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Proteogenomic data and resources for pan-cancer analysis.

Authors :
Li Y
Dou Y
Da Veiga Leprevost F
Geffen Y
Calinawan AP
Aguet F
Akiyama Y
Anand S
Birger C
Cao S
Chaudhary R
Chilappagari P
Cieslik M
Colaprico A
Zhou DC
Day C
Domagalski MJ
Esai Selvan M
Fenyö D
Foltz SM
Francis A
Gonzalez-Robles T
Gümüş ZH
Heiman D
Holck M
Hong R
Hu Y
Jaehnig EJ
Ji J
Jiang W
Katsnelson L
Ketchum KA
Klein RJ
Lei JT
Liang WW
Liao Y
Lindgren CM
Ma W
Ma L
MacCoss MJ
Martins Rodrigues F
McKerrow W
Nguyen N
Oldroyd R
Pilozzi A
Pugliese P
Reva B
Rudnick P
Ruggles KV
Rykunov D
Savage SR
Schnaubelt M
Schraink T
Shi Z
Singhal D
Song X
Storrs E
Terekhanova NV
Thangudu RR
Thiagarajan M
Wang LB
Wang JM
Wang Y
Wen B
Wu Y
Wyczalkowski MA
Xin Y
Yao L
Yi X
Zhang H
Zhang Q
Zuhl M
Getz G
Ding L
Nesvizhskii AI
Wang P
Robles AI
Zhang B
Payne SH
Source :
Cancer cell [Cancer Cell] 2023 Aug 14; Vol. 41 (8), pp. 1397-1406.
Publication Year :
2023

Abstract

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.<br />Competing Interests: Declaration of interests F.A. is an inventor on a patent application related to SignatureAnalyzer-GPU filed by the Broad Institute and is an employee and shareholder of Illumina Inc. since 8 November 2021.<br /> (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1878-3686
Volume :
41
Issue :
8
Database :
MEDLINE
Journal :
Cancer cell
Publication Type :
Academic Journal
Accession number :
37582339
Full Text :
https://doi.org/10.1016/j.ccell.2023.06.009