| Literature DB >> 33525650 |
Cristina Herrera-Pariente1, Roser Capó-García1, Marcos Díaz-Gay1,2, Sabela Carballal1, Jenifer Muñoz1, Joan Llach1, Ariadna Sánchez1, Laia Bonjoch1, Coral Arnau-Collell1, Yasmin Soares de Lima1, Mariano Golubicki3,4, Gerhard Jung1, Juan José Lozano5, Antoni Castells1, Francesc Balaguer1, Luis Bujanda6, Sergi Castellví-Bel1, Leticia Moreira1.
Abstract
The genetic cause for several families with gastric cancer (GC) aggregation is unclear, with marked relevance in early-onset patients. We aimed to identify new candidate genes involved in GC germline predisposition. Whole-exome sequencing (WES) of germline samples was performed in 20 early-onset GC patients without previous germline mutation identified. WES was also performed in nine tumor samples to analyze the somatic profile using SigProfilerExtractor tool. Sequencing germline data were filtered to select those variants with plausible pathogenicity, rare frequency and previously involved in cancer. Then, a manual filtering was performed to prioritize genes according to current knowledge and function. These genetic variants were prevalidated with Integrative Genomics Viewer 2.8.2 (IGV). Subsequently, a further selection step was carried out according to function and information obtained from tumor samples. After IGV and selection step, 58 genetic variants in 52 different candidate genes were validated by Sanger sequencing. Among them, APC, FAT4, CTNND1 and TLR2 seem to be the most promising genes because of their role in hereditary cancer syndromes, tumor suppression, cell adhesion and Helicobacter pylori recognition, respectively. These encouraging results represent the open door to the identification of new genes involved in GC germline predisposition.Entities:
Keywords: early-onset; gastric cancer; germline predisposition; next-generation sequencing; somatic profiling; whole-exome sequencing
Year: 2021 PMID: 33525650 PMCID: PMC7866206 DOI: 10.3390/ijms22031310
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923