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KMID : 1137020110220010003
Journal of Gynecologic Oncology
2011 Volume.22 No. 1 p.3 ~ p.8
Multivariate survival analysis of the patients with recurrent endometrial cancer
Odagiri Tetsuji

Watari Hidemichi
Hosaka Masayoshi
Mitamura Takashi
Konno Yousuke
Kato Tatsuya
Kobayashi Noriko
Sudo Satoko
Takeda Mahito
Kaneuchi Masanori
Sakuragi Noriaki
Abstract
Objective: Few studies on the prognosticators of the patients with recurrent endometrial cancer after relapse have been reported in the literature. The aim of this study was to determine the prognosticators after relapse in patients with recurrent endometrial cancer who underwent primary complete cytoreductive surgery and adjuvant chemotherapy.

Methods: Thirty-five patients with recurrent endometrial cancer were included in this retrospective analysis. The prognostic significance of several clinicopathological factors including histologic type, risk for recurrence, time to relapse after primary surgery, number of relapse sites, site of relapse, treatment modality, and complete resection of recurrent tumors were evaluated. Survival analyses were performed by Kaplan-Meier curves and the log-rank test. Independent prognostic factors were determined by multivariate Cox regression analysis.

Results: Among the clinicopathological factors analyzed, histologic type (p=0.04), time to relapse after primary surgery (p=0.03), and the number of relapse sites (p=0.03) were significantly related to survival after relapse. Multivariate analysis revealed that time to relapse after primary surgery (hazard ratio, 6.8; p=0.004) and the number of relapse sites (hazard ratio, 11.1; p=0.002) were independent prognostic factors for survival after relapse. Survival after relapse could be stratified into three groups by the combination of two independent prognostic factors.

Conclusion: We conclude that time to relapse after primary surgery, and the number of relapse sites were independent prognostic factors for survival after relapse in patients with recurrent endometrial cancer.
KEYWORD
Endometrial cancer, Recurrence, Prognostic factor, Multivariate analysis
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