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首页> 外文期刊>Clinica chimica acta: International journal of clinical chemistry and applied molecular biology >Diagnostic values of urine CYFRA21-1, NMP22, UBC, and FDP for the detection of bladder cancer
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Diagnostic values of urine CYFRA21-1, NMP22, UBC, and FDP for the detection of bladder cancer

机译:尿CYFRA21-1,NMP22,UBC和FDP对膀胱癌检测的诊断价值

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摘要

Background: We compared the diagnostic utilities of CYFRA 21-1, nuclear matrix protein-22 (NMP22), urinary bladder cancer antigen (UBC), and fibrin/fibrinogen degradation products (FDP) for detecting urinary bladder cancer.Methods: We assayed CYFRA 21-1, NMP22, UBC and FDP from urine samples for 250 subjects. Among them, 54 were diagnosed as bladder cancer, and the remaining 196, which consisted of healthy individuals and patients with hematuria, inflammation/infection, or benign prostate hyperplasia, were assigned to the control group. Results: Urinary levels of all 4 markers were higher in the bladder cancer group than the control group. The areas under the receiver operating characteristic curves (ROC-AUCs) of CYFRA 21-1, NMP22, UBC and FDP, corrected with urine creatinine concentrations, were 0.90, 0.89, 0.80 and 0.77, respectively, for discriminating bladder cancer from controls. The ROC-AUCs for the combinations of the markers were not significantly higher than those with CYFRA 21-1 or NMP22. NMP22 was the only independent variable for predicting bladder cancer among the four markers in the multivariate analysis.Conclusions: All 4 tumor biomarkers exhibited diagnostic utility for predicting bladder cancer. Among them, CYFRA 21-1 and NMP22 were the most effective at predicting bladder cancer.
机译:背景:我们比较了CYFRA 21-1,核基质蛋白22(NMP22),膀胱癌抗原(UBC)和纤维蛋白/纤维蛋白原降解产物(FDP)在检测膀胱癌中的诊断效用。从250名受试者的尿液样本中获取21-1,NMP22,UBC和FDP。其中54例被诊断为膀胱癌,其余196例由健康个体和血尿,炎症/感染或良性前列腺增生患者组成。结果:膀胱癌组中所有4种标志物的尿液水平均高于对照组。 CYFRA 21-1,NMP22,UBC和FDP的接受者工作特征曲线(ROC-AUC)下的面积(经尿肌酐浓度校正)分别为0.90、0.89、0.80和0.77,以区分膀胱癌与对照。标记物组合的ROC-AUC并不显着高于CYFRA 21-1或NMP22。在多变量分析的四个标记中,NMP22是唯一可预测膀胱癌的独立变量。结论:所有四个肿瘤生物标记均具有预测膀胱癌的诊断价值。其中,CYFRA 21-1和NMP22在预测膀胱癌方面最有效。

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