Proteogenomic Characterization Of Colorectal Cancer Using The Indivutype Multiomics Database

Cancer is a highly heterogeneous disease, both intra- and inter-individually consisting of complex phenotypes and systems biology. Although genomic data has contributed greatly towards the identification of cancer-specific mutations and the progress of precision medicine, genomic alterations are only one of several important biological drivers of cancer. Furthermore, single-layer omics represent only a small piece of the cancer biology puzzle and provide only partial clues to connecting genotype with phenotype. A more integrated approach is urgently needed to unravel the underpinnings of molecular signatures and the phenotypic manifestation of cancer hallmarks. We have developed IndivuType, a knowledge and discovery platform that combines genomics, transcriptomics, and proteomics datasets to identify putative therapeutic targets in a colorectal cancer (CRC) cohort of 500 patients. We identified hundreds of proteins dysregulated in CRC that are dependent on the genetic background of the patient. Further, we characterized these proteins using clinical parameters from the IndivuType database to prioritize targets for precision medicine approaches. This project highlights the utility of moving beyond solely genomics approaches to better understand the molecular mechanisms underpinning cancer. Citation Format: Margarita Krawczyk, Jonathan Woodsmith, Marcel Nutsoa, Thomas Corwin, Silvia von der Heyde, Vincent Piras, Mark Whittaker, Alex Hergovich, Peter Frommolt, Hartmut Juhl. Proteogenomic characterization of colorectal cancer using the IndivuType multiomics database [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 6587.