Association of collagen deep learning classifier with prognosis and chemotherapy benefits in stage II-III colon cancer.

ABSTRACT: The current tumor-node-metastasis staging system does not provide sufficient prognostic prediction or adjuvant chemotherapy benefit information for stage II-III colon cancer (CC) patients. Collagen in the tumor microenvironment affects the biological behaviors and chemotherapy response of cancer cells. Hence, in this study, we proposed a collagen deep learning (collagen^DL) classifier based on the 50-layer residual network model for predicting disease-free survival (DFS) and overall survival (OS). The collagen^DL classifier was significantly associated with DFS and OS (P < 0.001). The collagen^DL nomogram, integrating the collagen^DL classifier and three clinicopathologic predictors, improved the prediction performance, which showed satisfacto

SUBMITTER: Jiang W 

PROVIDER: S-EPMC10189440 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature