列线图
鼻咽癌
医学
肿瘤科
内科学
乳酸脱氢酶
接收机工作特性
比例危险模型
曲线下面积
放射治疗
生物
生物化学
酶
作者
Rong Huang,Kaihua Chen,Yuting Jiang,Ling Li,Xiao‐Dong Zhu
摘要
Purpose: To establish and verify a comprehensive prognostic nomogram for predicting survival outcomes and improving the prognosis for non-metastatic nasopharyngeal carcinoma (NPC). Patients and Methods: Our retrospective study screened 613 cases of non-metastatic NPC who received radiotherapy from July 2012 to December 2016. A reliable nomogram was formulated for predicting overall survival (OS) and progression-free survival (PFS) using all independent predictors selected by Cox regression analysis. A comparison is conducted between the current staging and the predictive performance of the nomogram. Internal validation was performed in a single center using the validation cohort to assess predictive accuracy and discrimination. Results: High-density lipoprotein cholesterol, Epstein–Barr virus DNA and lactate dehydrogenase were determined to be valuable predictive indicators for predicting OS and PFS. Triglycerides were a valuable predictive indicator for predicting OS. Calibration curves demonstrated that the nomogram had remarkable correspondence between the prediction outcomes and the actual observations. Receiver operating characteristic curves showed that the nomogram had greater area under the curve and more satisfactory discrimination capability than the current TNM staging. Decision curve analysis revealed that the nomogram had high net clinical benefits. Significant differences were observed when low- and high-risk groups were stratified via Kaplan–Meier curves. Conclusion: Our proposed nomogram combining lipid metabolic markers and lactate dehydrogenase could assist clinicians in the accurate prognostic prediction of non-metastatic NPC patients and provide personalized treatment recommendations. Keywords: nomogram, lipid metabolic markers, nasopharyngeal carcinoma, lactate dehydrogenase, triglycerides
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