Epidemiology of ovarian cancer: a review

Brett M. Reid, Jennifer B. Permuth, Thomas A. Sellers

Department of Cancer Epidemiology, Division of Population Sciences, Moffitt Cancer Center, Tampa 33612, FL, USA

Epidemiology of ovarian cancer: a review

Brett M. Reid, Jennifer B. Permuth, Thomas A. Sellers

Department of Cancer Epidemiology, Division of Population Sciences, Moffitt Cancer Center, Tampa 33612, FL, USA

Ovarian cancer (OC) is the seventh most commonly diagnosed cancer among women in the world and the tenth most common in China. Epithelial OC is the most predominant pathologic subtype, with five major histotypes that differ in origination, pathogenesis, molecular alterations, risk factors, and prognosis. Genetic susceptibility is manifested by rare inherited mutations with high to moderate penetrance. Genome-wide association studies have additionally identified 29 common susceptibility alleles for OC, including 14 subtype-specific alleles. Several reproductive and hormonal factors may lower risk, including parity, oral contraceptive use, and lactation, while others such as older age at menopause and hormone replacement therapy confer increased risks. These associations differ by histotype, especially for mucinous OC, likely reflecting differences in etiology. Endometrioid and clear cell OC share a similar, unique pattern of associations with increased risks among women with endometriosis and decreased risks associated with tubal ligation. OC risks associated with other gynecological conditions and procedures, such as hysterectomy, pelvic inflammatory disease, and polycystic ovarian syndrome, are less clear. Other possible risk factors include environmental and lifestyle factors such as asbestos and talc powder exposures, and cigarette smoking. The epidemiology provides clues on etiology, primary prevention, early detection, and possibly even therapeutic strategies.

Ovarian cancer; epidemiology; risk factors; histology; reproductive history

Introduction

Ovarian cancer (OC) accounts for an estimated 239,000 new cases and 152,000 deaths worldwide annually1. The highest rates (11.4 per 100,000 and 6.0 per 100,000, respectively) are seen in Eastern and Central Europe. Although China has a relatively low incidence rate (4.1 per 100,000), the large population translates to an estimated 52,100 new cases and 22,500 related deaths in 20152. In comparison, 21,290 cases and 14,180 related deaths are estimated to occur in the USA during the same year3.

A woman’s lifetime risk of developing OC is 1 in 75, and her chance of dying of the disease is 1 in 1004. The disease typically presents at late stage when the 5-year relative survival rate is only 29%. Few cases (15%) are diagnosed with localized tumor (stage 1) when the 5-year survival rate is 92%4. Strikingly, the overall 5-year relative survival rate generally ranges between 30%–40% across the globe and has seen only very modest increases (2%–4%) since 19955.

Despite the public health significance, the etiology of this lethal disease is not completely understood. This review is divided into five sections: pathologic classification, descriptive epidemiology, genetic epidemiology, risk and preventive factors, and summary and conclusions.

Pathologic classification of OC

Nearly all benign and malignant ovarian tumors originate from one of three cell types: epithelial cells, stromal cells, and germ cells. In developed countries, more than 90% of malignant ovarian tumors are epithelial in origin, 5%–6% of tumors constitute sex cord-stromal tumors (e.g., granulosa cell tumors, thecomas, etc.), and 2%–3% are germ cell tumors (e.g., teratomas, dysgerminomas, etc.)6. The pathology and classification of ovarian tumors are described in detail by Chen et al.7. Most epidemiologic research, including the present review, focuses on epithelial OC.

Epithelial OC reflects a heterogeneous disease with histologic subtypes (histotypes) that differ in their cellular origin, pathogenesis, molecular alterations, gene expression, and prognosis8-11. Malignant OC, also known as carcinomas, are comprised of five main histotypes: high-grade serous (HGSOC; 70%), endometrioid (ENOC; 10%), clear cell (CCOC; 10%), mucinous (MOC; 3%), and low-grade serous (LGSOC; ＜5%)8,9. Within each of these categories, although most often among serous and mucinous, are tumors ofuncertain malignant behavior known as borderline or low malignant potential (LMP) tumors that contain microscopic features of malignancy without frank invasion into surrounding stroma12.

The cellular origin and pathogenesis of OC is not well understood and, interestingly, most tumors appear to originate from other gynecological tissues and involve the ovary secondarily. Morphological and genetic studies have given rise to several hypothesis of origination, particularly for high-grade serous tumors that lack a clear progression model13,14. Compelling data suggest high and low grade serous neoplasms originate from fallopian tube epithelium, CCOC and ENOC from endometriotic cysts associated with endometriosis, and MOC from transitional cell nests at the tubal-mesothelial junction15,16. HGSOC and LGSOC are both thought to arise from tubal epithelium although through separate pathways. Atypical lesions within the fimbriated end of the fallopian tube (serous tubal intraepithelial carcinomas) display similar morphology and TP53 signatures as HGSOC tumors suggesting the neoplastic process may originate at these tubal lesions and shed onto the ovary where they aggressively progress17-19. LGSOC tumors present along a continuum that delineates a clear progression from benign serous cystadenoma to borderline serous tumor and then low-grade carcinoma. The epithelial inclusion glands presumed to derive the cystadenoma, although located in the ovary, are phenotypically tubal suggesting they formed from transplanted tubal epithelium20. Similar to low-grade serous tumors, mucinous, endometrioid, and clear cell carcinomas are thought to progress from borderline tumors in a stepwise manner and are designated as Type I tumors21. HGSOC has an aggressive phenotype and lacks a clear precursor and is considered Type II. Type I and Type II tumors display different, often mutually exclusive mutational profiles. Type I tumors are associated with mutations in BRAF and KRAS oncogenes in serous and mucinous tumors, and PTEN in endometroid tumors, all of which are not characteristic of HGSOC tumors which predominantly (～50%–80%) have p53 mutations21. Moreover, some risk and preventive factors vary by the major histotypes. Epidemiological studies of OC are increasingly investigating etiologic factors by histopathologic and molecular subtypes22-30, an integrative approach termed “molecular pathological epidemiology”31. These studies have shown that many risk factors associate differentially with the main histotypes and we present these results throughout this review.

Descriptive epidemiology

OC incidence exhibits wide geographic variation (Figure 1)32. The highest age-adjusted incidence rates are observed in developed parts of the world, including North America and Central and Eastern Europe, with rates generally exceeding 8 per 100,000. Rates are intermediate in South America (5.8 per 100,000), and lowest in Asia and Africa (≤3 per 100,000). Migration from countries with low rates to those with high rates results in greater risk33,34underscoring the importance of non-genetic risk factors. Within the United States, racialdifferences in incidence and mortality mimic the observed international variation with rates highest among Whites, intermediate for Hispanics, and lowest among Blacks, and Asians4. Variation within large countries such as China also mimics international variation with incidence and mortality higher within developed, urban regions versus less developed, rural regions35.

Figure 1 Ovarian cancer incidence exhibits wide geographic variation.

In most developed countries, largely including North America and Europe, OC incidence and mortality has gradually declined since the 1990s4,36-40. Conversely, historically less developed countries with recent economic growth and lifestyle changes have seen increases in incidence and mortality rates. In China, the increase is apparent only among rural women rather than those in more developed, urban regions2,41.

Genetic epidemiology

One of the most significant risk factors for OC is a family history of the disease42. First-degree relatives of probands have a 3- to 7-fold increased risk, especially if multiple relatives are affected, and at an early age of onset43-47. Rare high penetrant mutations in the BRCA1 and BRCA2 genes greatly increase lifetime risk48and account for the majority of hereditary cases and 10%–15% of all cases49-57. Data from the Breast Cancer Linkage Consortium suggest the risk of OC through age 70 years is up to 44% in BRCA1 families58and approaches 27% in BRCA2 families59. Hereditary non-polyposis colorectal cancer syndrome (HNPCC)60may account for at least 2% of cases and confer up to a 20% lifetime risk48,61-64. Women with mutations in DNA repair genes, such as BRIP1, RAD51C, and RAD51D have estimated lifetime risks of 5.8%, 5.2%, and 12%, respectively65,66. Deleterious mutations in BRCA1/2 and other double-strand DNA break repair genes are more strongly associated with HGSOC susceptibility although they do occur in other tumor subtypes65-67. HNPCC associated OC typically presents as endometrioid or clear cell tumors rather than the common serous subtype68,69.

Collectively, known syndromes account for 36% of OC familial relative risk70. Genome-wide association studies71-80have discovered 22 susceptibility alleles for invasive OC with weak to moderate effects in European populations (Table 1). Eighteen of these risk loci are associated with all and/or serous OC, five are associated with MOC risk, one is associated with ENOC, and one is associated with CCOC, exemplifying the genetic heterogeneity by histotype. In addition, a large-scale pooled analysis of genome-wide association studies of ovarian, breast, and prostate cancers identified five novel loci81. The identified common risk alleles account for approximately 4% of the polygenic risk in the European population and, taken together with high risk alleles, explain 40% of the heritability82. Chen et al.83conducted a genome-wide association study of 4,464 Han Chinese women that identified two novel loci (9q22.33 and 10p11.21) and evidence that four loci previously reported in European populations (3q25, 17q12, 17q21, and 19p13.11) may also influence risk.

Risk factors and preventive factors

Hormonal and reproductive risk factors

Epidemiological research has clearly implicated hormonal and reproductive factors in the pathogenesis of OC. Two predominant hypotheses have emerged to fit the data84. The‘incessant ovulation’ hypothesis posits that the number of ovulatory cycles increases the rate of cellular division associated with the repair of the surface epithelium after each ovulation, thereby increasing spontaneous mutations85. The correlation between increasing numbers of lifetime ovulations and higher risk86-89are consistent with this hypothesis. The ‘gonadotropin hypothesis’ attributes the impact to gonadotropins, such as luteinizing hormone and follicle-stimulating hormone90. Both of these proposed mechanisms provide a framework to interpret the epidemiologic data on both endogenous correlates of reproductive hormone exposure and exogenous sources of hormones. A more detailed review is available by Riman et al.91.

Age at menarche and age at menopause

According to the incessant ovulation hypothesis, early age at menarche and late age at menopause increases risk by increasing the number of ovulatory cycles. Conversely, according to the gonadotropin hypothesis, a late age at menopause delays the surge of post-menopausal gonadotropin hormones, possibly reducing risk. Results of studies that have examined the age at onset of menses are not terribly consistent92-102. One study among Chinese women reported lower risk with late age at menarche (after age 18)103, while another study observed a slight increased risk with late age at menarche104. Additional research has failed to clarify the literature85,93,105-112although a meta-analysis yielded an overall inverse association with age at menarche (RR=0.85, 95% CI: 0.75–0.97)113. Data on age at natural menopause and OC risk are also inconsistent. Case-control studies have reported odds ratios ranging from 1.4 to 4.6 in the highest category of age at menopause92,93,95,99,103,104,108. In the

European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, age at menopause (＞52 vs. ≤45 years) was associated with an increased risk (HR=1.57, 95% CI: 1.16–2.13); however after women diagnosed with OC within the first two years of follow-up were excluded the risk was slightly attenuated and marginally statistically significant (HR=1.40, 95% CI: 0.98–2.00)109. The authors speculated that older women in the sub-clinical stage of OC may mistake bleeding for menses. Other case-control studies98,100,106,107,114-116and several cohort studies101,105found no association. The inconsistent findings with ages at menarche and menopause may reflect differences in definitions, recall and misclassification bias, or differences in analysis117. The etiologic heterogeneity of tumor subtypes may also contribute to differential findings. A report from the Nurses’ Health Study (NHS) and NHS II found that age at natural menopause was associated with an increased risk of endometrioid tumors (RR=1.13, 95% CI: 1.04–1.22), but not serous invasive or mucinous tumors29. Studies conducted among populations with different distributions of age at menarche99,111,118and age at menopause119indicate differences in the genetic heritability of these factors across ancestral groups120-122. Regardless, the available evidence suggests that any magnitude of effect is likely small.

Table 1 Common, low penetrance alleles associated with epithelial OC susceptibility

Parity and infertility

The association between pregnancy and OC risk has been studied extensively. Pregnancy causes anovulation and suppresses secretion of pituitary gonadotropins and is thus consistent with both the ‘incessant ovulation’ and the ‘gonadotropin’ hypotheses. Indeed, parous women have a 30%-60% lower risk than nulliparous women85,92,99,103-107,115,117,123-126and each additional full-term pregnancy lowers risk by approximately 15%98,105,127. Studies in African American128and Asian129,130populations have yielded similar results. The protective effect associated with parity is evident across the main histotypes although perhaps slightly weaker for serous carcinomas, with roughly 20% lower risk in parous women, versus other subtypes, particularly clear cell and endometrioid that show 50%–70% reductions in risk28-30,131,132. Comparable to the breast cancer literature, case-control studies with hospital controls have reported elevated risk with late age at first birth (＞30 years of age)92,97,98,106,108,123,133-136, but not among studies with population controls96,98,137. Recent data also suggests that OC risk does not vary by the time interval between the first and last birth138.

It is unclear whether spontaneous or induced abortions impact OC risk. About half of the published studies found that an increased number of incomplete pregnancies may slightly decrease risk85,92,97,98,104,105,139-141while others have reported risk to be increased107,126, or not affected96,99,100,102,106,115,123,125,142. Induced abortions have been associated with lower risk in several studies105,140,141, but not others96,108,139. With regard to spontaneous abortions, positive100,123,139, inverse102, and null associations103,125,140with risk have been reported. Interpretation of this literature is difficult because of the recognized potential for recall bias Should be 'abortions' here not pregnancies but better to end at recall bias.143.

Infertility is a term that is used to describe a heterogeneous group of biologically distinct conditions ranging from genital tract infections and tubal disturbances to medical conditions such as endometriosis and polycystic ovarian syndrome (PCOS)144,145. Infertility appears to be a risk factor in most studies92,98,102,106,115,123,125,126,136,144, but not all105,146. The inconsistent results may reflect the failure to examine the various types of infertility separately. It is yet to be determined whether nulliparity and low parity per se, rather than difficulty becoming pregnant due to female infertility, is the relevant factor. Infertility seems to pose the greatest risk among women who remain nulliparous, while periods of temporary infertility among parous women are of little concern92,98,102,106,125. For example, in a large Canadian casecontrol study in which most nulliparous women were so by choice, infertility was not associated with risk among parous women but there was a trend towards elevated risk among a small group of infertile nulliparous women (OR=2.5, 95% CI: 0.6–4.1)102. A particular challenge is trying to distinguish an influence of infertility from an adverse effect of fertility drug exposure. Although some studies report that women with a prior history of fertility drug use who remain nulliparous are at an elevated risk for ovarian tumors, particularly tumors of LMP98,147, the results are not consistent144-146,148-150. Early detection bias may explain the discrepant findings, as early-stage cancers may be overdiagnosed in infertile women due to the close medical surveillance151. Further muddying of the water is caused by factors that may influence both infertility and OC risk such as a personal history of endometriosis152-154, PCOS155, and BRCA1 mutations156.

Lactation

Lactation suppresses secretion of pituitary gonadotropins and leads to anovulation, particularly in the initial months after delivery157. Both the incessant ovulation and gonadotropin hypotheses would predict lactation reduces the risk of OC. In fact, most studies indicate a slight protective effect from breastfeeding, with odds ratios approximating0.6–0.798,99,102,124-126,158-161, although some have not96,100,115. Few studies have explored the association by tumor subtype, with one report of the greatest risk reduction for endometrioid tumors162while another observed the strongest reduction among mucinous cancers30. A recent meta-analysis indicates a significant protective effect (summary RR=0.68, 95% CI: 0.61–0.76) for breastfeeding that increased with longer duration (summary RR=0.85, 0.73, and 0.64 for ＜6 months, 6–12 months, and ＞12 months of total breastfeeding duration)163. Thus, lactation protects against epithelial OC, especially for long-term duration.

Benign gynecologic conditions and gynecologic surgery

Several gynecologic conditions have been examined as risk factors for OC, including PCOS, endometriosis, and pelvic inflammatory disease (PID). PCOS is a multi-factorial disease often characterized by obesity, hirsutism, infertility, and menstrual abnormalities. Due to unopposed endogenous estrogen and/or elevated androgens, women with PCOS have an increased risk for endometrial cancer. The association between PCOS and OC risk was investigated using data from the Cancer and Steroid Hormone Study, a population-based case-control study155. Among 476 histologically confirmed epithelial OC cases and 4,081 controls, 7 cases (1.5%) and 24 controls (0.06%) reported a history of PCOS (OR=2.5, 95% CI: 1.1–5.9)155. The limited data was insufficient for a consensus statement that PCOS is a risk factor164. Larger studies that adjust for potential confounders are clearly needed.

Endometriosis is one of the most common gynecological disorders, affecting 10%–15% of women in reproductive years165. Despite being considered a benign condition, endometriosis has been linked with OC in the medical literature since 1925. Sayasneh and colleagues165conducted a systematic review of eight studies; seven reported an increased risk of OC, with effect sizes ranging from 1.3 to 1.9. The strongest associations with endometriosis are evident among endometrioid and clear cell histologies30,165,166, consistent with molecular data that supports endometrial epithelium as the origin of these subtypes8. In addition, Pearce and colleagues167identified an increased risk of lowgrade serous OC (OR=2.11, 95% CI: 1.39–3.20) among women with endometriosis as well as for endometrioid (OR=2.04, 95% CI: 1.67–2.48) and clear cell cancers (OR=3.05, 95% CI: 2.43–3.84). The authors speculated that the processes of endometriosis and endosalpingiosis may result from a similar underlying host susceptibility to implantation of exfoliated Müllerian epithelial cells from both the endometrium and fallopian tube. The association between endometriosis and endometrioid and clear cell ovarian carcinomas may represent shared risk factors165, genetic susceptibility168, and/or pathogenesis169rather than a causal association.

PID causes inflammation of the endometrium, fallopian tubes, and ovaries. Studies evaluating the association between PID and OC risk have yielded inconsistent results103,170-172. Lin and colleagues173evaluated this association in a large nationwide cohort from Chinese Taiwan that included 67,936 women with PID (42 of whom later developed OC) and 135,872 women without a history of PID (48 of whom developed OC). A history of PID was a significant risk factor (adjusted HR=1.92, 95% CI: 1.27–2.92), especially among subjects diagnosed with PID before the age of 35 and women who had at least 5 episodes of PID. Other studies found no association171,172. In the Danish MALOVA (MALignant OVArian tumor) case-control study of 2,300 women, PID history was associated with increased risk of ovarian borderline tumors but not with invasive OC174. Rasmussen et al.175further evaluated borderline ovarian tumors in a cohort of over 1.3 million Danish women and found that history of PID was associated with an 85% increased risk of serous borderline tumors but not those of the mucinous subtype. In previous studies of PID and OC risk, some only considered invasive tumors103,108,173whereas others included both invasive and borderline tumors172perhaps contributing to the inconsistent findings. There is no evidence that risk associated with PID history varies by histotype of invasive ovarian carcinomas172,174.

Several gynecologic procedures appear to influence the risk for OC. It is well established that among high risk women, bilateral prophylactic oophorectomy decreases risk by at least 90%176. Numerous studies have identified a reduced risk associated with either a hysterectomy or tubal ligation ranging from 30%–40%92,102,177-183with the highest risk reductions observed among endometrioid and clear cell histotypes30,181,184-187. Furthermore, the risk reduction from these procedures appears to last for at least 10–15 years, which argues against screening bias (due to selective removal of subclinical ovarian tumors)116,178,188,189. Although it is unknown how these procedures reduce the risk of OC, it has been proposed that through retrograde menstruation (i.e. menstrual fluid flows backwards into the fallopian tubes instead of leaving the body through the vagina) endometrial tissue implants on peritoneal and ovarian surfaces (endometriosis) and becomes invasive, developing into endometrioid or clear cell ovarian carcinomas13,190. Indeed,this hypothesis is supported by epidemiological studies that show the strongest associations with tubal ligation and endometriosis for ENOC and CCOC.

Oral contraceptives and other forms of contraception

The epidemiological literature over the past several decades has consistently reported that use of oral contraceptives is inversely associated with the risk of OC. The protective effect increases with longer duration of use98,102,191-195with about a 20% decreased risk for each 5 years of use that persists decades after use has ceased115,124,193,196-200. Moreover, the risk reduction does not appear to be specific to any particular oral contraceptive formulation195,201or OC histotype, although oral contraceptive use appears less effective for mucinous cancers in some studies23,27,28,30,118,131,200. Oral contraceptive use corresponds to the prevention of approximately 30,000 OC cases every year and has already prevented an estimated 200,000 OC cases and 100,000 deaths over the last 50 years200. Progestin-only contraceptives have been less studied, mostly due to the low prevalence of use, but the available data suggest they may also lower risk of OC124,193,202.

Relatively few studies have examined methods of contraception other than oral contraceptives. The use of an intrauterine device (IUD) has been associated with reduced OC risk in several studies182,203,204while the NHS cohort observed increased risks205, however, there was a low prevalence of IUD use in that population which occurred prior to the newer IUD formulations. Similar to oral contraceptives, any protective effect associated with IUD use may be dependent upon duration of use. Huang and colleagues203evaluated IUD use and OC risk in the Shanghai Women’s Health Study cohort and found long-term IUD use of at least 20 years was associated with a 38% reduction in risk. IUD use is the most common contraceptive method in China with a prevalence rate of about 50% among women of reproductive age206. The authors propose that the high prevalence of long-term IUD use and the associated strong protective effect may contribute to the low incidence of OC observed in China203. Vasectomy has been evaluated in association with OC risk and findings have been inconclusive205, although Ness and colleagues182reported that vasectomy may confer a small reduction in risk (adjusted OR=0.77, 95% CI: 0.61–0.99), perhaps due to reduced exposure to sperm. Given that contraceptive methods are modifiable, further research to replicate these findings is needed. Additionally, research is needed to elucidate how different types of contraception influence OC risk, especially by histotype.

Hormone replacement therapy (HRT)

Unlike oral contraceptive use that has a well-established benefit on OC risk, the association with HRT is less clear. HRT reduces the secretion of gonadotropins and should therefore decrease risk, but the reduced levels are still higher than pre-menopausal women207. Conversely, postmenopausal HRT may enhance estrogen-induced proliferation of ovarian cells and therefore increase risk208. Initial studies on the topic have focused on unopposed estrogen therapy (ET) among postmenopausal women. Several case-control98,209,210, cohort211and meta-analysis212,213studies have found no association with duration of use, although two have observed either a significant or suggestive trend in increased risk23,214. More recent studies indicate that OC risk is increased in ever users of HRT215-218and larger increases are seen for longer durations of use219-223. For example, in the NHS cohort both current and past HRT users of five or more years had a significantly higher risk than never users (RR=1.41, 95% CI: 1.07–1.86 and RR=1.52, 95% CI: 1.01–2.27, respectively), but no association with risk was seen for users of less than five years for either current or past users (RR=1.01, 95% CI: 0.70–1.44 and RR=0.88, 95% CI: 0.64–1.19, respectively)219. The authors concluded that the elevated risk appeared to be driven largely by duration rather than by status of use. Conversely, a collaborative re-analysis of 52 epidemiological studies found OC risk was increased in current HRT users, even those with less than 5 years of use224. Furthermore, risk decreased over time after cessation of use, although a small excess in risk was still observed even 10 years after stopping long duration HRT.

Combined estrogen and progestin use and OC risk have only recently been evaluated in studies with sufficient statistical power. It has been hypothesized that progestin promotes apoptosis while estrogen promotes proliferation of ovarian epithelial cells225thus the effects of unopposed ET are thought to be more detrimental to the ovaries than estrogen plus progestin (EPT)225. Most studies that investigated EPT use and OC risk have found no association or a weak protective association118,215,216,218,219,222,225-227. A few prospective studies215,221,228and meta-analysis217have reported a small increased risk for EPT users compared to ET only users. For example, a recent meta-analysis of 14 population-based studies concluded that ET is associated with a 22% increased risk of OC per 5-year increment of use; however, the risk among women who used EPT was attenuated to only a 10% increase216. The authors suggest that the addition of progestin mitigates the effect of estrogen,because the increased risk among EPT users was statistically significantly lower than the risk among ET users (P=0.004)216. However, several prospective cohort studies observed similar increased risks for both ET and EPT users224,228. The basis for the inconsistent literature is not readily apparent.

Some studies have indicated that any HRT-associated risk is limited to specific histologic subtypes. For example, in the NHS the increased risk was slightly stronger for endometrioid tumors and was not present for mucinous tumors, consistent with other studies29,30,131,210,229. Endometrioid tumors are histologically similar to endometrial tissue230and ET use increases the risk of endometrial cancer208, enhancing plausibility.

The available data indicates that HRT is a risk factor for OC. The magnitude may be moderate, but women should be counseled about the potential dangers of long-term use, particularly for unopposed ET. Although large-scale reductions in hormone therapy have occurred since reports of negative health effects from the Heart and Estrogen/Progestin Replacement Study (HERS) and the Women’s Health Initiative (WHI)231, approximately 12% of women over 40 still take HRT for menopausal symptoms232,233totaling some 6 million women in the USA and UK alone224. Given the prevalence of HRT and that many women take HRT several years before the peak agespecific incidence of OC, even a small change in risk may have a significant impact on OC rates at the population level.

Obesity

In postmenopausal women the predominant source of circulating estrogens is aromatization of androgens in adipose tissue84,234. The compelling role of obesity in the pathogenesis of hormone-related cancers, such as endometrial and post-menopausal breast cancers235, has prompted research on the potential association with OC236. One measure of great interest is body mass index (BMI), calculated as weight in kilograms divided by height in meters squared. A 2007 meta-analysis of 28 population studies reported an increased risk of OC for overweight women (BMI of 25–29.9 kg/m2) and obese women (BMI ≥ 30 kg/m2) compared with normal weight (BMI of 18.5–24.9 kg/m2), pooled RR=1.2 and 1.3, respectively237. In a 2008 analysis of 12 prospective cohort studies, an increased risk was seen among pre-menopausal obese women compared to normal weight women (RR=1.72; 95% CI: 1.02–2.89); however, this increased risk was not apparent among post-menopausal women (RR=1.07; 95% CI: 0.87–1.33)238. A more recent analysis of 12 case-control studies by the Ovarian Cancer Association Consortium (OCAC) also found that the positive association with BMI was stronger among pre-menopausal women239. Conversely, the EPIC cohort study observed the strongest risk associations for measures of adiposity (BMI and weight) among post-menopausal women240. In the NHS, greater hip circumference, a measure of fat distribution, was a risk factor among post-menopausal women, but waist-tohip ratio, waist circumference and BMI were not241.

Several studies have evaluated obesity and OC risk stratified by HRT use239-244. The results for BMI did not differ by HRT use in the OCAC analysis, NHS, or EPIC study. In contrast, three studies observed an increased risk only for obese women that have never used HRT [RR 1.8 (95% CI: 1.2–2.8)242and RR=1.10 (95% CI: 1.07–1.13)244] and for never HRT users with greater weight gain since age 18 (RR=1.8; 95% CI: 1.0–3.0 for ≥40 lbs. vs. stable weight), a larger waist circumference (RR=1.8; 95% CI: 1.1.–3.0 for ≥35 vs. ＜35 inches) and a larger waist-to-height ratio (RR=1.8; 95% CI: 1.1.–3.1 for ≥35 vs. ＜35 inches)243.

The risk associated with obesity may be specific to nonserous and low-grade serous subtypes. Two large-scale pooled analyses, one performed by OCAC239and another by the Collaborative Group on Epidemiological Studies of Ovarian Cancer244, observed the strongest risk increases for borderline serous tumors (OR/RR=1.24 and 1.29 per 5 kg/m2, respectively) and somewhat lower increases for clear cell (OR/RR=1.06 and 1.05 per 5 kg/m2), mucinous (OR/RR=1.19 and 1.15 per 5 kg/m2), and endometrioid (OR/RR=1.17 and 1.08 per 5 kg/m2) tumors. Overall, serous tumors were not associated with an increased risk in either study, however, the OCAC analysis included stratification by tumor grade and found an increased risk for low-grade serous tumors only (OR=1.13 per 5 kg/m2). OCAC confirmed these findings in a later Mendelian randomization study where genetically predicted BMI was associated with an increased risk for non-high-grade serous subtypes only (OR=1.29; 95% CI: 1.03–1.61 per 5 BMI units) and the strongest increase was observed for low-grade serous tumors (OR=1.93; 95% CI: 1.33–2.81)245. An increased risk for OC has been observed between waist-to-hip ratio and risk of mucinous tumors (HR per 0.05 unit increment=1.19; 95% CI: 1.02–1.38), but not with serous, endometrioid, or clear cell tumors240. The large prospective NIH-AARP Diet and Health Study reported obese women had elevated risk of endometrioid OC (RR=1.64; 95% CI: 1.00–2.70), but not for serous131. Similarly, in the NHS, obesity was associated with increased endometrioid risk29; however, in a systematic review only the pooled analysis and one case-control studyfound BMI to be associated with an increased risk of endometrioid OC237.

In summary, elevated BMI appears to increase risk of OC. Since adiposity is a modifiable risk factor for OC, other cancers and other chronic diseases, weight control is prudent.

Diet and nutrition

Despite numerous analytical epidemiological studies, whether diet affects risk of OC is largely unresolved. The notable exception is intake of vegetables, for which the evidence that higher intakes are associated with lower risk is emerging246and to a certain extent also for consumption of whole grain foods and low-fat milk. Associations with specific fats and oils, fish and meats and certain milk products are inconsistent and no firm conclusions can be made. Recently, the EPIC cohort study and Netherlands Cohort Study performed a nutrient-wide association analysis evaluating 28 foods/food groups and 29 nutrients by dietary questionnaires from 430,476 women including 1,522 incident OC cases. Meta-analysis of the two cohort studies found that women with a high intake of saturated fats had elevated risks (HR=1.21, 95% CI: 1.04–1.41). Studies on meat consumption are not consistent247-249. A large prospective study found that women in the highest intake quartile of dietary nitrate had an increased risk of OC (HR=1.31, 95% CI: 1.01–1.68, and P=0.02). Similarly, the association between coffee and tea intake is inconclusive104,108,250-256.

Although the majority of vitamin D is produced in the skin from UV-B exposure257, it is also partly obtained from our diet or dietary supplements. Vitamin D is converted to 25-hydroxyvitamin [25(OH)D] in the liver and metabolized to the active form in the kidney. 1, 25-dihydroxyvitamin D [1, 25(OH)2D3] is involved in bone metabolism, modulation of the immune response, and regulation of cell proliferation and differentiation257,258. Experimental studies have shown that 1, 25(OH)2D3inhibits cell proliferation in OC cell lines and induces apoptosis259. However, epidemiological evidence that vitamin D status influences OC risk is inconsistent. One systemic review concluded that there is no strong evidence that vitamin D decreases risk260and a meta-analysis of ten longitudinal studies261as well as other cohort studies262reached a similar conclusion. In the meta-analysis the protective effect was evident in seven of the ten studies and the pooled estimate was a 17% reduced risk with increasing 25(OH)D levels; however, the pooled estimate was not statistically significant (RR = 0.83, 95% CI: 0.63–1.08)261. To address the conflicting findings from observational studies, a recent Mendelian randomization study263of almost 32,000 European women was conducted and found single nucleotide polymorphisms (SNPs) associated with circulating vitamin D levels were associated with an increased risk of OC (OR=1.27; 95% CI: 1.06–1.54). The beneficial effect of vitamin D may be more pronounced among overweight or obese women259,264perhaps reflecting differential bioavailability of circulating 25(OH)D levels259.

A complementary approach has been to examine SNPs in the vitamin D receptor, which mediates the biological activity of the active form of vitamin D and interacts with other cellsignaling pathways258,265,266. The vitamin D receptor polymorphism FokI is among the most extensively studied and several studies have observed an increased OC risk among carriers267,268. Associations with other common vitamin D receptor variants, BsmI, ApaI, and TaqI, and OC risk remain controversial269. Prescott and colleagues270investigated all vitamin D receptor variants genotyped as part of a GWAS stratified by predicted 25(OD)D scores (high vs. low) derived from known determinants of serum 25(OH)D270. There was evidence that OC risk was increased for minor allele carriers of rs731236 (OR=1.31) and rs7975232 (OR=1.83) among women with high predicted 25(OH)D but these findings require replication.

Exercise and physical activity

The general health benefits of exercise are well established and a specific effect on OC might be expected, at least indirectly, through the resulting reduction of adipose tissue (and therefore estrogen levels), lower ovulation frequency, and reduced chronic inflammation271. To date, 29 epidemiological studies have investigated physical activity and OC risk, including fourteen prospective cohort studies272-285, two historical cohort studies286,287, ten population-based case-control studies252,288-296and three hospital-based case-control studies297-299. Results are not entirely consistent, but a 2007 meta-analysis estimated a nearly 20% lower risk for the most active women compared to the least active (pooled relative risk=0.81, 95% CI: 0.72–0.92)292. Most studies that measured physical activity across the lifespan reported consistent null findings278,279,282,290,292or risk reductions252,289,291,297in each age period. Similarly, prolonged sedentary behavior278, high levels of total sitting duration283,285,300, and chronic recreational physical inactivity295have all been noted to increase risk. The benefit of physical activity does not appear to vary by histological type285,295but there are insufficient data to draw firm conclusions291,294. Although further research can refine the picture, when considering the additional benefits of exercise on weight control, bonedensity, and heart disease, the promotion of regular activity should be encouraged.

Other lifestyle and environmental factors

Cigarette smoking

The majority of early reports concluded that smoking was not a risk factor125,253,301,302. Results from more contemporary studies suggest this is most likely because analyses were not conducted separately for histologic subtypes. Indeed, smoking appears to increase the risk for mucinous OC in a dose-response manner, but not other subtypes22,26,30,303. In 2012, a meta-analysis of 51 epidemiological studies concluded that current smokers have a 50% increase in invasive mucinous OC risk and an over two-fold increase in borderline mucinous OC risk (summary RR=2.25, 95% CI: 1.64–3.08) compared to never smokers, but no increased risk of serous (0.96, 95% CI: 0.87–1.06) or clear cell (0.80, 95% CI: 0.63–1.01) cancers and lower risk of endometrioid cancers (0.82, 95% CI: 0.71–0.95)304. In another meta-analysis, the risk of mucinous cancer increased in a dose-response relationship with amount smoked, but returned to that of never smokers within 20–30 years of stopping smoking305. Histologically, mucinous ovarian tumors resemble mucinous gastrointestinal cancers, some of which (pancreatic gastric, and colorectal cancers) have also been associated with smoking305,306. Collectively, these findings suggest that risk of OC is one more reason to avoid cigarette smoking.

Alcohol consumption

Alcohol consumption increases circulating concentrations of androgens, estrogens, and other sex hormones in serum and urine and has been linked to increased risk of breast cancer307,308. Studies of alcohol use and OC are inconsistent, with null associations99,125,252,253,309-312, evidence for increased risk104,313,314and decreased risk315-317. There have been efforts to resolve the observed inconsistency by quantifying risk by the type of alcohol consumed (wine, beer, or alcohol)314,315,318, histologic subtype of the tumor314,315,317, or by other potential modifiers such as dietary fiber intake319. In a large population-based case-control study320, consumption of beer (not liquor or wine) during early adulthood (20–30 years of age) was associated with a moderately increased risk of invasive OC, with the association limited to serous tumors (OR=1.52, 95% CI: 1.01–2.30), though results for other histological subtypes were based on sparse data. This risk was associated with regular consumption (1 or more drinks per day), and there was no evidence of a dose response relationship. Data from the Netherlands Cohort Study on Diet and Cancer found no risk association with alcohol consumption in the form of wine, beer, or liquor321. A pooled analysis of 10 cohort studies that included over 500,000 women and 2,001 incident OC cases also observed no risk association with total alcohol intake (pooled multivariate RR=1.12, 95% CI: 0.86–1.44 comparing ＞ 30 to 0 g of alcohol per day) or alcohol intake from wine, beer, or spirits322. There was no association (OR=1.13, 95% CI: 0.92–1.38) between wine consumption and OC risk in a recent meta-analysis of 10 studies (3 cohort and 7 casecontrol studies) with 135,871 women, including 65,578 wine drinkers323. Based on these data, it seems reasonable to conclude that if alcohol intake does influence risk of OC, the magnitude is small and possibly limited to particular histologic subtypes.

Asbestos and talcum powder

Both human324,325and animal studies326have found asbestos fibers in the ovaries. However, a link between asbestos exposure and OC has not been firmly established, partly due to small numbers of exposed women and disease misclassification (i.e. peritoneal mesothelioma, an asbestosrelated disease, is often misdiagnosed as OC on death certificates). A systematic review and meta-analysis of fourteen cohort and two case-control studies327noted a statistically significant 75% excess risk of OC in women who had been exposed to asbestos (effect size=1.75, 95% CI: 1.45–2.10). However, the association was attenuated (effect size=1.29, 95% CI: 0.97–1.73) among studies that examined cancer incidence based upon pathologically confirmed cases327. Despite the lack of consistency, the International Agency for Research on Cancer (IARC) has declared that evidence is ‘sufficient’ in humans that exposure to asbestos causes OC328.

Similar to asbestos, talcum powder is a silicate that has been studied extensively in relation to cancer risk with inconsistent results. While mechanistic, pathology, and animal studies do not support evidence for the carcinogenicity of talc on the ovarian epithelium329, epidemiological studies have indicated an association with talc use and increased OC risk. In 2006, a meta-analysis of 21 studies330reported an approximately 35% increase in risk with genital exposure to talc and an earlier meta-analysis had similar findings331. However, more recent studies have continued to report conflicting results. In 2014, the Women’s Health Initiative reported a null association among a cohort of 61,576 post-menopausal women. Cramer and colleagues332conducted a retrospective case-control study that observedincreased risk among talc users similar to those previously reported (OR=1.3, 95% CI: 1.16–1.52), particularly among serous and endometrioid cancers. The study also found that risk was greatest among pre-menopausal women and in postmenopausal women who used hormonal therapy, suggesting estrogen plays a role in the association. In addition, genetic studies suggest that women with certain variants in glutathionine S-transferase M1 (GSTM1) and/or glutathionine S-transferase T1 (GSTT1) may have a higher risk of OC associated with talc use333. Based on the available evidence, in 2006 the IARC classified genital talc use as possibly carcinogenic to humans334.

Drug use

Epidemiological evidence linking PID and endometriosis to increased OC risk suggests inflammation plays an important role in ovarian carcinogenesis. In addition, animal and in vitro studies suggest aspirin inhibits the growth of OC335-337. Several prospective338,339and case-control340-344studies have observed an inverse association between aspirin and nonsteroidal anti-inflammatory drugs (NSAIDS) and OC incidence, though other studies have reported no association345,346. Prizment and colleagues339investigated these drugs using data from a prospective cohort of approximately 20,000 women from the Iowa Women’s Health Study. Compared to women who reported no use of aspirin, the relative risks of OC for those who used aspirin ＜2, 2–5 times, and ≥ 6 times per week were 0.83, 0.77, and 0.61, respectively (P=0.04) but no association was observed between NSAID use and risk. Conversely, in the NHS I and II338regular use of NSAIDS was protective (HR=0.81, 95% CI: 0.64–1.01) but aspirin use was not (HR=1.11, 95% CI: 0.92–1.33). No dose-response relationship with increased frequency or duration of use was observed, and results did not differ when stratifying by tumor histology338. A recent pooled analysis of 12 case-control studies in the OCAC340found aspirin use was associated with a reduced risk of OC (OR=0.91, 95% CI: 0.84–0.99), especially among daily users of low-dose (＜100 mg) aspirin (OR=0.66, 95% CI: 0.53–0.83). Thus, the same aspirin regimen prescribed to protect against cardiovascular events and other cancers (e.g. colorectal cancer) could reduce the risk of OC by 20%–34%340.

A growing body of evidence supports a role for the antidiabetic agent, metformin, in the prevention and treatment of multiple cancers347. A case-control study including 1,611 incident OC cases was performed using the UK-based General Practice Research Database348. Long-term use (≥ 30 prescriptions) of metformin (and not sulfonylureas or insulin) was associated with a trend towards reduced risk (OR=0.61, 95% CI: 0.30–1.25), but the results were not statistically significant. Additional studies have observed decreased incidence and mortality among metformin treated groups349. Given the absence of good screening tests, the potential for use of metformin as a chemopreventive agent merits further exploration.

Conclusions

OC is a leading cause of cancer incidence and mortality worldwide. This review describes the magnitude of the problem and summarizes epidemiological studies that have identified genetic, environmental, and lifestyle factors that may increase and decrease risk of this lethal disease. These factors have likely impacted the diverse patterns and trends of OC incidence and mortality seen across the globe. Increased and earlier use of oral contraceptives has very likely contributed to the declining trends observed in most developed countries while reduced parity and changes in diet and physical activity could play a role in the increasing trends observed in several countries with economic growth.

Most risk factors show substantial heterogeneity across the five histologic subtypes indicating different etiologies, particularly between mucinous and non-mucinous subtypes (Table 2). The fact that risk factor associations support accepted models of pathogenesis for the individual histotypes give weight to causality, although such inference is limited. Mendelian randomization studies, which exclude explanations such as bias, confounding and reverse causality, have inferred a likely causal effect of BMI on risk of non-HGS OC and of vitamin D on risk of invasive and HGS OC. Additional epidemiological studies of instrumental variables and incorporating tumor histopathology are needed to refine effect estimates for histotypes and enhance causal inference.

Although many of the risk factors cannot be modified, reflecting the contribution of genetics and unavoidable exposures, a number of others can be altered. Increasing parity and oral contraceptive use lower risk of OC. The same is probably true, but to a weaker degree, of lactation, regular physical activity and avoidance of cigarettes. An individual’s risk is in part a result of the cumulative effect of exposures. Several risk prediction models for OC have been developed to estimate absolute risk based on one’s risk factor profile350-353. The EPIC study350modeled factors of menopausal status, hormone therapy use, oral contraceptive use, parity, oophorectomy, and BMI and estimated 5- year absolute risks of OC for women aged 68 years varied from 0.10% to 0.24% (lowest 10thpercentile vs. highest 10thpercentile) depending on the factors. Cumulatively, risk factors accounted for a relative risk of 1.8 for women with the average reported age at menopause (50 years old), average duration of hormone therapy use (2 years), and overweight BMI (25 kg/m2). This cumulative relative risk increases to 3.5 for obese (BMI=30 kg/m2) women with later age of menopause (60 years old) and longer hormone therapy use (5 years). Preventive factors accounted for a cumulative relative risk of 0.47 for women with average parity (2 fullterm pregnancies) and oral contraceptive use (5 years) with stronger protection conferred with higher parity and duration of use (RR=0.33, 4 full term pregnancies and 10 years of use). Notably, modifiable factors can mitigate relative risk of unavoidable exposures such as later age of menopause. For example, reducing BMI from 30 to 24 kg/m2, utilizing oral contraceptives for 5 years, and forgoing hormone therapy use, the relative risk of a woman who reaches menopause at 60 is mitigated from 3.5 to 0.99.

Table 2 Summary of the five major epithelial OC histotypes

It is important to emphasize that the established risk factors aside from highly penetrant gene mutations confer neither large increases in risk nor account for all the variability in the incidence of this disease. Thus, additional causes of OC are yet to be identified. Additional research is needed to better understand the heterogeneous etiology of this deadly disease, with a view to better prevention and early detection strategies.

Conflict of interest statement

No potential conflicts of interest are disclosed.

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Cite this article as: Reid BM, Permuth JB, Sellers TA. Epidemiology of ovarian cancer: a review. Cancer Biol Med. 2017; 14: 9-32. doi: 10.20892/j.issn.2095-3941.2016.0084

Thomas A. Sellers

E-mail: Thomas.Sellers@moffitt.org

Received October 11, 2016; accepted November 17, 2016. Available at www.cancerbiomed.org

Copyright © 2017 by Cancer Biology & Medicine