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Study Description

Colorectal cancer (CRC) is a highly heterogeneous disease, for which prognosis has been relegated to clinic-pathologic staging for decades. There is a need to molecularly stratify subpopulations of CRC to better predict outcome and assign therapies. Here we report targeted exome sequencing of 1,321 cancer-related genes on 468 tumor specimens, which identified a subset of 17 genes that best classify CRC, with APC (Gene ID: 324) playing a central role in predicting overall survival. APC may assume 0, 1, or 2 truncating mutations, each with a striking differential impact on survival. Tumors lacking any APC mutation carry a worse prognosis than single APC mutation tumors, but tumors with two APC mutations and KRAS (Gene ID: 3845) and TP53 (Gene ID: 7157) mutations confer the poorest survival among all the subgroups examined. Our study demonstrates a substantial prognostic role for APC and suggests that sequencing of APC may have clinical utility in the routine staging and potential therapeutic assignment for CRC.

Authorized Access
Publicly Available Data (Public ftp)
Study Inclusion/Exclusion Criteria

Inclusion criteria: patients with colorectal cancer specimen subjected to targeted gene sequencing.

Molecular Data
TypeSourcePlatformNumber of Oligos/SNPsSNP Batch IdComment
Targeted Exome Sequencing Illumina Genome Analyzer IIX N/A N/A
Targeted Exome Sequencing Agilent SureSelect XT Custom Capture N/A N/A
Selected Publications
Diseases/Traits Related to Study (MeSH terms)
Links to Related Genes
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Authorized Data Access Requests
See research articles citing use of the data from this study
Study Attribution
  • Principal Investigator
    • Timothy Yeatman, MD. Gibbs Cancer Center and Research Institute, SC, USA.
  • Funding Source
    • U01CA157960. National Institutes of Health, Bethesda, MD, USA.