Identification of 10 differentially expressed genes involved in the tumorigenesis of cervical cancer via next-generation sequencing.

ABSTRACT:

Background

The incidence and mortality of cervical cancer remain high in female malignant tumors worldwide. There is still a lack of diagnostic and prognostic markers for cervical carcinoma. This study aimed to screen differentially expressed genes (DEGs) between normal and cervical cancer tissues to identify candidate genes for further research.

Methods

Uterine cervical specimens were resected from our clinical patients after radical hysterectomy. Three patients' transcriptomic datasets were built by the next generation sequencing (NGS) results. DEGs were selected through the edgeR and DESeq2 packages in the R environment. Functional enrichment analysis, including GO/DisGeNET/KEGG/Reactome enrichment analysis, was performed. Normal and cervical cancer tissue data from the p

SUBMITTER: Xu J 

PROVIDER: S-EPMC11453159 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature