Identification and validation of novel biomarker TRIM8 related to cervical cancer.

ABSTRACT:

Background

Cervical cancer, as a common gynecological disease, endangers female health. Give the lack of effective biomarkers for the diagnosis and treatment of cervical cancer, this paper aims to analyze the Gene Expression Omnibus (GEO) data sets using comprehensive bioinformatics tools, and to identify biomarkers associated with the cancer in patient samples.

Methods

The bioinformatics methods were used to extract genes related to cervical cancer from GSE39001, while the GEO2R online tool to elaborate on differentially expressed genes (DEGs) in normal and cancer samples, and to clarify related genes and functions. The results were verified by IHC, WB, CCK-8, clone formation and flow cytometry experiments.

Results

A total of 2,859 DEGs were identified in the GEO mic

SUBMITTER: Zhang L 

PROVIDER: S-EPMC9638460 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature