In the testing set, Snail (OR, 4.286; 95% CI, 1.692–10.858; P =0.002) and SVM model (OR, 9.231; 95% CI, 3.588–23.751; P <0.0001) showed significantly high power in predicting RLNM status; whereas age (OR, 1.970; 95% CI, 0.895–4.334; P =0.092) and nuclear β -catenin (OR, 2.981; 95% CI, 0.847–10.486; P =0.089) were of borderline significance.
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Epithelial-mesenchymal transition biomarkers and support vector machine guided model in preoperatively predicting regional lymph node metastasis for rectal cancer.
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In the training set, age (OR, 2.410; 95% CI, 0.947–6.131; P =0.065) showed borderline significance in predicting RLNM status.