Affiliation:
1. Department of Biochemistry All India Institute of Medical Sciences Jodhpur Jodhpur Rajasthan India
2. Rajiv Gandhi Centre for Biotechnology Thiruvananthapuram Kerala India
3. Department of Life Sciences Manipal Academy of Higher Education Dubai United Arab Emirates
4. Department of Medical Biochemistry and Biophysics Karolinska Institute Stockholm Sweden
Abstract
AbstractBackgroundThe present study aimed to identify dysregulated genes, molecular pathways, and regulatory mechanisms in human papillomavirus (HPV)‐associated cervical cancers. We have investigated the disease‐associated genes along with the Gene Ontology, survival prognosis, transcription factors and the microRNA (miRNA) that are involved in cervical carcinogenesis, enabling a deeper comprehension of cervical cancer linked to HPV.MethodsWe used 10 publicly accessible Gene Expression Omnibus (GEO) datasets to examine the patterns of gene expression in cervical cancer. Differentially expressed genes (DEGs), which showed a clear distinction between cervical cancer and healthy tissue samples, were analyzed using the GEO2R tool. Additional bioinformatic techniques were used to carry out pathway analysis and functional enrichment, as well as to analyze the connection between altered gene expression and HPV infection.ResultsIn total, 48 DEGs were identified to be differentially expressed in cervical cancer tissues in comparison to healthy tissues. Among DEGs, CCND1, CCNA2 and SPP1 were the key dysregulated genes involved in HPV‐associated cervical cancer. The five common miRNAs that were identified against these genes are miR‐7‐5p, miR‐16‐5p, miR‐124‐3p, miR‐10b‐5p and miR‐27a‐3p. The hub‐DEGs targeted by miRNA hsa‐miR‐27a‐3p are controlled by the common transcription factor SP1.ConclusionsThe present study has identified DEGs involved in HPV‐associated cervical cancer progression and the various molecular pathways and transcription factors regulating them. These findings have led to a better understanding of cervical cancer resulting in the development and identification of possible therapeutic and intervention targets, respectively.