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浅表性食管鳞癌淋巴结转移的危险因素和预测列线图。

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

机构信息

Department of Gastroenterology and Hepatology, Sichuan University-University of Oxford Huaxi Joint Centre for Gastrointestinal Cancer, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China.

Department of Pathology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China.

出版信息

World J Gastroenterol. 2023 Dec 21;29(47):6138-6147. doi: 10.3748/wjg.v29.i47.6138.

Abstract

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 LNM. Patients with a high risk of LNM always need further treatment after endoscopic resection. Therefore, accurately assessing the risk of LNM is critical for additional treatment options.

AIM

To analyze risk factors for LNM and develop a nomogram to predict LNM risk in superficial ESCC patients.

METHODS

Clinical and pathological data of superficial ESCC patients undergoing esophagectomy from January 1, 2009 to January 31, 2016 were collected. Logistic regression analysis was used to predict LNM risk factors, and a nomogram was developed based on risk factors derived from multivariate logistic regression analysis. The receiver operating characteristic (ROC) curve was used to obtain the accuracy of the nomogram model.

RESULTS

A total of 4660 patients with esophageal cancer underwent esophagectomy. Of these, 474 superficial ESCC patients were enrolled in the final analysis, with 322 patients in the training set and 142 patients in the validation set. The prevalence of LNM was 3.29% (5/152) for intramucosal cancer and increased to 26.40% (85/322) for submucosal cancer. Multivariate logistic analysis showed that tumor size, invasive depth, tumor differentiation, infiltrative growth pattern, tumor budding, and lymphovascular invasion were significantly correlated with LNM. A nomogram 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 set.

CONCLUSION

We developed a useful nomogram model to predict LNM risk for superficial ESCC patients which will facilitate additional decision-making in treating patients who undergo endoscopic resection.

摘要

背景

食管浅表鳞状细胞癌(ESCC)定义为浸润黏膜和黏膜下层的癌症,无论是否存在区域淋巴结转移(LNM)。ESCC 的内镜下切除适用于无或低 LNM 风险的病变。有高 LNM 风险的患者在内镜切除后通常需要进一步治疗。因此,准确评估 LNM 风险对于选择进一步的治疗方案至关重要。

目的

分析 LNM 的危险因素,并建立预测 ESCC 患者 LNM 风险的列线图。

方法

收集 2009 年 1 月 1 日至 2016 年 1 月 31 日期间接受食管切除术的 ESCC 患者的临床和病理资料。采用 logistic 回归分析预测 LNM 的危险因素,并基于多变量 logistic 回归分析得出的危险因素建立列线图。通过受试者工作特征(ROC)曲线评估列线图模型的准确性。

结果

共 4660 例食管癌患者接受了食管切除术,其中 474 例 ESCC 患者被纳入最终分析,其中 322 例患者进入训练集,142 例患者进入验证集。黏膜内癌的 LNM 发生率为 3.29%(5/152),而黏膜下癌的 LNM 发生率增加至 26.40%(85/322)。多变量 logistic 分析显示,肿瘤大小、浸润深度、肿瘤分化、浸润性生长模式、肿瘤芽生和淋巴管血管侵犯与 LNM 显著相关。使用这六个变量的列线图在训练集和验证集的 ROC 曲线下面积分别为 0.789(95%CI:0.737-0.841)和 0.827(95%CI:0.755-0.899),具有良好的鉴别能力。

结论

我们建立了一个有用的列线图模型,可以预测 ESCC 患者的 LNM 风险,这将有助于内镜切除患者的进一步决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/add4/10768412/8a58b096423a/WJG-29-6138-g001.jpg

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