CEINGE-Biotecnologie Avanzate, via Gaetano Salvatore 486, 80145, Naples, Italy; Department of Molecular Medicine and Medical Biotechnologies, University of Naples Federico II, via Sergio Pansini 5, 80131, Naples, Italy.
CEINGE-Biotecnologie Avanzate, via Gaetano Salvatore 486, 80145, Naples, Italy.
Anal Chim Acta. 2019 Jan 10;1046:154-162. doi: 10.1016/j.aca.2018.09.032. Epub 2018 Sep 18.
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.
通过分析多个基因面板,下一代测序在识别与疾病相关的突变方面比传统方法更有效,这些突变对临床决策有用。在这里,我们旨在测试 84 个基因定制面板在 BRCA1 和 BRCA2 突变阴性患者中的疗效。这项研究共纳入了 24 名患者。使用基于微滴式 PCR 的方法制备 DNA 文库,并使用 MiSeq 系统进行测序。在除了常见的 BRCA1/2 以外的基因中发现了高度疑似的致病性突变:2 种致病性突变,一种在 TP53 中,另一种在 MUTYH 中; MSH6 和 ATM 中的 2 个错义变体;KLLN 和 ATAD2 中的 2 个移码变体; ANPEP 中的内含子变体,以及 3 个功能未知的变体(ATM 中的移码变体、ATM 中的无义变体和 NFE2L2 中的错义变体)。我们的结果表明,这种分子筛选将提高诊断灵敏度,从而为乳腺癌患者及其家属提供更好的风险评估。通过将基因突变与家族和临床数据相匹配,这种策略还可以揭示出对乳腺癌和卵巢癌具有更高外显率的基因,从而增加有关遗传性乳腺癌和卵巢癌遗传学的信息,并改善癌症预防措施或治疗方法。