Abstract
In 1998, Risch proposed a hypothesis for the pathogenesis of ovarian cancer relating to the role of
androgens in stimulating epithelial cell proliferation. Although this hypothesis has been widely
discussed, direct evidence to support it is scant. To address this issue, we have conducted a detailed
analysis of factors possibly associated with high circulating levels of androgens, including polycystic
ovary syndrome (PCOS), hirsutism and acne (all clinically associated with hyperandrogenism) using
the data collected in an Australia-wide, population-based case-control study. Cases aged 18–79
years with a new diagnosis of invasive epithelial ovarian cancer (nZ1276) or borderline malignant
tumour ( nZ315) were identified through a network of clinics and cancer registries throughout
Australia. Controls (nZ1508) were selected from the National Electoral Roll. Women self-reported a
history of PCOS, acne, hirsutism and also use of testosterone supplements or the androgenic
medication Danazol. We found no evidence that a history of PCOS, acne or hirsutism was associated
with ovarian cancer overall, or with specific subtypes, with the exception of serous borderline tumours
that were positively associated with a history of PCOS (OR 2.6; 95% CI 1.0–6.1). Women who had
ever used testosterone supplements had an increased risk of ovarian cancer (OR 3.7; 95% CI
1.1–12.0); however, use of the androgenic medication Danazol did not increase risk (OR 1.0; 95% CI
0.4–2.9). Overall, our results do not support the hypothesis that androgen-related disorders increase
the risk of ovarian cancer.
Endocrine-Related Cancer (2008) 15 1061–1068
Introduction
In 1998, Risch (1998) put forward a hypothesis for the
pathogenesis of ovarian cancer relating to the role of
androgens in stimulating epithelial cell proliferation.
Although widely discussed in the aetiologic literature,
there is a scant evidence to support this hypothesis.
While a number of in vitro and animal experiments
suggest a role for androgens in the development of
ovarian cancer, epidemiol ogical evidence is less
convincing. Four prospective studies have examined
the prediagnostic serum levels of androgens but, aside
from the first very small study ( nZ31 cases;
Helzlsouer et al . 1995 ), none has reported any
significant associations with ovarian cancer risk
(Helzlsouer et al. 1995, Lukanova et al. 2003, Rinaldi
et al . 2007 , Tworoger et al . 2007 ). These studies are,
however, based on a single measure of androgens that
may not accurately reflect long-term exposure. Others
have assessed markers of high androgen levels such as
polycystic ovary syndrome (PCOS), a disorder of
functional androgen excess ( Azziz 2003 ), and hirsut-
ism and acne which are associated with high
circulating levels of androgens ( Lucky 1995 ), but
these studies have also been limited by small numbers
of exposed cases. One case-control study has reported
an increased risk of ovarian cancer among women with
PCOS ( Schildkraut et al . 1996 ), although this finding
was based on few exposed cases ( nZ7), and has not
been confirmed in prospective studies ( Coulam et al .
1983, Pierpoint et al . 1998 ); and only one previous
study has investigated the association between acne or
hirsutism and ovarian c ancer, noting a positive
association based on 13 and 3 exposed cases
respectively ( Wynder et al . 1969 ). These associations
Endocrine-Related Cancer (2008) 15 1061–1068
Endocrine-Related Cancer (2008) 15 1061–1068
1351–0088/08/015–001061 q 2008 Society for Endocrinology Printed in Great Britain
DOI: 10.1677/ERC-08-0075
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have not been examined by tumour behaviour or
histological subtype despite some known differences in
risk factors ( Risch et al . 1996 , Titus-Ernstoff et al .
2001, Purdie et al .2 0 0 3).
To address this issue, we have conducted a detailed
analysis of factors that have been clinically associated
with high circulating levels of androgens, including
PCOS, hirsutism and acne, in relation to risk of the
major histological subtypes of ovarian cancer using the
data collected from an Australia-wide, population-
based case-control study. We also examined whether
use of testosterone hormone therapy or the androgenic
medication Danazol was related to ovarian cancer.
Danazol (17- a-ethinltestosterone; marketed as Dano-
crine in the US) is a synthetic androgen that binds to
androgen receptors and sex hormone-binding globulin
resulting in a threefold increase in free testosterone and
is commonly used for the treatment of endometriosis
(Olive & Pritts 2001 ). We assessed potential
interaction between body mass index (BMI) and
PCOS and ovarian cancer risk, since overweight or
obese women with PCOS appear to suffer from a more
severe form of hyperandrogenism than those of normal
weight with PCOS ( Gambineri et al . 2002 ).
Methods
Study participants
The Australian Ovarian Cancer Study was an Australia-
wide population-based case-control study of epithelial
ovarian cancer; full details of study design and
participant recruitment have been reported previously
(Merritt et al . 2008 ). Cases were women aged 18–79
years living in Australia with histologically confirmed
epithelial ovarian, fallopian tube or primary peritoneal
cancer newly diagnosed between January 2002 and June
2005. Cases were recruited by nurses who liaised with
the treatment clinics, physicians and state cancer
registries throughout Australia. Of the 3550 women
identified with suspected ovarian cancer, 307 died
before contact could be made, physicians refused to
give consent to contact 133, usually because they were
too sick or unable to give informed consent and 194
women could not be contacted. A further 171 (5%) were
excluded on the basis of language difficulties (70),
mental incapacity (35) and illness (66). The remaining
2745 women with a clinically suspected diagnosis of
ovarian cancer were invited to participate (prior to
surgery, to facilitate fresh tissue collection) and, of
these, 2319 (85%) agreed to take part. After surgery,
pathology reports were obtained for all women and a
further 608 women were excluded because their final
diagnosis was a benign, non-epithelial or metastatic
tumour and not primary epithelial ovarian cancer, 25
because their cancer was first diagnosed before the start
of the study period and one women was excluded
because she was not an Australian resident at the time of
her initial diagnosis. Two researchers independently
abstracted information on tumour site, histological
subtype and tumour behaviour (invasive versus border-
line) from the diagnostic histopathology reports.
Discrepancies were resolved by consensus. To check
the quality of the abstracted data, the pathology reports
and the full set of diagnostic slides for a sample of 200
women were reviewed by a gynaecologic pathologist;
agreement with the abstracted data was O95% for
tumour subtype and site, and 99% for tumour behaviour.
Of the final 1685 eligible participants, 1591 (94%)
returned a questionnaire.
Controls were randomly selected from the national
electoral roll (enrolment is compulsory) and were
frequency matched by age (in 5-year age bands) and
state of residence to the case group. Selected women
were mailed an invitation l etter and information
brochure explaining the study and then, where
possible, followed up by telephone. Of the 3613
women contacted and invited to participate, 171
women were excluded due to illness (63), language
difficulties (97) and death (11). Of the remaining 3442
women, 1613 agreed to participate and returned a
questionnaire (47%). Six of them reported a history of
ovarian cancer and 99 reported a previous bilateral
oophorectomy and thus were excluded from the present
study leaving 1508 population controls.
This study was approved by the Human Research
Ethics Committees at the Peter MacCallum Cancer
Centre, Queensland Institute of Medical Research,
University of Melbourne, the Cancer Councils of New
South Wales, South Australia and Victoria, the Cancer
Foundation of Western Australia and all participating
hospitals.
Data collection
After obtaining written informed consent, information
was collected by a self-administered questionnaire that
included questions about the demographic, medical,
hormonal, reproductive, diet, family history and other
potential risk factors for ovarian cancer. Women self-
reported ever having a range of medical conditions
including PCOS, severe acne as an adult, or excess
body hair (face, chest or abdomen). The questionnaire
included detailed questions about the use of hormone
replacement therapy (tablets, implants, patches and
gels/creams/pessaries) and other hormonal treatments
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from which we were able to derive ever-use of
testosterone or Danazol. Conditions or medication
use after a reference date (defined as 1 year before the
date of diagnosis for cases or date of first approach for
controls) were excluded as they might have been
influenced by the presence of preclinical disease.
Statistical analysis
Multivariable logistic models were used to adjust for
potential confounders, including age at diagnosis/first
approach, education, parity, hormonal contraceptive
use and BMI. Other potential confounders that were
considered for all analyses but not included in the final
models since they did not substantially alter risk
estimates were: state of residence, perineal talc use,
history of hysterectomy or tubal sterilization, family
history of breast or ovarian cancer in a first-degree
relative, smoking, breastfeeding, menopausal status
and level of recreational physical activity. For the
analyses of PCOS, acne, hirsutism, testosterone
supplements and Danazol use, the reference group
was defined as women with no reported history of
PCOS, hirsutism or acne. We also created a combined
variable ‘any androgen-related disorder’ that included
women who had a self-reported history of PCOS or
acne or hirsutism.
We conducted analyses for all tumour types
(invasive and borderline) firstly for all histological
subtypes combined, and then by subtype. We simul-
taneously compared invasive and borderline cases with
controls using polytomous logistic regression. We
examined effect modification between the main
variables of interest and hormonal contraceptive use,
menopausal status and parity. The statistical signi-
ficance of any observed stratum-specific differences
was assessed by including a cross-product term in
regression models. To assess potential biological
interaction between BMI and PCOS, we created a
new variable that re-classified women according to
their combined exposure to obesity and PCOS. Risks
for each category of combined exposure were
estimated relative to the reference category (normal
weight and no PCOS) in multivariable logistic
regression analyses. All statistical analyses were
performed using SAS version 9.1 (SAS Institute Inc.,
Cary, NC, USA).
Results
Based on the histopathology review, 1276 women had
invasive cancer classified as follows: serous 847
(66%), endometrioid 142 (11%), clear cell 90 (7%),
mucinous 42 (3%) and mixed or other histopathology
155 (12%). A further 315 women had borderline (low
malignant potential) tumours classified as serous 152
(48%), mucinous 151 (48%) and other 12 (4%). Cases
with mixed or other histopathology were excluded
from the analyses by subtype. Descriptive statistics of
the study population are presented in Table 1 . Cases
were significantly older than controls (mean age: cases,
57.9 years; controls, 56.4 years; PZ0.001) and were
less likely to have continued their education beyond
high school. Cases were more likely to be nulliparous
and to report a history of breast or ovarian cancer in a
first-degree relative, and were less likely to have ever
used oral contraceptives.
A history of PCOS was reported in 52 women; 130
reported a history of acne and 197 of hirsutism. Of the
Table 1 Descriptive characteristics of 1591 women with
epithelial ovarian cancer and 1508 randomly selected popu-
lation-based controls
Variable
Controlsa
(nZ1508) n (%)
Casesa
(nZ1591) n (%) P valueb
Age
!30 42 (3) 37 (2)
30–39 112 (7) 87 (5)
40–49 279 (18) 262 (16)
50–59 450 (30) 485 (30)
60–69 399 (26) 463 (29)
70C 226 (15) 257 (16) 0.08
Highest level of education
High school 740 (49) 866 (54)
Technical
college/trade
certificate
550 (36) 509 (32)
University 218 (14) 216 (14) 0.01
Number of pregnancies (R6 months)
Nulliparous 180 (12) 302 (19)
1–2 645 (43) 651 (41)
R3 683 (45) 635 (40) !0.0001
Ever used oral contraceptives
No 324 (22) 511 (33)
%5 years 365 (24) 438 (28)
O5 years 813 (54) 623 (40) !0.0001
History of breast or ovarian cancer in a first-degree relative
Yes 196 (13) 276 (17)
No 1312 (87) 1315 (83) 0.0008
Body mass index one year ago
!18.5 33 (2) 30 (2)
!18.5–24.9 662 (44) 585 (41)
25–29.9 453 (30) 472 (33)
R30 341 (23) 348 (24) 0.22
Body mass index at age 20 years
!18.5 216 (15) 227 (15)
!18.5–24.9 1090 (74) 1093 (73)
25–29.9 119 (8) 113 (9)
R30 40 (3) 43 (3) 0.84
aNumbers may not sum to total because of missing data.
bc2 test for heterogeneity.
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women with PCOS, 12 of these also reported a history
of hirsutism and 3 of acne. There was no overall
association between PCOS, hirsutism or acne and all
invasive cancers combined, but weak positive associa-
tions with PCOS and hirsutism were seen for border-
line tumours (OR 1.8, 95% CI 0.8–3.9 and OR 1.5 95%
CI 0.9–2.3 respectively; Table 2 ). The differences
between the invasive and borderline tumours were
statistically significant for PCOS ( PZ0.049) and
borderline significant for hirsutism ( PZ0.05). When
the histological subtypes were examined separately, a
self-reported history of PCOS was associated with
serous borderline tumours only (OR 2.5, 95% CI
1.0–6.1; Table 3). There was no significant association
between self-reported acne or hirsutism and any of the
subtypes of ovarian cancer although, as for borderline
tumours overall, serous borderline tumours were non-
significantly associated with hirsutism (OR 1.5, 95%
CI.0.8–2.7). In our combined variable, history of any
androgen-related disorder (PCOS or acne or hirsutism)
was not associated with any of the subtypes of ovarian
cancer (data not shown).
Table 4 considers the combined effects of PCOS and
BMI (1 year prior to diagnosis) separately for all
cancers, and by invasiveness and histology. There was
no evidence of biological interaction between PCOS
and BMI for invasive cancer. For borderline tumours,
the OR was 0.9 (95%CI 0.2–4.4) for non-obese women
with PCOS compared with non-obese women without
PCOS, but rose to 3.0 (95% CI 1.2–7.5) for obese
women with PCOS. This increased risk again appeared
to be restricted to the single subtype of serous
borderline tumours (OR 5.7; 95% CI 2.1–15.7 for
obese women with PCOS). We did not observe any
significant effect modification by OC use, menopausal
status or parity.
Eleven cases (nine invasive and two borderline) and
seven control women reported use of Danazol. After
adjustment for age, education, parity, hormonal contra-
ceptive use and self-reported endometriosis, the OR for
the association between Danazol use and ovarian
cancer (all cases) was 1.0 (95% CI 0.4–2.9). Eleven
cases (all invasive) and four control women reported
ever-use of testosterone (t ablets, patches, troches
and cream). The odds ratio for the association with
invasive cancer (after adjustment for age, education,
parity and hormonal contraceptive use) was 3.7 (95%
CI 1.1–12.0).
Discussion
In this large population-based case-control study, we
found no evidence that self-reported histories of either
PCOS, acne or hirsutism (all clinically associated with
high circulating levels of androgens) were associated
with increased ovarian cancer risk overall, although
women with PCOS, who were also overweight, had a
significantly increased risk of serous borderline
tumours. Women who had ever used testosterone
supplements had an increased risk of ovarian cancer
while the use of the androgenic medication Danazol
did not increase risk.
As discussed by Risch (1998) , several lines of
evidence suggest a possible aetiologic role for elevated
androgens in the pathogenesis of ovarian cancer.
Androgen receptors have been detected in normal
and neoplastic ovarian epithelial cells ( Kuhnel et al .
1987, Chadha et al . 1993 , Ilekis et al . 1997 , Cardillo
et al .1 9 9 8 , Lau et al .1 9 9 9 , Modugno 2004 ),
gonadotropins and androgens that stimulate the
proliferation of normal and malignant human ovarian
epithelial cells in vitro (Syed et al . 2001 , Edmondson
et al . 2002 , Modugno 2004 , Stewart et al . 2004 ), and
ovarian cancer cell growth is inhibited in vitro by anti-
androgens (Slotman & Rao 1989). Animal experiments
have demonstrated that testosterone can enhance the
growth of ovarian epithelial tumours ( Sawada et al .
1990, Tennent et al . 1993 , Silva et al . 1997 ).
Other indirect evidence suggesting a possible
aetiologic role for elevated androgens in the initiation
and/or progression of ovarian cancer has come from
Table 2 Multivariable adjusteda odds ratios (OR) and 95% confidence intervals (CI) of epithelial ovarian cancer for history of
androgen-related disorders, by tumour invasiveness
All cases Invasive Low malignant potential
Androgen-related disorderb Controls Cases OR a (95% CI) Cases OR a (95% CI) Cases OR a (95% CI)
Polycystic ovary syndrome 24 28 1.1 (0.6–2.0) 16 0.8 (0.4–1.6) 12 1.8 (0.8–3.9)
Hirsutism 96 101 1.0 (0.7–1.3) 72 0.9 (0.6–1.2) 29 1.5 (0.9–2.3)
Acne 68 62 0.9 (0.6–1.3) 51 1.0 (0.7–1.5) 11 0.6 (0.3–1.2)
aAdjusted for age, education, parity, hormonal contraceptive use, BMI 1 year ago.
bReference group was women with no self-reported history of PCOS, acne or hirsutism.
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epidemiologic studies ( Risch 1998 ). Firstly, it is well
known that oral contraceptives, which suppress ovarian
testosterone production ( Gaspard et al . 1983 , Murphy
et al . 1990, Greer et al . 2005), protect against ovarian
cancer. Secondly, there have been a number of case
reports of ovarian cancer in female-to-male transsex-
uals who have undergone testosterone supplementation
(Hage et al. 2000, Dizon et al. 2006), although the true
incidence of the disease in this population is not yet
known. Other potentially supportive evidence has
come from a small number of population-based case-
control studies. Schildkraut et al . (1996) observed a
2.5-fold increased risk of ovarian cancer among
women with PCOS, although the analysis was based
on a small number of women with PCOS (7 cases and
24 controls). Acne and hirsutism have also been
associated with ovarian cancer ( Wynder et al . 1969 ),
while Cottreau et al . (2003) reported that after
adjusting for age, gravidity, OC use and family history
of ovarian cancer, women who used Danazol ( nZ19)
had over three times the risk for ovarian cancer
compared with non-users.
Our data do not confirm these previous findings. We
did not find any overall association with PCOS, acne or
hirsutism, and our results for Danazol, based on a
similar number of users ( nZ18), did not confirm the
findings of Cottreau et al . (2003) . We did observe a
relationship between PCOS and borderline serous
tumours and can only speculate as to the reason for
this. Current evidence derived from molecular and
Table 3 Multivariable adjusteda odds ratios (OR) and 95% confidence intervals (CI) of epithelial ovarian cancer for history of
androgen-related disorders, by tumour invasiveness and histological subtype
Invasive cancer Borderline tumours
Androgen-related
Serous
(nZ847)
Endometrioid
(nZ142)
Clear cell
(nZ90)
Mucinous
(nZ42)
Serous
(nZ152)
Mucinous
(nZ151)
disorderb Controls OR (95% CI) OR (95% CI) OR (95% CI) OR (95% CI) OR (95% CI) OR (95% CI)
Polycystic ovary
syndrome (PCOS)
24 1.0 (0.5–2.0) 2.5 (1.0–6.1) 0.7 (0.1–3.0)
Hirsutism 96 0.7 (0.5–1.1) 1.3 (0.7–2.4) 1.2 (0.5–2.8) 1.4 (0.5–3.9) 1.5 (0.8–2.7) 1.3 (0.7–2.4)
Acne 68 0.9 (0.6–1.5) 1.6 (0.7–3.3) 0.7 (0.2–2.4) 1.3 (0.4–4.5) 0.6 (0.2–1.6) 0.7 (0.3–1.7)
Estimates are not presented for the relationship between PCOS and endometrioid, clear cell and mucinous invasive cancers due to
insufficient numbers of exposed cases.
aAdjusted for age, education, parity, hormonal contraceptive use and BMI 1 year ago.
bReference group was women with no self-reported history of PCOS, acne or hirsutism.
Table 4 Multivariable adjusted a odds ratios (OR) and 95% confidence intervals (CI) for the risk of epithelial ovarian cancer
according to the combined effect of history of polycystic ovary syndrome (PCOS) and body mass index (BMI; reference group is
BMI!25, no PCOS)
No PCOS PCOS
Controls (n) Cases ( n) OR (95% CI) Controls ( n) Cases ( n) OR (95% CI)
All cases
BMI 1 year ago !25 684 600 1.0 (Ref) 10 6 0.7 (0.3–2.0)
BMI 1 year ago R25 777 786 1.2 (1.0–1.4) 14 19 1.7 (0.8–3.4)
Invasive cases
BMI 1 year ago !25 684 480 1.0 (Ref) 10 4 0.6 (0.2–2.1)
BMI 1 year ago R25 777 639 1.2 (1.0–1.4) 14 10 1.1 (0.5–2.6)
Borderline cases
BMI 1 year ago !25 684 120 1.0 (Ref) 10 2 0.9 (0.2–4.4)
BMI 1 year ago R25 777 147 1.2 (0.9–1.6) 14 9 3.0 (1.2–7.5)
Serous borderline
BMI 1 year ago !25 684 48 1.0 (Ref) 10 1 1.1 (0.1–8.9)
BMI 1 year ago R25 777 79 1.7 (1.1–2.4) 14 7 5.7 (2.1–15.7)
Mucinous borderline
BMI 1 year ago !25 684 68 1.0 (Ref) 10 0 –
BMI 1 year ago R25 777 63 0.9 (0.7–1.4) 14 2 1.1 (0.2–5.5)
aAdjusted for age, education, parity and hormonal contraceptive use.
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genetic studies suggests that the borderline and
invasive serous tumours develop through independent
pathways (Singer et al. 2003, Shih Ie & Kurman 2004 ,
Bell 2005 ), and thus the endocrine consequences of
PCOS may have differential effects on the patho-
genesis of these different tumour types. In addition,
PCOS is a complex disorder associated with alterations
in endogenous sex hormone levels, suppression of
ovulation, infertility and a number of metabolic
disorders including insulin resistance (Solomon
1999). This complex array of conditions make it
difficult to assess the effect of increased androgen
levels on ovarian cancer risk in isolation, and may also
explain why we did not observe an association for
some subtypes. We observed a threefold increased risk
of ovarian cancer for women who had ever used
testosterone supplements, and although our analysis
was based on a very small number of women, this
finding is potentially interesting and warrants further
investigation.
Four prospective studies have examined the associ-
ation between circulating androgens and the risk of
ovarian cancer (Helzlsouer et al. 1995, Lukanova et al.
2003, Rinaldi et al . 2007 , Tworoger et al . 2007 ).
Although the first study, based on only 31 exposed
cases, found an increasing risk of ovarian cancer with
increasing levels of androstenedione and dehydroe-
piandrosterone ( Helzlsouer et al . 1995 ), other larger
and more recent studies have not observed an
association between prediagnostic androgens and
ovarian cancer risk ( Lukanova et al . 2003 , Tworoger
et al .2 0 0 7). Rinaldi et al . (2007) observed an inverse
association between free testosterone concentrations
and ovarian cancer risk in postmenopausal women only
(192 cases); however, other studies have not confirmed
this finding, and our data do not suggest a differential
effect by menopausal status. The results from
prospective studies of circulating androgen levels are
thus generally null, possi bly because circulating
androgens may not reflect androgen exposure at the
tissue level. The ovarian epithelium is not vascular and
thus paracrine hormonal influences may be more
important than endocrine sources ( Lukanova &
Kaaks 2005 ).
Strengths of our study include the population-based
design, large number of cases and detailed infor-
mation on multiple exposures. A limitation was the
relatively low participation rate among controls
(47%), which could have resulted in selection bias;
however, a comparison with the data from the
Australian National Health Survey (NHS) conducted
in 2004 (a representative survey of the Australian
adult population; ABS 2006 )r e v e a l e dt h a tt h e
distributions of education level, parity and BMI
among our control women were almost identical to
those from the NHS ( Jordan et al . 2007 ), and it is
therefore unlikely that non-response could have
resulted in appreciable bias. Another limitation was
reliance upon self-reported medical history of PCOS,
hirsutism and acne, and medication use. PCOS is a
complex condition that may not be accurately reported
by women. There may also be asymptomatic women
with PCOS in our study population ( Polson et al .
1988, Azziz et al . 2004 ); however, such under-
reporting of PCOS would most likely have been
random, and probably would have resulted in bias
towards the null. It is possible that the cases were
more likely to recall a history of PCOS and also use of
medications/hormonal pre parations than controls;
however, this cannot explain the observed association
between PCOS and the minority of borderline cases
but not invasive cases. Women are unlikely to
associate hirsutism and acne with ovarian cancer and
therefore any misclassification of these conditions is
expected to be non-differential.
In summary, we found no consistent evidence for a
role of androgens in the aetiology of ovarian cancer,
overall or by subtype, and thus our findings do not
support the hypothesis that androgen-related disorders
increase the risk of ovarian cancer. Although labora-
tory studies have suggested a role for androgens in the
development of ovarian cancer, there is very little
epidemiological evidence to support an association.
Studies are also constrained by small sample sizes, and
there is heterogeneity both in the types of exposure
measures reported and the research findings. The
Results
from prospective studies of circulating andro-
gen levels are generally null. Large collaborative
analyses are required to examine the associations
between markers of high androgen levels and risk of
ovarian cancer subtypes, and future research should
target the relative roles of endocrine versus paracrine
androgen sources.
Declaration of interest
The authors declare that there is no conflict of interest that
could be perceived as prejudicing the impartiality of the
research reported.
Funding
The Australian Ovarian Cancer Study was supported by the
US Army Medical Research and Materiel Command under
DAMD17-01-1-0729, The Cancer Council Tasmania and
The Cancer Foundation of Western Australia; The Australian
Cancer Study was supported by the National Health and
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Medical Research Council of Australia (199600). David
Whiteman and Penelope Webb are supported by Senior
Research Fellowships from the National Health and Medical
Research Council of Australia. Christina Nagle and Susan
Jordan are supported by Postdoctoral Public Health Training
Fellowships from the National Health and Medical Research
Council of Australia. Catherine Olsen is supported by a
University of Queensland Postdoctoral Fellowship.
Acknowledgements
We gratefully acknowledge the cooperation of the following
institutions: New South Wales: John Hunter Hospital, North
Shore Private Hospital, Royal Hospital for Women, Royal
North Shore Hospital, Royal Prince Alfred Hospital,
Westmead Hospital, New South Wales Cancer Registry;
Queensland: Mater Misericordiae Hospital, Royal Brisbane
and Women’s Hospital, To wnsville Hospital, Wesley
Hospital, Queensland Cancer Registry; South Australia:
Flinders Medical Centre, Queen Elizabeth II, Royal Adelaide
Hospital, South Australian Cancer Registry; Tasmania:
Royal Hobart Hospital; Victoria: Freemasons Hospital,
Mercy Hospital For Women, Monash Medical Centre,
Royal Women’s Hospital, Victorian Cancer Registry;
Western Australia: King Edward Memorial Hospital, St
John of God Hospitals Subiaco, Sir Charles Gairdner
Hospital, Western Australia Research Tissue Network
(WARTN), Western Australia Cancer Registry. We also
acknowledge the contribution of the study nurses and
research assistants and would like to thank all of the
women who participated in the study. Full membership of the
Australian Ovarian Cancer Study Group is listed at http://
www.aocstudy.org/; the Australian Cancer Study Investi-
gators are A Green, P Parsons, N Hayward, P Webb and D
Whiteman.
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