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Association Between Benign Ovarian Tumors and Ovarian Cancer Risk: A Meta-Analysis of Ten Epidemiological Studies

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FRONTIERS IN ONCOLOGY
卷 12, 期 -, 页码 -

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FRONTIERS MEDIA SA
DOI: 10.3389/fonc.2022.895618

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benign ovarian tumors; epidemiological study; meta-analysis; ovarian cancer; incidence risk

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This systematic review and meta-analysis examined the association between benign ovarian tumors and ovarian cancer risk. The results showed that benign ovarian tumors were associated with an increased risk of ovarian cancer, but there was high heterogeneity among studies. The risk varied depending on the histological type of the tumor.
Background: Epidemiological evidence on the relationship between benign ovarian tumors and ovarian cancer risk has been controversial; therefore, this systematic review and meta-analysis evaluated this association. Methods: The PubMed and Web of Knowledge databases were searched for eligible studies published up to April 30, 2020. The study-specific risk estimates were pooled using a random-effects model. Results: Ten articles (two cohorts, seven case-control studies, and one pooled analysis of eight case-control studies) with 10331 ovarian cancer patients were included. Benign ovarian tumors were associated with an increased risk of ovarian cancer (pooled relative risk [RR]=1.39, 95% confidence interval [CI]: 1.01-1.90), with high heterogeneity among studies. The pooled RR was 2.02 (95%CI: 1.32-3.11) for two cohort studies, which was higher than the pooled result of eight case-control studies (pooled RR: 1.15; 95%CI: 0.92-1.44). When stratifying by histological type, the pooled RRs were 1.53 (95% CI: 0.37-6.29) and 3.62 (95%CI: 0.81-16.20) for serous and mucinous tumors, respectively. The pooled RRs were 1.61 (95%CI: 0.65-3.95) and 1.54 (95%CI: 1.29-1.84) for the associations of ovarian cyst with invasive and borderline cancers, respectively. Conclusions: Benign ovarian tumors were associated with an increased risk of ovarian cancer. Due to the high heterogeneity among the studies and the risks of bias, more studies are warranted to confirm these findings.

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