Investigation of PAX8 Gene Associated Biomarkers of Cervical Cancer through In-Silico Analysis

Abstract

Globally, cervical cancer is the fourth most prevalent cancer among human females. This cancer is caused by human papillomavirus (HPV) regulated aberrant expression of various proliferation associated genes like PAX8. Current study has focused the susceptibility status of PAX8 gene variants for cervical cancer. For this study, coding sequence (CDS) and seven SNPs of PAX8 gene were retrieved from ENSEMBL database. Mutated CDS were prepared and analyzed via SOPMA tool, SWISSMODEL server and MEME suite. The alpha helix and random coil components of secondary (2D) structure and tertiary (3D) folding complexity were greatly reduced by SNPs L153X and R207*. Extended strand content was increased by D273Y, S337X, Y400X, S435* and T445M. Only mutation that altered the conserved protein motifs composition of protein as compared to wild type form domains, was L153X. Hence, two variants L153X and R207* might be recommended as biomarkers for prognosis and diagnosis of cervical cancer.