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Clinicopathological impacts of c-Met overexpression in bladder cancer: evidence from 1,336 cases

Authors Xu X, Zhang G, He L, Zhu Y

Received 8 December 2018

Accepted for publication 19 February 2019

Published 10 April 2019 Volume 2019:12 Pages 2695—2702


Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Colin Mak

Peer reviewer comments 2

Editor who approved publication: Dr Sanjeev Srivastava

Xin Xu,1,* Guanjun Zhang,2,* Liujia He,1,* Yi Zhu1

1Department of Urology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310003, Zhejiang, People’s Republic of China; 2Department of Urology, Hospital of Traditional Chinese Medicine of Shangyu, Shangyu 312300, Zhejiang, People’s Republic of China

*These authors contributed equally to this work

Background: The clinicopathological impacts of c-Met overexpression in bladder cancer have been investigated in several studies with conflicting results. We performed this systematic review and meta-analysis to assess the pathologic and prognostic roles of c-Met status in bladder cancer patients.
Methods: Eligible studies were searched and identified from the PubMed and China National Knowledge Infrastructure (CNKI) databases (up until October 4, 2018). The DerSimonian-Laird random-effects model was used to calculate the pooled risk estimates.
Results: Eight studies including 1,336 bladder cancer cases were eventually included in this meta-analysis. We detected a significantly increased risk of poor overall survival (OS) associated with the high expression of c-Met (HR=2.42, 95% CI 1.36–4.32). There was no association between c-Met status and nuclear grade (OR=0.82, 95% CI 0.29–2.31) or tumor stage (OR=1.42, 95% CI 0.41–4.89).
Conclusion: This study shows that the overexpression of c-Met in primary cancer tissues is associated with a worse OS in human bladder cancer. However, larger studies using standardized methods and criteria are warranted to verify these findings.

Keywords: bladder cancer, c-Met, overall survival, meta-analysis

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