High pre-diagnosis inflammation-related risk score associated with decreased ovarian cancer survival

Brieger, KK, Phung, MT, Mukherjee, B, Bakulski, KM, Anton-Culver, H, Bandera, EV, Bowtell, DDL, Cramer, DW, DeFazio, A, Doherty, JA, Fereday, S, Fortner, RT, Gentry-Maharaj, A, Goode, EL, Goodman, MT, Harris, HR, Matsuo, K, Menon, U, Modugno, F, Moysich, KB, Qin, B, Ramus, SJ, Risch, HA, Rossing, MA, Schildkraut, JM, Trabert, B, Vierkant, RA, Winham, SJ, Wentzensen, N, Wu, AH, Ziogas, A, Khoja, L, Cho, KR, McLean, K, Richardson, J, Grout, B, Chase, A, McKinnon Deurloo, C, Odunsi, K, Nelson, BH, Brenton, JD, Terry, KL, Pharaoh, PD, Berchuck, A, Hanley, GE, Webb, PM, Pike, MC, Pearce, CL
2022 · W4225473893
article OA: closed CC0 ⤵ 2 in-corpus citations Metadata only
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Abstract

BACKGROUND: \nThere 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. \n \nMETHODS: \nThis analysis used pooled data on 8,147 women with invasive epithelial ovarian cancer from the Ovarian Cancer Association Consortium. Pre-diagnosis inflammatory-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 (PH) 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 PH models in the remaining 50% of the data. \n \nRESULTS: \nThere was a statistically significant trend of increasing risk of death per quartile of the IRRS (HR=1.09, 95% CI 1.03-1.14). Women in the upper quartile of the IRRS had 31% higher death rate compared to the lowest quartile (95% CI 1.11-1.54). \n \n \nCONCLUSIONS: \nA higher pre-diagnosis IRRS was associated with increased mortality risk after an ovarian cancer diagnosis. Further investigation is warranted to evaluate whether post-diagnosis exposures are also associated with survival. \n \nIMPACT: \nGiven that pre- and post-diagnosis exposures are often correlated and many are modifiable, our study results can ultimately motivate the development of behavioral recommendations to enhance survival among ovarian cancer patients.

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