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子宫内膜异位症和上皮性卵巢癌:两样本孟德尔随机分析。

Endometriosis and epithelial ovarian cancer: a two-sample Mendelian randomization analysis.

机构信息

Department of Gynecology & Obstetrics, Liaocheng People's Hospital, School of Medicine, Liaocheng University, Liaocheng, China.

Department of Gynecology, Qingdao Traditional Chinese Medicine Hospital, Qingdao Hiser Hospital Affiliated of Qingdao University, Qingdao, China.

出版信息

Sci Rep. 2023 Dec 11;13(1):21992. doi: 10.1038/s41598-023-49276-x.

Abstract

Endometriosis, a prevalent condition, has long been recognized as a chronic and debilitating ailment affecting an estimated 1790 million women worldwide. Observational studies have established a correlation between endometriosis and ovarian cancer. Thus, we endeavored to employ Two-Sample Mendelian Randomization, utilizing summary statistics from a Genome-Wide Association Study of endometriosis and epithelial ovarian cancer, with genetic markers serving as proxies for epithelial ovarian cancer. The analysis revealed a significant correlation between these entities, with an odds ratio (OR) of 1.23 (95% CI 1.11-1.36). Upon histotype-specific examination, robust evidence emerged for an association of endometriosis with the risk of endometrioid carcinoma (OR 1.49, 95% CI 1.24-1.81), clear cell carcinoma (OR 2.56, 95% CI 1.75-3.73), and low malignant potential tumors (OR 1.28, 95% CI 1.08-1.53). These findings provide a theoretical framework for prospective investigations aimed at enhancing the potential therapeutic efficacy of managing endometriosis in averting the onset and progression of ovarian cancer.

摘要

子宫内膜异位症是一种常见的疾病,长期以来被认为是一种慢性且使人虚弱的疾病,全球估计有 17.9 亿妇女受到影响。观察性研究已经确定了子宫内膜异位症和卵巢癌之间的相关性。因此,我们努力采用两样本孟德尔随机化方法,利用子宫内膜异位症和上皮性卵巢癌的全基因组关联研究的汇总统计数据,将遗传标记用作上皮性卵巢癌的替代物。分析显示,这些实体之间存在显著相关性,优势比(OR)为 1.23(95%置信区间 1.11-1.36)。在组织学特异性检查中,有强有力的证据表明子宫内膜异位症与子宫内膜样癌(OR 1.49,95%置信区间 1.24-1.81)、透明细胞癌(OR 2.56,95%置信区间 1.75-3.73)和低度恶性潜能肿瘤(OR 1.28,95%置信区间 1.08-1.53)的风险之间存在关联。这些发现为前瞻性研究提供了理论框架,旨在提高管理子宫内膜异位症的潜在治疗效果,从而避免卵巢癌的发生和进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/35e0/10713650/7463df7fc1a4/41598_2023_49276_Fig1_HTML.jpg

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