Xia Lingling, Cheng Hao, Li Bin, Cheng Xinyu, Liao Zhengkai, Xu Ximing, Chen Yongshun
Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China.
Department of Oncology, Sichuan Taikang Hospital, Chengdu, China.
Ann Surg Oncol. 2025 Sep 10. doi: 10.1245/s10434-025-18237-1.
The optimal number of examined lymph nodes (ELN) for accurate staging and prognosis for esophageal cancer patients receiving neoadjuvant therapy remains controversial. This study aimed to evaluate the impact of ELN count on pathologic staging and survival outcomes and to develop a predictive model for lymph node positivity in this patient population.
Data were extracted from the Surveillance, Epidemiology, and End Results (SEER) database and a multicenter cohort. The inverse probability-weighting and propensity score-matching method was used to balance baseline characteristics. Patients were stratified into four ELN count groups based on quartiles: Q1 (1-9), Q2 (10-14), Q3 (15-20), and Q4 (≥ 21). A nomogram predicting pathologic lymph node positivity was constructed using least absolute shrinkage, selection operator regression, and multivariate logistic regression, incorporating variables such as age, sex, T stage, cN stage, and ELN count.
The training cohort included 1736 patients from the SEER database. After matching, the Q4 group demonstrated significantly superior 5 year overall survival compared with the other three groups, whereas the Q2 and Q3 groups exhibited comparable outcomes. The Q1 group had the worst prognosis. The nomogram demonstrated strong discriminatory ability, with area under the curve values of 0.654 (training cohort) and 0.816 (validation cohort). Higher ELN counts, particularly in the Q4 group, were associated with increased detection of lymph node metastases.
Examination of 21 or more lymph nodes significantly enhances the accuracy of pathologic lymph node staging and improves long-term survival for esophageal cancer patients undergoing neoadjuvant therapy.
对于接受新辅助治疗的食管癌患者,用于准确分期和判断预后的最佳检查淋巴结数目(ELN)仍存在争议。本研究旨在评估ELN计数对病理分期和生存结果的影响,并建立该患者群体淋巴结阳性的预测模型。
数据来自监测、流行病学和最终结果(SEER)数据库以及一个多中心队列。采用逆概率加权和倾向评分匹配方法平衡基线特征。根据四分位数将患者分为四个ELN计数组:Q1(1 - 9个)、Q2(10 - 14个)、Q3(15 - 20个)和Q4(≥21个)。使用最小绝对收缩和选择算子回归以及多变量逻辑回归构建预测病理淋巴结阳性的列线图,纳入年龄、性别、T分期、cN分期和ELN计数等变量。
训练队列包括来自SEER数据库的1736例患者。匹配后,Q4组的5年总生存率明显优于其他三组,而Q2组和Q3组的结果相当。Q1组预后最差。列线图显示出很强的辨别能力,训练队列的曲线下面积值为0.654,验证队列的为0.816。较高的ELN计数,尤其是在Q4组,与淋巴结转移的检出增加相关。
检查21个或更多淋巴结可显著提高病理淋巴结分期的准确性,并改善接受新辅助治疗的食管癌患者的长期生存。