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Dataset Information

Identification of a three-gene prognostic signature for radioresistant esophageal squamous cell carcinoma.


ABSTRACT:

Background

Esophageal squamous cell carcinoma (ESCC) is causing a high mortality rate due to the lack of efficient early prognosis markers and suitable therapeutic regimens. The prognostic role of genes responsible for the acquisition of radioresistance in ESCC has not been fully elucidated.

Aim

To establish a prognostic model by studying gene expression patterns pertinent to radioresistance in ESCC patients.

Methods

Datasets were obtained from the Gene Expression Omnibus and The Cancer Genome Atlas databases. The edgeR, a Bioconductor package, was used to analyze mRNA expression between different groups. We screened genes specifically responsible for radioresistance to estimate overall survival. Pearson correlation analysis was performed to confirm whether the expres

SUBMITTER: Wang XY 

PROVIDER: S-EPMC9850665 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature