Elizabeth M Poole1, Panagiotis A Konstantinopoulos2, Kathryn L Terry3. 1. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States. 2. Division of Medical Gynecologic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States. 3. Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Obstetrics and Gynecology Epidemiology Center, Department of Obstetrics and Gynecology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States. Electronic address: kterry@partners.org.
Abstract
INTRODUCTION: Despite strides in identifying factors that predict risk of ovarian cancer and improvements in ovarian cancer treatment, little is known about factors that predict ovarian cancer survival. METHODS: We reviewed the literature for analyses of factors before, at, or after diagnosis that may predict survival outcomes, including demographics (e.g., age and race), genetics (e.g., inherited BRCA mutations), hormonal factors (e.g., parity and hormone use), and lifestyle (e.g., physical activity and diet). RESULTS: While treatment factors, tumor characteristics and genetic syndromes are predictive of survival, few studies of most hormonal and lifestyle factors have been published; most have evaluated pre-diagnosis factors. For example, we identified eight studies that examined menopausal hormone use prior to diagnosis, reporting a non-significant survival benefit for users compared to non-users, while four studies reported better survival with use after surgery, though only two were significant. Similarly, while increased body size has been extensively studied as potentially associated with reduced survival, other modifiable factors, such as diet and physical activity remain understudied. We identified three studies of pre-diagnosis physical activity and five studies of pre-diagnosis diet, with a suggestive benefit of higher vegetable intake and vigorous physical activity. By contrast, large studies of the impact of race/ethnicity and socioeconomic status (SES) confirm that non-white women and women of lower SES fare more poorly than white women and women of higher SES, respectively. CONCLUSIONS: Our review of the published literature on predictors of ovarian cancer survival revealed that modifiable lifestyle factors may be related to survival, but that hormonal factors do not strongly predict outcomes in ovarian cancer patients. However, more attention should be paid to women's post-diagnosis survival experience. The dearth of literature on post-diagnosis factors that may improve outcomes makes it difficult to make specific recommendations for survivors.
INTRODUCTION: Despite strides in identifying factors that predict risk of ovarian cancer and improvements in ovarian cancer treatment, little is known about factors that predict ovarian cancer survival. METHODS: We reviewed the literature for analyses of factors before, at, or after diagnosis that may predict survival outcomes, including demographics (e.g., age and race), genetics (e.g., inherited BRCA mutations), hormonal factors (e.g., parity and hormone use), and lifestyle (e.g., physical activity and diet). RESULTS: While treatment factors, tumor characteristics and genetic syndromes are predictive of survival, few studies of most hormonal and lifestyle factors have been published; most have evaluated pre-diagnosis factors. For example, we identified eight studies that examined menopausal hormone use prior to diagnosis, reporting a non-significant survival benefit for users compared to non-users, while four studies reported better survival with use after surgery, though only two were significant. Similarly, while increased body size has been extensively studied as potentially associated with reduced survival, other modifiable factors, such as diet and physical activity remain understudied. We identified three studies of pre-diagnosis physical activity and five studies of pre-diagnosis diet, with a suggestive benefit of higher vegetable intake and vigorous physical activity. By contrast, large studies of the impact of race/ethnicity and socioeconomic status (SES) confirm that non-white women and women of lower SES fare more poorly than white women and women of higher SES, respectively. CONCLUSIONS: Our review of the published literature on predictors of ovarian cancer survival revealed that modifiable lifestyle factors may be related to survival, but that hormonal factors do not strongly predict outcomes in ovarian cancerpatients. However, more attention should be paid to women's post-diagnosis survival experience. The dearth of literature on post-diagnosis factors that may improve outcomes makes it difficult to make specific recommendations for survivors.
Authors: Paola Bertuccio; Gianfranco Alicandro; Gabriella Sebastiani; Nicolas Zengarini; Giuseppe Costa; Carlo La Vecchia; Luisa Frova Journal: Int J Public Health Date: 2018-07-26 Impact factor: 3.380
Authors: Jennifer A Doherty; Allan Jensen; Linda E Kelemen; Celeste L Pearce; Elizabeth Poole; Joellen M Schildkraut; Kathryn L Terry; Shelley S Tworoger; Penelope M Webb; Nicolas Wentzensen Journal: J Natl Cancer Inst Date: 2017-10-01 Impact factor: 13.506
Authors: Renée T Fortner; Elizabeth M Poole; Nicolas A Wentzensen; Britton Trabert; Emily White; Alan A Arslan; Alpa V Patel; V Wendy Setiawan; Kala Visvanathan; Elisabete Weiderpass; Hans-Olov Adami; Amanda Black; Leslie Bernstein; Louise A Brinton; Julie Buring; Tess V Clendenen; Agnès Fournier; Gary Fraser; Susan M Gapstur; Mia M Gaudet; Graham G Giles; Inger T Gram; Patricia Hartge; Judith Hoffman-Bolton; Annika Idahl; Rudolf Kaaks; Victoria A Kirsh; Synnove Knutsen; Woon-Puay Koh; James V Lacey; I-Min Lee; Eva Lundin; Melissa A Merritt; Roger L Milne; N Charlotte Onland-Moret; Ulrike Peters; Jenny N Poynter; Sabina Rinaldi; Kim Robien; Thomas Rohan; Maria-José Sánchez; Catherine Schairer; Leo J Schouten; Anne Tjonneland; Mary K Townsend; Ruth C Travis; Antonia Trichopoulou; Piet A van den Brandt; Paolo Vineis; Lynne Wilkens; Alicja Wolk; Hannah P Yang; Anne Zeleniuch-Jacquotte; Shelley S Tworoger Journal: Int J Cancer Date: 2019-01-14 Impact factor: 7.396
Authors: Naoko Sasamoto; Tianyi Wang; Mary K Townsend; Jonathan L Hecht; A Heather Eliassen; Mingyang Song; Kathryn L Terry; Shelley S Tworoger; Holly R Harris Journal: Cancer Epidemiol Biomarkers Prev Date: 2021-03-02 Impact factor: 4.090
Authors: Amy L Shafrir; Ana Babic; Rulla M Tamimi; Bernard A Rosner; Shelley S Tworoger; Kathryn L Terry Journal: Br J Cancer Date: 2016-10-04 Impact factor: 7.640