Aim This meta‐analysis was conducted to evaluate the impact of BRCA mutations on survival outcomes of ovarian cancer patients and assess whether the BRCA status was an independent predictor of complete cytoreduction. Methods We searched the PubMed, Cochrane, EMBASE, Scopus, Web of Science, and Google Scholar databases for studies that evaluated the associations among BRCA mutations, ovarian cancer survival and surgical cytoreduction before August 2021 based on specific inclusion and exclusion criteria. Results We identified 61 articles that compared the clinical features, survival outcomes, and optimal surgical cytoreduction rates between BRCA‐positive patients and BRCA‐negative patients. The results showed that BRCA mutation carriers were diagnosed with ovarian cancer at a younger age than the age at which nonmutation carriers were diagnosed. In addition, BRCA mutation carriers were more likely to be in the International Federation of Gynecology and Obstetrics (FIGO) stage III‐IV, and the pathological grade was commonly grade 3. The pathological type of BRCA mutation carriers was more likely to be high‐grade serous carcinoma. Patients with BRCA mutations had higher response rates to platinum‐based chemotherapy than the noncarriers. However, patients in both groups had equivalent rates of surgical cytoreduction, and BRCA‐positive patients had longer overall survival (OS) time (HR = 0.65; 95% confidence interval [CI]: 0.59, 0.73; p < 0.001) and longer progression‐free survival (PFS) (HR = 0.72; 95% CI: 0.63, 0.82; p < 0.001). Conclusion BRCA mutations appear to be associated with improved OS and PFS in patients with ovarian cancer. However, we did not find any difference in the surgical resection rate between participants in the two groups.

AimThis study aimed to construct a N1‐methyladenosine (m1A)‐related biomarker model for predicting the prognosis of ovarian cancer (OVCA).MethodsOVCA samples were clustered into two subtypes using the Non‐Negative Matrix Factorization (NMF) algorithm, including TCGA (n = 374) as the training set and GSE26712 (n = 185) as the external validation set. Hub genes, which were screened to construct a risk model, and nomogram to predict the overall survival of OVCA were explored and validated through various bioinformatic analysis and quantitative real‐time PCR.ResultsFollowing bootstrap correction, the C‐index of nomogram was 0.62515, showing reliable performance. The functions of DEGs in the high‐ and low‐risk groups were mainly enriched in immune response, immune regulation, and immune‐related diseases. The immune cells relevant to the expression of hub genes were explored, for example, Natural Killer (NK) cells, T cells, activated dendritic cells (aDC).ConclusionsAADAC, CD38, CACNA1C, and ATP1A3 might be used as m1A‐related biomarkers for OVCA, and the nomogram labeled with m1A for the first time had excellent performance for predicting overall survival in OVCA.