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Published in: Journal of Cancer Research and Clinical Oncology 2/2017

01-02-2017 | Original Article – Clinical Oncology

The recommended treatment strategy for locally advanced gastric cancer in elderly patients aged 75 years and older: a Surveillance, Epidemiology, and End Results database analysis

Authors: Kai-tai Liu, Jue-feng Wan, Gen-hua Yu, Yan-ping Bei, Xue Chen, Miao-zhen Lu

Published in: Journal of Cancer Research and Clinical Oncology | Issue 2/2017

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Background

As patients aged 75 years and older are often underrepresented in randomized clinical trials, the external validity of clinical trials-based recommendations in older gastric patients was still controversial. The aim of this study is to explore the recommended treatment strategy for locally advanced gastric cancer in elderly patients.

Methods

We designed our study to specifically evaluate the cancer-specific survival (CSS) of four subgroups of patients according to four different treatment modalities: adjuvant radiation (RT), surgery only, RT only and no surgery/no RT by analyzing the Surveillance, Epidemiology, and End Results (SEER)-registered database. Kaplan–Meier methods were adopted and multivariable Cox regression models were built for the analysis of survival outcomes and risk factors.

Results

The 5-year CSS was 43.8 % in adjuvant RT, 28.5 % in surgery only, 14.9 % in RT only and 1.4 % in no surgery/no RT, which had significant difference in univariate log-rank test (P < 0.001) and multivariate Cox regression (P < 0.001). Moreover, we observed significant survival benefits in adjuvant RT group in all age categories, including age 75–79 years, age 80–84 years and age ≥85 years (all P < 0.001).

Conclusions

Surgery and adjuvant RT may be the recommended treatment strategy in elderly patients with locally advanced gastric cancer, especially for patients medically fit for the combined modality therapy.
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Metadata
Title
The recommended treatment strategy for locally advanced gastric cancer in elderly patients aged 75 years and older: a Surveillance, Epidemiology, and End Results database analysis
Authors
Kai-tai Liu
Jue-feng Wan
Gen-hua Yu
Yan-ping Bei
Xue Chen
Miao-zhen Lu
Publication date
01-02-2017
Publisher
Springer Berlin Heidelberg
Published in
Journal of Cancer Research and Clinical Oncology / Issue 2/2017
Print ISSN: 0171-5216
Electronic ISSN: 1432-1335
DOI
https://doi.org/10.1007/s00432-016-2289-y

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