TY - JOUR
T1 - Proteogenomic data and resources for pan-cancer analysis
AU - Clinical Proteomic Tumor Analysis Consortium
AU - Li, Yize
AU - Dou, Yongchao
AU - Da Veiga Leprevost, Felipe
AU - Geffen, Yifat
AU - Calinawan, Anna P.
AU - Aguet, François
AU - Akiyama, Yo
AU - Anand, Shankara
AU - Birger, Chet
AU - Cao, Song
AU - Chaudhary, Rekha
AU - Chilappagari, Padmini
AU - Cieslik, Marcin
AU - Colaprico, Antonio
AU - Zhou, Daniel Cui
AU - Day, Corbin
AU - Domagalski, Marcin J.
AU - Esai Selvan, Myvizhi
AU - Fenyö, David
AU - Foltz, Steven M.
AU - Francis, Alicia
AU - Gonzalez-Robles, Tania
AU - Gümüş, Zeynep H.
AU - Heiman, David
AU - Holck, Michael
AU - Hong, Runyu
AU - Hu, Yingwei
AU - Jaehnig, Eric J.
AU - Ji, Jiayi
AU - Jiang, Wen
AU - Katsnelson, Lizabeth
AU - Ketchum, Karen A.
AU - Klein, Robert J.
AU - Lei, Jonathan T.
AU - Liang, Wen Wei
AU - Liao, Yuxing
AU - Lindgren, Caleb M.
AU - Ma, Weiping
AU - Ma, Lei
AU - MacCoss, Michael J.
AU - Martins Rodrigues, Fernanda
AU - McKerrow, Wilson
AU - Nguyen, Ngoc
AU - Oldroyd, Robert
AU - Pilozzi, Alexander
AU - Pugliese, Pietro
AU - Reva, Boris
AU - Wang, Pei
AU - Petralia, Francesca
AU - Chowdhury, Shrabanti
N1 - Publisher Copyright:
© 2023 The Authors
PY - 2023/8/14
Y1 - 2023/8/14
N2 - 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.
AB - 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.
KW - CPTAC
KW - data harmonization
KW - multi-omics
KW - open data
KW - pan-cancer
KW - proteogenomics
UR - http://www.scopus.com/inward/record.url?scp=85168062422&partnerID=8YFLogxK
U2 - 10.1016/j.ccell.2023.06.009
DO - 10.1016/j.ccell.2023.06.009
M3 - Review article
C2 - 37582339
AN - SCOPUS:85168062422
SN - 1535-6108
VL - 41
SP - 1397
EP - 1406
JO - Cancer Cell
JF - Cancer Cell
IS - 8
ER -