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Published in: Journal of Neuro-Oncology 2/2018

01-04-2018 | Clinical Study

Treatment and outcomes of 28 patients with spinal metastasis from gynecological cancer

Authors: Xin Gao, Chenglong Zhao, Shaohui He, Tianqi Fan, Wei Xu, Cheng Yang, Tielong Liu, Jianru Xiao

Published in: Journal of Neuro-Oncology | Issue 2/2018

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Abstract

The aim of this study was to provide some useful information concerning clinical characteristics, surgical treatment, potential contributing factor and prognostic factors for patients with gynecological cancer (GC) spinal metastasis. We reviewed 28 patients with GC spinal metastasis in our spine tumor center between July 2008 and July 2015. Surgeries were performed on 22 of them. Univariate and multivariate analyses were conducted to identify potential prognostic factors affecting spinal metastasis-free survival (SMFS) and overall survival. The operative patients responded favorably according to decrease of VAS score and increase of Frankel grade after surgery. The 1- and 2-year survival rates in all patients were 60.7 and 41.0%, respectively. Univariate analysis suggested that age at diagnosis with GC was the potential contributing factor for spinal metastasis, while Frankel grade, ECOG-PS, visceral metastasis and chemotherapy were the potential prognostic factors affecting survival. Multivariate analysis indicated that the independent prognostic factors came from visceral metastasis and chemotherapy. Surgery played an important role in improving patients’ quality of life. Patients over 50 years old had a shorter SMFS after diagnosed with GC. Visceral metastasis was an adverse prognostic factor for patients with GC spinal metastasis, while chemotherapy was a favorable one.
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Metadata
Title
Treatment and outcomes of 28 patients with spinal metastasis from gynecological cancer
Authors
Xin Gao
Chenglong Zhao
Shaohui He
Tianqi Fan
Wei Xu
Cheng Yang
Tielong Liu
Jianru Xiao
Publication date
01-04-2018
Publisher
Springer US
Published in
Journal of Neuro-Oncology / Issue 2/2018
Print ISSN: 0167-594X
Electronic ISSN: 1573-7373
DOI
https://doi.org/10.1007/s11060-017-2728-x

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