Proteogenomic data and resources for pan-cancer analysis
Published in Cancer Cell, 2023
Li, Y., Dou, Y., Da Veiga Leprevost, F., Geffen, Y., Calinawan, A.P. et al. Proteogenomic Data and resources for pan-cancer analysis. Cancer Cell (2023). https://doi.org/10.1016/j.ccell.2023.06.009 https://doi.org/10.1016/j.ccell.2023.06.009
The National Cancer Institute’s Clinical Proteomic Tumor Analysis Consortium (CPTAC) investigates tumors from a proteogenomic perspective, creating rich multi-omics datasets connecting genomic aberrations to cancer phenotypes. To facilitate pan-cancer investigations, we have generated harmonized genomic, transcriptomic, proteomic, and clinical data for >1000 tumors in 10 cohorts to create a cohesive and powerful dataset for scientific discovery. We outline efforts by the CPTAC pan-cancer working group in data harmonization, data dissemination, and computational resources for aiding biological discoveries. We also discuss challenges for multi-omics data integration and analysis, specifically the unique challenges of working with both nucleotide sequencing and mass spectrometry proteomics data..