Based on gene expression, we have classified 53 colon cancer patients with UICC II into two groups: relapse and no relapse. Samples were taken from each patient, and gene information was extracted. Of the 53 samples examined, 500 genes were considered proper through analyses by S-Kohonen, BP, and SVM neural networks. Classification accuracy obtained by S-Kohonen neural network reaches 91%, which was more accurate than classification by BP and SVM neural networks.
The aims of this study were to explore the correlation between the expression of EpCAM and the Wnt/β-catenin pathway in human colon cancer and its clinical significance for the evaluation of cancer prognosis. Samples from colon cancer, para-carcinoma, or benign intestinal tissue from individual patients (50) and from normal intestinal mucosal tissues (20) were obtained from the Pathology Department of the Shandong Province Binzhou People’s Hospital (Shandong, China).
Genetic and epigenetic factors affecting DNA methylation and gene expression are known to be involved in the development of colon cancer, but the full range of genetic alterations and many key genes involved in the pathogenesis of colon cancer remain to be identified. NPRL2 is a candidate tumor suppressor gene identified in the human chromosome 3p21.3 region. We evaluated the role of this gene in the pathogenesis of colorectal cancer by investigating NPRL2 mRNA expression in 55 matched normal and tumor colon tissue samples using quantitative RT-PCR analysis.