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Dataset Information

Screening of prognostic immune genes and establishment of prognostic model of cervical adenocarcinoma based on bioinformatics analysis.


ABSTRACT:

Background

There is currently a lack of clinical models to accurately predict the prognosis of cervical adenocarcinoma. This study aimed to explore the correlation between immune genes and the prognosis of cervical adenocarcinoma patients, and establish a prognostic model.

Methods

Transcriptome sequencing data sets and clinical data sets of cervical adenocarcinoma samples were downloaded from the Gene Expression Omnibus (GEO) database. Information about the immune gene was obtained from the ImmPort database. Differentially expressed genes and differentially expressed immune genes were screened in cervical adenocarcinoma tissue and normal cervical group by edgeR package. Differentially expressed immune genes were screened for prognosis-related immune genes by Cox analysis. Ta

SUBMITTER: Yi Y 

PROVIDER: S-EPMC9201121 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature