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基于临床特征和肿瘤标志物预测舌鳞状细胞癌术后复发的Nomogram模型构建研究

秦帅华 李新明 李文鹿

口腔颌面外科杂志2026,Vol.36Issue(3):214-220,7.
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口腔颌面外科杂志2026,Vol.36Issue(3):214-220,7.DOI:10.12439/kqhm.1005-4979.2026.03.006

基于临床特征和肿瘤标志物预测舌鳞状细胞癌术后复发的Nomogram模型构建研究

Construction of a Nomogram model to predict postoperative recurrence of tongue squamous cell carcinoma based on clinical characteristics and tumor markers

秦帅华 1李新明 1李文鹿1

作者信息

  • 1. 郑州大学第一附属医院口腔颌面外科,郑州 450000
  • 折叠

摘要

Abstract

Objective:To construct and validate a Nomogram model for predicting postoperative recurrence of tongue squamous cell carcinoma(TSCC)based on clinical characteristics and tumor markers.Methods:A total of 297 patients with TSCC who underwent surgical treatment at the First Affiliated Hospital of Zhengzhou University from January 2019 to January 2021 were enrolled in this study.Clinical data were collected,and serum levels of vascular endothelial growth factor(VEGF),prolactin(PRL),and tissue polypeptide specific antigen(TPS)were measured.All patients were followed up until January 2024,and 288 completed follow-up.According to recurrence status,patients were divided into a recurrence group(n=71)and a non-recurrence group(n=217).Multivariate Cox regression analysis was performed to identify independent risk factors for postoperative recurrence.A Nomogram model was constructed using R software based on these factors,and its predictive performance and calibration were evaluated using receiver operating characteristic(ROC)and calibration curves.Results:The median follow-up time of the 288 patients was 48(41,53)months,and the postoperative recurrence rate was 24.65%(71/288).Multivariate Cox regression analysis showed that smoking history[hazard ratio(HR)=1.685,95%confidence interval(CI):1.164‒2.441],TNM stageⅢ(HR=1.848,95%CI:1.319‒2.589),infiltrative growth pattern(HR=1.935,95%CI:1.247‒3.001),undifferentiated and poorly differentiated status(HR=1.725,95%CI:1.163‒2.557),VEGF(HR=1.870,95%CI:1.345‒2.599),PRL(HR=1.664,95%CI:1.228‒2.254),and TPS(HR=1.480,95%CI:1.127‒1.943)were independent risk factors for postoperative recurrence(all P<0.01).The area under the ROC curve(AUC)of the nomogram model was 0.938(95%CI:0.904‒0.963),with a sensitivity of 87.32%and a specificity of 89.86%.The Hosmer-Lemeshow goodness-of-fit test indicated good model fit(P>0.05),and the calibration curve demonstrated good agreement between predicted and observed outcomes.The Nomogram model showed a significantly higher AUC than the 8th edition of American Joint Committee on Cancer(AJCC)TNM staging system(AUC=0.757,95%CI:0.703‒0.805,P<0.05).Conclusion:Smoking history,TNM stage Ⅲ,infiltrative growth pattern,undifferentiated/poorly differentiated status,and VEGF,PRL,and TPS are independent risk factors for postoperative recurrence of TSCC.The Nomogram model based on these clinical characteristics and tumor markers demonstrated good predictive performance and may provide a reference for individualized assessment of postoperative recurrence risk in patients with TSCC.

关键词

舌鳞状细胞癌/复发/肿瘤标志物/列线图模型

Key words

tongue squamous cell carcinoma/recurrence/tumor markers/Nomogram model

分类

医药卫生

引用本文复制引用

秦帅华,李新明,李文鹿..基于临床特征和肿瘤标志物预测舌鳞状细胞癌术后复发的Nomogram模型构建研究[J].口腔颌面外科杂志,2026,36(3):214-220,7.

口腔颌面外科杂志

1005-4979

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