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High Prediagnosis Inflammation-Related Risk Score Associated with Decreased Ovarian Cancer Survival

Authors :
Kunle Odunsi
Usha Menon
Holly R. Harris
Bo Qin
Minh Tung Phung
Sian Fereday
Hoda Anton-Culver
Aleksandra Gentry-Maharaj
Kathryn L. Terry
Celeste Leigh Pearce
Mary Anne Rossing
Elisa V. Bandera
Anna H. Wu
Andrew Berchuck
Harvey A. Risch
Kelly M. Bakulski
Jennifer A. Doherty
Ellen L. Goode
Robert A. Vierkant
Anna deFazio
Keitaro Matsuo
Anne Chase
Brad H. Nelson
Gillian E. Hanley
Renée T. Fortner
Susan J. Ramus
Katharine Brieger
Joellen M. Schildkraut
Kathleen R. Cho
Jean L. Richardson
Paul D. Pharaoh
Karen McLean
Cindy McKinnon Deurloo
Francesmary Modugno
Daniel W. Cramer
Britton Trabert
Bhramar Mukherjee
Malcolm C. Pike
Bronwyn Grout
Kirsten B. Moysich
Nicolas Wentzensen
David D.L. Bowtell
James D. Brenton
Stacey J. Winham
Lilah Khoja
Argyrios Ziogas
Penelope M. Webb
Marc T. Goodman
Source :
Cancer Epidemiol Biomarkers Prev
Publication Year :
2022
Publisher :
American Association for Cancer Research (AACR), 2022.

Abstract

Background: There is suggestive evidence that inflammation is related to ovarian cancer survival. However, more research is needed to identify inflammation-related factors that are associated with ovarian cancer survival and to determine their combined effects. Methods: This analysis used pooled data on 8,147 women with invasive epithelial ovarian cancer from the Ovarian Cancer Association Consortium. The prediagnosis inflammation-related exposures of interest included alcohol use; aspirin use; other nonsteroidal anti-inflammatory drug use; body mass index; environmental tobacco smoke exposure; history of pelvic inflammatory disease, polycystic ovarian syndrome, and endometriosis; menopausal hormone therapy use; physical inactivity; smoking status; and talc use. Using Cox proportional hazards models, the relationship between each exposure and survival was assessed in 50% of the data. A weighted inflammation-related risk score (IRRS) was developed, and its association with survival was assessed using Cox proportional hazards models in the remaining 50% of the data. Results: There was a statistically significant trend of increasing risk of death per quartile of the IRRS [HR = 1.09; 95% confidence interval (CI), 1.03–1.14]. Women in the upper quartile of the IRRS had a 31% higher death rate compared with the lowest quartile (95% CI, 1.11–1.54). Conclusions: A higher prediagnosis IRRS was associated with an increased mortality risk after an ovarian cancer diagnosis. Further investigation is warranted to evaluate whether postdiagnosis exposures are also associated with survival. Impact: Given that pre- and postdiagnosis exposures are often correlated and many are modifiable, our study results can ultimately motivate the development of behavioral recommendations to enhance survival among patients with ovarian cancer.

Details

ISSN :
15387755 and 10559965
Volume :
31
Database :
OpenAIRE
Journal :
Cancer Epidemiology, Biomarkers & Prevention
Accession number :
edsair.doi.dedup.....2cfc63b9a91ce49ea9292bc5cf73a80f