IL-8 as a urinary biomarker for the detection of bladder cancer.
IL-8 as a urinary biomarker for the detection of bladder cancer.
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DOI：
10.1186/1471-2490-12-12
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发表时间：
2012-05-04
期刊：
影响因子：
2
通讯作者：
Rosser CJ
中科院分区：
文献类型：
--
作者：
Urquidi V;Chang M;Dai Y;Kim J;Wolfson ED;Goodison S;Rosser CJ
Current urine-based assays for bladder cancer (BCa) diagnosis lack accuracy, so the search for improved biomarkers continues. Through genomic and proteomic profiling of urine, we have identified a panel of biomarkers associated with the presence of BCa. In this study, we evaluated the utility of three of these biomarkers, interleukin 8 (IL-8), Matrix metallopeptidase 9 (MMP-9) and Syndecan in the diagnosis of BCa through urinalysis. Voided urines from 127 subjects, cancer subjects (n = 64), non-cancer subjects (n = 63) were analyzed. The protein concentrations of IL-8, MMP-9, and Syndecan were assessed by enzyme-linked immunosorbent assay (ELISA). Data were also compared to a commercial ELISA-based BCa detection assay (BTA-Trak©) and urinary cytology. We used the area under the curve of a receiver operating characteristic (AUROC) to compare the performance of each biomarker. Urinary protein concentrations of IL-8, MMP-9 and BTA were significantly elevated in BCa subjects. Of the experimental markers compared to BTA-Trak©, IL-8 was the most prominent marker (AUC; 0.79; 95% confidence interval [CI], 0.72-0.86). Multivariate regression analysis revealed that only IL-8 (OR; 1.51; 95% CI, 1.16-1.97, p = 0.002) was an independent factor for the detection of BCa. These results suggest that the measurement of IL-8 in voided urinary samples may have utility for urine-based detection of BCa. These findings need to be confirmed in a larger, prospective cohort.
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影响因子：
20.3
作者：
Seidel, C;Sundan, A;Borset, M
通讯作者：
Borset, M
DOI：
10.1158/1055-9965.epi-08-1002
发表时间：
2009-02
期刊：
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
影响因子：
--
作者：
Rosser CJ;Liu L;Sun Y;Villicana P;McCullers M;Porvasnik S;Young PR;Parker AS;Goodison S
通讯作者：
Goodison S
影响因子：
6.6
作者：
Kumar, A;Dubey, D;Naik, S
通讯作者：
Naik, S
关键评估用于分类或预测的生物标志物的准确性：研究设计标准。
影响因子：
10.3
作者：
Pepe, Margaret S.;Feng, Ziding;Janes, Holly;Bossuyt, Patrick M.;Potter, John D.
通讯作者：
Potter, John D.
影响因子：
2.2
作者：
Villicana P;Whiting B;Goodison S;Rosser CJ
通讯作者：
Rosser CJ