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Dataset Information

Methylation-related differentially expressed genes as potential prognostic biomarkers for cervical cancer.


ABSTRACT:

Aim

To discover novel methylation-related differentially expressed genes (MRDEGs) for cervical cancer, with a focus on their potential for early diagnosis and prognostic assessment.

Materials & methods

We integrated data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. TCGA-MRDEGs were identified by analyzing differentially methylated genes (DMGs) and their correlation with gene expression. We examined GEO datasets GSE39001, GSE9750, and GSE46306 for GEO-MRDEGs. Overlapping MRDEGs were subjected to overall survival (OS) analysis to identify prognostic markers. The expression and methylation levels of these genes were validated in a total of 30 tissue samples, comprising 20 from cervical cancer patients and 10 from normal cervical tissues, usin

SUBMITTER: Chen Y 

PROVIDER: S-EPMC11387271 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature