Diet Quality and Survival After Ovarian Cancer: Results From the Women's Health Initiative

Thomson, Cynthia A.; Crane, Tracy E.; Wertheim, Betsy C.; Neuhouser, Marian L.; Li, Wenjun; Snetselaar, Linda; Basen-Engquist, Karen; Zhou, Yang; Irwin, Melinda L.

doi:10.1093/jnci/dju314

Cited by 73 publications

(63 citation statements)

References 45 publications

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“…The proportion of deaths from causes other than ovarian cancer was small in the studies with data on cause-specific mortality, as has been reported in other ovarian cancer case series (18). It is likely that the majority of deaths occurring in the first five years after diagnosis were due to ovarian cancer and so any misclassification will have been minimal.…”

Section: Discussionmentioning

confidence: 46%

Germline Mutation in BRCA1 or BRCA2 and Ten-Year Survival for Women Diagnosed with Epithelial Ovarian Cancer

Reis

Song

Goode

et al. 2015

Clinical Cancer Research

148

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Purpose To analyse the effect of germline mutations in BRCA1 and BRCA2 on mortality in ovarian cancer patients up to ten years after diagnosis. Experimental Design We used unpublished survival time data for 2,242 patients from two case-control studies and extended survival-time data for 4,314 patients from previously reported studies. All participants had been screened for deleterious germline mutations in BRCA1 and BRCA2. Survival time was analysed for the combined data using Cox proportional hazard models with BRCA1 and BRCA2 as time-varying covariates. Competing risks were analysed using Fine and Gray model. Results The combined 10-year overall survival was 30% (95% CI, 28%-31%) for non-carriers, 25% (95% CI, 22%-28%) for BRCA1 carriers, and 35% (95% CI, 30%-41%) for BRCA2 carriers. The hazard ratio for BRCA1 was 0.53 at time zero and increased over time becoming greater than one at ·4.8 years. For BRCA2, the hazard ratio was 0.42 at time zero and increased over time (predicted to become greater than one at 10.5 years). The results were similar when restricted to 3,202 patients with high-grade serous tumors, and to ovarian cancer specific mortality. Conclusions BRCA1/2 mutations are associated with better short-term survival, but this advantage decreases over time and, in BRCA1 carriers is eventually reversed. This may have important implications for therapy of both primary and relapsed disease and for analysis of long-term survival in clinical trials of new agents, particularly those that are effective in BRCA1/2 mutation carriers.

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Section: Discussionmentioning

confidence: 46%

Germline Mutation in BRCA1 or BRCA2 and Ten-Year Survival for Women Diagnosed with Epithelial Ovarian Cancer

Reis

Song

Goode

et al. 2015

Clinical Cancer Research

148

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“…The second study, by Dolocek and colleagues, featured 341 women with ovarian cancer from a case-control study conducted in Cook County, IL, among whom 176 died [56]. Consistent (continued on next page) [57]. This study reported lower risks of dying for women with the highest overall diet quality (HR = 0.73, 95% CI = 0.55-0.97), but no significant association with any of the specific components of the HEI-2005.…”

Section: Dietmentioning

confidence: 99%

Prognostic implications of reproductive and lifestyle factors in ovarian cancer

Poole

Konstantinopoulos

Terry

2016

Gynecologic Oncology

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“…The WHO Healthy Diet Indicator (HDI), based on recommended nutrient cutoffs, is associated with improved life expectancy (18). In many instances, dietary pattern-cancer associations have been found that were not evident when investigating single foods or nutrients (19)(20)(21)(22)(23)(24). These findings and the need for additional dietary pattern research were emphasized by the 2015 US Dietary Guidelines Advisory Committee (1).…”

Section: Introductionmentioning

confidence: 99%

Identifying biomarkers of dietary patterns by using metabolomics

Playdon

Moore

Derkach

et al. 2017

The American Journal of Clinical Nutrition

184

140

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Background: Healthy dietary patterns that conform to national dietary guidelines are related to lower chronic disease incidence and longer life span. However, the precise mechanisms involved are unclear. Identifying biomarkers of dietary patterns may provide tools to validate diet quality measurement and determine underlying metabolic pathways influenced by diet quality. Objective: The objective of this study was to examine the correlation of 4 diet quality indexes [the Healthy Eating Index (HEI) 2010, the Alternate Mediterranean Diet Score (aMED), the WHO Healthy Diet Indicator (HDI), and the Baltic Sea Diet (BSD)] with serum metabolites. Design: We evaluated dietary patterns and metabolites in male Finnish smokers (n = 1336) from 5 nested case-control studies within the AlphaTocopherol, Beta-Carotene Cancer Prevention Study cohort. Participants completed a validated food-frequency questionnaire and provided a fasting serum sample before study randomization (1985)(1986)(1987)(1988). Metabolites were measured with the use of mass spectrometry. We analyzed cross-sectional partial correlations of 1316 metabolites with 4 diet quality indexes, adjusting for age, body mass index, smoking, energy intake, education, and physical activity. We pooled estimates across studies with the use of fixed-effects meta-analysis with Bonferroni correction for multiple comparisons, and conducted metabolic pathway analyses. Results: The HEI-2010, aMED, HDI, and BSD were associated with 23, 46, 23, and 33 metabolites, respectively (17, 21, 11, and 10 metabolites, respectively, were chemically identified; r-range: 20.30 to 0.20; P = 6 3 10 215 to 8 3 10 26 ). Food-based diet indexes (HEI-2010, aMED, and BSD) were associated with metabolites correlated with most components used to score adherence (e.g., fruit, vegetables, whole grains, fish, and unsaturated fat). HDI correlated with metabolites related to polyunsaturated fat and fiber components, but not other macro-or micronutrients (e.g., percentages of protein and cholesterol). The lysolipid and food and plant xenobiotic pathways were most strongly associated with diet quality.Conclusions: Diet quality, measured by healthy diet indexes, is associated with serum metabolites, with the specific metabolite profile of each diet index related to the diet components used to score adherence. This trial was registered at clinicaltrials.gov as NCT00342992. Am J Clin Nutr 2017;105:450-65.

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Diet Quality and Survival After Ovarian Cancer: Results From the Women's Health Initiative

Abstract: Our results suggest that overall higher prediagnosis diet quality may protect against mortality after ovarian cancer.

Cited by 73 publications

References 45 publications

Germline Mutation in BRCA1 or BRCA2 and Ten-Year Survival for Women Diagnosed with Epithelial Ovarian Cancer

Germline Mutation in BRCA1 or BRCA2 and Ten-Year Survival for Women Diagnosed with Epithelial Ovarian Cancer

Prognostic implications of reproductive and lifestyle factors in ovarian cancer

Identifying biomarkers of dietary patterns by using metabolomics

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