Literature DB >> 30482293

A multi-gene panel beyond BRCA1/BRCA2 to identify new breast cancer-predisposing mutations by a picodroplet PCR followed by a next-generation sequencing strategy: a pilot study.

Marcella Nunziato1, Maria Valeria Esposito1, Flavio Starnone1, Maria Angela Diroma2, Alessandra Calabrese3, Valentina Del Monaco2, Pasqualina Buono4, Giuseppe Frasci5, Gerardo Botti5, Massimiliano D'Aiuto5, Francesco Salvatore6, Valeria D'Argenio7.   

Abstract

By analyzing multiple gene panels, next-generation sequencing is more effective than conventional procedures in identifying disease-related mutations that are useful for clinical decision-making. Here, we aimed to test the efficacy of an 84 genes customized-panel in BRCA1 and BRCA2 mutation-negative patients. Twenty-four patients were enrolled in this study. DNA libraries were prepared using a picodroplet PCR-based approach and sequenced with the MiSeq System. Highly putative pathogenic mutations were identified in genes other than the commonly tested BRCA1/2: 2 pathogenic mutations one in TP53 and one in MUTYH; 2 missense variants in MSH6 and ATM, respectively; 2 frameshift variants in KLLN, and ATAD2, respectively; an intronic variant in ANPEP, and 3 not functionally known variants (a frameshift variant in ATM a nonsense variant in ATM and a missense variant in NFE2L2). Our results show that this molecular screening will increase diagnostic sensitivity leading to a better risk assessment in breast cancer patients and their families. This strategy could also reveal genes that have a higher penetrance for breast and ovarian cancers by matching gene mutation with familial and clinical data, thereby increasing information about hereditary breast and ovarian cancer genetics and improving cancer prevention measures or therapeutic approaches.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Cancer risk; Gene panel testing; Germinal predisposing mutations; Hereditary breast and ovarian cancer; Next-generation sequencing; Picodroplet PCR

Mesh:

Substances:

Year:  2018        PMID: 30482293     DOI: 10.1016/j.aca.2018.09.032

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  10 in total

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