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Whole-exome sequencing identifies prognostic mutational signatures in gastric cancer

BACKGROUND: Gastric cancer (GC) is a heterogeneous disease, and is a leading cause of cancer deaths in Eastern Asia. Genomic analysis, such as whole-exome sequencing (WES), can help identify key genetic alterations leading to the malignancy and diversity of GC, and may help identify new drug targets...

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Detalles Bibliográficos
Autores principales: Zhu, Zhenxin, Fu, Hongbing, Wang, Shengzhou, Yu, Xinxin, You, Qing, Shi, Mengyao, Dai, Chun, Wang, Guan, Cha, Wei, Wang, Weimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729362/
https://www.ncbi.nlm.nih.gov/pubmed/33313229
http://dx.doi.org/10.21037/atm-20-6620
Descripción
Sumario:BACKGROUND: Gastric cancer (GC) is a heterogeneous disease, and is a leading cause of cancer deaths in Eastern Asia. Genomic analysis, such as whole-exome sequencing (WES), can help identify key genetic alterations leading to the malignancy and diversity of GC, and may help identify new drug targets. METHODS: We identified genomic alterations in a cohort of 38 GC patients, including 26 metastatic and 12 non-metastatic patients. We analyzed the association between novel gene mutations and copy number variations (CNVs) with tumor metastasis and patient survival. RESULTS: A number of significantly mutated genes in somatic and germline cells were identified. Among them, ATAD3B somatic mutation, a potential biomarker of immunotherapy in stomach cancers, was associated with better patient survival (P=0.0939) and metastasis (P=0.074). POLE germline variation was correlated with shorter overall survival (OS; P=0.0100). Novel CNVs were also identified and can potentially be used as biomarkers. These included 9p24.1 deletion (P=0.0376) and 16p11.2 amplification (P=0.0066), which were both associated with shorter OS. CNVs of several genes including MMP9, PTPN1, and SS18L1 were found to be significantly related to metastasis (P<0.05). CONCLUSIONS: We characterized the mutational landscape of 38 GC patients and discovered several potential new predictive markers of survival and metastasis in GC.