Prognostic analysis of endometrioid epithelial ovarian cancer with or without endometriosis: a 12-year cohort study of Chinese patients

Wang S, Shu Wang, Qiu L, Lin Qiu, Lang JH, Jing He Lang, Keng Shen, Shen K, Hui Fang Huang, Huang HF, Hui Huang, Pan LY, Ling Ya Pan, Wu M, Ming Wu, Yang JX, Jia Xin Yang, Li Na Guo, Li Guo, Guo LN
American journal of obstetrics and gynecology · 2013 · vol. 209(3) , pp. 241.e1–241.e9 · doi:10.1016/j.ajog.2013.05.032 · PMID:23702297 · W2076611725
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This 12-year cohort study analyzed Chinese patients with endometrioid epithelial ovarian cancer, comparing prognoses between those with and without endometriosis.

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Abstract

ObjectiveClinicopathological characteristics and possible prognostic factors among women with endometrioid epithelial ovarian cancer (EEOC) with or without concurrent endometriosis were investigated.Study designA search of medical charts at Peking Union Medical College Hospital from 2000 through 2012 identified patients with EEOC with or without endometriosis.ResultsOf 188 patients with EEOC, concurrent endometriosis was identified in 32 (17.0%). Patients with concurrent endometriosis were approximately 5 years younger, more likely to be premenopausal, more likely to have an early stage of EEOC, and less likely to have high-grade tumors compared to those without endometriosis. The univariate analysis showed that concurrent endometriosis was a significant prognostic factor for disease-free survival, but this association did not remain in the multivariate analysis.ConclusionWomen with EEOC and concurrent endometriosis showed distinct characteristics and had longer disease-free survival when compared to those without endometriosis.

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Condition tags

endometriosis

MeSH descriptors

Endometriosis Neoplasms, Glandular and Epithelial Ovarian Neoplasms Adult Aged Aged, 80 and over Carcinoma, Ovarian Epithelial Cohort Studies Disease-Free Survival Endometriosis Female Humans Middle Aged Neoplasms, Glandular and Epithelial Neoplasms, Glandular and Epithelial Ovarian Neoplasms Ovarian Neoplasms Prognosis Proportional Hazards Models

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