Epithelial-mesenchymal transition biomarkers and support vector machine guided model in preoperatively predicting regional lymph node metastasis for rectal cancer.

ABSTRACT:

Background

Current imaging modalities are inadequate in preoperatively predicting regional lymph node metastasis (RLNM) status in rectal cancer (RC). Here, we designed support vector machine (SVM) model to address this issue by integrating epithelial-mesenchymal-transition (EMT)-related biomarkers along with clinicopathological variables.

Methods

Using tissue microarrays and immunohistochemistry, the EMT-related biomarkers expression was measured in 193 RC patients. Of which, 74 patients were assigned to the training set to select the robust variables for designing SVM model. The SVM model predictive value was validated in the testing set (119 patients).

Results

In training set, eight variables, including six EMT-related biomarkers and two clinicopathological variable

SUBMITTER: Fan XJ 

PROVIDER: S-EPMC3364123 | biostudies-literature | 2012 May

REPOSITORIES: biostudies-literature