已发表论文

治疗前中性粒细胞计数在转移性肾细胞癌中的预后价值:系统评价和荟萃分析

 

Authors Shen J, Chen Z, Fan M, Lu H, Zhuang Q, He X

Received 29 December 2018

Accepted for publication 9 April 2019

Published 10 June 2019 Volume 2019:11 Pages 5365—5374

DOI https://doi.org/10.2147/CMAR.S199849

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Colin Mak

Peer reviewer comments 2

Editor who approved publication: Dr Antonella D'Anneo

Background: In recent years, inflammation has become widely recognized as a crucial component in tumor development and progression. Neutrophils are one of the most common inflammatory markers during hematological examinations. The prognostic value of neutrophils in metastatic renal cell carcinoma (mRCC) remains inconsistent. The aim of this meta-analysis is to evaluate the prognostic value of pretreatment neutrophil count in patients with mRCC.
Methods: PubMed, Web of Science and Embase were searched for data on the association between pretreatment neutrophil count and mRCC prognosis up to October 7, 2017. We sorted out relevant studies and extracted the hazard ratio (HR) and its 95% confidence interval (CI) for overall survival (OS) and progression-free survival (PFS).
Results: A total of 13 studies containing 3,021 patients with mRCC were summarized in the present meta-analysis. An elevated pretreatment neutrophil count yielded a worse OS (HR=2.17, 95% CI=1.68–2.79, <0.001) and PFS (HR=1.78, 95% CI=0.91–3.49, <0.001). Furthermore, we performed a subgroup analysis based on cut-off value, ethnicity, treatment method and analysis type. As a result, the association between pretreatment neutrophil count and survival was statistically significant in the subgroups of cut-off value, ethnicity, treatment method and analysis type.
Conclusion: Our results show that the pretreatment neutrophil count is associated with mRCC outcomes and can be used as a valuable inflammatory marker for prognosis monitoring.
Keywords: neutrophils, clear-cell metastatic renal cell carcinoma, prognosis, meta-analysis




Figure 1 Flow diagram of the study selection process.