Oncology Research Lab, Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an, Shaanxi, P.R. China.
Department of Urology, The First Affiliated Hospital of Medical College of Xi'an Jiaotong University, Xi'an, Shaanxi, P.R. China.
Mol Med Rep. 2014 Mar;9(3):961-6. doi: 10.3892/mmr.2013.1873. Epub 2013 Dec 18.
Urine biomarkers offer a non‑invasive method of detecting bladder cancer, monitoring disease progression and predicting disease recurrence and therapeutic treatment efficacy. Tenascin‑C (TN‑C), as a component of the extracellular matrix, is vital in the progression of bladder cancer. However, there is little to report with regard to urine TN‑C and its correlation with bladder cancer grade, stage, recurrence and prognosis. In the present study, 66 samples of voided urine from patients with bladder cancer and 42 samples from volunteers were obtained. The urine TN‑C concentration was determined using an ELISA assay. The correlation between the urine TN‑C concentration and the tumor grade, stage and time from bladder cancer diagnosis to recurrence was analyzed by a rank correlation analysis. Multivariate Cox proportional hazards regression was used for finding the main life‑threatening factors among age, gender, tumor grade, stage, relapse and the urine TN‑C concentration. At the end, the Kaplan‑Meier method was used to evaluate the survival rate affected by urine TN‑C as a single factor. The results indicated that the urine TN‑C concentration in the bladder cancer patients was higher compared with the healthy control volunteers (22.5 times higher). Among all the patients, urine TN‑C concentration had a positive correlation with the bladder cancer grade and stage, with correlation coefficients of 0.905 and 0.308, respectively; however, this correlation was negative between urine TN‑C concentration and the time from bladder cancer diagnosis to recurrence. Moreover, the multivariate Cox proportional hazards model analysis indicated that urine TN‑C, like tumor grade and recurrence, may be an independent risk factor for bladder cancer patient survival. However, it is noteworthy that inflammation may affect the concentration of urine TN‑C. The results of the present study indicate that urine TN‑C may be used as a biomarker for monitoring the recurrence of bladder cancer in patients and for predicting its prognosis. However, inflammation of the urinary tract should be excluded first.
尿生物标志物为检测膀胱癌、监测疾病进展、预测疾病复发和治疗效果提供了一种非侵入性方法。Tenascin-C（TN-C）作为细胞外基质的组成部分，在膀胱癌的进展中至关重要。然而，关于尿 TN-C 及其与膀胱癌分级、分期、复发和预后的相关性的报道甚少。在本研究中，收集了 66 例膀胱癌患者和 42 例志愿者的晨尿样本。采用 ELISA 法测定尿 TN-C 浓度。采用秩相关分析分析尿 TN-C 浓度与肿瘤分级、分期及膀胱癌诊断至复发时间的相关性。采用多变量 Cox 比例风险回归分析寻找年龄、性别、肿瘤分级、分期、复发和尿 TN-C 浓度等主要危及生命因素。最后，采用 Kaplan-Meier 法评估尿 TN-C 作为单一因素对生存率的影响。结果表明，膀胱癌患者的尿 TN-C 浓度高于健康对照组志愿者（高 22.5 倍）。在所有患者中，尿 TN-C 浓度与膀胱癌分级和分期呈正相关，相关系数分别为 0.905 和 0.308；然而，尿 TN-C 浓度与膀胱癌诊断至复发时间呈负相关。此外，多变量 Cox 比例风险模型分析表明，尿 TN-C 与肿瘤分级和复发一样，可能是膀胱癌患者生存的独立危险因素。但值得注意的是，炎症可能会影响尿 TN-C 的浓度。本研究结果表明，尿 TN-C 可作为监测膀胱癌患者复发和预测其预后的生物标志物。但应首先排除尿路炎症。
