Identification of Differentially Expressed Genes in Cervical Cancer Patients by Comparative Transcriptome Analysis.

ABSTRACT: Cervical cancer is one of the most malignant reproductive diseases seen in women worldwide. The identification of dysregulated genes in clinical samples of cervical cancer may pave the way for development of better prognostic markers and therapeutic targets. To identify the dysregulated genes (DEGs), we have retrospectively collected 10 biopsies, seven from cervical cancer patients and three from normal subjects who underwent a hysterectomy. Total RNA isolated from biopsies was subjected to microarray analysis using the human Clariom D Affymetrix platform. Based on the results of principal component analysis (PCA), only eight samples are qualified for further studies; GO and KEGG were used to identify the key genes and were compared with TCGA and GEO datasets. Identified genes were further

SUBMITTER: S D A 

PROVIDER: S-EPMC8004372 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature