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Dataset Information

Characterization of gene expression profiles of esophageal cancer patients with different nonsynonymous tumor mutation burden.


ABSTRACT:

Background

Nonsynonymous tumor mutation burden (NSTMB) could affect the prognosis of esophageal cancer (EC) patients, but differentially expressed genes between EC patients with different NSTMB have not been explored. Our study aimed to compare differentially expressed genes between EC patients with different NSTMB (high vs. low).

Methods

RNA-seq data for EC patients were downloaded from The Cancer Genome Atlas (TCGA). The edgeR package was used to identify differentially expressed genes between patients with different NSTMB. Cell type identification by estimating relative subsets of known RNA transcripts (CIBERSORT) software was employed to underscore immune cell differences between patients with different NSTMB.

Results

In total, we discovered 2215 differentially ex

SUBMITTER: Li J 

PROVIDER: S-EPMC7396386 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature