ReviewInternational journal of molecular sciences2026
From Genes to Proteins: The Indispensable Role of Proteogenomics in Advancing Clear Cell Renal Cell Carcinoma Research.
Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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8 authors.
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Abstract
Clear cell renal cell carcinoma (ccRCC) is characterized by a complex molecular landscape driven by recurrent genetic alterations. While genomic and transcriptomic profiling have identified core drivers, they often fail to provide robust biomarkers due to the significant decoupling of mRNA and protein levels, as well as the critical role of post-translational modifications in tumor biology. This review synthesizes current evidence from landmark proteogenomic initiatives, such as the Clinical Proteomic Tumor Analysis Consortium (CPTAC), and independent multi-omic studies. It evaluates the integration of genomic, transcriptomic, and proteomic data to map metabolic reprogramming, signalling pathway activity, and chromatin-level alterations in ccRCC. Proteogenomic analyses reveal that protein-level data provide a functional perspective that is missing from sequencing alone, specifically identifying suppressed oxidative phosphorylation, enhanced glycolysis, and the activation of the PI3K/AKT/mTOR cascade, independent of genetic mutations. Furthermore, proteogenomics has defined novel molecular subtypes and individual protein biomarkers, such as UCHL1 and p-mTOR, which correlate more accurately with clinical outcomes and therapeutic responses than their transcriptomic counterparts. Proteogenomics is a crucial tool for refining disease taxonomy and identifying novel therapeutic vulnerabilities in ccRCC. By bridging the gap between genotype and functional phenotype, this integrated approach facilitates more precise risk stratification and accelerates the development of personalized medicine through better-informed selection of targeted and immune-based therapies.
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