A Novel Data-Driven Prognostic Model for Staging of Colorectal Cancer

A novel data-driven methodology predicts the survival times of patients with colorectal cancer and identifies patterns of cancer characteristics. The methods lead to stage groupings that could redefine the composition of TNM in a simple and orderly way. The higher predictive power of lymph node ratio as compared with traditional pN lymph node stage has specific implications and may address the important question of accuracy of staging in patients when fewer than 12 nodes are identified in the resection specimen.