The Predictive Value of the Systemic Immune‐Inflammation Index Combined With Clinical Stage for the Prognosis of Oesophageal Cancer Patients Treated With Radiotherapy: A Retrospective Cohort Study and Meta‐Analysis
- 1Changzhou Cancer Hospital (Changzhou Fourth People's Hospital)
Abstract
Objective This study aimed to investigate the relationship between the systemic immune‐inflammation index (SII) and prognosis in patients with oesophageal cancer undergoing radiotherapy, and to evaluate the incremental prognostic value of combining SII with clinical TNM stage. Method A retrospective analysis was performed on 159 patients with locally advanced oesophageal squamous cell carcinoma who received radiotherapy. The optimal cut‐off value for pre‐radiotherapy SII was determined using receiver operating characteristic (ROC) curve analysis, and patients were stratified into low‐ and high‐SII groups accordingly. Univariate and multivariate Cox regression analyses were employed to identify independent prognostic factors. The predictive performance of SII alone, TNM stage alone, and their combination was compared. Primary endpoints were overall survival (OS) and progression‐free survival (PFS). Results The optimal pre‐radiotherapy SII cut‐off was 506.63. SII showed a tendency to increase during the course of radiotherapy. Short‐term efficacy in the low‐SII group was significantly better than that in the high‐SII group (p = 0.042). Significant differences were observed between the two groups in 1‐year, 3‐year, and 5‐year OS and PFS rates (all p < 0.05). Multivariate Cox regression analysis identified tumour location, TNM stage, gross tumour volume, and pre‐radiotherapy SII as independent prognostic factors (all p < 0.05). The area under the curve (AUC) for the combination of SII and TNM stage in predicting survival was significantly larger than that of SII or TNM stage alone. The combined SII‐TNM model demonstrated superior predictive performance compared with either parameter individually (both p < 0.05). Conclusion Pre‐radiotherapy SII serves as an independent prognostic factor in oesophageal cancer patients undergoing radiotherapy, with higher SII values associated with poorer survival outcomes. Integrating SII with TNM stage provides enhanced predictive accuracy for prognosis in this patient population.
Related
- Circulating MicroRNAs Reflect Systemic Inflammation and Metabolic Dysfunction in Oesophageal Squamous Cell Carcinoma-Associated Cachexia.
- Heterogeneous nuclear ribonucleoproteins depict a new predictive risk model for ovarian cancer prognosis and immunotherapy
- Predictive value of cardiac magnetic resonance atrial and ventricular strain for adverse prognosis in patients with myocarditis: a systematic review and meta-analysis
- Assessment of predictive efficacy for prognosis of pediatric severe Mycoplasma pneumoniae pneumonia: a comprehensive study based on high-resolution computed tomography imaging and platelet parameters
- Predictive Value of the Systemic Immune-Inflammation Index for Cardiovascular Events in Patients With Chronic Total Coronary Occlusion
BibTeX
@article{ou2026predictive,
title = {{The Predictive Value of the Systemic Immune‐Inflammation Index Combined With Clinical Stage for the Prognosis of Oesophageal Cancer Patients Treated With Radiotherapy: A Retrospective Cohort Study and Meta‐Analysis}},
author = {Yao Ou and Qian Liu and Dan Yang and Ling Chen and Jingping Yu},
journal = {Cancer medicine},
year = {2026},
month = oct,
doi = {10.1002/cam4.72431},
url = {https://europepmc.org/article/PMC/PMC13691295},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - The Predictive Value of the Systemic Immune‐Inflammation Index Combined With Clinical Stage for the Prognosis of Oesophageal Cancer Patients Treated With Radiotherapy: A Retrospective Cohort Study and Meta‐Analysis
AU - Yao Ou
AU - Qian Liu
AU - Dan Yang
AU - Ling Chen
AU - Jingping Yu
PY - 2026
DA - 2026/10/01
JO - Cancer medicine
DO - 10.1002/cam4.72431
UR - https://europepmc.org/article/PMC/PMC13691295
AB - Objective This study aimed to investigate the relationship between the systemic immune‐inflammation index (SII) and prognosis in patients with oesophageal cancer undergoing radiotherapy, and to evaluate the incremental prognostic value of combining SII with clinical TNM stage. Method A retrospective analysis was performed on 159 patients with locally advanced oesophageal squamous cell carcinoma who received radiotherapy. The optimal cut‐off value for pre‐radiotherapy SII was determined using receiver operating characteristic (ROC) curve analysis, and patients were stratified into low‐ and high‐SII groups accordingly. Univariate and multivariate Cox regression analyses were employed to identify independent prognostic factors. The predictive performance of SII alone, TNM stage alone, and their combination was compared. Primary endpoints were overall survival (OS) and progression‐free survival (PFS). Results The optimal pre‐radiotherapy SII cut‐off was 506.63. SII showed a tendency to increase during the course of radiotherapy. Short‐term efficacy in the low‐SII group was significantly better than that in the high‐SII group (p = 0.042). Significant differences were observed between the two groups in 1‐year, 3‐year, and 5‐year OS and PFS rates (all p < 0.05). Multivariate Cox regression analysis identified tumour location, TNM stage, gross tumour volume, and pre‐radiotherapy SII as independent prognostic factors (all p < 0.05). The area under the curve (AUC) for the combination of SII and TNM stage in predicting survival was significantly larger than that of SII or TNM stage alone. The combined SII‐TNM model demonstrated superior predictive performance compared with either parameter individually (both p < 0.05). Conclusion Pre‐radiotherapy SII serves as an independent prognostic factor in oesophageal cancer patients undergoing radiotherapy, with higher SII values associated with poorer survival outcomes. Integrating SII with TNM stage provides enhanced predictive accuracy for prognosis in this patient population.
SN - 2045-7634
ER -