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Factors predicting BRCA1/2 pathogenic variants in patients with ovarian cancer: a systematic review with meta-analysis

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Aim To provide accurate figures of the frequency of specific clinical features in ovarian cancer (OC) associated with germline BRCA1/2 pathogenic variants and to define their relevance in predicting the… Click to show full abstract

Aim To provide accurate figures of the frequency of specific clinical features in ovarian cancer (OC) associated with germline BRCA1/2 pathogenic variants and to define their relevance in predicting the presence of a germline pathogenic variant in these genes. Methods A systematic review of papers published from 1995 to February 2022 was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Data from eligible papers were synthesised through meta-analysis. Results Thirty-seven papers were reviewed, including a total of 12 886 patients with OC. Among BRCA carriers, 86.4% displayed serous type, 83.3% high grade (G3), 83.7% FIGO (The International Federation of Gynecology and Obstetrics) stage III/IV, 39.7% age at diagnosis ≤50 years and 18.1% personal breast cancer history, while the frequency of these features in non-carriers resulted significantly lower (p<0.001). The meta-analysis showed that the strongest predictor of BRCA1/2 pathogenic variants was a personal breast cancer history (OR 5.21, 95% CI 4.02 to 6.55, compared with no previous breast cancer), followed by high grade (OR 2.47, 95% CI 1.97 to 3.10, compared with low/intermediate grade), serous histotype (OR 2.33, 95% CI 2.07 to 2.64, compared with other histotypes), advanced (III/IV) FIGO stage (OR 1.89, 95% CI 1.67 to 2.15, compared with stage I/II) and age at diagnosis ≤50 years (OR 1.20, 95% CI 1.01 to 1.42, compared with >50 years). Conclusion The results of this meta-analysis provide data on features increasing the prior probability of finding BRCA1/2 pathogenic variants that may prove helpful in counselling patients and prioritising testing. PROSPERO registration number CRD42021271815.

Keywords: pathogenic variants; brca1 pathogenic; meta analysis; cancer

Journal Title: Journal of Clinical Pathology
Year Published: 2023

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