Risk factors and a predictive nomogram for lymph node metastasis in superficial esophageal squamous cell carcinoma

作     者：Jin Wang Xian Zhang Tao Gan Ni-Ni Rao Kai Deng Jin-Lin Yang 

作者机构：Department of Gastroenterology and HepatologySichuan University-University of Oxford Huaxi Joint Centre for Gastrointestinal CancerFrontiers Science Center for Disease-Related Molecular NetworkWest China HospitalSichuan UniversityChengdu 610041Sichuan ProvinceChina Department of PathologyWest China HospitalSichuan UniversityChengdu 610041Sichuan ProvinceChina School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengdu 610064Sichuan ProvinceChina 

出 版 物：《World Journal of Gastroenterology》 (世界胃肠病学杂志（英文版）)

年 卷 期：2023年第29卷第47期

页      面：6138-6147页

核心收录：

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：the National Natural Science Foundation of China,No.82173253 the Sichuan Province Science and Technology Support Program,No.2022YFH0003 and No.2023NSFSC1900 the Postdoctoral Research Foundation of West China Hospital,No.2021HXBH020 and the Medico-Engineering Cooperation Funds from the University of Electronic Science and Technology of China and West China Hospital of Sichuan University,No.HXDZ22005 

主　　题：Superficial esophageal squamous cell carcinoma Lymph node metastasis Risk factors Nomogram Predictive model 

摘      要：BACKGROUND Superficial esophageal squamous cell carcinoma(ESCC)is defined as cancer infiltrating the mucosa and submucosa,regardless of regional lymph node metastasis(LNM).Endoscopic resection of superficial ESCC is suitable for lesions that have no or low risk of *** with a high risk of LNM always need further treatment after endoscopic ***,accurately assessing the risk of LNM is critical for additional treatment *** To analyze risk factors for LNM and develop a nomogram to predict LNM risk in superficial ESCC *** Clinical and pathological data of superficial ESCC patients undergoing esophagectomy from January 1,2009 to January 31,2016 were *** regression analysis was used to predict LNM risk factors,and a nomogram was developed based on risk factors derived from multivariate logistic regression *** receiver operating characteristic(ROC)curve was used to obtain the accuracy of the nomogram *** total of 4660 patients with esophageal cancer underwent *** these,474 superficial ESCC patientswere enrolled in the final analysis,with 322 patients in the training set and 142 patients in the validation *** of LNM was 3.29%(5/152)for intramucosal cancer and increased to 26.40%(85/322)for *** logistic analysis showed that tumor size,invasive depth,tumor differentiation,infiltrativegrowth pattern,tumor budding,and lymphovascular invasion were significantly correlated with *** using these six variables showed good discrimination with an area under the ROC curve of 0.789(95%CI:0.737-0.841)in the training set and 0.827(95%CI:0.755-0.899)in the validation *** developed a useful nomogram model to predict LNM risk for superficial ESCC patients which will facilitateadditional decision-making in treating patients who undergo endoscopic resection.