Huang Rong, Chen Kaihua, Jiang Yuting, Li Ling, Zhu Xiaodong
Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, People's Republic of China.
Department of Oncology, Affiliated Wu-Ming Hospital of Guangxi Medical University, Nanning, People's Republic of China.
J Inflamm Res. 2023 Jul 24;16:3093-3107. doi: 10.2147/JIR.S416801. eCollection 2023.
To establish and verify a comprehensive prognostic nomogram for predicting survival outcomes and improving the prognosis for non-metastatic nasopharyngeal carcinoma (NPC).
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.
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.
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.
建立并验证一个综合预后列线图,用于预测生存结果并改善非转移性鼻咽癌(NPC)的预后。
我们的回顾性研究筛选了2012年7月至2016年12月期间接受放疗的613例非转移性NPC患者。使用Cox回归分析选择的所有独立预测因子制定了一个可靠的列线图,用于预测总生存期(OS)和无进展生存期(PFS)。对当前分期与列线图的预测性能进行了比较。在单中心使用验证队列进行内部验证,以评估预测准确性和区分度。
高密度脂蛋白胆固醇、爱泼斯坦-巴尔病毒DNA和乳酸脱氢酶被确定为预测OS和PFS的有价值的预测指标。甘油三酯是预测OS的有价值的预测指标。校准曲线表明列线图在预测结果与实际观察之间具有显著的一致性。受试者工作特征曲线显示,列线图比当前的TNM分期具有更大的曲线下面积和更令人满意的区分能力。决策曲线分析表明列线图具有较高的净临床效益。通过Kaplan-Meier曲线对低风险和高风险组进行分层时观察到显著差异。
我们提出的结合脂质代谢标志物和乳酸脱氢酶的列线图可以帮助临床医生对非转移性NPC患者进行准确的预后预测,并提供个性化的治疗建议。