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BMC Cancer

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Open Access 01-12-2017 | Research article

Low CCL17 expression associates with unfavorable postoperative prognosis of patients with clear cell renal cell carcinoma

Authors: Ying Xiong, Li Liu, Yu Xia, Jiajun Wang, Wei Xi, Qi Bai, Yang Qu, Jiejie Xu, Jianming Guo

Published in: BMC Cancer | Issue 1/2017

Abstract

Background

Chemokine (C–C motif) ligand 17 (CCL17) is a chemokine mainly produced by myeloid dendritic cells. It is a ligand for CC chemokine receptor 4 (CCR4) and CC chemokine receptor 8 (CCR8). The aim of this study was to investigate prognostic values of CCL17 expression in patients with clear cell renal cell carcinoma (ccRCC).

Methods

The study included 286 patients with ccRCC. CCL17 expression was analyzed by immunohistochemistry on tissue microarrays. Prognostic values of CCL17 expression and patients’ clinical outcomes were evaluated.

Results

Kaplan-Meier method showed that low CCL17 expression was associated with worse patient overall survival (OS) and recurrence-free survival (RFS) (OS, P = 0.002; RFS, P = 0.007). Low CCL17 expression was an adverse independent risk factor for OS and RFS in multivariate analyses (OS, P = 0.006, P = 0.011 for bootstrap; RFS, P = 0.002, P = 0.025 for bootstrap). We constructed two nomograms incorporating parameters derived from multivariate analyses to predict patients’ OS and RFS (OS, c-index 0.799; RFS, c-index 0.787) and they performed better than existed integrated models.

Conclusion

Low CCL17 expression is a potential independent adverse prognostic biomarker for recurrence and survival of patients with ccRCC after nephrectomy. Established nomograms based on this information could help predict ccRCC patients’ OS and RFS.

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Title: Low CCL17 expression associates with unfavorable postoperative prognosis of patients with clear cell renal cell carcinoma
Authors: Ying Xiong
Li Liu
Yu Xia
Jiajun Wang
Wei Xi
Qi Bai
Yang Qu
Jiejie Xu
Jianming Guo
Publication date: 01-12-2017
Publisher: BioMed Central
Published in: BMC Cancer / Issue 1/2017
Electronic ISSN: 1471-2407
DOI: https://doi.org/10.1186/s12885-017-3106-y

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Abstract

Background

Methods

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