Urine tenascin-C is an independent risk factor for bladder cancer patients
Urine tenascin-C is an independent risk factor for bladder cancer patients
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尿液生腱蛋白-C是膀胱癌患者的独立危险因素
DOI：
10.3892/mmr.2013.1873
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发表时间：
2014-03-01
影响因子：
3.4
通讯作者：
Li, Lei
中科院分区：
文献类型：
--
作者：
Guan, Zhenfeng;Zeng, Jin;Li, Lei
尿液生物标志物提供了检测膀胱癌、监测疾病进展和预测疾病复发和治疗效果的非侵入性方法。腱生蛋白-C（TN-C）作为细胞外基质的组成部分，在膀胱癌的发展中至关重要。然而，尿TN-C与膀胱癌分级、分期、复发及预后的关系尚未见报道。在本研究中，66例膀胱癌患者和42例志愿者的排尿样本。使用ELISA测定法测定尿TN-C浓度。采用秩相关分析法分析尿TN-C浓度与膀胱癌分级、分期及诊断至复发时间的相关性。多因素考克斯比例风险回归分析年龄、性别、肿瘤分级、分期、复发、尿TN-C浓度等因素对生存的影响。最后采用Kaplan-Meier法评价尿TN-C作为单因素对生存率的影响。结果表明，膀胱癌患者尿TN-C浓度高于健康对照组（22.5倍）。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，与膀胱癌诊断至复发时间呈负相关。多因素考克斯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。本研究结果提示尿TN-C可作为监测膀胱癌复发和预测预后的生物标志物。但是，应首先排除尿路炎症。
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.