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卵巢癌病理学特征作为 BRCA1 和 BRCA2 变异致病性的预测因子。

Ovarian cancer pathology characteristics as predictors of variant pathogenicity in BRCA1 and BRCA2.

机构信息

Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia, 2371, Cyprus.

Department of Cancer Genetics, Therapeutics and Ultrastructural Pathology, The Cyprus Institute of Neurology and Genetics, Nicosia, 2371, Cyprus.

出版信息

Br J Cancer. 2023 Jun;128(12):2283-2294. doi: 10.1038/s41416-023-02263-5. Epub 2023 Apr 19.

Abstract

BACKGROUND

The 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.

METHODS

Data 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ovarian cancer cases, including carriers and non-carriers of BRCA1 or BRCA2 pathogenic variants, were collected from unpublished international cohorts and consortia and published studies.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).

RESULTS

No 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.

CONCLUSIONS

We 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.

摘要

背景

BRCA1 和 BRCA2 种系致病性变异携带者和非携带者的卵巢肿瘤特征分布不同。本研究评估了卵巢肿瘤特征作为 BRCA1 和 BRCA2 变异致病性预测因子的效用,用于美国医学遗传学学院和分子病理学协会 (ACMG/AMP) 变异分类系统的应用。

方法

从未发表的国际队列和联盟以及已发表的研究中收集了 10373 例卵巢癌病例的数据,包括 BRCA1 或 BRCA2 致病性变异的携带者和非携带者。计算了卵巢癌组织学和其他特征与 BRCA1 和 BRCA2 变异致病性之间的关联的似然比 (LR)。估计值与 ACMG/AMP 代码强度(支持、中等、强)对齐。

结果

没有组织学亚型为 BRCA1 和 BRCA2 变异致病性提供有意义的 ACMG/AMP 证据。黏液性和透明细胞组织学(支持)和交界性病例(中等)估计为变异致病性提供了反对证据。根据肿瘤分级、浸润和诊断时的年龄提供了更精细的关联。

结论

我们根据卵巢肿瘤特征提供了预测 BRCA1 和 BRCA2 变异致病性的详细估计。该证据可以与 ACMG/AMP 分类系统下的其他变异信息相结合,以改善分类和携带者的临床管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5d7/10241792/4036f796ad78/41416_2023_2263_Fig1_HTML.jpg

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