Jump to: | Authorized Access | | | Attribution | | | Authorized Requests |
- Study Description
-
Important Links and Information
-
Request access via Authorized Access
- Instructions for requestors
- Data Use Certification (DUC) Agreement
- Talking Glossary of Genetic Terms
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.
- Study Design:
- Case Set
- Study Type:
- Case Set
- Total number of consented subjects: 468
- Subject Sample Telemetry Report (SSTR)
-
Request access via Authorized Access
- Authorized Access
- Publicly Available Data
- Link to other NCBI resources related to this study
- Study Inclusion/Exclusion Criteria
Inclusion criteria: patients with colorectal cancer specimen subjected to targeted gene sequencing.
- Molecular Data
-
Type Source Platform Number of Oligos/SNPs SNP Batch Id Comment 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)
-
- Primary Phenotype: Colorectal Neoplasms
- Links to Related Genes
- 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.
-
Principal Investigator