Investigation of molecular mechanisms underlying JAK/STAT signaling pathway in HPV-induced cervical carcinogenesis using 'omics' approach.
Kulbhushan ThakurDivya JanjuaGauri ShishodiaArun ChhokarNikita AggarwalJoni YadavTanya TripathiApoorva ChaudharyAnna SenrungAlok Chandra BhartiPublished in: Medical oncology (Northwood, London, England) (2022)
The precise mechanism of action of Janus Kinases (JAK)/Signal Transducer and activator of Transcription (STAT) signaling in human papillomavirus (HPV)-associated cervical cancer (CaCx) is poorly defined. The present study dissected the underlying components of JAK/STAT signaling in HPV-positive cervical neoplasms. Whole transcriptome profile of CaCx cohort from TCGA database revealed elevated STAT3 and its impact on CaCx patients' survival. Using the RT 2 Profiler PCR Array, we analyzed 84 genes of interest associated with JAK/STAT signaling in mRNA derived from HPV-negative and HPV-positive cervical lesions which revealed 21 differentially expressed genes (DEGs). Analyses of DEGs using the Database for Annotation, Visualization and Integrated Discovery tool indicated maximum genes enriched in immune response and negative regulation of apoptotic process. Protein-protein network analysis indicated IL4, STAT5A, STAT4, and JAK3 to be the key genes in the interaction network. Further, 7 key DEGs (IL4R, IRF1, EGFR, OAS1, PIAS1, STAT4, and STAT5A) were validated in TCGA cohort using R2 platform. These genes were differentially expressed among HPV-positive cervical tissues and their correlation with STAT3 was established. EGFR and IL4R showed a comparatively strong correlation with STAT3 that supports their involvement in pathogenesis of CaCx. Finally, the Kaplan-Meier analysis established the prognostic association of the key DEGs, in CaCx cohort. The STAT3 and associated key genes discovered from our study establish a strong pathogenic role of JAK/STAT3 pathway in HPV-mediated cervical carcinogenesis.
Keyphrases
- cell proliferation
- high grade
- genome wide
- immune response
- small cell lung cancer
- signaling pathway
- bioinformatics analysis
- genome wide identification
- protein protein
- gene expression
- network analysis
- cervical cancer screening
- tyrosine kinase
- epidermal growth factor receptor
- ejection fraction
- dendritic cells
- emergency department
- newly diagnosed
- high resolution
- toll like receptor
- mass spectrometry
- pi k akt
- epithelial mesenchymal transition
- oxidative stress
- genome wide analysis
- transcription factor
- nuclear factor
- adverse drug
- electronic health record
- endoplasmic reticulum stress
- anti inflammatory