ArticleBritish journal of cancer2023
Ovarian cancer pathology characteristics as predictors of variant pathogenicity in BRCA1 and BRCA2.
Article in British journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Clinical impact of ENIGMA-based variant reclassification on genotype-phenotype analyses in BRCA1- and BRCA2-associated hereditary breast and ovarian cancer.Breast cancer (Tokyo, Japan) · 2026Article
- Homologous recombination deficiency-driven genomic instability in ovarian cancer as an indicator of BRCA1 and BRCA2 variant pathogenicity.American journal of human genetics · 2026Article
- Integrating breast tumour homologous recombination deficiency status to aid germline BRCA1 and BRCA2 variant classification.EBioMedicine · 2026Article
- Cancer genomic profiling predicts pathogenicity ofmedRxiv : the preprint server for health sciences · 2026Article
- Genome-wide association study of 398,238 women unveils seven loci associated with high-grade serous ovarian cancer.NPJ genomic medicine · 2025Article
- A quantitative, Bayesian-informed approach to gene-specific variant classification: Updated Expert Panel recommendations improve classification of TP53 germline variants for Li-Fraumeni syndrome.Genome medicine · 2025Review
- The SeqSplice multiplexed minigene splicing assay for characterization and quantitation of variant-inducedGenome research · 2025Article
- Advances in Systemic Therapy for Ovarian Cancer Over the Past Decade: A Clinical and Molecular Perspective.Medical science monitor : international medical journal of experimental and clinical research · 2025Review
- A founder BRCA1 exonic duplication involving breakpoint in T2T reference genome-specific region results in constitutional fusion transcript.NPJ genomic medicine · 2025Article
- Integration of protein stability and AlphaMissense scores improves bioinformatic impact prediction for p53 missense and in-frame amino acid deletion variants.American journal of human genetics · 2025Article
- Co-observation of germline pathogenic variants in breast cancer predisposition genes: Results from analysis of the BRIDGES sequencing dataset.American journal of human genetics · 2024Article
- Evidence-based recommendations for gene-specific ACMG/AMP variant classification from the ClinGen ENIGMA BRCA1 and BRCA2 Variant Curation Expert Panel.American journal of human genetics · 2024Article
- Atypical cancer risk profile in carriers of Italian founder BRCA1 variant p.His1673del: Implications for classification and clinical management.Cancer medicine · 2024Article
- Global characterization of RNA editing in genetic regulation of multiple ovarian cancer subtypes.Molecular therapy. Nucleic acids · 2024Article
- Diagnosis progress of carcinoma of unknown primary.Frontiers in oncology · 2024Review
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Abstract
backgroundThe distribution of ovarian tumour characteristics differs between germline BRCA1 and BRCA2 pathogenic variant carriers and non-carriers. In this study, we assessed the utility of ovarian tumour characteristics as predictors of BRCA1 and BRCA2 variant pathogenicity, for application using the American College of Medical Genetics and the Association for Molecular Pathology (ACMG/AMP) variant classification system.
methodsData for 10,373 ovarian cancer cases, including carriers and non-carriers of BRCA1 or BRCA2 pathogenic variants, were collected from unpublished international cohorts and consortia and published studies. Likelihood ratios (LR) were calculated for the association of ovarian cancer histology and other characteristics, with BRCA1 and BRCA2 variant pathogenicity. Estimates were aligned to ACMG/AMP code strengths (supporting, moderate, strong).
resultsNo histological subtype provided informative ACMG/AMP evidence in favour of BRCA1 and BRCA2 variant pathogenicity. Evidence against variant pathogenicity was estimated for the mucinous and clear cell histologies (supporting) and borderline cases (moderate). Refined associations are provided according to tumour grade, invasion and age at diagnosis.
conclusionsWe provide detailed estimates for predicting BRCA1 and BRCA2 variant pathogenicity based on ovarian tumour characteristics. This evidence can be combined with other variant information under the ACMG/AMP classification system, to improve classification and carrier clinical management.
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