Comparison of postoperative survival between early‐onset and late‐onset adenocarcinoma of esophagogastric junction: a population‐based study

Author:

Chen Liubo1,Jin Tian2,Fang Yimin2,Wu Gaoqi3,Yuan Ying14ORCID

Affiliation:

1. Department of Medical Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou Zhejiang China

2. Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou Zhejiang China

3. Institute of Immunology Zhejiang University School of Medicine Hangzhou Zhejiang China

4. Cancer Center Zhejiang University Hangzhou Zhejiang China

Abstract

AbstractBackground and AimThe prognosis of early‐onset adenocarcinoma of esophagogastric junction (AEG) remains unclear. This research aimed at comparing the prognosis between early‐onset and late‐onset AEGs.MethodsWe extracted eligible patients with surgically resected, pathologically confirmed, nonmetastatic AEG from the Surveillance, Epidemiology, and End Results database from 2004 to 2015. The cutoff age of early‐onset AEG was set at ≤50 years old. Univariate and multivariate Cox analysis as well as competing risk model were adopted for comparing overall survival (OS) and cancer‐specific survival (CSS) between early‐onset and late‐onset AEGs. In addition, multiple imputation and propensity score matching (PSM) were also carried out for sensitivity analysis.ResultsIn total, 4610 eligible AEG patients were collected in this study, including 610 early‐onset AEGs and 4000 late‐onset AEGs. Kaplan–Meier curves revealed significantly better survival in early‐onset AEGs than late‐onset AEGs. After interpolating missing data by multiple imputation, multivariate Cox regression analysis similarly showed better OS and CSS in early‐onset AEGs. By using PSM analysis at a ratio of 1:1, we matched 610 early‐onset AEG patients with 610 late‐onset AEG patients. After PSM, univariate Cox regression model still revealed favorable prognosis in early‐onset AEGs. Similar results were confirmed by performing PSM analysis at a ratio of 1:2 and 1:3. In addition, competing risk model demonstrated significantly lower cancer‐specific death in early‐onset AEGs compared to late‐onset AEGs before and after matching.ConclusionBy applying several effective sensitivity analyses, we reported significantly favorable OS and CSS in early‐onset AEGs compared to late‐onset AEGs.

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Key Research and Development Program of Zhejiang Province

Publisher

Wiley

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