Integrative histopathologic, proteomic, phosphoproteomic, genomic, and transcriptomic characterization of renal cell carcinoma
CANCER RESEARCH(2024)
Abstract
Abstract Although histologically defined subtypes exist, renal cell carcinoma (RCC) is a heterogenous disease, resulting in various treatment outcomes and prognosis. Here, we conduct comprehensive profiling of RCC with histopathologic, proteomic, phosphoproteomic, genomic, and transcriptomic analyses on tumor and paired adjacent normal tissues from 113 patients. RCC tumors are distinctly separated from corresponding normal tissues through multi-omics clustering, a distinction further supported by pathway analysis. In addition, various hallmarks of cancer were differentially observed at the individual patient level, highlighting the intertumoral heterogeneity of RCC. Proteomic subtyping classifies RCC tumors into four subtypes (C1-4) with distinct phosphoproteomic, genomic, and transcriptomic characteristics with prognostic and predictive implications. Among these subtypes, C1-3 were almost composed of clear cell RCC (ccRCC; 96.8%), whereas C4 was composed of non-clear cell RCC (nccRCC) or other types of cancer (100.0%). Among each subtype, C1 (N=37) exhibits the strongest adaptive immune response and angiogenesis with favorable prognosis after surgical resection. C2 (N=39) was characterized with enrichment in DNA repair pathways and alteration in VHL (100.0%) along with BAP1 (24.0%) genes. C3 (N=19) was associated with enrichment in inflammatory response with dismal prognosis and therapeutic resistance to tyrosine kinase inhibitors targeting vascular endothelial growth factor receptors. C4 (N=18) was exclusively enriched with nccRCC with active mitochondrial and oxidation phosphorylation. Transglutaminase 2 (TGM2), a crosslinking enzyme, is identified as a potential marker with therapeutic implication for ccRCC. Collectively, this study reports a large-scale multi-omics-based approach of RCC, providing insights into biologic underpinning and evidence for rational treatment selection as well as linking the multi-omics-derived phenotypes to clinical outcomes of ccRCC. Citation Format: Woo Sun Kwon, Chang Gon Kim, Harim Koo, Woo Kyun Bae, Eu Chang Hwang, Won Sik Ham, Nam Hoon Cho, Jason K. Sa, Jong Bae Park, Sun Young Rha. Integrative histopathologic, proteomic, phosphoproteomic, genomic, and transcriptomic characterization of renal cell carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1846.
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