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ABSTRACT: Objective
To explore the mutated genes in esophageal cancer (ESCA), and evaluate its relationship with tumor mutation burden (TMB) and prognosis of ESCA, and analyze the advantages of FAT3 as a potential prognostic marker in ESCA.Methods
The somatic mutation landscape was analyzed according to ESCA samples from the TCGA and ICGC database. The differences of TMB between mutant type and wild type of frequently mutated genes were compared by Mann-Whitney U test. The association of gene mutations with prognosis was analyzed by Kaplan-Meier method. The relative abundance of 22 tumor-infiltrating lymphocyte subsets in ESCA was calculated by CIBERSORT algorithm.Results
FAT3 was a high frequency mutation in both TCGA and ICGC samples from the somatic mutation landscape. The
SUBMITTER: Guo Z
PROVIDER: S-EPMC8018597 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature