Presentation Type
Poster
Discipline Track
Biomedical Science
Abstract Type
Research/Clinical
Abstract
Background: Hepatocellular carcinoma (HCC) is the most common type of liver cancer. Transient receptor potential vanilloid 1 (TRPV1) is a nonselective Ca2+ channel protein that is widely expressed and plays a significant role in cancer initiation and progression. However, the biological significance of TRPV1 in HCC has not been systematically and comprehensively investigated. Using deep data mining and transcriptomics analyses, in this study, we described the significance of TRPV1 expression and its association with HCC prognosis.
Methods: TRPV1 mRNA expression in HCC was examined using the Cancer Genome Atlas (TCGA), the Genotype Tissue Expression Atlas (GTEx), the Tumor Immune Estimation Resource (TIMER), and the UALCAN databases to examine the relationship between the expression of TRPV1 and the clinicopathological characteristics of HCC. The genetic alterations and frequency of TRPV1 were analyzed using the cBioPortal and COSMIC databases. The correlations between TRPV1 and tumor-infiltrating immune cells were examined using the TIMER 2.0, TISIDB, and GEPIA databases. The data processing analysis is based on the R language. LinkedOmics was used for TRPV1 co-expression network analysis.
Results: TRPV1 mRNA expression was upregulated in HCC samples as compared to normal liver tissues. Kaplan-Meier analysis demonstrated that high expression of TRPV1 is associated with better prognostic significance for overall survival (OS) and disease-free survival (DFS) in HCC patients. The mutation landscape analysis confirms that TRPV1 genetic alterations reached 6%, of which missense substitutions accounted for the highest proportion of 16.16%. The findings of the TIMER analysis indicated a correlation between immune cell infiltration and TRPV1 copy number alterations (CNA). The expression level of TRPV1 was positively correlated with the infiltration level of CD4+ T cells but negatively correlated with CD8+ T cells, B cells, macrophages, and dendritic cell infiltration. Additionally, TRPV1 expression was also found to be associated with certain immunosuppressive cells, chemokines, and receptors. Through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, TRPV1 expression was found to be closely related to some immune pathways, including drug metabolism, PPAR signaling pathway, and chemical carcinogenesis.
Conclusion: Our observation demonstrates that TRPV1 was highly expressed in HCC tissues and is linked to prognosis of HCC patients and tumor immune responses.
Academic/Professional Position
Faculty
Mentor/PI Department
Immunology and Microbiology
Recommended Citation
Kashyap, Vivek Kumar; Sharma, Bhuvnesh; Singh, Himanshu Narayan; Verma, Deepak; Parashar, Deepak; Yallapu, Murali M.; and Chauhan, Subhash C., "Integrative transcriptomics data analysis of TRPV1 in hepatocellular carcinoma" (2024). Research Symposium. 86.
https://scholarworks.utrgv.edu/somrs/2024/posters/86
Included in
Integrative transcriptomics data analysis of TRPV1 in hepatocellular carcinoma
Background: Hepatocellular carcinoma (HCC) is the most common type of liver cancer. Transient receptor potential vanilloid 1 (TRPV1) is a nonselective Ca2+ channel protein that is widely expressed and plays a significant role in cancer initiation and progression. However, the biological significance of TRPV1 in HCC has not been systematically and comprehensively investigated. Using deep data mining and transcriptomics analyses, in this study, we described the significance of TRPV1 expression and its association with HCC prognosis.
Methods: TRPV1 mRNA expression in HCC was examined using the Cancer Genome Atlas (TCGA), the Genotype Tissue Expression Atlas (GTEx), the Tumor Immune Estimation Resource (TIMER), and the UALCAN databases to examine the relationship between the expression of TRPV1 and the clinicopathological characteristics of HCC. The genetic alterations and frequency of TRPV1 were analyzed using the cBioPortal and COSMIC databases. The correlations between TRPV1 and tumor-infiltrating immune cells were examined using the TIMER 2.0, TISIDB, and GEPIA databases. The data processing analysis is based on the R language. LinkedOmics was used for TRPV1 co-expression network analysis.
Results: TRPV1 mRNA expression was upregulated in HCC samples as compared to normal liver tissues. Kaplan-Meier analysis demonstrated that high expression of TRPV1 is associated with better prognostic significance for overall survival (OS) and disease-free survival (DFS) in HCC patients. The mutation landscape analysis confirms that TRPV1 genetic alterations reached 6%, of which missense substitutions accounted for the highest proportion of 16.16%. The findings of the TIMER analysis indicated a correlation between immune cell infiltration and TRPV1 copy number alterations (CNA). The expression level of TRPV1 was positively correlated with the infiltration level of CD4+ T cells but negatively correlated with CD8+ T cells, B cells, macrophages, and dendritic cell infiltration. Additionally, TRPV1 expression was also found to be associated with certain immunosuppressive cells, chemokines, and receptors. Through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, TRPV1 expression was found to be closely related to some immune pathways, including drug metabolism, PPAR signaling pathway, and chemical carcinogenesis.
Conclusion: Our observation demonstrates that TRPV1 was highly expressed in HCC tissues and is linked to prognosis of HCC patients and tumor immune responses.