., Moller, T. and
Alexson, o.

Soft-Tissue Sarcomas and Exposure to Chemical

Substances:

A Case-Referent Study.

British Journal of

Industrial Medicine 1981; 38:27-33.
3. Honchar, P.A., and Halperin, W.E. 2,4 ,5-Trichloropl^enol and £oft
Tissue Sarcoma. Lancet 1981; i:268-269.
4. Suit, H.D. Sarcoma of Soft Tissue.
Clinicians 1978; 28:284-295.
5. Russell, W.o. et al.

CA-A Cancer Journal for-

A Clinical and Pathological Staging System

for Soft Tissue Sarcomas.

Cancer 1977; 40:1562-1570.

6. Zack, J.A. and Suskind, R.S. The Mortality Experience of Workers
Exposed to Tetrachlorodibenzodioxin in a Trichlorophenol
Process,

journal of Occupational Medicine 1980; 22:11-14.

7. ott, M.G., Holder, B.B. and Olson, R.D.

A Mortality Analysis of

Employees Engaged in the Manufacture of
2,4,5-Trichlorophenoxyacetic Acid. Journal of Occupational
Medicine 1980; 22:47-50.
8. Cook, R.R., Townsend, J.C. and Ott, M.G. Mortality Experience
of Employees Exposed to 2,3,7,8-Tetrachlorodibenzo-p-dioxin
(TCDD).

Journal of Occupational Medicine 1980; 22:530-532.

9. Zack., J.A. and Gaffey, W.R. A Mortality Study of Workers
Employed at The Monsanto Company plant in Nitro, West Virginia.
Environmental Science Research 1983; 26:575-591.

�Review of Reported Soft Tissue Sarcoma Cases

10. Cook, R.R.

Dioxin, Chloracne and Soft Tissue Sarcoma.

203

Lancet

1981; 1:618-619.
11. Moses, M. and Selikoff, I.J.

Soft Tissue Sarcomas, Phenoxy

Herbicides and Chlorinated Phenols.

Lancet 1981; i:1370.

12. Johnson, P.E., Kugler, N.A. and Brown, s.M.
and Chlorinated Phenols.

Soft Tissue Sarcomas

Lancet 1981; i:40.

13. Percy, C., Stanek, E. and Gloeckler, L.

Accuracy of Cancer Death

Certificates and Its Effect on Cancer Mortality Statistics.
American Journal of Public Health 1981; 71:242-250'.
14. World Health Organization, Manual of the International Statistical
_ .
„

__

_ B ^ « _ ^ «
_ ~ w ^ _ B v

w ^
_ ^

___

—.^^—^^^ff^—i-

Classification of Diseases, Injuries and Causes of Death (1975)
Ninth Revision.

Geneva, 1977.

15. Summarized from Exhibit 1299, prepared by L. Hardell for the
U.S. Environmental Protection Agency, October 24, 1979.
16. Smith, A.H. et al.

Do Agricultural Chemicals Cause Soft Tissue

Sarcoma?

initial Findings of a Case Control Study in New

Zealand.

Community Health Studies 1982; 6:114-119.

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Author

Brown, Marry D.

Corporate Author
Final

Report/Article TltlB

Report: Herbicide (2,4-D) Applicator Exposure
Measurements

Journal/Book Title
000

Year

°

Month/Day
Color

n

Number of Images

48

DBSCrlptOn Notes

Supported by USDA Agreement No. USDA-TPSU-RU-0191 and New Jersey Agricultural Experiment Station
Project No. NJ04502.

Tuesday, May 15, 2001

Page 1466 of 1514

�FINAL REPORT
HERBICIDE (2,4-D) APPLICATOR EXPOSURE MEASUREMENTS

Harry D. Brown
106 Administration Bldg.
New Jersey Agricultural Experiment Station
Cook College, Rutgers University
New Brunswick, N.J. 08903

Supported by USDA Agreement No. USDA-TPSU-RU-0-191 and New Jersey Agricul
tural Experiment Station Project No. NJ04502.

�INTRODUCTION

The phenoxy herbicides have been used to control broad-leafed weeds in
crops, water sources, forests, pastures, range lands, gardens, lawns, urban
and industrial sites. Because of the efficiency, economy and safety, the
phenoxy herbicides, especially 2,4,5-trichlorophenoxyacetic acid (2,4,5-T)
and 2,4-dichlorophenoxyacetic acid (2,4-D), besides other herbicides, remain
essential for agricultural and other uses (Diaz-Colon and Bovey, 1976). Use
of 2,4,5-T and 2,4-D on a large scale to defoliate vegetation has resulted in
controversy about the fate of the chemicals. Many of the hazardous properties
ascribed to 2,4,5-T are to a lesser extent shared by 2,4-D. As a result, a
number of papers dealing with the fate in the environment, toxicological effects on living organisms (Diaz-Colon and Bovey, 1976; Sauerhoff et al., 1977;
Piper et al. , 1973) have been published. Cooper (1974) compared 2,4,5,-T and
2,4-D. He has reported that commercial samples of 2,4-D in mice were teratogenic and embryotoxic. Increasing controversy about their safe use has raised
doubt about their utility in achieving vegetation management objectives.
A Dow Chemical report on Forestry Applicators exposure to 2,4-D has recently been published (Levy, 1980). Nonetheless, in total, only meager information regarding human (e.g. gardeners, small farmers, etc.) exposure to 2,4-D
is available. This study reports an investigation conducted under conditions
characteristic of actual use pattern to determine the quantity of body surface
contact of applicator with the commercial 2,4-D formulation and the quantity
of the chemical measurable in serum and urine.
MATERIALS AND METHODS

Applicator
Eleven healthy young male (ages 19 to 31 years) human volunteers were selected and were examined by the University physician prior to the work. Each
subject was examined for blood pressure, pulse rate and body temperature on
the day of work, both before and after the work period, and similar examinations
were made every morning for the next three days (Table 1). Sterile gauze pads
(size 0.67 sq. ft.) were attached on the back and chest of each volunteer. A
paper cap (area 0.44 sq. ft.) was used to cover the head.
Location
The study was carried out either on the campus of Rutgers University or
near the campus in New Brunswick, New Jersey during the period from May, 1981
to August, 1981. The location was covered with weeds and grass. Each area was
roughly between one-half to one acre.
Spray Material and Equipment
The spraying material consisted of DMA-4 concentrate (obtained as a gift
from Dow Chemical, U.S.A.) which contained 3.8 Ib acid equivalent/gal 2,4-D.
The herbicide was mixed with tap water prior to use and the resulting mixture
was applied at a rate of approximately 1 gal/30 min. by a hand sprayer held at
hip level. A DuPont air sampler was attached to the applicator and was kept
running during the spraying operation. The areas were covered by spraying
six gallons in about three hours as per label instruction.

�Weather Conditions
Weather conditions during this study were moderate, temperature ranging
between 65° to 78° F with humidity from 50 to 89%. Wind was fairly calm
throughout this study except on one occasion, when it gusted to 10 miles per
hour.
Sample Collection for Analysis
• To ascertain body surface exposure, gauze pads and caps were collected
immediately after the work and washed in methanol. Air filter absorbents were
also washed in methanol. Residue separated by methanol was evaporated to dryness and then treated with 15% BF, in methanol. Finally, it was extracted
with n-hexane (Yip, 1975).
Blood samples were drawn before the work and at the end of the day's work.
Three more blood samples were drawn on the following three mornings. Overnight
pooled urine samples were collected before the work and the day's collections
were made during and/or after the treatment. Then the pooled urine samples
were collected twice a day for the next 4 to 7 days. Blood sera and urine samples were treated, extracted and analyzed by the method of Sauerhoff et al.5^
(1977).
Vegetation samples and soil samples from the treated area were collected
before the treatment and then once every 24 hours for the next 4 days after the
treatment. Samples were treated and analyzed by the methods of Davidonis et al.
(1980) and Olson et al. (1978).
Analytical Procedures
2,4-D residue extracted in n-hexane was analyzed on a pas chromatograph
(Tracer Model No. 560, equipped with electron capture detector and a six foot
glass column packed with 3% OV-101 on 80/100 supelcoport).
Clinical determinations on blood serum and urine were made through the
automated procedures of a commercial diagnostic laboratory.
RESULTS AND DISCUSSION

The various data are summarized in tables 1-13 and figures 1-22. At the
end of a day's work, an applicator had an average 2,4-D residue of 49.39 yg/sq.
ft. on the back, 52.41 yg on the head. The average value of 2,4-D residue on
vegetation in the exposed areas was 27.93 yg/g of tissue at the end of the
working day (i.e. first day). The residue fell to 8.57 yg/g tissue after four
days. On the other hand, the average soil residue value was 2.68 yg/g soil at
the end of the first working day, which Increased
to 5v12*yg/soil (87.6%)
on the fourth day.
The average base level for phenolic compounds in serum was 70.7 ng/ml at
zero level exposure. Immediately after the day's work, the value went up to
165.3 ng/ml and again went up to 267.7 ng/ml on the second. The difference
between the base level and the measured level we take to be a specific measurement of the test material, 2,4-D. The value came down to 123.7 ng/ml on the
third day. The average amount of phenolics ranged from 3.45 yg (zero level
exposure) to 7.85 yg (fifth day) for the 12 hours of pooled urine.
*Appendix A is a more extensive discussion of methodology.

�Some changes were noticed in clinical analysis made on blood aerum and
urine.
Analysis of 2,4-D retained by the air monitor filter revealed detectable
residue. The amount of air drawn through the filter was calculated to be 56.6
to 84.96 liters, and the calculated 2,4~D residue was 43.1 to 60.1 parts per
trillion.
Results of this study indicate that there was a considerable amount of
2,4-D in the air, on vegetation and soil surface of the treated areas. An
appreciable quantity of 2,4-D also landed on the body surface, All serum and
urine samples showed measurable 2,4-D residue.
Statistical Analysis *
The clinical residue and weather data were critically scrutinized by both
linear models and regression models. The primary emphasis of the analysis was
to identify the parameters that recorded any significant change. This was accomplished by subtracting the baseling value from the observed value and then
dividing it by the baseline. Analysis of the resulting values revealed highly
significant (a=0.01) changes in the serum creatinine and total protein levels,
and significant ( H . 5 change in the urine specific gravity. It was also seen
o)0)
that the total protein and BUN/creatinine were positively correlated with the
residue on the chest of the volunteers and with their height. When the peak
residue in the body fluids was related with the external factors, it was seen
that the serum residue was positively correlated with the 2,4-D concentration
in the air and the amount of chemical that had landed on the head and back.
Likewise, the urine residue was positively correlated with the air volume and
the height of the volunteers. Precipitation (rainfall-high humidity) was negatively correlated with the serum residue, presumably due to decreased chances
of vaporization and subsequent inhalation.
*Analysis done by Dr. Robert Trout, Statistician for the NJAES.
CONCLUSION
Our observations, therefore, indicate that during normal working conditions, an appreciable amount of 2,4-D can enter into the applicator's body
through inhalation and/or through body surface (dermal) absorption. Lengthy
retention times have been observed in some subjects (Table 6). These findings
are consonant with the report of Levy et al. (1980) for foresters. Clinical
physiology data obtained here are consistent with long retention times for
this chemical. We surmise, but have no specific evidence, that the 2,4-D
molecule or some portion (phenolic), binds to serum protein and is eliminated
as a function of the turnover of the protein molecules. Other than the clinical
(chemical) changes noted above, we have seen no pronounced adverse effect of
2,4-D exposure.
REFERENCES

1. Sauerhoff, M.W., Braun, W.H., Blau, G.E. and Gehring, P.J. (1977). The Fate
of 2,4-Dichlorophenoxyacetic Acid (2,4-D) Following Oral Administration to
Man. Toxicology 8:3-11.
2. Piper, W.N., Rose, J.Q., Lang, M.L. and Gehring, P.J. (1973). The Fate of
2,4,5-Trichlorophenoxyacetic Acid (2,4,5-T) Following Oral Administration
to Rats and Dogs. Toxicol. Appl. Pharmacol. 26:339-351.

�3. Levy, T.L. (1980). Determination of 2,4-D Exposure Received by Forestry
Applicators. Dow Chemical, U.S.A. Report. October, 1980.
4. Diaz-Colon, J.D. and Bovey, R.W. (1976). Selected bibliography of the
phenoxy herbicides. I. Fate in the Environment. MP 1303. Texas Agric.
Exp. Stn., College Station.
5. Cooper, P. (1974). Food Cosmet. Toxicol. 12:418-421.
6. Davidonis, G.H., Hamilton, R.H. and Mumma, R.O. ( 9 0 . Comparative Meta18)
bolism of 2,4-Dichlorophenoxyacetic Acid in Cotyledon and Leaf Callus from
Two Varieties of Soybean. Plant Physiol. 65:94-97.
7. Olson, B.A., Sneath, T.C. and Jain, N.C. ( 9 8 . Rapid Simple Procedure
17)
for the Simultaneous Gas Chromatographic Analysis of Four Chlorophenoxy
Herbicides in Water and Soil Samples. J. Agric. Fd. Chem. 26:640.
8. Yip, G. (1975). Analysis for Herbicides and Metabolites. J. Chromatographic Sciences 13:225-230.

�CLINICAL XXX DATA

�Table 1

PHYSICAL EXAMINATION

Temp ( F
°)

Blood Pressure

Pulse Rate

Applicators
0

X

1

2

3

0

X

1

2

3

0

X

1

2

3

No. 1

98.0

98.4 97.8 98.4 98.4

128/74

114/70

120/78

120/60

120/78

76

60

80

78

72

No. 2

97.6

98.0 98.0 98.0 97.8

110/78

118/78

110/78

110/72

120/80

60

72

80

68

64

No. 3

97.4

97.6 97.8 97.0 97.8

112/82

120/70

110/74

118/6?.

120/76

60

72

60

61

64

No. 4

98.2

99.4 97.4 98.0 98.0

90/60

100/68

100/64

96/68

92/60

80

100

76

76

84

No. 5

97.6

98.8 98.0 98.2 98.2

112/74

124/80

120/82

120/80

110/80

72

84

84

80

84

No. 6

97.0

98.6 97.2 97.0 97.4

120/80

110/74

108/78

112/78 112/74

84

88

96

92

100

No. 7

97.4

98.4 97.0 97.0 98.2

104/64

100/60

110/64

120/64

110/70

78

78

80

78

80

No. 8

98.4

98.4 98.6 97.8 98.0

140/76

120/80

112/70

130/68

130/76

80

64

96

80

68

No. 9

98.6

98.4 97.0 98.0 97.2

110/70

110/70

110/80

120/80

120/74

60

60

68

80

64

No. 10

97.8

98.0 97.4 98.2 97.8

104/60

100/70

108/60

112/70

102/60

84

68

84

88

88

No. 11

97.4

9 . 97.2 97.2 97.0
86

120/68

110/70

110/80

112/70

110/76

80

80

80

68

80

Legend
0 = Pretreatment
X = Posttreatment
1-3 = Days after treatment

�Table 2

Detection of 2,4-D Residue
from Gauge Patch (= Body Surface)

yg/sq. ft. 1
Applicator
No.

Head

Chest

Back

1

8.55

7.81

5.10

2

14.06

11.68

10.60

3

7.06

3.37

3.77

4

222.20

171.50

99.63

5

34.22

94.53

41.16

6

141.80

111.50

74.23

7

76.16

68.39

46.64

8

16.99

13.56

11.86

9

19.12

14.58

10.29

10

18.55

31.46

4.46

11

17.80

14.95

18.63

�Table 3
2,*i-D Residue on Vegetation

Treated
Area

2,4-D yg/g Vegetation
0

X

X+1

X+2

X+3

1

0.59

28.85

16.15

16.67

20.16

2

14.74

29.60

22. A3

4.32

2.13

3

00.00

25.35

7.70

1.92

3.44

2.47

X+4

Amount of 2,^-D on Soil Surface

Treated
Area

2,4-D -fjg/g Soil
X+1

X+2

X+3

«*

3.70

1.90

2.80

7.30

-

3.58

4.21

0.72

1.59

7.25

-

0.00

0.13

0.15

0.27

0.80

0.93

0

1

1.24

2
3

X
X
X
X

X

0
X
1
2
3
1»

=
=
=
=
=
*s

Pretreatment
Posttreatment
1 day after treatment
2 days after treatment
3 days after treatment
^ days after treatment

�Table 4
Amount of 2,4-D Residue and Endogenous Phenolic Compounds in Serum

Applicator
No.

1
2

3
k
5
6
7
8
9
10
11

0

2,4-D Residue (ng/ml )
X+1
X

75.1

826.6

114.4

170.1
131.5
112.8

112.3
54.0
93.5
157.8
56.3

221.9

208.3

123.5

44.5
3.5
29.0
19.0

224.4

00.0

00.0

443.2
538.3

19.1
50.2
7.8

496.9
862.9
119.3
55.7
41.8
93.3
55.6

X+2

311.0
250.1
74.6

92.4
169.9
94.3
194.7
43.6
43.0
58.8
27.9

X+3 .

112.3
102.3

479.6
84.2
245.1

674.6
178.6
83.4
25.7
36.3
114.8

•

0 = Pretreatment
X - Posttreatment
X+1 «= 1 day after treatment
X+2 = 2 days after treatment
X+3 = 3 days after treatment

Note: Because phenoxy and other phenolic compounds have liquid chromatographic
migrations similar to that of 2,4-D, there is a variation in the base for specific measurement of the test compound.

�\0

Table 5
Amount of 2,4-D in Serum

Applicator
No.

X

i

X+l

2,4-D (ng/rol)
X+2

714.3

198.7

0

196.1

48.3

2

60.4

116.1

3

128.4

38.0

4

285.4

5

X+3

482.0

—
440.6
654.6

6

—
—
113.6

386.1

—
188.8
466.3

7

179.9

74.8

—
150.2

8

15.6

52.2

40.1

9

21.2

12.8

14.0

10

74.3

39.8

—
17.3

11

55.6

27.9

114.8

Legend
X =
X+l
X+2
X+3

Posttreatment
= 1 day after treatment
= 2 days after treatment
= 3 days after treatment

134.1
79.9

�Table 6

Total Amount of 2,4-D and Endogenous ^henolic Comnounds Excreted in the Urine
yg 2,4-D Excreted per 12 hours

Applicator
No.

0

1

12

2k

36

48

60

1

3.73

7.12

2.38

2.58

6.49

5.70

2.93

21.20

28.96 -

-

-

-

2

3.22

7.17

1.22

2.85

6.00

5.75

4.46

6.44

-

-

-

3

2.85

4.25

10.00

8.87

1.75

0.60

1.33 10.79

1.09 4.07 -

-

-

-

4

8.11

15.44

21.38

7.66

9.56

5

0.32

1.31

1.79

1.60

1.31

6

9.95

7

9.91

8

0.00

0.11

9
10

72

84

96

108

120

132

144

156

-

-

-

-

-

-

30.55 24.87 13.09

6.23

-

-

-

-

2.62

3.32

2.27

7.39

-

-

-

-

-

I*. 56 15.62

5.04 23.39 13.87

6.28

8.46 13.16

10.81 15.25

2.73

3.12

2.89

0.91

5.00

8.84 -

-

-

-

-

0.57

2.77

1.34

3.46

2.84

3.08

5.30

1.97

1.49

2.68

0.00

0.00

0.00

0.00

0.75 0,00

0.85

2.46

8.28

6.57

1.46

4.09

1.42

2.10

3.73

2.21

4,31

4.47

0.00

1.9* 1.73

1.63

2.83

2.21

2.73

8.48

4.35 -

0 • Pretreatment
1 • Posttreatment

-

-

-

-

-

-

-

-

-

�Table 7
HEMATOLOGY

WBC x 103

liters

0

X

1

RBC x 106

RGB (g/dl)

2

3

0

X

1

2

3

HCT (%)

0

X

1

2

3

0

X

I

2

3

3. 1

6.0

7.1 6.3

7.0

5.5

4.78

j,
4.68

j,
4761

j,
4*50

j.
4.43

15.5

15.1

14.8

14.6

14.6

44.4

43.7

44.8

441.6

441.5

3. 2

5.7

6.8

5.9

5.2

5.2

4.99

5.06

5.15

4.85

4.89

15.9

15.6

16.2

15.0

15.3

43.2

43.8

44.7

42.0

42.4

3. 3

6.7

6.1

5.2

5.6

5.0

4*69

4*64

4*63

4.71

4*65

14.9

14.8

14.5

14.6

14.9

41*2

41*2

41*2

40*9

40*6

!

3. 4

6.5

7.6

6.6

6.7

6.5

5.72

5.76

5.75

5.85

5.50

15.5

15.6

15.3

16.8

14.8

43.9

44.0

43.5

44.6

41*8

!

3. 5

6.3

6.5

5.9

7.0

6.2

5.34

5.22

5.23

5.56

5.27

15.9

15.7

15.7

16.8

15.6

44.6

44.1

44.7

46.5

43.6

D.

6

6.7

7.8

6.7

8.4

6.9

5.39

5.23

5.46

5.43

5.03

16.8

16.9

17.1

17.8

16.2

47.6

46.3

48.5

47.8

44.9

3. 7

6.6

8.1

9.8

8.2

7.9

5.45

5.20

5.42

5.33

5.29

16.5

15.9

16.3

17.0

16.3

48.0

47.3

46.9

46.0

o. 8

8.3 8.3 6.2

6.3

6.1

4.97

4.75

4.99

4.99

5.04

8.1

7.8

5.21

4.76

5.07

5.42

5.14

15.8
413.2

44.1

6.0

15.7
413.9

42.6

6.2

15.7
413.2

42.8

6.1

15.2
412.4

42.9

o. 9

15.8
413.3

44.9
441.0

37*4

40*3

38.1

o. 10

7.8

7.5

8.1

7.6

7.7

4.97

5.06

5.33

5.14

16.4

17.1

16.3

4.8

6.0

6.0

5.9

4.99

4.81

4.95

5.11

14.8

14.4

14.9

14.9

45.0 43.0 45.0
4 - 4 - 4 41.2 37.8 39.3

47.1
4 40.7

45.9

5.0

15.8
•l
13*5

16.5

0.

4.80
44.54

11

Legend
0 = Pretreatment
X = Posttreatment
1-3 = Days after treatment

J.

3877

J.

35*3

X

4,

4-

42.0

J

�Table 7 (cont.)
HEMATOLOGY

MCV ( 3
y)

MCH (yyg)

MCHC (%)

Platelet Estimate

Applicators
0

X

1

2

3

No. 1

93

93

97

92

94

32J4

32^0

No. 2

87

87

87

87

87

3lt7

30.8 3lts

No. 3

88

89

89

87

87

31J8

3ll8

3ll3

No. 4

7*4

7*4

7*3

7*4

7*6

27.0

26t9

26*6

No. 5

81

81

82

81

83

29.6

No. 6

85

85

86

85

89

3l7l

32.2 31.1 32.6

No. 7

85

83

84

85

87

30.2

30.4 40.0 3lt?

No. 8

87

87

87

86

87

30.9

No. 9

7*5

7*5

7*5

7*5

7*5

24*8

No. 10

91

90

90

89

90

No. 11

83

84

83

83

83

A

0
A

X = Posttreatment
1-3 » Days after treatment

A.

2

3

A.

0

X

1

2

3

0

X

1

2

3

A.

34.7

34.3 32.9 34.9 35.1

N

N

N

N

N

31.0 31^2

36.6

35.5 36?1

N

N

N

N

N

30.8 32lO

36.0

35.9 35.1 35.4 36;6

N

N

N

N

N

28.5 27.6

35.2

35.2 34.9 37t4 35.8

N

N

N

N

N

30.0 29.7 30.1 30.3

35.4

35.5 35.0 35.8 36.2

N

N

N

N

N

35.2

36J 3

Dec N

N

N

N

31^4

34.2

35.2 34.3 35.9 35.7

N

N

N

N

3ltl

30.4 30.6 30.1

36.3

36t4

Dec N

N

N

N

25*3

25t2

33.9

34.6 34.6 33.9 34.0

N

N

N

N

N

3itg sitg site 3it2 so. 8

35.7

36.1 35.8 35.6 34.9

N

N

N

N

N

28.8

35.2

35.1 36.0 3etl 35.0

N

N

N

N

N

A

0 = Pretreatment

A,

1

32J9

A

Legend

X

A

32?0

32J3

A

A

35.6 36.0

A

A

24*9

A

A

A

33.0

24*9

28.9 29.1 29.2 28.3

•f

A

34.9 36l9

A

36^4

35.9 3ets 35.2

N

�Table 8
BLOOD CHEMISTRY

Glucose (mg/dl)

BUN (mg/dl)

Creatinine (mg/dl)

Uric Acid (mg/dl)

Applicators
0

X

1

2

3

0

X

1

2

3

No. 1

93

88

79

81

76

12

12

13

11

No. 2

78

83

63* 80

75

18

17

17

19

No. 3

93

94

92

95

87

21

21

22

No. 4

87

112+ 86

92

86

12

14

No. 5

197+ 149+ 166+ 163+ 149+ 13

No. 6

111+

No. 7

81

0

X

1

2

3

0

X

1

2

3

11

0.9

1.0

0.9

0.8

0.8

6.4

6.5

6.1

4.9

5.2

16

1.2

1.3

1.2

1.2

1.0

6.1

6.3

6.6

6.3

5.5

27+ 26+

1.0

1.0

1.0

1.1

0.9

3.8

4.5

3.9

4.8

4.1

12

13

15

1.1

1.2

1.2

1.1

1.1

7.6

7.9

7.5

8.4+ 8.1+

14

12

13

15

1.0

1.0

1.0

0.9

0.9

6.6

7.7

6.6

7.0

6.9

95

91

92

18

19

18

16

18

1.2

1.3

1.2

1.1

1.2

6.3

6.6

6.4

5.8

6.8

137+ 76

88

91

14

15

16

18

15

1.2

1.5+ 1.2

1.1

1.2

7.0

7.1

7.1

7.2

7.3

107

15

15

17

13

13

1.1

1.0

1.0

1.0

0.9

5.6

5.3

5.1

5.4

4.4

81

No. 8

122+ 102

127+ 81

No. 9

118+

90

107

79 122+

17

16

15

17

17

1.1

1.0

1.2

1.0

0.8

5.7

5.8

5.4

6.0

4.9

No. 10

101

84

134+ 99 140+

15

15

16

15

14

1.0

1.1

1.2

1.1

1.0

6.3

7.0

7.3

6.9

5.9

No. 11

148+ 124+ 112+ 98 111+

20

19

17

14

12

1.5+ 1.0

1.0

1.0

0.9

7.3

5.1

4.8

5.0

4.7

Legend
0 = Pretreatment
X = Posttreatment
1-3 = Days after treatment

�Table 8 (cont.)

BLOOD CHEMISTRY

A/G Ratio

Globulin (g/dl)

Calcium4"1" (mg/dl)

Bun/Great

Applicators

1

0

1

0

0

No. 1

2.7

2.6

2.6

2.3

2.3

1.7

1.8

1.8

1.5

2.0

13.3

12.0

14.6

14.5

14.2

4.3

4.3

4.3

4.5

4.2

No. 2

2.5

2.5

2.4

2.5

2.2

1.9

1.9

1.9

1.8

2.1

15.0

13.1

14.2

15.6

16.2

4.3

4.2

4.1

4.1

4.2

No. 3

2.4

2.4

2.3

2.4

2.2

2.1

2.0

2.2

2.0

2.2

21.0

21.0

22.0

24.5

28.5

4.4

4.5

4.5

4.3

4.5

No. 4

2.5

2.5

2.6

2.3

2.2

1.6

1.7

1.6

1.8

1.9

10.5

11.2

9.7

12.0

14.3

4.4

4.4

4.3

4.4

4.3

No. 5

3.2

3.5

3.4

3.2

2.8

1.4

1.3

1.3

1.4

1.7

12.4

13.5

12.8

13.6

16.2

3.8

3.8

3.9

4.0

4.0

No. 6

3.0

2.8

2.9

2.6

2.2

1.6

1.7

1.6

1.8

2.1

14.7

14.1

14.2

14.2

14.5

4.2

4.5

4.3

4.4

4.4

No. 7

3.1

3.1

2.9

2.7

2.5

1.6

1.4

1.5

1.6

1.8

11.7

10.1

13.6

15.7

12.7

4.2

4.2

4.3

4.4

4.3

No. 8

2.5

2.6

2.4

2.4

2.6

1.9

1.4

1.9

2.0

1.7

14.7

15.2

16.9

13.9

15.4

4.3

4.3

4.2

4.4

4.3

No. 9

2.8

2.7

2.5

2.7

2.5

1.6

1.7

1.8

1.7

1.7

15.9

15.6

12.6

17.1 "20.4

4.2

4.1

4.3

4.3

4.2

No. 10

2.8

2.7

2.8

2.5

2.6

1.6

1.8

1.8

2.0

1.8

16.0

13.3

13.4

13.3

14.1

4.2

4.2 4.2

4.4

4.2

No. 11

2.5

2.7

2.8

2.7

3.0

1.9

1.7

1.6

1.7

1.5

13.3

18.3

17.3

14.2

13.7

4.3

4.2

4.3

4.3

Legend
0 = Pretreatment
X = Posttreatment
1-3 = Days after treatment

4.1

�Table 8 (cont.)
BLOOD CHEMISTRY

Applicators

LDH (IU/1)

SCOT (IU/1) '

Alk. Phos. ( U 1
I/)

GGT (IU/1)

T. Bill, (mg/dl)

0

X

1

2

3

0

X

1

2

3

21

160

175

201

140

164

23

23

22

20

22

23

209

224

2$7

2$1

235

16

16

15

25

24

26

151

161

157

177

172

10

10

11

16

16

15

136

152

157

144

164

24

20

23

20

29

28

154

167

153

150

148

70

26

23

23

36

23

166

153

176

146

114

117

28

33

23

26

24

160

148

152

4*4

46

45

31

32

31

20

20

152

154

6*4

80

67

68

32

40

34

33

40

183

96

111

103

99

41

32

34

23

26

58

58

31

32

32

22

24

0

X

1

2

3

0

X

1

2

3

No. 1

42

40

43

45

39

22

22

20

22

No. 2

79

79

80

82

79

25

26

24

No. 3

69

61

71

79

79

22

24

No. 4

64

62

63

63

63

11

No. 5

90

81

88

87

87

No. 6

75

68

76

75

No. 7

116

111

115

No. 8

4*6

5*1

No. 9

5*2

No. 10

6*9

No. 11

116

5*8

6*1

Legend
0 = Pretreatment
X = Posttreatment
1-3 = Days after treatment

!

0

X

1

2

3

20

0.6

0.7

0.4

0.3

0.8

15

15

0.7

0.7 . . 0.7
08

0.6

11

12

12

0.4

0.6

0.5

0.7

0.4

24

24

23

21

0.5

0.5

0.7

0.6

0.4

36

36

36

39

38

0.2

0.2

0.5

0.5

0.5

145

16

15

16

14

14

0.9

0.8

1.0

its

itl

136

129

15

17

14

14

14

0.6

0.9

0.3

0.2

0.2

157

151

154

13

14

13

17

15

0.9

0.7

0.9

0.8

0.5

201

191

2$8

197

10

14

21

18

17

itl

0.8

0.9

0.7

0.9

195

179

187

169

165

16

10

11

14

12

itl

0.8

0.9

0.9

0.8

213

189

202

191

159

10

10

10

13

13

0.5

0.6

0.6

itl

1?3

�Table 8 (cont.)
BLOOD CHEMISTRY

Cholesterol (mg/dl)

T. Protein (g/dl)

Calcium (mg/dl)

Albumin (g/dl)

Applicators
0

X

1

2

3

0

X

1

2

3

0

X

No. 1

179

173

177

1(1)8

169

9.9

9.8

9.7

9.1

9.4

7.3

7.2

No. 2

223 221

215 219

175

9.8

9.6

9.3

9.5

9.3

7.2

7.2 7.0 7.2 6.7

4.7

No. 3

its

its

151

lt7

10.2

10.4 10.3 10.0 10.2

7.4

7.3 7.3

5.0 4.9 5.0 4.9 4.9

No:. 4

170 180

170 172

172

.9.6

9.7

9.4

9.7

9.2

6.7

6.8 6.7 6.6 6.4

4.1

No. 5

202 222 218 218 208

9.0

9.4

9.5

9.5

9.4

7.7

8^2 7.9

4.4 4.7

No. 6

210

208 209 208

192

10.0

9.7

7.7

7.6 7.5 7.3 6.9

4.7 4.8 4.6 4.7 4.7

No. 7

154

152

its

it?

150

10.3

9.9

9.8

9.6

stl

7.4 7.2

7.0 6.8

5to 4.4 4.3 4.3 4.4

No. 8

165

169

170

180

172

9.7

9.9

9.7 10.1

9.7

7.1

7.3

7.2 7.1

4.6

No. 9

153 160

163 163

itg

9.7

9.5

9.6

10.0

9.4

7.3

7.3 7.0 7.5 6.4

4.5 4.6 4.4 4.8 4.4

No. 10

158

168

170

168

155

9.6

10.0 10.0 10.5

9.7

7.3

7.6

7.6

7.5

7.3

4.5

No. 11

161

lt9

160

160

157

9.9

9.9

7.3

7.1

7.3 7.3

7.4

4.8 4.5 4.5 4.6 4.4

its

Legend
0 = Pretreatment
X = Posttreatment
1-3 = Days after treatment

10.6 10.2 10.1

9.6

9.5

9.9

9.9

1

2

7.1 ste

7.1

3
6.7

7.4 7.1

7.8 7.6

0

X

1

2

4.6 4.6 4.6 3t3

3
4.5

4.7 4.6 4.7 4.6

4.3 4.1 4.3 4.2
4.5 4.6 4.7

4.8 4.7 4.8 4.5

4.9 4.9 4.9

4.7

�Table 9
ACID PHOSPHATASE AND HAPTOGLOBIN

HAPTOGLOBIN (mg/dl)

ACID PHOSPHATASE (IU/1)

Applicators

0

X

1

2

3

1

2

3

4

5

No. 1

0.2 0.3

0.0

0.0

0.0

22

17

20

21

25

No. 2

0.3 0.3 0.4

0.0

0.0

24

26

24

25

18

No. 3

0.2 0.1

0.1

0.0

0.0

71

89

87

82

85

No. 4

0.0 0.0 0.0

0.0

0.04

92

113

111

76

108

No. 5

0.0 0.0 0.0

0.0

Missing

109

105

108

99

122

No. 6

0.0 0.0 0.0

0.02

0.12

189

197

204

174

238

No. 7

0.0 0.0 0.0

0.0

0.16

87

95

85

118

134

No. 8

0.2 0.0 0.0 Missing Missing

79

157

81

91

72

No. 9

0.0 0.0 0.0 Missing

0.2

90

90

91

165

80

No. 10

0.0 0.0 0.0 Missing

0.1

95

154

173

86

161

No. 11

0.0 0.0 0.0 Missing

0.6

159

114

118

118

128

Legend
0 «= Pretreatment
X = Posttreatment
1-3 «= Days after treatment

�\&lt;\
URINALYSIS

Table 10

pH

Applicators

0

X

la

Ib

2a

2b

3a

3b

No. 1

5.0

6.0

5.0

8.0

6.0

8.0

5.0

5.0 6.0

No. 2

6.0

6.0

5.0

6.0

6.0

6.0

6.0

6.0

5.0

No. 3

5.0

8.0

6.0

6.0

8.0

5.0

7.0

5.0

6.0

No. 4

5.0

5.0

5.0

5.0

6.0

5.0

7.0

5.0

6.0

No. 5

7.0

6.0

6.0

6.0

7.0

6.0

6.0

6.0

5.0

No. 6

5.0 6.0

6.0

6.0

6.0

8.0

6.0

6.0

6.0

No. 7

7.0

6.0

6.0

5.0

7.0

5.0

5.0

6.0

7.0

No. 8

6.0

6.0

6.0

5.0

5.0

6.0

6.0

7.0

5.0

7.0

5.0

8.0

No. 9

6.0

6.0

6.0

5.0

5.0

5.0

6.0

6.0

6.0

6.0

6.0

6.0

No. 10

6.0

6.0

6.0

5.0

6.0

5.0

5.0

5.0

6.0

No. 11

6.0

6.0

6.0

6.0

5.0

6.0

6.0

6.0

5.0

Legend
0 = Pretreatment
X « Posttreatment
1-7 = Days after treatment
a « 7:00 a.m. collection
b « 7:00 p.m. collection

4a

4b

5a

5b

6a

6b

7a

5.0

6.0

6.0

6.0

5.0

6.0

—

�Table 11

\ppll:ators
So. 1

Sto. 2
So. 3
No. 4
No. 5
No. 6
No. 7
No. 8
No. 9
No. 10
No. 11

0

Amber
Clear
Amber
Clear
Amber
Clear
Straw
Cloudy
Straw
Clear
Straw
Cloudy
Straw
Clear
Yellow
SI. cloudy
Yellow
Clear
Yellow
Clear
Yellow
Cloudy

URINALYSIS
COLOR

X

la

Ib

Yellow
Clear
Amber
Turbid
Yellow
Turbid
Straw
Clear
Straw
Cloudy
Straw
Cloudy
Straw
Clear
Yellow
Clear
Amber
Clear
Yellow
Clear
Yellow
Clear

Yellow
Cloudy
Amber
Turbid
Amber
Clear
Straw
Clear
Amber
Clear

Yellow
Clear
Yellow
Cloudy
Yellow
Clear
Straw
Cloudy
Straw
Cloudy
Straw
Cloudy
Straw
Clear
Straw
Hazy
Straw
Hazy
Straw
Clear
Straw
Clear

Straw
Clear
Yellow
Hazy
Yellow
Clear
Yellow
Clear
Yellow
Cloudy
Yellow
Clear

Legend
0 = Pretreatment
X = Posttreatment

2a

2b

Yellow Yellow
Clear
Clear
Yellow Yellow
Cloudy Cloudy
Yellow Yellow
Clear
Clear
Straw Yellow
Clear
Cloudy
Yellow Yellow
Cloudy
Hazy
Straw Yellow
Cloudy
Hazy
Straw Yellow
Clear
Clear
Straw Yellow
Cloudy
Hazy
Straw Yellow
Cloudy
Hazy
Straw
Straw
Clear
Clear
Straw
Yellow
Clear
Clear

1-7 = Days after treatment
a = 7:00 a.m. collection

3a

3b

Yellow
Clear
Yellow
Clear
Yellow
Clear
Yellow
Clear
Yellow
Clear
Yellow
Cloudy
Yellow
Clear
Yellow
Clear
Yellow
Clear
Yellow
Clear
Yellow
Clear

Yellow
Clear
Yellow
Turbid
Yellow
Clear
Yellow
Cloudy
Yellow
Cloudy
Yellow
Cloudy
Yellow
Cloudy
Yellow
Clear
Yellow
Cloudy
Yellow
Clear
Yellow
Clear

4a

4b

5a

5b

6a

. 6b

7a

Yellow
i
Clear
Yellow
;—
Turbid
Yellow
—_
Turbid
Yellow
—;_•
Cloudy
Yellow
Cl Dudy
Yellow
Cloudy
Yellow
Cloudy
Yellow Yellow Yellow Yellow Yellow Yellow Yello
Clear
Hazy
Cloudy Hazy
Clear
Clear
Hazy
Yellow Yellow Yellow Yellow Yellow Yellow Yello
Clear
Clear
Clear
Clear Clear
Clear
Hazy
Yellow
Clear
Yellow
Turbid

7:00 p.m. collection

�Table 12
URINALYSIS
SPECIFIC GRAVITY

Applicators

4a

4b

5a

5b

X

la

Ib

2a

2b

No. 1

1.022

1.010

1.026

1.007

1.015

1.010

1.023

1.010

1.015

1.028

1.027

1.028

1.028

1.024

1.024

1.026

1.033

1.028

1.033

1.023

1.030

1.026

1.033

1.020

1.024

1.015

1.022

1.008

1.020

1.020

1.020

1.018

1.024

1.019

1.022

1.018

1.020

1.022

1.022

1. 016

No. 6

1.029

1.028

1.025

1.024

1.026

1.017

1.029

1.024

1.012

1.014

1.016

1.016

1.017

1.014

1.020

1.014

1.026

1.026

1.020

1.022

1.026

1.027

1.027

1.012

1. 015

1.017

1.023

1.024

No. 9

1.013

1.027

1.025

1.025

1.031

1.031

1.030

1.032

1. 015

1.030

1.025

1.020

No. 10

1.017

1.018

1.026

1.007

1.008

1.006

1.021

1.011

1. 018

No. 11

1.025

1.016

1.017

1.020

1.022

1.012

1.016

1.012

1. 025

1.026

1.015

1.023

1.023

1. 012

No. 8

1.026

1. 028

'No. 7

1.030

1. 016

No. 5

_—

1. 030

No. 4

7a

1. 029

No. 3

6a

1. 006

No. 2

6b
— _.

0

Legend
0 = Pretreatment
X = Posttreatment
1-7 = Days after treatment
a = 7:00 a.m. collection
b = 7:00 p.m. collection

3a

3b

.
—

�Table 13

U « I * AL » I I S

Appllcatort

0

1

l a

II

BACTERIA
?ew
CRYSTALS
Calcium
Oxalete

tPITH-.
Occet.
CRYSTALS
vValet

I t

la

CRYSTALS IPITHi
Uric
Rare
acid.
Urates

Jb

3a

CPITH:

fPtTH'

wnc-0-l

1-1

b-r

Jo

tfitiji.

Occet.
IPIIH:
CRYSTALS Occas.

k-» Cal-

It

BACTERIA BACTERIA CRYSTALS CPITNi
CRYSTALS XBCiO-l WBC
Few
Few
Calcium Few
Urates
IVTTHi
Rare
. Oxalate CRYSTALS
TI ' CPITHj
Urates
CRYSTALS TT"^
8-1 Cal- CRYSTALS
clue
0-1 Calctum
OxaUta

1
1

BACTERIA BACTERIA UBC:J-J
Few
Few
rRYS~TAL$
CRYSTALS PROTEIN:
clum
Calcium ~\
Oulata
Oxalata

PROTEIN; (PITHs

UBC:0-I

Few

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Ful 1

0-1

VBC; 0-1 UBC:0-I

£r*-

WBC: 0-1

WBC:0-t
tpTTHi

V3C:0-I W)C:l-2
laVTTALS IFfTH:

VBC:0-2
trTTrli

WBC:0-1
BTTH:

Few ~*

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?S

few

CRYSTALS Celclio

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11

IJ

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many
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It

EPITH,
WSC:0-I
few—
CTiYTTALS
CRYSTALS Hi&gt;|c
CRYSTALS CRYSTALS CRYSTALS Calcium acid.
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phous
late,
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late.
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CLUCOSE
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amorTrace
phous

0-1

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CRYSTALS EPITH:
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Oxalase, CRYSTALS Clum
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phous
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urates Few.
byline
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casts
•rates

tPITH;
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CRYSTALS
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BLOOO:
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Few
mucus
threads
WDC:0-I
EPITH:

Few

UBCiO-t WBC:0-I UBC:0-I ViCiO-l UDC:0-t WBC:0-I
tpTTH:
IfTTH:
IFTTB:
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FI
BACTERIA
Few
CRYSTALS
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tPTTn:

msa

in—

w«C:0-t
tTTTH: IF7TH:
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CRYSTALS CRYSTALS
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re
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.
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EPITH:
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{PITH: WBC-.I-J CRYSTALS .
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CRYSTALS Urates acid.
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nvTTALs urn

CRYSTALS WBC:I-J
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ments
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.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

.

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threads
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field

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tPITHL
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W1C;0-I

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phous
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I?TlHj. PTfrl:
lire
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f requenlt
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I* IhlCUS 1* rtocuiI
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fit

.

BACTERIA WK:0-t IACTERIA PROTEIN BACTERIA V&gt;C:0-I
1+
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TRYTTAIS Many
HlYS~TALS
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•
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phous
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phates phous
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CRYSTALS YSTALS tPITH: CPITH^ tPITH; CRYSTALS tPITH: tPITH;
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P
Calcium
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Oulate CRYSTALS slonal
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PROTEIN;
«t
amount
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wfit1 f
frequent

S

IPITH:
CfltH:
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Rare
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frequent Rare
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Oxalate Oxalate

-

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phous
•rates

amorphous

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Orates

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field
amorphous
•rates

K

»b

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(a

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ewto-

CRYSTALS CRYSTALS
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Ik

Sb

WIT

EPITH;
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Occas.
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CRYSTALS I
CJTV
amorphous
few uric
«rates, &lt;
few calcium
mulata

tPTTH;
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vn*

mucus- .
threads

ten

ia

&lt;*-

VBC

'o-i

+1
WBC: 1-2
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BACTERIA IFfTHl

&lt;*

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clum
Oulata

i

Ve

VBCiO-l
tMTH!
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tPITH;
tPITH;
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Faw

-

tPITM:
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Bcce llonal

tPITH:

tPITH;
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CRYSTALS
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slonal

Oxalate

�Figure 1. 2,4-D and Endogenous Phenolic Compounds Measured in Serum

1.0

_

0.6

_

0.4

0
X
1
2
3

,-

0.8

Subject No. 1

_

&lt;u
CO

C£

0.2 .

Day

= Pretreatment
• Posttreatment
= 1 day after treatment
= 2 days after treatment
= 3 days after treatment

�Figure 2.

2,4-D and Endogenous Phenolic Compounds Measured in Serum

0
X
1
2
3

1.0

0.8

M
&lt;U

Subject No. 2

0.6

cn
Q

0.4
00

0.2

\_
1
Day

«
»
=
=
=

Pretreatment
Posttreatment
1 day after treatment
2 days after treatment
3 days after treatment

�Figure 3.

1.0

2,4-D and Endogenous Phenolic Compounds Measured in Serum

Subject No. 3
0
X
1
2
3

i-

0.8

0)
CO

0.4
60

0.2

1
Day

= Pretreatment
= Posttreatment
= 1 day after treatment
= 2 days after treatment
= 3 days after treatment

�Figure 4. 2,4-D and Endogenous Phenoli: Compounds Measured In Serum

1.0

r.

0.8

0.6
CO

a

0.4
00

0.2

I
1
Day

Subject No. 4
0 = Pretreatment
X « Posttreatment
1 = 1 day after treatment
2 = 2 days after treatment
3 = 3 days after treatment

�Figure 5. 2,4-D rahd Endogenous Phenolic Compounds Measured in Serum

1.0 _

0.8

0.6

0.4

0.2

1
Day

Subject No. 5
0 = Pretreatment
X = Posttreatment
1 = 1 day after treatment
2 = 2 days after treatment
3 = 3 days after treatment

�Figure 6.

0.8

0.6

p
0.4

0.2

Subject No. 6
0
X
1
2
3

1.0

&lt;u

2,4-D and Endogenous Phenolic Compounds Measured in Serum

-

=
=
=
=
=

Pretreatment
Posttreatment
1 day after treatment
2 days after treatment
3 days after treatment

�Figure 7.

2,4-D and Endogenous Phenolic Compounds Measured in Serum

0 = Pretreatment
X = Posttreatment
1 « a day after treatment
2 * 2 days after treatment
3 = 3 days after treatment

1.0

0.8

to 0.6
en
H
0

00

Subject No. 7

0.4

3.

0.2

1
Day

�Figure 8. 2,4-D and Endogenous Phenolic Compounds Measured in Serum

1.0

0.8

0.6
&lt;u
en

0.4
OC

0.2

1
Day

Subject No. 8
0 » Pretreatment
X = Posttreatment
1 = 1 day after treatment
2 = 2 days after treatment
3 = 3 days after treatment

�Figure 9.

2,4-D and Endogenous Phenolic Compounds Measured in Serum

0 « Pretreatment
X = Posttreatment
1 = 1 day after treatment
2 = 2 days after treatment
3 = 3 days after treatment

1.0

0.8

g
to

Subject No. 9

0.6

0.2

1
Day

�Figure 10.

1.0

0.8

S&gt;

0.6

CO

o
sf
«M

tn

0.4

0.2

2,4-D and Endogenous Phenolic Compounds Measured in Serum

Subject No. 10
0
X
1
2
3

» Pretreatment
» Posttreatment
= 1 day after treatment
= 2 days after treatment
= 3 days after treatment

�Figure 11. 2,4-D and Endogenous Phenolic Compounds Measured in Serum

1.0

0.8

$ 0.6

V)

C5
CM

be

04
.

0.2

Subject No

0
X
1
2
3

11

Pretreattnent
Posttreatment
1 day after treatment
2 days after treatment
3 days after treatment

�Applicator No. 1
0 » Pretreatment
X « Posttreatment

Figure 12. Amount of Total 2,4-D and Endogenous Phenolic Compounds
Excreted in Urine
30

20

12

24

36

48

60
Hour

72

84

96

108

120

132

144

�30

Figure 13. Amount of Total 2,4-D and Endogenous Phenolic Compounds
Excreted in Urine

Applicator No. 2
0 «• Pretreatment
X = Posttreatment

20

o
•ato
* 10

12

24

36

48

60
Hour

72

84

96

108

120

132

144

�30

Figure 14. Amount of Total 2,4-D and Endogenous Phenolic Compounds
Excreted in Urine

20

p
L

10

Hour

Applicator No. 3
0 - Pretreatment
X = Posttreatment

�Figure 15. Amount of Total 2,4-D and Endogenous Phenolic Compounds
Excreted in Urine

Applicator No. 4
0 = Pretreatment
X = Posttreatment

30

20 .

cd

4J

o
CM

t&gt;0

10

12

24

36

48

60
Hour

72

84

96

108

120

132

144

�30

Figure 16. Amount of Total 2,4-D and Endogenous Phenolic Compounds
Excreted in Urine

Applicator No. 5
0 - Pretreatment
X = Posttreatment

20

JC

10

120

Hour

132

144

�Figure 17. Amount of Total 2,4-D and Endogenous Phenolic Compounds
Excreted in Urine

12

24

36

48

72

60

Hour

84

Applicator No. 6
0 Pretreatment
X Posttreatment

96

108

120

132

144

�30

Figure 18. Amount of Total 2,4-D and Endogenous Phenolic Compounds
Excreted in Urine

Applicator No. 7
0 = Pretreatment
X = Posttreatment

20

o

H

CM
00

X

12

24

36

48

60
Hour

72

84

96

108

120

132

i
144

�30

Figure 19. Amount of Total 2,4-D and Endogenous Phenolic Compounds
Excreted in Urine

20

rt
jj
o

6C

10

Hour

Applicator No. 8
0 * Pretreatment
X = Posttreatment

�30r

Figure 20. Amount of Total 2,4-B and Endogenous Phenolic Compounds
Excreted in Urine

Applicator No. 9
0 * Pretreatment
X » Posttreatment

20-

«8
•U

Q
CM

00

10-

X

12

24

36

48

60

72

Hour

84

96

108

120

132

144

�30 r

Figure 21. Amount of Total 2,4-D and Endogenous Phenolic Compounds
Excreted in Urine

Applicator No. 10
0 = Pretreatment
X - Posttreatment

20

O

H

(50

3-

10

I

12

24

36

48

60

72

Hour

84

96

108

120

132

144

�30 r

Applicator No. 11
0 » Pretreatment
X = Posttreatment

Figure 22. Amount of Total 2,4-D and Endogenous Phenolic Compounds
Excreted in Urine

20

10

12

24

36

48

60

72

Hour

84

96

108

120

132

144

�MS*
Appendix

Methodology for 2,4-D Analysis

�Methods for Analysis of 2,4-D
In order to select the most recent analytic techniques for 2,4-D assay
in urine, serum, gauze patches, vegetation and soil samples, a literature
survey was done. The following methods were used in our investigation:
a. Urine: Out of the total volume of urine samples, 10 ml was taken and
2 ml of IN HC1 was added to it. The acidified urine was then mixed with 5 ml
of diethyl ether and was shaken for 10 minutes on a Buchler-Vortex -evaporator
(Vortex setting was kept at 5). This extraction method was followed three
times. The ether extracts were pooled together and evaporated to complete
dryness at a temperature not higher than 45°C. The dry residue was dissolved
in 1 ml of methanol first and then mixed thoroughly with 1 ml of 15% solution
of BF3 in methanol. The resultant mixture was heated in a water bath at 70°C
for 10 minutes for complete methylation. The methylated solution was cooled
and again extracted thrice with 1 ml of n-hexane. N-hexane extracts were either
injected (1 yl) immediately in a G.C. or stored at -20°C.
b. Blood Serum: One ml of isolated serum was diluted with 4 ml of distilled
water and then acidified with 1 ml of IN HC1. The acidified serum was then
treated (i.e. extracted and methylated) in exactly the same manner as was the
urine. One yl of n-hexane extract was injected in a G.C.
c. Gauze Patches: Immediately after the day's work, the patches (from the
front, back and head cover) were soaked separately in 100 ml of methanol and
kept overnight at 4°C. After washing the patches thoroughly with methanol, 50
ml of the wash (from each group) was evaporated to dryness at less than 45°C
temperature. The dry residue was dissolved in 1 ml of methanol and then methylated and finally extracted as above. The methylated compound, however, was
attracted three times with 4 ml, 3 ml and finally 3 ml of n-hexane. The pooled
extractant was diluted when needed before G.C. analysis or stored as before at
-20°C.
d. Air Filter: Each air filter was washed with 50 ml of methanol immediately after the day's work and was kept at 5°C overnight. Clear methanol was
removed and the filter was further rinsed twice with 10 ml of methanol. The
pooled methanol was treated in the same way as the gauze patches.
e. Vegetation: Ten grams of freshly collected leaves were chopped and homogenized in 50 ml of 95% hot ethanol. The homogenate was centrifuged at 5,000
rpm in a fixed angle rotar for 30 minutes. Supernatant was carefully removed
and saved. The pellet was thoroughly washed with 50 ml of 80% hot ethanol and
recentrifuged three times as before. Each supernatant fraction was pooled together in a round bottom flask and was evaporated to bring the final volume to
20 ml. The concentrated supernatant was adjusted to pH 3 by adding exactly
10 drops of H3PO^. This acidified solution was extracted first with 50 ml of
diethyl ether and then with 25 ml and finally with 25 ml of diethyl ether. The
total extractant was evaporated to dryness under a current of nitrogen at 45°C.
The dry residue was again extracted three times with 3ml, 1 ml and 1 ml of
methanol. The combined methanol extract was treated with 1 ml of 15% BF2 in
methanol and kept under a nitrogen atmosphere in a water bath at 70°C until
concentrated to 2 ml. This methylated solution was further extracted with nhexane as described above. N-hexane was diluted when needed for G.C. analysis.

�f. Soil: Fifty prams of soil sample was mixed with 40 ml of IN H^SO, to
prepare a slurr. To the acidified soil, 45 ml of diethyl ether was added and
was taken in a separating funnel for extraction. The separating funnel containing the soil sample was shaken for a total of fifteen minutes, but for not
more than one minute at a time. The solvent layer was decanted and passed
through glass wool and the aqueous layer containing soil particles was rejected.
The clear solvent layer was then mixed with 25 ml of IN NaOH and shaken vigorously in a separating funnel for 1 minute. The organic layer was rejected and
the alkaline aqueous layer was cleaned by partition method with 25.ml chloroform. The clean aqueous layer was further acidified with 1 ml of cone. l^SO^
and extracted with 25 ml of ether. The ether extract was dried completely and
redissolved in 5 ml of methanol. Methylation and final n-hexane extraction
were made as in the case of the vegetation samples.
The following gas chromatographic conditions were used:
Detector, Electron capture Ni 63 temperature: 350°C
Gas: Methane: Argon
(5:95)
Flow rate through the column
25 ml/min
Sample volume injected
1 yl
Column material
3% 0V 101 on 80/100 supelcoport
Length of the column
6 ft
I.D. of the column
2 mm
Column temperature
187°C
Injection port temperature
200°C

�</text>
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&lt;p&gt;For more about this collection, &lt;a href="/exhibits/speccoll/exhibits/show/alvin-l--young-collection-on-a"&gt;view the Agent Orange Exhibit.&lt;/a&gt;&lt;/p&gt;</text>
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&lt;p&gt;For more about this collection, &lt;a href="/exhibits/speccoll/exhibits/show/alvin-l--young-collection-on-a"&gt;view the Agent Orange Exhibit.&lt;/a&gt;&lt;/p&gt;</text>
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&lt;p&gt;For more about this collection, &lt;a href="/exhibits/speccoll/exhibits/show/alvin-l--young-collection-on-a"&gt;view the Agent Orange Exhibit.&lt;/a&gt;&lt;/p&gt;</text>
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&lt;p&gt;For more about this collection, &lt;a href="/exhibits/speccoll/exhibits/show/alvin-l--young-collection-on-a"&gt;view the Agent Orange Exhibit.&lt;/a&gt;&lt;/p&gt;</text>
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