Proteogenomic data and resources for pan-cancer analysis

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…

• UD
  U.S. Department of Health and Human Services

  Award: 75N91019D00024
• BI
  Broad Institute
• L
  Leidos

  Award: 75N91019D00024
• NI
  National Institutes of Health

  Awards: T32CA203690, 75N91019D00024, U24CA210955, 75N91020F00029, U24CA210985, 20X042F01/TO01, U24CA210954, U24CA210972, U24CA210986, U01CA214114, U24CA210967, T32GM136542, U01CA214116, 7591029F00029, U01CA214125, U24CA210979, U24CA210993
• NC
  National Cancer Institute

  Awards: U24CA210993, U01CA214116, R33CA263705, U24CA210986, U24CA210954, T32CA203690, 75N91019D00024, U24CA210972, U24CA210985, U01CA214114, U24CA210979, U01CA214125, U24CA210967, U24CA210955
• NI
  National Institute of General Medical Sciences

  Award: T32GM136542