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已发表论文
结肠癌根治术后患者全身免疫炎症指数及铁蛋白水平联合病理指标的预后价值
Authors Wu Y, Wang W, Ye B, Zhu L
Received 22 June 2025
Accepted for publication 30 September 2025
Published 21 October 2025 Volume 2025:18 Pages 14503—14513
DOI https://doi.org/10.2147/JIR.S548834
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Junhao Wang
Yanmin Wu,1,* Wenyuan Wang,1,* Bing Ye,1,* Lixia Zhu2
1Digestive Disease Treatment Center, Affiliated Hospital of Jiangnan University, Wuxi, People’s Republic of China; 2Department of Gastrointestinal Surgery, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Lixia Zhu, Department of Gastrointestinal Surgery, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, People’s Republic of China, Email ZLX064004149@163.com
Background: The systemic immune-inflammation index (SII) has become a new inflammatory biomarker in recent years. However, ferritin, as a readily measurable marker, is elevated in cancer patients. Therefore, in this study, we determined the predictive value of SII combined with ferritin (FS) and the pathological features associated with the prognosis of patients with colon cancer after radical resection.
Methods: Univariate and multivariate Cox regression analyses were performed to analyze the independent factors affecting the prognosis of patients with colon cancer. Kaplan-Meier survival curves and receiver operating characteristic (ROC) curves were plotted to evaluate the predictive efficacy of the SII, F, and FS for the overall survival of patients with colon cancer after radical resection. A nomogram prediction model was constructed, and the consistency index (C-index) and calibration curve were used to evaluate the performance of the nomogram.
Results: The five-year overall survival rates of patients in the training set and validation set were 56.8% and 57.3%, respectively. The results of multivariate Cox regression analysis revealed that the FS grade (grade 2 vs grade 1: hazard ratio (HR) = 6.375, 95% CI = 2.725– 14.911; grade 3 vs grade 1: HR = 21.623, 95% CI = 9.897– 47.240); vascular cancer thrombus (HR = 1.706, 95% CI = 1.082– 2.689); nerve infiltration (HR = 1.634, 95% CI = 1.070– 2.495), etc. were independent influencing factors for overall survival after surgery (all P < 0.05). Kaplan-Meier survival curve analysis showed that the SII, ferritin level, and FS were independent influencing factors for overall survival after radical resection in patients with colon cancer (all P < 0.05).
Conclusion: Preoperative FS grading is an effective and practical method to predict the overall survival of patients with colon cancer after radical resection. Moreover, its combination with pathological indicators can achieve a better prediction effect.
Keywords: systemic immune-inflammation index, SII, ferritin, colon cancer, predictive model
1Digestive Disease Treatment Center, Affiliated Hospital of Jiangnan University, Wuxi, People’s Republic of China; 2Department of Gastrointestinal Surgery, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Lixia Zhu, Department of Gastrointestinal Surgery, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi Medical Center, Nanjing Medical University, Wuxi People’s Hospital, Wuxi, People’s Republic of China, Email ZLX064004149@163.com
Background: The systemic immune-inflammation index (SII) has become a new inflammatory biomarker in recent years. However, ferritin, as a readily measurable marker, is elevated in cancer patients. Therefore, in this study, we determined the predictive value of SII combined with ferritin (FS) and the pathological features associated with the prognosis of patients with colon cancer after radical resection.
Methods: Univariate and multivariate Cox regression analyses were performed to analyze the independent factors affecting the prognosis of patients with colon cancer. Kaplan-Meier survival curves and receiver operating characteristic (ROC) curves were plotted to evaluate the predictive efficacy of the SII, F, and FS for the overall survival of patients with colon cancer after radical resection. A nomogram prediction model was constructed, and the consistency index (C-index) and calibration curve were used to evaluate the performance of the nomogram.
Results: The five-year overall survival rates of patients in the training set and validation set were 56.8% and 57.3%, respectively. The results of multivariate Cox regression analysis revealed that the FS grade (grade 2 vs grade 1: hazard ratio (HR) = 6.375, 95% CI = 2.725– 14.911; grade 3 vs grade 1: HR = 21.623, 95% CI = 9.897– 47.240); vascular cancer thrombus (HR = 1.706, 95% CI = 1.082– 2.689); nerve infiltration (HR = 1.634, 95% CI = 1.070– 2.495), etc. were independent influencing factors for overall survival after surgery (all P < 0.05). Kaplan-Meier survival curve analysis showed that the SII, ferritin level, and FS were independent influencing factors for overall survival after radical resection in patients with colon cancer (all P < 0.05).
Conclusion: Preoperative FS grading is an effective and practical method to predict the overall survival of patients with colon cancer after radical resection. Moreover, its combination with pathological indicators can achieve a better prediction effect.
Keywords: systemic immune-inflammation index, SII, ferritin, colon cancer, predictive model