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建立颈清扫术后区域性复发性鼻咽癌的预后评分模型。

Establishment of a prognostic scoring model for regional recurrent nasopharyngeal carcinoma after neck dissection.

机构信息

State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.

Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.

出版信息

Cancer Biol Med. 2020 Feb 15;17(1):227-236. doi: 10.20892/j.issn.2095-3941.2019.0263.

Abstract

The main aim of this study was to establish a scoring model to predict risk of progression and survival in patients with regionally recurrent nasopharyngeal carcinoma (NPC). Three hundred and forty-eight patients subjected to neck dissection from 2003 to 2017 were included for study. Clinicopathologic information for each patient was analyzed. Independent prognostic factors were selected using the Cox proportional hazards model and incorporated into the scoring model. Concordance index (C-index) and calibration curves were used to verify discrimination and calibration, respectively and the results validated using bootstrap resampling. Microscopic positive lymph node > 2 [hazard ratio (HR), 2.19; 95% confidence interval (CI), 1.30-3.68; = 0.003], extranodal extension (HR, 2.75; 95% CI, 1.69-4.47; < 0.001), and lower neck involvement (HR, 1.78; 95% CI, 1.04-3.04; = 0.034) were identified from multivariate analysis as independent factors for overall survival (OS). A qualitative 4-point scale was generated to stratify patients into 4 risk groups for predicting OS and progression-free survival (PFS). The novel scoring model demonstrated enhanced discrimination (C-index = 0.69; 95% CI, 0.62-0.76) relative to the original recurrent tumor-node-metastasis (rTNM) staging system (C-index = 0.56; 95% CI, 0.50-0.62), and was internally validated with a bootstrap-adjusted C-index of 0.70. The calibration curve showed good agreement between predicted probabilities and actual observations. The scoring system established in this study based on a large regionally recurrent NPC cohort fills a gap regarding assessment of risk and prediction of survival outcomes after neck dissection in this population and could be further applied to identify high-risk patients who may benefit from more aggressive intervention.

摘要

本研究的主要目的是建立一个评分模型,以预测局部复发性鼻咽癌(NPC)患者的进展和生存风险。纳入了 2003 年至 2017 年接受颈清扫术的 348 名患者进行研究。分析了每位患者的临床病理信息。使用 Cox 比例风险模型选择独立的预后因素,并将其纳入评分模型。一致性指数(C 指数)和校准曲线分别用于验证区分度和校准度,结果通过 bootstrap 重采样进行验证。微观阳性淋巴结>2(危险比[HR],2.19;95%置信区间[CI],1.30-3.68;=0.003)、结外侵犯(HR,2.75;95%CI,1.69-4.47;<0.001)和下颈受累(HR,1.78;95%CI,1.04-3.04;=0.034)在多变量分析中被确定为总生存(OS)的独立因素。生成了一个定性的 4 分制量表,将患者分为 4 个风险组,以预测 OS 和无进展生存(PFS)。与原始复发肿瘤-淋巴结-转移(rTNM)分期系统(C 指数=0.56;95%CI,0.50-0.62)相比,新的评分模型显示出更好的区分度(C 指数=0.69;95%CI,0.62-0.76),并通过 bootstrap 调整后的 C 指数为 0.70 进行了内部验证。校准曲线显示预测概率与实际观察结果之间具有良好的一致性。本研究基于大型局部复发性 NPC 队列建立的评分系统填补了该人群颈清扫术后风险评估和生存结果预测方面的空白,可进一步用于识别可能受益于更积极干预的高危患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a7dc/7142849/3bb59976e498/cbm-17-227-g001.jpg

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