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Series GSE17536 Query DataSets for GSE17536
Status Public on Nov 14, 2009
Title Metastasis Gene Expression Profile Predicts Recurrence and Death in Colon Cancer Patients (Moffitt Samples)
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Background and Aims: Staging inadequately predicts metastatic risk in colon cancer patients. We used a gene expression profile derived from invasive murine colon cancer cells that were highly metastatic in an immunocompetent mouse model to identify colon cancer patients at risk for recurrence in a phase I, exploratory biomarker study.

Methods: 55 colorectal cancer patients from Vanderbilt Medical Center (VMC) were used as the training dataset and 177 patients from the Moffitt Cancer Center were used as the independent dataset. The metastasis-associated gene expression profile developed from the mouse model was refined using comparative functional genomics in the VMC gene expression profiles to identify a 34-gene classifier associated with high risk of metastasis and death from colon cancer. A recurrence score derived from the biologically based classifier was tested in the Moffitt dataset.

Results: A high score was significantly associated with increased risk of metastasis and death from colon cancer across all pathological stages and specifically in stage II and stage III patients. The recurrence score was shown to independently predict risk of cancer recurrence and death in both univariate and multivariate models. For example, among stage III patients, a high score translated to increased relative risk for cancer recurrence (hazard ratio = 4.7 (95% CI=1.566-14.05)). Furthermore, the recurrence score identified stage III patients whose five-year recurrence-free survival was >88% and for whom adjuvant chemotherapy did not provide improved survival.

Conclusion: Our biologically based gene expression profile yielded a potentially useful classifier to predict cancer recurrence and death independently of conventional measures in colon cancer patients.

Keywords: Functional genomics, metastatic colon cancer, mouse model, human colon cancer
Overall design Gene expression array differences between highly invasive mouse colon cancer cells and non-invasive colon cancer cells were used to develop a metastasis gene expression profile. It was refined using gene expression data from 55 patient (VMC) samples and trained using 177 patient (Moffitt) samples.
Contributor(s) Smith JJ, Beauchamp RD
Citation(s) 19914252, 22115830, 25916654, 30606770
Submission date Aug 06, 2009
Last update date Aug 03, 2020
Contact name Pengcheng Lu
Organization name Vanderbilt University
Street address 2200 Pierce Avenue
City Nashville
State/province TN
ZIP/Postal code 37232
Country USA
Platforms (1)
GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array
Samples (177)
GSM437093 MCC Patient 1
GSM437094 MCC Patient 2
GSM437095 MCC Patient 3
This SubSeries is part of SuperSeries:
GSE17538 Experimentally Derived Metastasis Gene Expression Profile Predicts Recurrence and Death in Colon Cancer Patients
BioProject PRJNA123343

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE17536_RAW.tar 1.5 Gb (http)(custom) TAR (of CEL)
Raw data provided as supplementary file
Processed data included within Sample table

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