Proteo-genomics-guided interpretation of somatic mutations in cancer genomes.

Proteo-genomics analysis of 139,818 cancer patient genomes reveals mutation accumulation in key functional regions across 173 genes and 18 tumor types.

• Why it matters: Understanding the precise roles of mutated genes in tumor development remains incomplete, limiting the clinical application of mutation data for personalized cancer treatment.
• What they did: The study integrated protein structures with mutation data to create detailed functional maps, identifying mutation hotspots in domains such as DNA-binding, ligand-binding, catalytic, substrate-recognition, and degradation signals.
• The result: This framework enhances the interpretation of mutations in tumorigenesis and supports their integration into clinical workflows for precision medicine.