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Comparative Study
. 2015 Oct 6;6(30):30377-83.
doi: 10.18632/oncotarget.4599.

Implications for determining the optimal treatment for locally advanced rectal cancer in elderly patients aged 75 years and older

Affiliations
Comparative Study

Implications for determining the optimal treatment for locally advanced rectal cancer in elderly patients aged 75 years and older

Jue-feng Wan et al. Oncotarget. .

Abstract

Patients were excluded if they were older than 75 years of age in most clinical trials. Thus, the optimal treatment strategies in elderly patients with locally advanced rectal cancer (LARC) are still controversial. We designed our study to specifically evaluate the cancer specific survival of four subgroups of patients according to four different treatment modalities: surgery only, radiation (RT) only, neoadjuvant RT and adjuvant RT by analyzing the Surveillance, Epidemiology, and End Results (SEER)-registered database. The results showed that the 5-year cancer specific survival (CSS) was 52.1% in surgery only, 27.7% in RT only, 70.4% in neoadjuvant RT and 60.4% in adjuvant RT, which had significant difference in univariate log-rank test (P < 0.001) and multivariate Cox regression (P < 0.001). Thus, the neoadjuvant RT and surgery may be the optimal treatment pattern in elderly patients, especially for patients who are medically fit for the operation.

Keywords: SEER; elderly; optimal; rectal cancer.

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Conflict of interest statement

CONFLICTS OF INTEREST

The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1. Patterns of care are illustrated for patients who were diagnosed with rectal cancer from 2004 to 2011 according to treatment modality
RT indicates radiotherapy.
Figure 2
Figure 2. Survival curves in rectal patients according to four subgroups
The 5-year cancer specific survival was 52.1% in surgery only, 27.7% in RT only, 70.4% in neoadjuvant RT and 60.4% in adjuvant RT, which had significant difference in univariate log-rank test (P < 0.001) and multivariate Cox regression (P < 0.001).

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