The Imperative for a Triumph-Over-Tragedy Story in Women's Accounts of Undergoing Chemotherapy for Ovarian Cancer

We aimed to examine how women construct their experiences of chemotherapy treatment for ovarian cancer. Through semistructured interviews, we explored the accounts of 18 Australian women about their experiences within a broader cultural imperative-or discourse-to "think positively." By applying a critical realist lens to the analysis, we identified two discursive themes that shaped women's accounts. The "feeling different and managing support" theme highlights the identity challenges women faced because of the lack of formal support for ovarian cancer. Conversely, the theme "women's reconstructions of difficult experiences" illustrates the imperative for women to present a positive story as a way of restoring their position of a lucky and stoic survivor. Such speaking served to mask some of the underlying difficulties that were part of these women's experiences. Health care professionals need to consider looking for the hidden stories of vulnerability that lie beneath the triumphant ones.

Identification of nine new susceptibility loci for endometrial cancer

Endometrial cancer is the most commonly diagnosed cancer of the female reproductive tract in developed countries. Through genome-wide association studies (GWAS), we have previously identified eight risk loci for endometrial cancer. Here, we present an expanded meta-analysis of 12,906 endometrial cancer cases and 108,979 controls (including new genotype data for 5624 cases) and identify nine novel genome-wide significant loci, including a locus on 12q24.12 previously identified by meta-GWAS of endometrial and colorectal cancer. At five loci, expression quantitative trait locus (eQTL) analyses identify candidate causal genes; risk alleles at two of these loci associate with decreased expression of genes, which encode negative regulators of oncogenic signal transduction proteins (SH2B3 (12q24.12) and NF1 (17q11.2)). In summary, this study has doubled the number of known endometrial cancer risk loci and revealed candidate causal genes for future study.

Smoking and Cutaneous Melanoma: Findings from the QSkin Sun and Health Cohort Study

Background: Previous studies suggest that smokers have lower risks of cutaneous melanoma than nonsmokers, but data from population-based prospective studies are scarce. We investigated associations between smoking and melanoma in a cohort study purpose-designed to investigate skin cancer outcomes.Methods: Participants with no prior history of melanoma (n = 38,697) completed a risk factor survey at baseline (2011). Patients were followed through linkage to the cancer registry. We estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between smoking (including intensity, duration, time since quitting) and melanoma using multivariate Cox proportional hazards regression, accounting for death as a competing event.Results: During a mean follow-up of 3.5 years, invasive melanomas developed in 247 participants. Compared with never smokers, former smokers (but not current smokers) had lower risks of invasive melanoma (HR 0.76; 95% CI, 0.57-1.01). Among former smokers, risks were lower with greater quantity of cigarettes smoked (HR 0.75; 95% CI, 0.56-0.98 per 10 cigarettes/day). No association was observed with duration of smoking while longer time since quitting was associated with a relative risk of melanoma that was not significantly different from the null (HR 1.18; 95% CI, 0.91-1.51, for every 10 years since quitting).Conclusions: We observed complex associations between smoking and melanoma, with some suggestion that former smokers had lower risks than never or current smokers. The apparent inverse association among former smokers may be due to residual confounding, although surveillance bias or biological effects cannot be excluded entirely.Impact: Smoking does not increase the risk of cutaneous melanoma. Cancer Epidemiol Biomarkers Prev; 27(8); 874-81. ©2018 AACR.

The association between the inflammatory potential of diet and risk of developing, and survival following, a diagnosis of ovarian cancer

PURPOSE

Inflammation has been implicated in ovarian carcinogenesis. This study evaluated two dietary indices: the Dietary Inflammatory Index (DII®) and the Empirical Dietary Inflammatory Pattern (EDIP), in relation to risk of developing, and survival following, a diagnosis of ovarian cancer.

METHODS

Data came from the Australian Ovarian Cancer Study (1375 cases, 1415 population controls). DII and EDIP scores were computed from dietary information obtained using a semiquantitative food-frequency questionnaire. Logistic regression was used to assess the association between DII and EDIP scores and risk of ovarian cancer and proportional hazards models were used for survival analysis.

RESULTS

A high DII score, reflecting a more pro-inflammatory diet, was associated with a modest increased risk of ovarian cancer [odds ratio (OR) DII score_{Q4 vs.Q1} = 1.31, 95% CI 1.06-1.63, p_trend = 0.014]. Likewise a high EDIP score was associated with an increase in risk of ovarian cancer [OR EDIP score_{Q4 vs.Q1} = 1.39, 95% confidence interval (CI) 1.12-1.73, p_trend = 0.002]. We found no association between DII or EDIP score and overall or ovarian cancer-specific survival.

CONCLUSION

In conclusion, our results suggest that a pro-inflammatory diet modestly increases the risk of developing ovarian cancer.

Coping strategies, trajectories, and their associations with patient-reported outcomes among women with ovarian cancer

OBJECTIVE

Most women with ovarian cancer present with advanced stage disease and face aggressive treatments, recurrence, and possible death, yet little is known about how they cope. Our objective was to identify coping strategies used by women with ovarian cancer and their trajectories of use after diagnosis and to assess if coping trajectories are associated with subsequent anxiety, depression, or quality of life.

METHODS

Women with ovarian cancer completed questionnaires including the Brief-COPE, HADS, and FACT at 3, 6, and 9 months after diagnosis and the HADS and FACT at 12 months. Using data from 634 women who completed the 3-month questionnaire, factor analysis was conducted to identify coping strategy clusters. Trajectory modeling was used to assess patterns of coping over time. Associations between coping trajectory from 3 to 9 months and patient-reported outcomes at 12 months were investigated using general linear models.

RESULTS

Three coping strategy clusters were identified. Use of "taking action/positive framing" followed four distinct trajectories over time: low-stable (44%), medium-stable (32%), medium-decreasing (11%), high-stable (12%). Use of "social/emotional support" had four trajectories: low-increasing (7%), low-decreasing (44%), medium-decreasing (40%), and high-stable (8%). Women either "accepted their reality" (26%) or "used some denial" (74%). Women who accepted reality reported significantly less anxiety and depression and better quality of life at 12 months. Women with high-stable use of taking action/positive framing reported less depression. Women with high-stable use of social/emotional support reported better quality of life.

CONCLUSIONS

Strategies to assist women with acceptance, action-planning, positive-framing, and maintaining psychosocial support should be considered.

Genetic overlap between endometriosis and endometrial cancer: evidence from cross-disease genetic correlation and GWAS meta-analyses

Epidemiological, biological, and molecular data suggest links between endometriosis and endometrial cancer, with recent epidemiological studies providing evidence for an association between a previous diagnosis of endometriosis and risk of endometrial cancer. We used genetic data as an alternative approach to investigate shared biological etiology of these two diseases. Genetic correlation analysis of summary level statistics from genomewide association studies (GWAS) using LD Score regression revealed moderate but significant genetic correlation (rg  = 0.23, P = 9.3 × 10-3 ), and SNP effect concordance analysis provided evidence for significant SNP pleiotropy (P = 6.0 × 10-3 ) and concordance in effect direction (P = 2.0 × 10-3 ) between the two diseases. Cross-disease GWAS meta-analysis highlighted 13 distinct loci associated at P ≤ 10-5 with both endometriosis and endometrial cancer, with one locus (SNP rs2475335) located within PTPRD associated at a genomewide significant level (P = 4.9 × 10-8 , OR = 1.11, 95% CI = 1.07-1.15). PTPRD acts in the STAT3 pathway, which has been implicated in both endometriosis and endometrial cancer. This study demonstrates the value of cross-disease genetic analysis to support epidemiological observations and to identify biological pathways of relevance to multiple diseases.

Adult height is associated with increased risk of ovarian cancer: a Mendelian randomisation study

BACKGROUND

Observational studies suggest greater height is associated with increased ovarian cancer risk, but cannot exclude bias and/or confounding as explanations for this. Mendelian randomisation (MR) can provide evidence which may be less prone to bias.

METHODS

We pooled data from 39 Ovarian Cancer Association Consortium studies (16,395 cases; 23,003 controls). We applied two-stage predictor-substitution MR, using a weighted genetic risk score combining 609 single-nucleotide polymorphisms. Study-specific odds ratios (OR) and 95% confidence intervals (CI) for the association between genetically predicted height and risk were pooled using random-effects meta-analysis.

RESULTS

Greater genetically predicted height was associated with increased ovarian cancer risk overall (pooled-OR (pOR) = 1.06; 95% CI: 1.01-1.11 per 5 cm increase in height), and separately for invasive (pOR = 1.06; 95% CI: 1.01-1.11) and borderline (pOR = 1.15; 95% CI: 1.02-1.29) tumours.

CONCLUSIONS

Women with a genetic propensity to being taller have increased risk of ovarian cancer. This suggests genes influencing height are involved in pathways promoting ovarian carcinogenesis.

Racial/ethnic differences in the epidemiology of ovarian cancer: a pooled analysis of 12 case-control studies

Background

Ovarian cancer incidence differs substantially by race/ethnicity, but the reasons for this are not well understood. Data were pooled from the African American Cancer Epidemiology Study (AACES) and 11 case-control studies in the Ovarian Cancer Association Consortium (OCAC) to examine racial/ethnic differences in epidemiological characteristics with suspected involvement in epithelial ovarian cancer (EOC) aetiology.

Methods

We used multivariable logistic regression to estimate associations for 17 reproductive, hormonal and lifestyle characteristics and EOC risk by race/ethnicity among 10 924 women with invasive EOC (8918 Non-Hispanic Whites, 433 Hispanics, 911 Blacks, 662 Asian/Pacific Islanders) and 16 150 controls (13 619 Non-Hispanic Whites, 533 Hispanics, 1233 Blacks, 765 Asian/Pacific Islanders). Likelihood ratio tests were used to evaluate heterogeneity in the risk factor associations by race/ethnicity.

Results

We observed statistically significant racial/ethnic heterogeneity for hysterectomy and EOC risk (P = 0.008), where the largest odds ratio (OR) was observed in Black women [OR = 1.64, 95% confidence interval (CI) = 1.34-2.02] compared with other racial/ethnic groups. Although not statistically significant, the associations for parity, first-degree family history of ovarian or breast cancer, and endometriosis varied by race/ethnicity. Asian/Pacific Islanders had the greatest magnitude of association for parity (≥3 births: OR = 0.38, 95% CI = 0.28-0.54), and Black women had the largest ORs for family history (OR = 1.77, 95% CI = 1.42-2.21) and endometriosis (OR = 2.42, 95% CI = 1.65-3.55).

Conclusions

Although racial/ethnic heterogeneity was observed for hysterectomy, our findings support the validity of EOC risk factors across all racial/ethnic groups, and further suggest that any racial/ethnic population with a higher prevalence of a modifiable risk factor should be targeted to disseminate information about prevention.

The hidden burden of anxiety and depression in ovarian cancer: A prospective study from diagnosis

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Background: Women with ovarian cancer (OC) report high rates of anxiety (A) and depression (D), but most studies have used a cross-sectional design at a single time-point, not considered prior history and not included affected women who are symptom-free due to medication. Our goals were to quantify (i) the total burden of A and D among women with newly diagnosed OC; the proportions who (ii) experience symptoms only after their OC diagnosis and (iii) with persistent symptoms; and (iv) use of appropriate medication/services by those affected. Methods: The OPAL (Ovarian Cancer Prognosis & Lifestyle) Study is a prospective study of Australian women diagnosed with OC from 2012-15 who agreed to complete questionnaires at baseline, 3, 6, 9, 12, 24, 36 & 48 months after diagnosis. At baseline, they were asked if they had ever been diagnosed with A or D and if they took medication for this in the year before their OC diagnosis. At follow-up they completed the Hospital Anxiety and Depression Scale (HADS) and were asked about current medication use. Results: Of 893 women with data for ≥1 time point, 216 (24%) reported clinical levels (HADS > 10) of anxiety (18%) and/or depression (15%) on at least one occasion during the first 3 years after diagnosis, with another 157 (18%) reporting use of anxiolytic or antidepressant medications. A further 167 (19%) reported subclinical (HADS 8-10) A or D. Of those with clinical levels of A/D and/or taking medication, 225 (60%) reported this at ≥3 time-points, 216 (58%) reported no prior history of A or D, and 271 (73%) reported no use of anxiolytic/antidepressant medication in the year before diagnosis. When women reported clinical levels of A or D, only 45% reported taking medication (37%) and/or seeing a psychiatrist or psychologist (19%). Conclusions: More than 40% of women with OC experienced clinical levels of A or D during treatment or the first 3 years of follow-up, for 25% this persisted. For 24% this was their first experience of distress and > 50% of those affected did not receive appropriate medication or psychological support. The hidden burden of anxiety and depression in this population is much greater than previously reported but is amenable to effective intervention if recognized.

The Ovarian cancer Prognosis And Lifestyle (OPAL) study

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Background: Five-year survival after a diagnosis of ovarian cancer (OC) is < 45% and women often ask what they can do, beyond following the recommended treatment, to improve their chance of survival. The OPAL Study addresses the question of whether lifestyle choices during or after treatment could positively impact quality of life (QoL) and, ultimately, survival. Methods: OPAL is a prospective study of Australian women newly diagnosed with primary OC from 2012-15 who agreed to complete questionnaires at baseline, 3, 6, 9, 12, 24, 36 & 48 months after diagnosis. Baseline data include sociodemographic, reproductive & hormonal, medical & family history, and lifestyle (diet, alcohol, smoking, physical activity, sitting time) information. At follow-up, women are asked about their current lifestyle, medication and complementary therapy use, and a range of patient-reported outcomes including the Hospital Anxiety and Depression Scale, Insomnia Severity Index and FACT instruments for ovarian cancer, neurotoxicity and fatigue. 85% also provided a blood sample at recruitment and/or 12 months after diagnosis. Detailed treatment and outcome data are collected annually from medical records. Results: Of 1451 eligible women identified, 219 were excluded and 274 declined leaving a cohort of 958; 72% have high-grade serous and 72% advanced stage disease. Follow-up is now close to 36 months with questionnaire response rates of 85-95% among active participants. At October 2017, we had received 734, 751, 636, 434 and 225 questionnaires at 6, 12, 24, 36 and 48 months, respectively; women have completed a mean of 5 questionnaires (range 1-8). A total of 558 (58%) have experienced disease progression or recurrence, 332 (35%) have died and 300 are still active in the study. The proportion of women reporting clinical levels of anxiety ranges from 6-9% at each time-point, depression from 5-7%, insomnia from 9-14% and fatigue from 30-57%. Conclusions: This is the first prospective study to collect detailed lifestyle, QoL, clinical and outcome information from a large population-based cohort of women newly diagnosed with OC. It provides a valuable resource to identify relationships between potentially modifiable aspects of lifestyle and outcomes (QoL & survival) in women with OC.

When will I feel normal again? Quality of life trajectories after first-line chemotherapy for ovarian cancer

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Background: Patients often ask if/when they will feel normal again following treatment for ovarian cancer (OC). There is a paucity of data on the trajectories of quality of life (QoL), physical (PWB), social (SWB), emotional (EWB) and functional (FWB) wellbeing over time following chemotherapy and especially regarding those who have persistent problems. Our aim was to quantify the proportion of women with significantly lower QoL/wellbeing than the general population at the end of treatment and determine if/when they return to normal. Methods: The OPAL (Ovarian cancer Prognosis & Lifestyle) Study is a prospective study of Australian women diagnosed with invasive OC from 2012-15 who agreed to complete regular questionnaires after diagnosis. 580 participants who received ≥3 cycles of platinum-based chemotherapy as primary treatment and completed a questionnaire while on or < 6 weeks after completing chemotherapy (baseline) were included. FACT-G data came from questionnaires at baseline and ~3, 6, 9 & 18 months post-baseline. Group-based trajectory models were used to identify groups with distinct patterns of QoL/wellbeing over time. Results: Overall, 44% (254) of women had QoL scores significantly lower than the general population at baseline; 35% (88) returned to normal by 3 months after treatment, 73% by 6 months and 27% (69) had not returned to normal by 18 months. The Table shows the comparable figures for the wellbeing subscales. Conclusions: While > 50% of women with OC can expect similar QoL, FWB and EWB to the general population at the end of chemotherapy, PWB was compromised in 3 of 4 women. For most, wellbeing recovered within 6 months but a substantial proportion reported ongoing deficits. A particularly prolonged impact was seen for those with poor EWB at baseline, warranting early intervention in this subset. [Table: see text]

Endometrial cancer risk and survival by tumor MMR status

Objective

The risk of developing endometrial cancer (EC) and/or survival following a diagnosis of EC might differ by tumor DNA mismatch repair (MMR) status. We assessed the association between tumor MMR status (classified as MMR-proficient, somatic MMR-deficient, germline MMR-deficient) and the risk of developing EC and survival following a diagnosis of EC.

Methods

We analyzed data from women who participated in the Australian National Endometrial Cancer Study (ANECS) conducted between 2005 and 2007. Risk analyses (698 cases/691 population controls) utilized sociodemographic and lifestyle information obtained from telephone interviews at recruitment. For survival analyses (728 cases), patients' clinical data was abstracted from medical records, and survival data were obtained via linkage with the Australian National Death Index. We used logistic regression analysis to evaluate the associations between tumor MMR status and EC risk, and proportional hazards models to perform survival analyses with adjustment of known prognostic factors.

Results

Established risk factors for EC did not differ significantly by tumor MMR status. In analyses including all EC subtypes, overall and EC-specific survival did not differ by tumor MMR status. Among women with the most common endometrioid subtype, EC-specific survival was worse for women with somatic MMR-deficient EC compared to women with MMR-proficient EC (hazard ratio [HR]=2.18; 95% confidence interval [CI]=1.19–4.01).

Conclusion

The risk of EC is not associated with MMR status. Accurate separation of germline from somatic causes of MMR deficiency suggests that patients with endometrioid subtype somatic MMR-deficient tumors have poorer EC-specific survival than those with MMR-proficient tumors, after accounting for other prognostic factors.

Menstrual pain and risk of epithelial ovarian cancer: Results from the Ovarian Cancer Association Consortium

Menstrual pain, a common gynecological condition, has been associated with increased risk of ovarian cancer in some, but not all studies. Furthermore, potential variations in the association between menstrual pain and ovarian cancer by histologic subtype have not been adequately evaluated due to lack of power. We assessed menstrual pain using either direct questions about having experienced menstrual pain, or indirect questions about menstrual pain as indication for use of hormones or medications. We used multivariate logistic regression to calculate the odds ratio (OR) for the association between severe menstrual pain and ovarian cancer, adjusting for potential confounders and multinomial logistic regression to calculate ORs for specific histologic subtypes. We observed no association between ovarian cancer and menstrual pain assessed by indirect questions. Among studies using direct question, severe pain was associated with a small but significant increase in overall risk of ovarian cancer (OR = 1.07, 95% CI: 1.01-1.13), after adjusting for endometriosis and other potential confounders. The association appeared to be more relevant for clear cell (OR = 1.48, 95% CI: 1.10-1.99) and serous borderline (OR = 1.31, 95% CI: 1.05-1.63) subtypes. In this large international pooled analysis of case-control studies, we observed a small increase in risk of ovarian cancer for women reporting severe menstrual pain. While we observed an increased ovarian cancer risk with severe menstrual pain, the possibility of recall bias and undiagnosed endometriosis cannot be excluded. Future validation in prospective studies with detailed information on endometriosis is needed.

Ovarian cancer risk, ALDH2 polymorphism and alcohol drinking: Asian data from the Ovarian Cancer Association Consortium

The aldehyde dehydrogenase 2 (ALDH2) polymorphism rs671 (Glu504Lys) causes ALDH2 inactivation and adverse acetaldehyde exposure among Asians, but little is known of the association between alcohol consumption and rs671 and ovarian cancer (OvCa) in Asians. We conducted a pooled analysis of Asian ancestry participants in the Ovarian Cancer Association Consortium. We included seven case-control studies and one cohort study comprising 460 invasive OvCa cases, 37 borderline mucinous OvCa and 1274 controls of Asian descent with information on recent alcohol consumption. Pooled odds ratios (OR) with 95% confidence intervals (CI) for OvCa risk associated with alcohol consumption, rs671 and their interaction were estimated using logistic regression models adjusted for potential confounders. No significant association was observed for daily alcohol intake with invasive OvCa (OR comparing any consumption to none = 0.83; 95% CI = 0.58-1.18) or with individual histotypes. A significant decreased risk was seen for carriers of one or both Lys alleles of rs671 for invasive mucinous OvCa (OR = 0.44; 95% CI = 0.20-0.97) and for invasive and borderline mucinous tumors combined (OR = 0.48; 95% CI = 0.26-0.89). No significant interaction was observed between alcohol consumption and rs671 genotypes. In conclusion, self-reported alcohol consumption at the quantities estimated was not associated with OvCa risk among Asians. Because the rs671 Lys allele causes ALDH2 inactivation leading to increased acetaldehyde exposure, the observed inverse genetic association with mucinous ovarian cancer is inferred to mean that alcohol intake may be a risk factor for this histotype. This association will require replication in a larger sample.

Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence

There have been recent proposals advocating the use of additive gene-environment interaction instead of the widely used multiplicative scale, as a more relevant public health measure. Using gene-environment independence enhances statistical power for testing multiplicative interaction in case-control studies. However, under departure from this assumption, substantial bias in the estimates and inflated type I error in the corresponding tests can occur. In this paper, we extend the empirical Bayes (EB) approach previously developed for multiplicative interaction, which trades off between bias and efficiency in a data-adaptive way, to the additive scale. An EB estimator of the relative excess risk due to interaction is derived, and the corresponding Wald test is proposed with a general regression setting under a retrospective likelihood framework. We study the impact of gene-environment association on the resultant test with case-control data. Our simulation studies suggest that the EB approach uses the gene-environment independence assumption in a data-adaptive way and provides a gain in power compared with the standard logistic regression analysis and better control of type I error when compared with the analysis assuming gene-environment independence. We illustrate the methods with data from the Ovarian Cancer Association Consortium.

Polycystic Ovary Syndrome, Oligomenorrhea, and Risk of Ovarian Cancer Histotypes: Evidence from the Ovarian Cancer Association Consortium

Background: Polycystic ovary syndrome (PCOS), and one of its distinguishing characteristics, oligomenorrhea, have both been associated with ovarian cancer risk in some but not all studies. However, these associations have been rarely examined by ovarian cancer histotypes, which may explain the lack of clear associations reported in previous studies.Methods: We analyzed data from 14 case-control studies including 16,594 women with invasive ovarian cancer (n = 13,719) or borderline ovarian disease (n = 2,875) and 17,718 controls. Adjusted study-specific ORs were calculated using logistic regression and combined using random-effects meta-analysis. Pooled histotype-specific ORs were calculated using polytomous logistic regression.Results: Women reporting menstrual cycle length >35 days had decreased risk of invasive ovarian cancer compared with women reporting cycle length ≤35 days [OR = 0.70; 95% confidence interval (CI) = 0.58-0.84]. Decreased risk of invasive ovarian cancer was also observed among women who reported irregular menstrual cycles compared with women with regular cycles (OR = 0.83; 95% CI = 0.76-0.89). No significant association was observed between self-reported PCOS and invasive ovarian cancer risk (OR = 0.87; 95% CI = 0.65-1.15). There was a decreased risk of all individual invasive histotypes for women with menstrual cycle length >35 days, but no association with serous borderline tumors (Pheterogeneity = 0.006). Similarly, we observed decreased risks of most invasive histotypes among women with irregular cycles, but an increased risk of borderline serous and mucinous tumors (Pheterogeneity < 0.0001).Conclusions: Our results suggest that menstrual cycle characteristics influence ovarian cancer risk differentially based on histotype.Impact: These results highlight the importance of examining ovarian cancer risk factors associations by histologic subtype. Cancer Epidemiol Biomarkers Prev; 27(2); 174-82. ©2017 AACR.

Current Gaps in Ovarian Cancer Epidemiology: The Need for New Population-Based Research

With recent ovarian cancer screening studies showing no clinically significant mortality benefit, preventing this disease, identifying high-risk populations, and extending survival remain priorities. However, several challenges are impeding progress in ovarian cancer research. With most studies capturing exposure information from 10 or more years ago, evaluation of how changing patterns of exposures, such as new oral contraceptive formulations and increased intrauterine device use, might influence ovarian cancer risk and survival is difficult. Risk factors for ovarian cancer should be evaluated in the context of tumor histotypes, which have unique molecular features and cells of origin; this is a task that requires large collaborative studies to achieve meaningful sample sizes. Importantly, identification of novel modifiable risk factors, in addition to those currently known to reduce risk (eg, childbearing, tubal ligation, oral contraceptive use), is needed; this is not feasibly implemented at a population level. In this Commentary, we describe important gaps in knowledge and propose new approaches to advance epidemiologic research to improve ovarian cancer prevention and survival, including updated classification of tumors, collection of data on changing and novel exposures, longer follow-up on existing studies, evaluation of diverse populations, development of better risk prediction models, and collaborating prospectively with consortia to develop protocols for new studies that will allow seamless integration for future pooled analyses.