Department of Thoracic Surgery, The School of Clinical Medicine, Fujian Medical University, The First Hospital of Putian, Putian, China.
Clinical Oncology School of Fujian Medical University, Fuzhou, China.
Cancer Control. 2023 Jan-Dec;30:10732748231185025. doi: 10.1177/10732748231185025.
At present, there is no objective prognostic index available for patients with esophageal squamous cell carcinoma (ESCC) who underwent intensity-modulated radiotherapy (IMRT). This study is to develop a nomogram based on hematologic inflammatory indices for ESCC patients treated with IMRT.
581 patients with ESCC receiving definitive IMRT were enrolled in our retrospective study. Of which, 434 patients with treatment-naïve ESCC in Fujian Cancer Hospital were defined as the training cohort. Additional 147 newly diagnosed ESCC patients were used as the validation cohort. Independent predictors of overall survival (OS) were employed to establish a nomogram model. The predictive ability was evaluated by time-dependent receiver operating characteristic curves, the concordance index (C-index), net reclassification index (NRI), and integrated discrimination improvement (IDI). Decision curve analysis (DCA) was performed to assess the clinical benefits of the nomogram model. The entire series was divided into 3 risk subgroups stratified by the total nomogram scores.
Clinical TNM staging, primary gross tumor volume, chemotherapy, neutrophil-to-lymphocyte ratio and platelet lymphocyte ratio were independent predictors of OS. Nomogram was developed incorporating these factors. Compared with the 8th American Joint Committee on Cancer (AJCC) staging, the C-index for 5-year OS (.627 and .629) and the AUC value of 5-year OS (.706 and .719) in the training and validation cohorts (respectively) were superior. Furthermore, the nomogram model presented higher NRI and IDI. DCA also demonstrated that the nomogram model provided greater clinical benefit. Finally, patients with <84.8, 84.8-151.4, and >151.4 points were categorized into low-risk, intermediate-risk, and high-risk groups. Their 5-year OS rates were 44.0%, 23.6%, and 8.9%, respectively. The C-index was .625, which was higher than the 8 AJCC staging.
We have developed a nomogram model that enables risk-stratification of patients with ESCC receiving definitive IMRT. Our findings may serve as a reference for personalized treatment.
目前,对于接受调强放疗(IMRT)的食管鳞状细胞癌(ESCC)患者,尚无客观的预后指标。本研究旨在建立一个基于血液炎症指标的 ESCC 患者接受 IMRT 治疗的列线图。
我们回顾性纳入了 581 例接受根治性 IMRT 的 ESCC 患者。其中,434 例来自福建医科大学附属肿瘤医院的初治 ESCC 患者被定义为训练队列,另外 147 例新诊断的 ESCC 患者被纳入验证队列。采用独立的总生存(OS)预测因素来建立列线图模型。通过时间依赖性接受者操作特征曲线、一致性指数(C-index)、净重新分类指数(NRI)和综合判别改善(IDI)来评估预测能力。通过决策曲线分析(DCA)评估列线图模型的临床获益。根据总列线图评分,将整个系列分为 3 个风险亚组。
临床 TNM 分期、原发肿瘤体积、化疗、中性粒细胞与淋巴细胞比值和血小板与淋巴细胞比值是 OS 的独立预测因素。将这些因素纳入列线图模型。与第 8 版美国癌症联合委员会(AJCC)分期相比,训练和验证队列的 5 年 OS 的 C-index(分别为 0.627 和 0.629)和 5 年 OS 的 AUC 值(分别为 0.706 和 0.719)更高。此外,该列线图模型具有更高的 NRI 和 IDI。DCA 也表明该列线图模型提供了更大的临床获益。最后,将<84.8、84.8-151.4 和>151.4 分的患者分为低危、中危和高危组,他们的 5 年 OS 率分别为 44.0%、23.6%和 8.9%,C-index 为 0.625,高于第 8 AJCC 分期。
我们建立了一个列线图模型,可以对接受根治性 IMRT 的 ESCC 患者进行风险分层。我们的发现可为个体化治疗提供参考。