Application of Protein-Protein interaction network analysis in order to identify Cervical cancer miRNA and mRNA biomarkers

Abstract

Cervical cancer (CC) is one of the world's most common and severe cancers. This cancer includes two histological types Squamous cell carcinoma (SCC) and adenocarcinoma (ADC).In this project, SCC has been studied. The current study aims to identify novel potential candidate mRNA and miRNA biomarkers for CC based on a Protein-Protein Interaction (PPI) and miRNA-mRNA networks analysis. The current project utilized a transcriptome profile for normal and CC samples. First, the PPI network was constructed for the 1335 DEGs, and then a significant gene module was extracted from the PPI network. Next, a list of miRNAs targeting module's genes was collected from the miRTarBaseonline database, and a miRNA-mRNA regulatory network was formed. Afterward, CC driver genes were selected from the module's genes (MCM2, MCM10, POLA1, and TONSL) and introduced as potential candidate biomarkers for CC. As well as, two hub miRNAs, including miR-193b-3p and miR-615-3p, were selected from the miRNA-mRNA regulatory network and reported as possible candidate biomarkers for CC. In summary, six potential candidate RNA-based biomarkers consist of four genes containing MCM2, MCM10, POLA1, and TONSL, and two miRNAs containing miR-193b-3p and miR-615-3p are opposed as potential candidate biomarkers for CC.