A novel genomic classification system of gastric cancer via integrating multidimensional genomic characteristics.

ABSTRACT:

Background

Gastric cancer (GC) is one of the leading causes of cancer deaths with high heterogeneity. There is currently a paucity of clinically applicable molecular classification system to guide precise medicine.

Methods

A total of 70 Chinese patients with GC were included in this study and whole-exome sequencing was performed. Unsupervised clustering was undertaken to identify genomic subgroups, based on mutational signature, copy number variation, neoantigen, clonality, and essential genomic alterations. Subgroups were characterized by clinicopathological factors, molecular features, and prognosis.

Results

We identified 32 significantly mutated genes (SMGs), including TP53, ARID1A, PIK3CA, CDH1, and RHOA. Of these, PREX2, PIEZO1, and FSIP2 have not been previously

SUBMITTER: Wang H 

PROVIDER: S-EPMC8502137 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature