Novel Candidate loci and Pathogenic Germline Variants Involved in Familial Hematological Malignancies Revealed by Whole-Exome Sequencing

外显子组测序 生殖系 支票2 遗传学 生物 PALB2 外显子组 癌症 队列 候选基因 种系突变 基因 医学 突变 内科学
作者
Cristina Andrés-Zayas,Julia Suárez‐González,María Chicano-Lavilla,Mariana Bastos‐Oreiro,Gabriela Rodríguez‐Macias,Patricia Font,Santiago Osorio Prendes,Gillen Oarbeascoa Royuela,Patricia García Ramírez,Rocío Salgado,Ignacio Gómez‐Centurión,Diego Carbonell,Paula Muñiz,Mi Kwon,José L. Díez‐Martín,Ismael Buño,Carolina Martínez‐Laperche
出处
期刊:Cancers [Multidisciplinary Digital Publishing Institute]
卷期号:15 (3): 944-944
标识
DOI:10.3390/cancers15030944
摘要

The familial occurrence of hematological malignancies has been underappreciated. Recent studies suggest that up to 15% of adults with myeloid neoplasms carry germline pathogenic variants in cancer-predisposing genes. This study aimed to identify the underlying germline predisposition variant in patients with a strong family or personal onco-hematological history using whole exome sequencing on sixteen uncharacterized individuals. It was carried out in two groups of patients, one with samples available from two affected relatives (Cohort A) and one with available samples from the index case (Cohort B). In Cohort A, six families were characterized. Two families shared variants in genes associated with DNA damage response and involved in cancer development (CHEK2 and RAD54L). Pathogenic or likely pathogenic germline variants were also found in novel candidate genes (NFATC2 and TC2N). In two families, any relevant pathogenic or likely pathogenic genomic variants were identified. In Cohort B, four additional index cases were analyzed. Three of them harbor clinically relevant variants in genes with a probable role in the development of inherited forms of hematological malignancies (GATA1, MSH4 and PRF1). Overall, whole exome sequencing is a useful approach to achieve a further characterization of these patients and their mutational spectra. Moreover, further investigations may help improve optimization for disease management of affected patients and their families.
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