Ruling Out Early Distant Recurrence in Stage III Colon Cancer: A Simple 4-Variable Machine Learning Model with External Validation.

Authors

Shih-Feng Huang, Chao-Wen Hsu, Yu-Hsun Chen, Chih-Chien Wu, Yi-Kai Kao

Published in

Diseases of the colon and rectum. Sep 25, 2026. Epub Sep 25, 2026.

Abstract

Early distant recurrence within 18 months reflects aggressive tumor biology in Stage III colon cancer. Current anatomical staging often fails to capture this biological heterogeneity.
To develop and externally validate a simple, pathology-based model for ruling out early distant recurrence within 18 months in Stage III colon cancer.
Retrospective model development with external validation, following current machine-learning prediction-model reporting guidelines.
Derivation at a tertiary referral center; validation at an independent tertiary institution.
Three hundred thirty-one patients in the derivation cohort (62 events) and 142 in the external cohort (19 events) who underwent curative-intent colectomy for Stage III colon adenocarcinoma.
Early distant recurrence within 18 months. Secondary outcomes included disease-free survival and calibration performance.
A 4-variable XGBoost model (American Joint Committee on Cancer substage, lymph node ratio, perineural invasion, and differentiation) achieved a pooled out-of-fold area under the curve of 0.680 in the derivation cohort, comparable to conventional staging (0.625). Sensitivity (77.4%) and negative predictive value (89.8%) exceeded those of conventional staging. On external validation, the model yielded an area under the curve of 0.633 (vs 0.610 for conventional staging) and a negative predictive value of 90.8%, maintaining rule out performance of approximately 90% across both cohorts despite their differing recurrence rates. High-risk patients in the external cohort had worse disease-free survival (hazard ratio 1.83; 95% confidence interval 1.06-3.16). Exploratory subgroup analyses showed directionally consistent but statistically inconclusive results.
Retrospective design, limited molecular data, and small numbers of events in the external cohort.
A simple 4-predictor model using routine pathological variables provides consistent rule out performance for early distant recurrence within 18months across 2 independent cohorts. The model offers a practical risk-assessment tool for early postoperative counseling where molecular testing is unavailable. A web-based calculator was developed to support early postoperative risk assessment. See Video Abstract.

PMID:
42788791
Bibliographic data and abstract were imported from PubMed on 25 Sep 2026.

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