Authors
J Joshua Smith, Natasha G Deane, Fei Wu, Nipun B Merchant, Bing Zhang, Aixiang Jiang, Pengcheng Lu, J Chad Johnson, Carl Schmidt, Christina E Bailey, Steven Eschrich, Christian Kis, Shawn Levy, M Kay Washington, Martin J Heslin, Robert J Coffey, Timothy J Yeatman, Yu Shyr, R Daniel Beauchamp
Publication date
2010/3/1
Journal
Gastroenterology
Volume
138
Issue
3
Pages
958-968
Publisher
WB Saunders
Description
BACKGROUND & AIMS
Staging inadequately predicts metastatic risk in patients with colon cancer. We used a gene expression profile derived from invasive, murine colon cancer cells that were highly metastatic in an immunocompetent mouse model to identify patients with colon cancer at risk of recurrence.
METHODS
This phase 1, exploratory biomarker study used 55 patients with colorectal cancer from Vanderbilt Medical Center (VMC) as the training dataset and 177 patients from the Moffitt Cancer Center as the independent dataset. The metastasis-associated gene expression profile developed from the mouse model was refined with 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 …
Total citations
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