Genomics in Renal Cell Carcinoma

Abstract

Our work builds integrated genomics frameworks to understand genome dynamics by combining DNA sequence, structure, energetic features, variation, expression, and epigenetic signals. Early studies identified drug targets in cancer and pathogens and led to tools such as OncoRegulon and Pathogen-Specific DNA Drug Finder. We then demonstrated that solvation, stacking, and hydrogen-bonding energies can differentiate functional genomic regions, enabling structure- informed prediction of transcription start sites and intron–exon boundaries and the development of ChemGenome2.1. Postdoctoral research connected genomic alterations with transcriptional regulation in renal cancers, revealing aggressive markers and therapy-resistance mechanisms. At NIT Rourkela, we integrate bulk, single-cell, and spatial transcriptomics to map tumor progression, heterogeneity, immune–stromal interactions, and actionable targets for precision oncology.