Construction of A Nomogram Prognostic Model Based on Pretreatment Inflammatory Indicator for Esophageal Squamous Cell Carcinoma Patients Treated with Radical Radiotherapy
10.3971/j.issn.1000-8578.2025.24.0718
- VernacularTitle:基于治疗前炎性反应指标构建食管鳞癌患者根治性放疗预后列线图模型
- Author:
Shenbo FU
1
;
Long JIN
2
;
Jing LIANG
1
;
Junjun GUO
1
;
Yu CHE
1
;
Chenyang LI
1
;
Yong CHEN
3
Author Information
1. Department of Radiation Oncology, Shaanxi Provincial Cancer Hospital, Xi'an 710061, China.
2. Department of Radiation Oncology, Shaanxi Provincial People’s Hospital, Xi'an 710068, China.
3. Endoscopic Center, Shaanxi Provincial Cancer Hospital, Xi'an 710061, China.
- Publication Type:CLINICALRESEARCH
- Keywords:
Esophageal squamous cell carcinoma;
Radiotherapy;
Inflammatory indicator;
Prognosis;
Nomogram
- From:
Cancer Research on Prevention and Treatment
2025;52(2):142-150
- CountryChina
- Language:Chinese
-
Abstract:
Objective To describe the significance of the pretreatment inflammatory indicators in predicting the prognosis of patients with esophageal squamous cell carcinoma (ESCC) after undergoing radical radiotherapy. Methods The data of 246 ESCC patients who underwent radical radiotherapy were retrospectively collected. Receiver operating characteristic (ROC) curves were drawn to determine the optimal cutoff values for platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR), and systemic immune-inflammation index (SII). The Kaplan-Meier method was used for survival analysis. We conducted univariate and multivariate analyses by using the Cox proportional risk regression model. Software R (version 4.2.0) was used to create the nomogram of prognostic factors. Results The results of the ROC curve analysis showed that the optimal cutoff values of PLR, NLR, and SII were 146.06, 2.67, and 493.97, respectively. The overall response rates were 77.6% and 64.5% in the low and high NLR groups, respectively (P<0.05). The results of the Kaplan-Meier survival analysis revealed that the prognosis of patients in the low PLR, NLR, and SII group was better than that of patients in the high PLR, NLR, and SII group (all P<0.05). The results of the multivariate Cox regression analysis showed that gender, treatment modalities, T stage, and NLR were independent factors affecting the overall survival (OS). In addition, T stage and NLR were independent factors affecting the progression-free survival (PFS) (all P<0.05). The nomogram models of OS and PFS prediction were established based on multivariate analysis. The C-index values were 0.703 and 0.668. The calibration curves showed excellent consistency between the predicted and observed OS and PFS. Conclusion The pretreatment values of PLR, NLR, and SII are correlated with the prognosis of patients with ESCC who underwent radical radiotherapy. Moreover, NLR is an independent factor affecting the OS and PFS of ESCC patients. The NLR-based nomogram model has a good predictive ability.
