Cell
Volume 173, Issue 2, 5 April 2018, Pages 400-416.e11
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Article
An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics

https://doi.org/10.1016/j.cell.2018.02.052Get rights and content
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Highlights

  • Generation of TCGA Clinical Data Resource for 11,160 patients over 33 cancer types

  • Analysis of clinical outcome endpoints with usage recommendations for each cancer

  • Demonstration of data validity and utility for large-scale translational research

Summary

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.

Keywords

The Cancer Genome Atlas
TCGA
clinical data resource
translational research
follow-up time
overall survival
disease-specific survival
disease-free interval
progression-free interval
Cox proportional hazards regression model

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