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  3. An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics.
 

An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics.

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BORIS DOI
10.7892/boris.126371
Date of Publication
April 5, 2018
Publication Type
Article
Contributor
Liu, Jianfang
Lichtenberg, Tara
Hoadley, Katherine A
Poisson, Laila M
Lazar, Alexander J
Cherniack, Andrew D
Kovatich, Albert J
Benz, Christopher C
Levine, Douglas A
Lee, Adrian V
Omberg, Larsson
Wolf, Denise M
Shriver, Craig D
Thorsson, Vesteinn
Subject(s)

600 - Technology::610...

Series
Cell
ISSN or ISBN (if monograph)
0092-8674
Publisher
Cell Press
Language
English
Publisher DOI
10.1016/j.cell.2018.02.052
PubMed ID
29625055
Uncontrolled Keywords

Cox proportional haza...

Description
For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/64155
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1-s2.0-S0092867418302290-main.pdftextAdobe PDF6.22 MBAttribution-NonCommercial-NoDerivatives (CC BY-NC-ND 4.0)publishedOpen
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