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

BMC Cancer

Research Article

Jiejie Xu¹  Wei Xi²  Yu Xia²  Yang Qu²  Qi Bai²  Ying Xiong²  Jianming Guo²  Li Liu²  Jiajun Wang² 

[1] Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, 200032, Shanghai, China;Department of Urology, Zhongshan Hospital, Fudan University, 200032, Shanghai, China;

关键词: Chemokine (C–C motif) ligand 17;    Clear cell renal cell carcinoma;    Prognostic factor;    Overall survival;    Recurrence-free survival;   

DOI  :  10.1186/s12885-017-3106-y

 received in 2016-06-11, accepted in 2017-02-01,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundChemokine (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).MethodsThe 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.ResultsKaplan-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.ConclusionLow 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.

【 授权许可】

CC BY   
© The Author(s). 2017