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Endometriosis is a risk factor for epithelial ovarian cancer; however, whether this risk extends to all invasive histological subtypes or borderline tumours is not clear. We undertook an international collaborative study to assess the association between endometriosis and histological subtypes of ovarian cancer. Data from 13 ovarian cancer case–control studies, which were part of the Ovarian Cancer Association Consortium, were pooled and logistic regression analyses were undertaken to assess the association between self-reported endometriosis and risk of ovarian cancer. Analyses of invasive cases were done with respect to histological subtypes, grade, and stage, and analyses of borderline tumours by histological subtype. Age, ethnic origin, study site, parity, and duration of oral contraceptive use were included in all analytical models. 13 226 controls and 7911 women with invasive ovarian cancer were included in this analysis. 818 and 738, respectively, reported a history of endometriosis. 1907 women with borderline ovarian cancer were also included in the analysis, and 168 of these reported a history of endometriosis. Self-reported endometriosis was associated with a significantly increased risk of clear-cell (136 [20·2%] of 674 cases vs 818 [6·2%] of 13 226 controls, odds ratio 3·05, 95% CI 2·43–3·84, p<0·0001), low-grade serous (31 [9·2%] of 336 cases, 2·11, 1·39–3·20, p<0·0001), and endometrioid invasive ovarian cancers (169 [13·9%] of 1220 cases, 2·04, 1·67–2·48, p<0·0001). No association was noted between endometriosis and risk of mucinous (31 [6·0%] of 516 cases, 1·02, 0·69–1·50, p=0·93) or high-grade serous invasive ovarian cancer (261 [7·1%] of 3659 cases, 1·13, 0·97–1·32, p=0·13), or borderline tumours of either subtype (serous 103 [9·0%] of 1140 cases, 1·20, 0·95–1·52, p=0·12, and mucinous 65 [8·5%] of 767 cases, 1·12, 0·84–1·48, p=0·45). Clinicians should be aware of the increased risk of specific subtypes of ovarian cancer in women with endometriosis. Future efforts should focus on understanding the mechanisms that might lead to malignant transformation of endometriosis so as to help identify subsets of women at increased risk of ovarian cancer. Ovarian Cancer Research Fund, National Institutes of Health, California Cancer Research Program, California Department of Health Services, Lon V Smith Foundation, European Community's Seventh Framework Programme, German Federal Ministry of Education and Research of Germany, Programme of Clinical Biomedical Research, German Cancer Research Centre, Eve Appeal, Oak Foundation, UK National Institute of Health Research, National Health and Medical Research Council of Australia, US Army Medical Research and Materiel Command, Cancer Council Tasmania, Cancer Foundation of Western Australia, Mermaid 1, Danish Cancer Society, and Roswell Park Alliance Foundation.

Background: The relationship between diet and survival after ovarian cancer diagnosis is unclear as a result of a limited number of studies and inconsistent findings. Methods: We examined the association between pre-diagnostic diet and overall survival in a population-based cohort ( n =811) of Australian women diagnosed with invasive epithelial ovarian cancer between 2002 and 2005. Diet was measured by validated food frequency questionnaire. Deaths were ascertained up to 31 August 2014 via medical record review and Australian National Death Index linkage. We conducted Cox proportional hazards regression analysis, controlling for diagnosis age, tumour stage, grade and subtype, residual disease, smoking status, body mass index, physical activity, marital status, and energy intake. Results: We observed improved survival with highest compared with lowest quartile of fibre intake (hazard ratio (HR)=0.69, 95% CI: 0.53–0.90, P -trend=0.002). There was a suggestion of better survival for women with highest compared with lowest intake category of green leafy vegetables (HR=0.79, 95% CI: 0.62–0.99), fish (HR=0.74, 95% CI: 0.57–0.95), poly- to mono-unsaturated fat ratio (HR=0.76, 95% CI: 0.59–0.98), and worse survival with higher glycaemic index (HR=1.28, 95% CI: 1.01–1.65, P -trend=0.03). Conclusions: The associations we observed between healthy components of diet pre-diagnosis and ovarian cancer survival raise the possibility that dietary choices after diagnosis may improve survival.

ObjectiveMost 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.MethodsWomen 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.ResultsThree 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.ConclusionsStrategies to assist women with acceptance, action-planning, positive-framing, and maintaining psychosocial support should be considered.

Background Tea and coffee are the most frequently consumed beverages in the world. Green tea in particular contains compounds with potential anti-cancer effects, but its association with survival after ovarian cancer is uncertain. Methods We investigated the associations between tea and coffee consumption before diagnosis and survival using data from 10 studies in the Ovarian Cancer Association Consortium. Data on tea (green, black, herbal), coffee and caffeine intake were available for up to 5724 women. We used Cox proportional hazards regression to estimate adjusted hazard ratios (aHR) and 95% confidence intervals (CI). Results Compared with women who did not drink any green tea, consumption of one or more cups/day was associated with better overall survival (aHR = 0.84, 95% CI 0.71–1.00, p -trend = 0.04). A similar association was seen for ovarian cancer-specific survival in five studies with this information (aHR = 0.81, 0.66–0.99, p -trend = 0.045). There was no consistent variation between subgroups defined by clinical or lifestyle characteristics and adjustment for other aspects of lifestyle did not appreciably alter the estimates. We found no evidence of an association between coffee, black or herbal tea, or caffeine intake and survival. Conclusion The observed association with green tea consumption before diagnosis raises the possibility that consumption after diagnosis might improve patient outcomes.

There is substantial evidence suggesting a role for hormone-regulated kallikrein-related peptidases (KLKs) in carcinogenesis and tumour metastasis. KLKs are considered to have potential as prognostic biomarkers for hormone dependent cancers, particularly ovarian cancer. The purpose of this study was to evaluate the association between Kallikrein-related peptidase 3 (KLK3) gene single nucleotide polymorphisms (SNPs) located in hormone response elements and ovarian cancer survival. DNA samples were analyzed from 304 Australian women diagnosed with epithelial ovarian cancer. The KLK3 rs266882 and rs11084033 SNPs were genotyped by the Sequenom iPLEX Mass Array platform. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated using Cox regression models. An association was observed with ovarian cancer survival for homozygote carriers of the rare allele of rs11084033 (adjusted HR 2.12, 95% CI 1.08–4.15). This finding is consistent with bioinformatic analysis predicting the rs11084033 rare allele to be responsible for the loss of a confirmed androgen response element, and with published expression data suggesting that aggressive ovarian cancers show decreased KLK3 tumor expression. The rs11084033 has potential prognostic significance in ovarian cancer. However, this finding requires replication, and further investigation regarding the functional significance of rs11084033 and correlated SNPs.

Background KLK15 over-expression is reported to be a significant predictor of reduced progression-free survival and overall survival in ovarian cancer. Our aim was to analyse the KLK15 gene for putative functional single nucleotide polymorphisms (SNPs) and assess the association of these and KLK15 HapMap tag SNPs with ovarian cancer survival. Results In silico analysis was performed to identify KLK15 regulatory elements and to classify potentially functional SNPs in these regions. After SNP validation and identification by DNA sequencing of ovarian cancer cell lines and aggressive ovarian cancer patients, 9 SNPs were shortlisted and genotyped using the Sequenom iPLEX Mass Array platform in a cohort of Australian ovarian cancer patients (N = 319). In the Australian dataset we observed significantly worse survival for the KLK15 rs266851 SNP in a dominant model (Hazard Ratio (HR) 1.42, 95% CI 1.02-1.96). This association was observed in the same direction in two independent datasets, with a combined HR for the three studies of 1.16 (1.00-1.34). This SNP lies 15bp downstream of a novel exon and is predicted to be involved in mRNA splicing. The mutant allele is also predicted to abrogate an HSF-2 binding site. Conclusions We provide evidence of association for the SNP rs266851 with ovarian cancer survival. Our results provide the impetus for downstream functional assays and additional independent validation studies to assess the role of KLK15 regulatory SNPs and KLK15 isoforms with alternative intracellular functional roles in ovarian cancer survival.

Background: Little is known about modifiable behaviours that may be associated with epithelial ovarian cancer (EOC) survival. We conducted a pooled analysis of 12 studies from the Ovarian Cancer Association Consortium to investigate the association between pre-diagnostic physical inactivity and mortality. Methods: Participants included 6806 women with a primary diagnosis of invasive EOC. In accordance with the Physical Activity Guidelines for Americans, women reporting no regular, weekly recreational physical activity were classified as inactive. We utilised Cox proportional hazard models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) representing the associations of inactivity with mortality censored at 5 years. Results: In multivariate analysis, inactive women had significantly higher mortality risks, with (HR=1.34, 95% CI: 1.18–1.52) and without (HR=1.22, 95% CI: 1.12–1.33) further adjustment for residual disease, respectively. Conclusion: In this large pooled analysis, lack of recreational physical activity was associated with increased mortality among women with invasive EOC.

Purpose Previous epidemiologic studies have shown that smoking, obesity, and physical inactivity are associated with poor survival following a diagnosis of ovarian cancer. Yet, the combined relationship of these unfavorable lifestyle factors on ovarian cancer survival has not been sufficiently investigated. Methods Using data pooled from 13 studies, we examined the associations between combined exposures to smoking, overweight/obesity weight, and physical inactivity and overall survival (OS) as well as progression-free survival (PFS) among women diagnosed with invasive epithelial ovarian carcinoma ( n  = 7,022). Using age- and stage-adjusted Cox proportional hazards regression models, we estimated hazard ratios (HRs) and 95% confidence intervals (CIs) associated with joint exposure to these factors. Results Combined exposure to current smoking, overweight/obesity, and physical inactivity prior to diagnosis was associated with a significantly increased risk of mortality compared to women who never smoked, had normal body mass index (BMI), and were physically active (HR = 1.37; 95% CI 1.10–1.70). The association for a joint exposure to these factors exceeded that of each exposure individually. In fact, exposure to both current smoking and overweight/obesity, and current smoking and physical inactivity was also associated with increased risk of death (HR = 1.28; 95% CI 1.08–1.52, and HR = 1.26; 95% CI 1.04–1.54, respectively). The associations were of a similar magnitude when former smoking was assessed in combination with the other exposures and when excessive weight was limited to obesity only. No significant associations were observed between joint exposure to any of these factors and PFS. Conclusions Joint exposure to smoking, excessive weight, and physical inactivity may negatively impact survival of ovarian cancer patients. These results suggest the importance of examining the combined effect of lifestyle factors on ovarian cancer patients’ survival.

Purpose The relationship between habitual consumption of foods with a high glycemic index (GI) and/or a diet with a high glycemic load (GL) and risk of endometrial cancer is uncertain, and relatively few studies have investigated these associations. The objectives of this study were to examine the association between GI/GL and risk of endometrial cancer using data from an Australian population-based case–control study and systematically review all the available evidence to quantify the magnitude of the association using meta-analysis. Methods The case–control study included 1,290 women aged 18–79 years with newly diagnosed, histologically confirmed endometrial cancer and 1,436 population controls. Controls were selected to match the expected Australian state of residence and age distribution (in 5-year bands) of cases. For the systematic review, relevant studies were identified by searching PubMed and Embase databases through to July 2011. Random-effects models were used to calculate the summary risk estimates, overall and dose–response. Results In our case–control study, we observed a modest positive association between high dietary GI (OR 1.43, 95 % CI 1.11–1.83) and risk of endometrial cancer, but no association with high dietary GL (OR 1.15, 95 % CI 0.90–1.48). For the meta-analysis, we collated information from six cohort and two case–control studies, involving a total of 5,569 cases. The pooled OR for the highest versus the lowest intake category of GI was 1.15 (0.95–1.40); however, there was significant heterogeneity ( p 0.004) by study design (RR 1.00 [95 % CI 0.87–1.14] for cohort studies and 1.56 [95 % CI 1.21–2.02] for case–control studies). There was no association in the dose–response meta-analysis of GI (RR per 5 unit/day increment of GI 1.00, 95 % CI 0.97–1.03). GL was positively associated with endometrial cancer. The pooled RR for the highest versus the lowest GL intake was 1.21 (95 % CI 1.09–1.33) and 1.06 (95 % CI 1.01–1.11) per 50 unit/day increment of GL in the dose–response meta-analysis. Conclusion The pooled results from observational studies, including our case–control results, provide evidence of a modest positive association between high GL, but not GI, and endometrial cancer risk.

Phyto-oestrogens have been suggested to have a protective effect on hormone-sensitive cancers. However, few studies have investigated the association between dietary phyto-oestrogens and gynaecological cancers. In the present study, we analysed data from two population-based case–control studies of ovarian (1366 cases and 1414 controls) and endometrial (1288 cases and 1435 controls) cancers. Dietary intake information was obtained using a 135-item FFQ, and phyto-oestrogen intake was estimated using published food composition databases. Unconditional logistic regression was used to estimate adjusted OR and 95 % CI. In multivariable analyses, there was a suggestive pattern of inverse associations between increasing intakes of total phyto-oestrogens, isoflavones and enterolignans and the risk of ovarian cancer. However, the results only reached statistical significance for the lignan compounds matairesinol and lariciresinol, where the OR for the highest v. the lowest intake category was 0·72 (95 % CI 0·54, 0·96; P for trend = 0·02) for matairesinol and 0·72 (95 % CI 0·55, 0·96; P for trend = 0·03) for lariciresinol. When the risk of ovarian cancer was assessed by subtype, there was an indication that increasing intakes of phyto-oestrogens may be associated with a decreased risk of mucinous (cases n 158) ovarian tumours (OR for the highest v. the lowest intake category: 0·47 (95 % CI 0·24, 0·93); P for trend = 0·04). However, there were no significant associations with other histological subtypes. In contrast, dietary phyto-oestrogens (total or any subclass) were unrelated to the risk of endometrial cancer cases overall or by subtype.