Postoperative prediction of disease-free survival in rectal cancer after neoadjuvant chemoradiotherapy and radical resection: a nomogram incorporating tumor regression grade and lymph node ratio

Purpose To develop and validate a nomogram incorporating tumor regression grade (TRG) and lymph node ratio (LNR) for predicting disease-free survival (DFS) after neoadjuvant chemoradiotherapy and radical resection for rectal cancer. Methods This retrospective study included 437 patients randomly divided into training (n = 305) and internal holdout validation (n = 132) cohorts, and 88 patients from an independent hospital for external validation. A nomogram estimating 3-year DFS was constructed using a multivariable Cox model. Performance was assessed using the concordance index (C-index), time-dependent area under the receiver operating characteristic curve (AUC), calibration, and decision curve analysis. Results Median follow-up in the original cohort was 35.38 months. In the training and internal holdout cohorts, 106 patients (24.3%) experienced recurrence, distant metastasis, or death, as did 25 patients (28.4%) in the external validation cohort. In the multivariable model, poorer DFS was associated with TRG 2–3 (hazard ratio [HR], 2.45; 95% CI, 1.29–4.65), ypT3–4 (HR, 2.15; 95% CI, 1.12–4.15), ypN-positive disease (HR, 3.39; 95% CI, 1.73–6.63), and higher LNR (HR per 0.1 increase, 1.18; 95% CI, 1.06–1.32). The C-index was 0.830 (95% CI, 0.787–0.876) in training and 0.805 (95% CI, 0.726–0.887) in internal validation; the optimism-corrected C-index in the training cohort was 0.825. Compared with a reference model containing only ypT and ypN categories, the final model showed higher AUCs in the training cohort (0.841 vs. 0.792; AUC difference, 0.049; 95% CI, 0.025–0.088; P = 0.003), internal holdout validation cohort (0.789 vs. 0.735; AUC difference, 0.054; 95% CI, 0.005–0.108; P = 0.036), and external validation cohort (0.861 vs. 0.819; AUC difference, 0.042; 95% CI, 0.003–0.081; P = 0.034). After Holm adjustment, the P values for the AUC comparisons were 0.009, 0.068, and 0.068 in the training, internal holdout validation, and external validation cohorts, respectively. External calibration showed deviations in some probability ranges; decision curve analysis suggested potential net benefit. Conclusions The four-predictor postoperative nomogram showed promising discrimination for 3-year DFS, while its calibration, clinical utility, and generalizability require further evaluation in larger independent studies.

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Journal
Frontiers in Oncology
Published
2026-11-11
DOI
https://doi.org/10.3389/fonc.2026.1969622
Primary Topic
Colorectal Cancer Surgical Treatments
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article
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article

Postoperative prediction of disease-free survival in rectal cancer after neoadjuvant chemoradiotherapy and radical resection: a nomogram incorporating tumor regression grade and lymph node ratio

Yuan Gao, Xuefeng Zheng, Zhaolin Du, Minghao Men et al.
Frontiers in Oncology
Colorectal Cancer Surgical Treatments
article

Postoperative prediction of disease-free survival in rectal cancer after neoadjuvant chemoradiotherapy and radical resection: a nomogram incorporating tumor regression grade and lymph node ratio

Yuan Gao, Xuefeng Zheng, Zhaolin Du, Minghao Men, Wenchang Yang, Yinling Li, Yunzhi Gao, Nan Zhang
article en

Abstract

Purpose To develop and validate a nomogram incorporating tumor regression grade (TRG) and lymph node ratio (LNR) for predicting disease-free survival (DFS) after neoadjuvant chemoradiotherapy and radical resection for rectal cancer. Methods This retrospective study included 437 patients randomly divided into training (n = 305) and internal holdout validation (n = 132) cohorts, and 88 patients from an independent hospital for external validation. A nomogram estimating 3-year DFS was constructed using a multivariable Cox model. Performance was assessed using the concordance index (C-index), time-dependent area under the receiver operating characteristic curve (AUC), calibration, and decision curve analysis. Results Median follow-up in the original cohort was 35.38 months. In the training and internal holdout cohorts, 106 patients (24.3%) experienced recurrence, distant metastasis, or death, as did 25 patients (28.4%) in the external validation cohort. In the multivariable model, poorer DFS was associated with TRG 2–3 (hazard ratio [HR], 2.45; 95% CI, 1.29–4.65), ypT3–4 (HR, 2.15; 95% CI, 1.12–4.15), ypN-positive disease (HR, 3.39; 95% CI, 1.73–6.63), and higher LNR (HR per 0.1 increase, 1.18; 95% CI, 1.06–1.32). The C-index was 0.830 (95% CI, 0.787–0.876) in training and 0.805 (95% CI, 0.726–0.887) in internal validation; the optimism-corrected C-index in the training cohort was 0.825. Compared with a reference model containing only ypT and ypN categories, the final model showed higher AUCs in the training cohort (0.841 vs. 0.792; AUC difference, 0.049; 95% CI, 0.025–0.088; P = 0.003), internal holdout validation cohort (0.789 vs. 0.735; AUC difference, 0.054; 95% CI, 0.005–0.108; P = 0.036), and external validation cohort (0.861 vs. 0.819; AUC difference, 0.042; 95% CI, 0.003–0.081; P = 0.034). After Holm adjustment, the P values for the AUC comparisons were 0.009, 0.068, and 0.068 in the training, internal holdout validation, and external validation cohorts, respectively. External calibration showed deviations in some probability ranges; decision curve analysis suggested potential net benefit. Conclusions The four-predictor postoperative nomogram showed promising discrimination for 3-year DFS, while its calibration, clinical utility, and generalizability require further evaluation in larger independent studies.

Frontiers in OncologyVol. 16
Qingdao University (CN), Affiliated Hospital of Qingdao University (CN)
Colorectal Cancer Surgical Treatments
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