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Background <p>Lymph node ratio (LNR) is associated with the prognosis of malignant tumours. For elderly patients, the prognostic nutrition index (PNI) is also a vital factor for evaluating long-term survival after radical surgery. We aimed to develop a nomogram to predict the survival of elderly patients with locally advanced gastrointestinal malignancies.</p> Methods <p>Clinical data of elderly patients with locally advanced gastric cancer (GC) or colorectal cancer (CRC) who underwent radical curative surgery at our centre from January 2010 to 2021 were retrospectively reviewed and collected. Using the surv_cutpoint function, we calculated the cut-off values of LNR and prognostic PNI and then divided the GC patients and CRC patients into two groups separately. The method was used to plot cumulative survival curves, and Cox proportional hazards models were used to assess factors influencing disease-free survival (DFS). A survival nomogram was constructed based on the factors screened from the multivariate analysis. We validated the model’s reliability through two approaches: an internal 7:3 random split and a longitudinal external validation, ensuring that the findings were both stable and generalisable.</p> Results <p>A total of 548 patients—340 with GC and 208 with CRC—with a median age of 69&#xa0;years were included. The calculated cut-off values for the LNR were 0.21 for GC patients and 0.12 for CRC patients, whereas the PNI thresholds were set at 52.64 and 49.53, respectively. Based on these thresholds, patients were categorised into high-risk (LNR-high and PNI-low), low-risk, and intermediate-risk groups. Multivariate Cox regression analysis revealed that LNR-high status and PNI-low status (high-risk group), vessel carcinoma embolus status, perineural invasion status, abnormal tumour marker levels and incomplete adjuvant chemotherapy were independent risk factors for lowered survival. The constructed nomogram demonstrated robust discriminative power, with AUCs for 1-, 2-, and 3&#xa0;year DFS consistently exceeding 0.84 in both the internal and temporal validation cohorts. Subgroup analyses further confirmed the model’s stable predictive efficacy across both the GC and CRC cohorts.</p> Conclusions <p>The LNR combined with the PNI could better predict the prognosis of elderly patients with locally advanced gastrointestinal neoplasms.</p> <p><i>Trial registration </i>This study was approved and supervised by the Research Ethics Committee of Peking University Cancer Hospital and Institute, Beijing, China (2025KT175). All methods and experimental protocols were carried out in accordance with relevant guidelines and regulations. All patients have signed informed consent to use these experimental data.</p>

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A novel prognostic model based on lymph node ratio combined with prognostic nutrition index predicts survival in elderly patients with locally advanced gastrointestinal neoplasms

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月11日

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  • Shun-yu Deng,
  • Mao-xing Liu,
  • Fei Tan,
  • Jia-Di Xing,
  • Pin Gao,
  • Kai Xu,
  • Xiang-Qian Su

摘要

Background

Lymph node ratio (LNR) is associated with the prognosis of malignant tumours. For elderly patients, the prognostic nutrition index (PNI) is also a vital factor for evaluating long-term survival after radical surgery. We aimed to develop a nomogram to predict the survival of elderly patients with locally advanced gastrointestinal malignancies.

Methods

Clinical data of elderly patients with locally advanced gastric cancer (GC) or colorectal cancer (CRC) who underwent radical curative surgery at our centre from January 2010 to 2021 were retrospectively reviewed and collected. Using the surv_cutpoint function, we calculated the cut-off values of LNR and prognostic PNI and then divided the GC patients and CRC patients into two groups separately. The method was used to plot cumulative survival curves, and Cox proportional hazards models were used to assess factors influencing disease-free survival (DFS). A survival nomogram was constructed based on the factors screened from the multivariate analysis. We validated the model’s reliability through two approaches: an internal 7:3 random split and a longitudinal external validation, ensuring that the findings were both stable and generalisable.

Results

A total of 548 patients—340 with GC and 208 with CRC—with a median age of 69 years were included. The calculated cut-off values for the LNR were 0.21 for GC patients and 0.12 for CRC patients, whereas the PNI thresholds were set at 52.64 and 49.53, respectively. Based on these thresholds, patients were categorised into high-risk (LNR-high and PNI-low), low-risk, and intermediate-risk groups. Multivariate Cox regression analysis revealed that LNR-high status and PNI-low status (high-risk group), vessel carcinoma embolus status, perineural invasion status, abnormal tumour marker levels and incomplete adjuvant chemotherapy were independent risk factors for lowered survival. The constructed nomogram demonstrated robust discriminative power, with AUCs for 1-, 2-, and 3 year DFS consistently exceeding 0.84 in both the internal and temporal validation cohorts. Subgroup analyses further confirmed the model’s stable predictive efficacy across both the GC and CRC cohorts.

Conclusions

The LNR combined with the PNI could better predict the prognosis of elderly patients with locally advanced gastrointestinal neoplasms.

Trial registration This study was approved and supervised by the Research Ethics Committee of Peking University Cancer Hospital and Institute, Beijing, China (2025KT175). All methods and experimental protocols were carried out in accordance with relevant guidelines and regulations. All patients have signed informed consent to use these experimental data.