Integrative epigenome-transcriptome analysis unravels cancer-specific over-expressed genes potentially regulating immune microenvironment in clear cell renal cell carcinoma

• Published in: Biochimica et biophysica acta. General subjects Vol. 1868; no. 5; p. 130596
• Main Authors: Gadewal, Nikhil, Natu, Abhiram, Sen, Siddhartha, Rauniyar, Sukanya, Bastikar, Virupaksha, Gupta, Sanjay
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.05.2024
• Subjects: Carcinoma, Renal Cell - genetics; Carcinoma, Renal Cell - pathology; ccRCC; chromatin immunoprecipitation; data collection; DNA; DNA methylation; Epigenome; Gene Expression Profiling; gene ontology; histology; histone code; Histone modification; histones; Humans; Immune system; immunosuppression; immunotherapy; Kidney Neoplasms - genetics; Kidney Neoplasms - pathology; metastasis; multiomics; neoplasm progression; patients; prognosis; Receptors, Immunologic - genetics; renal cell carcinoma; transcriptome; Transcriptome - genetics; Tumor Microenvironment - genetics; TREML1; ccRCC; VWF; DNA methylation; Histone modification; TGFA; Epigenome; MSC; ADA; Immune system; RUNX1
• ISSN: 0304-4165; 1872-8006; 1872-8006
• DOI: 10.1016/j.bbagen.2024.130596

Clear cell Renal Cell Carcinoma (ccRCC) is the frequently diagnosed histological life-threatening tumor subtype in the urinary system. Integrating multi-omics data is emerging as a tool to provide a comprehensive view of biology and disease for better therapeutic interventions. We have integrated freely available ccRCC data sets of genome-wide DNA methylome, transcriptome, and active histone modification marks, H3K27ac, H3K4me1, and H3K4me3 specific ChIP-seq data to screen genes with higher expression. Further, these genes were filtered based on their effect on survival upon alteration in expression. The six multi-omics-based identified genes, RUNX1, MSC, ADA, TREML1, TGFA, and VWF, showed higher expression with enrichment of active histone marks and hypomethylated CpG in ccRCC. In continuation, the identified genes were validated by an independent dataset and showed a correlation with nodal and metastatic status. Furthermore, gene ontology and pathway analysis revealed that immune-related pathways are activated in ccRCC patients. The network analysis of six overexpressed genes suggests their potential role in an immunosuppressive environment, leading to tumor progression and poor prognosis. Our study shows that the multi-omics approach helps unravel complex biology for patient subtyping and proposes combination strategies with epi-drugs for more precise immunotherapy in ccRCC. [Display omitted] •Integrative analysis predicts six overexpressed genes in ccRCC.•The overexpressed genes associate with nodal and metastatic status of patients.•Network analysis showed association of genes with immunosuppressive environment.•Genes may be a potential marker in stratification for immunotherapy in ccRCC.