肿瘤防治研究2025，Vol.52Issue(2)：142-150,9.DOI:10.3971/j.issn.1000-8578.2025.24.0718
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
Construction of A Nomogram Prognostic Model Based on Pretreatment Inflammatory Indicator for Esophageal Squamous Cell Carcinoma Patients Treated with Radical Radiotherapy
摘要
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.关键词
食管鳞癌/放疗/炎症指标/预后/列线图Key words
Esophageal squamous cell carcinoma/Radiotherapy/Inflammatory indicator/Prognosis/Nomogram分类
临床医学引用本文复制引用
付神波,金龙,梁静,郭俊俊,车宇,李晨阳,陈勇..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[J].肿瘤防治研究,2025,52(2):142-150,9.基金项目
Key Research and Development Program of Shaanxi Province(No.2024SF-YBXM-121) （No.2024SF-YBXM-121）
Beijing Huaxia Cancer Prevention and Treatment Institute Digestive Tract Early Cancer Physician Co-growth Program(No.GTCZ-2020-SX-61-0001) 陕西省重点研发计划(2024SF-YBXM-121) （No.GTCZ-2020-SX-61-0001）
北京华夏肿瘤防治研究院消化道早癌医师共同成长计划(GTCZ-2020-SX-61-0001) （GTCZ-2020-SX-61-0001）
