Department of Urology, Zhongshan Hospital, Shanghai Medical College of Fudan University, Shanghai 200032, China.
Department of Urology, Ninth People's Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200011, China.
Br J Cancer. 2014 Apr 29;110(9):2261-8. doi: 10.1038/bjc.2014.179. Epub 2014 Apr 8.
Aberrant CXC chemokine receptor 4 (CXCR4) expressions in malignant tissues have been reported; however, its role in kidney cancer prognosis remains unknown. The aim of this study was to determine the prognostic value of CXCR4 expression in patients with clear-cell renal cell carcinoma (ccRCC).
The study included 225 patients with ccRCC. The cohort was split into a training set (n=125) and a validation set (n=100). CXC chemokine receptor 4 expression was analysed by immunohistochemical staining and its correlations with clinicopathologic features and prognosis were evaluated.
CXCR4-staining intensity increased gradually accompanied with disease progression from TNM stages I to IV in 225 patients with ccRCC. Moreover, high CXCR4 expression indicated reduced overall survival (OS) in the training (P<0.001) and validation (P<0.001) sets, especially for patients with early-stage (TNM stage I+II) diseases. Furthermore, CXCR4 expression was identified as an independent prognostic factor for OS, and combining TNM stage with CXCR4 expression showed a better prognostic value for OS in both sets.
High CXCR4 expression, an independent adverse prognostic factor, could be combined with TNM stage to generate a predictive nomogram for clinical outcome in patients with ccRCC.
已有研究报道恶性组织中存在异常的 CXC 趋化因子受体 4（CXCR4）表达，但 CXCR4 在肾细胞癌预后中的作用尚不清楚。本研究旨在确定 CXCR4 表达在透明细胞肾细胞癌（ccRCC）患者中的预后价值。
本研究纳入 225 例 ccRCC 患者。将队列分为训练集（n=125）和验证集（n=100）。通过免疫组织化学染色分析 CXC 趋化因子受体 4 的表达，并评估其与临床病理特征和预后的相关性。
在 225 例 ccRCC 患者中，CXCR4 染色强度随着疾病从 TNM 分期 I 期到 IV 期的进展而逐渐增加。此外，高 CXCR4 表达预示着训练集（P<0.001）和验证集（P<0.001）中患者总生存期（OS）降低，尤其是早期（TNM 分期 I+II）疾病患者。此外，CXCR4 表达是 OS 的独立预后因素，在两组中，将 TNM 分期与 CXCR4 表达相结合可更好地预测 OS。
高 CXCR4 表达是独立的不良预后因素，可与 TNM 分期相结合，为 ccRCC 患者的临床结局生成预测列线图。
