An online tool for evaluating diagnostic and prognostic gene expression biomarkers in bladder cancer.
An online tool for evaluating diagnostic and prognostic gene expression biomarkers in bladder cancer.
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DOI:
10.1186/s12894-015-0056-z
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发表时间:
2015-07-01
期刊:
影响因子:
2
通讯作者:
Dancik GM
中科院分区:
文献类型:
--
作者:
Dancik GM
In the past ~15 years, the identification of diagnostic and prognostic biomarkers from gene expression data has increased our understanding of cancer biology and has led to advances in the personalized treatment of many cancers. A diagnostic biomarker is indicative of tumor status such as tumor stage, while a prognostic biomarker is indicative of disease outcome. Despite these advances, however, there are no clinically approved biomarkers for the treatment of bladder cancer, which is the fourth most common cancer in males in the United States and one of the most expensive cancers to treat. Although gene expression profiles of bladder cancer patients are publicly available, biomarker identification requires bioinformatics expertise that is not available to many research laboratories. We collected gene expression data from 13 publicly available patient cohorts (N = 1454) and developed BC-BET, an online Bladder Cancer Biomarker Evaluation Tool for evaluating candidate diagnostic and prognostic gene expression biomarkers in bladder cancer. A user simply selects a gene, and BC-BET evaluates the utility of that gene’s expression as a diagnostic and prognostic biomarker. Specifically, BC-BET calculates how strongly a gene’s expression is associated with tumor presence (distinguishing tumor from normal samples), tumor grade (distinguishing low- from high-grade tumors), tumor stage (distinguishing non-muscle invasive from muscle invasive samples), and patient outcome (e.g., disease-specific survival) across all patients in each cohort. Patients with low-grade, non-muscle invasive tumors and patients with high-grade, muscle invasive tumors are also analyzed separately in order to evaluate whether the biomarker of interest has prognostic value independent of grade and stage. Although bladder cancer gene expression datasets are publicly available, their analysis is computationally intensive and requires bioinformatics expertise. BC-BET is an easy-to-use tool for rapidly evaluating bladder cancer gene expression biomarkers across multiple patient cohorts. The online version of this article (doi:10.1186/s12894-015-0056-z) contains supplementary material, which is available to authorized users.
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影响因子:
5.2
作者:
Dancik, Garrett M.;Owens, Charles R.;Iczkowski, Kenneth A.;Theodorescu, Dan
通讯作者:
Theodorescu, Dan
影响因子:
14.9
作者:
Rustici G;Kolesnikov N;Brandizi M;Burdett T;Dylag M;Emam I;Farne A;Hastings E;Ison J;Keays M;Kurbatova N;Malone J;Mani R;Mupo A;Pedro Pereira R;Pilicheva E;Rung J;Sharma A;Tang YA;Ternent T;Tikhonov A;Welter D;Williams E;Brazma A;Parkinson H;Sarkans U
通讯作者:
Sarkans U
影响因子:
14.9
作者:
Barrett T;Troup DB;Wilhite SE;Ledoux P;Evangelista C;Kim IF;Tomashevsky M;Marshall KA;Phillippy KH;Sherman PM;Muertter RN;Holko M;Ayanbule O;Yefanov A;Soboleva A
通讯作者:
Soboleva A
影响因子:
37.3
作者:
Kim WJ;Kim EJ;Kim SK;Kim YJ;Ha YS;Jeong P;Kim MJ;Yun SJ;Lee KM;Moon SK;Lee SC;Cha EJ;Bae SC
通讯作者:
Bae SC
影响因子:
51.1
作者:
Smith, Steven Christopher;Baras, Alexander Spyridon;Dancik, Garrett;Ru, Yuanbin;Ding, Kuan-Fu;Moskaluk, Christopher A.;Fradet, Yves;Lehmann, Jan;Stoeckle, Michael;Hartmann, Arndt;Lee, Jae K.;Theodorescu, Dan
通讯作者:
Theodorescu, Dan