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Predictors of Lymph Node Metastasis in Siewert Type II T1 Adenocarcinoma of the Esophagogastric Junction: A Population-Based Study

Overview
Journal Cancer Control
Specialty Oncology
Date 2021 Jun 22
PMID 34155922
Citations 8
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Abstract

Background: Endoscopic resection has been introduced as an alternative treatment for superficial adenocarcinoma of the esophagogastric junction (AEG), but is limited by positive nodal status. We aimed to investigate the predictors of lymph node metastasis (LNM) in patients with Siewert type II T1 AEG.

Methods: The Surveillance, Epidemiology, and End Results (SEER) database was used to identify eligible patients with Siewert type II T1 AEG. The prevalence of LNM was assessed. Logistic regression analysis with multivariable adjustment was used to determine predictors of LNM. We also performed Cox regression analysis to examine the prognostic value of LNM, which was further confirmed by competing risk analysis and cumulative incidence function (CIF).

Results: In total, 2651 patients with T1 AEG were included, with a median age of 69 years and a median follow-up of 28 months. The overall prevalence of LNM was 17.2% in T1 AEG. When stratified by tumor invasion depth, the prevalence of LNM was 8.5% for intramucosal tumors and 22.6% for submucosal tumors. Adjusted logistic regression analysis showed that age, sex, tumor grade, tumor size and tumor infiltration depth were independent predictors of LNM in T1 AEG. Multivariate Cox regression analysis revealed that positive nodal status was significantly associated with worse overall survival and cancer-specific survival (CSS). Subgroup analysis consistently demonstrated that patients with LNM had significantly poorer CSS than those without LNM in most subgroups. Finally, the CIF was calculated, showing that patients with LNM had a significantly higher cancer-specific death rate than those without LNM.

Conclusions: This population-based study identified age, sex, tumor grade, tumor infiltration depth and tumor size as independent predictors of LNM in T1 AEG. Considering the high prevalence of LNM in T1 AEG, endoscopic resection for curative aims may only be introduced in patients without high risks of LNM.

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References
1.
Xie S, Lagergren J . The Male Predominance in Esophageal Adenocarcinoma. Clin Gastroenterol Hepatol. 2015; 14(3):338-347.e1. DOI: 10.1016/j.cgh.2015.10.005. View

2.
Ahmadi O, Stringer M, Black M, McCall J . Influence of age and site of disease on lymph node yield in colorectal cancer. N Z Med J. 2014; 127(1395):31-40. View

3.
Dignam J, Zhang Q, Kocherginsky M . The use and interpretation of competing risks regression models. Clin Cancer Res. 2012; 18(8):2301-8. PMC: 3328633. DOI: 10.1158/1078-0432.CCR-11-2097. View

4.
Chen K, Deng X, Yang Z, Yu D, Zhang X, Zhang J . Survival nomogram for patients with metastatic siewert type II adenocarcinoma of the esophagogastric junction: a population-based study. Expert Rev Gastroenterol Hepatol. 2020; 14(8):757-764. DOI: 10.1080/17474124.2020.1784726. View

5.
Kim H, Chung H, Shin S, Kim H, Park J, Lee S . Comparison of long-term clinical outcomes between endoscopic and surgical resection for early-stage adenocarcinoma of the esophagogastric junction. Surg Endosc. 2018; 32(8):3540-3547. DOI: 10.1007/s00464-018-6076-5. View