基于预后列线图的生存风险分层,以确定可能从术后辅助治疗中获益的食管鳞癌患者。

Survival risk stratification based on prognosis nomogram to identify patients with esophageal squamous cell carcinoma who may benefit from postoperative adjuvant therapy.

机构信息

Department of Radiation Oncology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.

Department of Radiation Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.

出版信息

BMC Cancer. 2024 Oct 29;24(1):1330. doi: 10.1186/s12885-024-13085-w.

Abstract

OBJECTIVE

The purpose of the study is to develop a prognosis nomogram for esophageal squamous cell carcinoma (ESCC) patients with radical resection and to identify patients who may benefit from postoperative adjuvant radiotherapy/chemoradiotherapy through survival risk stratification.

METHODS

We retrospectively enrolled patients who underwent esophagectomy in the First Affiliated Hospital of Nanjing Medical University from July 2015 to June 2017. Patients with stage I-III esophageal squamous cell carcinoma who received radical R0 resection with or without postoperative adjuvant radiotherapy/chemoradiotherapy were included. Further, patients were randomly allocated into two groups (training and validation cohorts) with a distribution ratio of 7:3. The prognosis nomogram was constructed based on independent factors determined by univariate and multivariate Cox analyses. The area under the receiver operating characteristic curve (AUC) and calibration curve were adopted to evaluate the discriminative ability and reliability of the nomogram. The accuracy and clinical practicability were respectively assessed by C-index values and decision curve analysis (DCA), and further contrasted the nomogram model and the eighth edition of the American Joint Committee on Cancer (AJCC) TNM staging system. In addition, survival risk stratification was further performed according to the nomogram, and the effect of postoperative adjuvant therapy on each risk group was appraised by the Kaplan-Meier survival analysis.

RESULTS

A total of 399 patients with esophageal squamous cell carcinoma were recruited in this study, including the training cohort (n = 280) and the validation cohort (n = 119). The nomogram-related AUC values ​​for 1, 3, and 5-year OS were 0.900, 0.795, and 0.802, respectively, and 0.800, 0.865, 0.829 in the validation cohort, respectively. The slope of the calibration curve for both cohorts was close to 1, indicating good consistency. The C-index value of the nomogram was 0.769, which was higher than that of the AJCC 8th TNM staging system by 0.061 (p < 0.001). Based on the prognosis nomogram, patients were stratified into three risk groups (low, medium, and high), and there were obvious differences in prognosis among the groups (p < 0.001). Furthermore, postoperative adjuvant therapy has been shown to enhance the 5-year survival rate by over 15% among patients classified as medium- and high-risk.

CONCLUSION

The constructed nomogram as developed resulted in accurate and effective prediction performance in survival outcomes for patients with stage I-III esophageal squamous cell carcinoma who underwent radical R0 resection, which is superior to the AJCC 8th TNM staging system. The survival risk stratification had potential clinical application to guide further personalized adjuvant therapy.

摘要

目的

本研究旨在为接受根治性切除术的食管鳞癌(ESCC)患者制定预后列线图,并通过生存风险分层确定可能从术后辅助放化疗中获益的患者。

方法

我们回顾性纳入 2015 年 7 月至 2017 年 6 月在南京医科大学第一附属医院接受食管切除术的患者。纳入接受根治性 R0 切除术且术后接受或未接受辅助放化疗的 I-III 期食管鳞癌患者。进一步将患者随机分为两组(训练队列和验证队列),分布比例为 7:3。基于单因素和多因素 Cox 分析确定的独立因素构建预后列线图。采用接受者操作特征曲线(ROC)下面积(AUC)和校准曲线评估列线图的判别能力和可靠性。通过 C 指数值和决策曲线分析(DCA)评估准确性和临床实用性,并进一步比较列线图模型和第八版美国癌症联合委员会(AJCC)TNM 分期系统。此外,根据列线图进行生存风险分层,并通过 Kaplan-Meier 生存分析评估术后辅助治疗对每个风险组的影响。

结果

本研究共纳入 399 例食管鳞癌患者,包括训练队列(n=280)和验证队列(n=119)。1、3、5 年 OS 的列线图相关 AUC 值分别为 0.900、0.795 和 0.802,验证队列分别为 0.800、0.865 和 0.829。两个队列的校准曲线斜率接近 1,提示一致性良好。列线图的 C 指数值为 0.769,高于第八版 AJCC TNM 分期系统的 0.061(p<0.001)。基于预后列线图,患者被分为低、中、高三个风险组,组间预后差异明显(p<0.001)。此外,中高危患者接受术后辅助治疗可使 5 年生存率提高 15%以上。

结论

本研究构建的列线图可准确有效地预测接受根治性 R0 切除术的 I-III 期食管鳞癌患者的生存结局,优于第八版 AJCC TNM 分期系统。生存风险分层具有潜在的临床应用价值,可指导进一步的个体化辅助治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20e1/11520824/af14f8ebf281/12885_2024_13085_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索