Gene-panel sequencing and the prediction of breast-cancer risk.
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ABSTRACT:
SUBMITTER: Easton DF
PROVIDER: S-EPMC4610139 | biostudies-literature | 2015 Jun
REPOSITORIES: biostudies-literature
Publications
Gene-panel sequencing and the prediction of breast-cancer risk.
Easton Douglas F DF Pharoah Paul D P PD Antoniou Antonis C AC Tischkowitz Marc M Tavtigian Sean V SV Nathanson Katherine L KL Devilee Peter P Meindl Alfons A Couch Fergus J FJ Southey Melissa M Goldgar David E DE Evans D Gareth R DG Chenevix-Trench Georgia G Rahman Nazneen N Robson Mark M Domchek Susan M SM Foulkes William D WD
The New England journal of medicine 20150527 23
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Project description:BackgroundClinicians ordering multi-gene next-generation sequencing panels for hereditary breast cancer risk have a variety of test panel options. Many panels include lesser known breast cancer genes or genes associated with other cancers. The authors hypothesized that using broader gene panels increases the identification of clinically significant findings, some relevant and others incidental to the testing indication. They examined clinician ordering patterns and compared the yield of pathogenic or likely pathogenic (P/LP) variants in non-BRCA genes of female breast cancer patients.MethodsThis study analyzed de-identified personal and family histories in 1085 breast cancer cases with P/LP multi-gene panel findings in non-BRCA cancer genes and sorted them into three groups by the panel used for testing: group A (breast cancer genes only), group B (commonly assessed cancers: breast, gynecologic, and gastrointestinal), and group C (a more expanded set of tumors). The frequency of P/LP variants in genes with established management guidelines was compared and evaluated for consistency with personal and family histories.ResultsThis study identified 1131 P/LP variants and compared variants in clinically actionable genes for breast and non-breast cancers. Overall, 91.5% of these variants were in genes with management guidelines. Nearly 12% were unrelated to personal or family history.ConclusionBroader panels were used for 85.6% of our cohort (groups B and C). Although pathogenic variants in non-BRCA genes are reportedly rare, the study found that most were in clinically actionable genes. Expanded panel testing improved the identification of hereditary cancer risk. Small, breast-limited panels may miss clinically relevant findings in genes associated with other heritable cancers.
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Project description:BackgroundBreast cancer (BC) is the most common neoplasm in women, with 5%-10% patients showing a familial predisposition, where germline mutations in BRCA1/BRCA2 genes are found in -20% of cases. Next-generation sequencing (NGS) is among the best available options for genetic screening, providing several benefits that include enhanced sensitivity and unbiased mutation detection. PALB2 (partner and localizer of BRCA2) is a cancer predisposing gene recently described that encodes a protein partner of BRCA2 involved in DNA double-strand break repair and cell cycle control. The DNA damage response represents a key cellular event, targeted by innovative anticancer therapies, including those based on poly (ADP-ribose) polymerase (PARP) inhibitors targeting PARP1 and PARP2 enzymes, activated by DNA damage and involved in single-strand break and base excision repair.MethodsGenomic DNA was isolated from 34 patient samples and four BC cell lines, as controls, and 27 breast cancer predisposing genes belonging to the BRCA1/BRCA2 and PARP pathways were sequenced by NGS.ResultsThe panel described here allowed identification of several sequence variations in most investigated genes, among which we found a novel truncating mutation in PALB2.ConclusionsThe NGS-based strategy designed here for molecular analysis of a customized panel of BC predisposing and related genes was found to perform effectively, providing a comprehensive exploration of all genomic sequences of the investigated genes. It is thus useful for BC molecular diagnosis, in particular for familiar cases where alterations in routinely investigated genes, such as BRCAs, result to be absent.
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