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Chakraborty A, Dasari S, Long W, et al. Urine protein biomarkers for the detection, surveillance, and treatment response prediction of bladder cancer. Am J Cancer Res. 2019;9(6):1104-1117
Chakraborty, A., Dasari, S., Long, W., & Mohan, C. (2019). Urine protein biomarkers for the detection, surveillance, and treatment response prediction of bladder cancer. American journal of cancer research, 9(6), 1104-1117.
Chakraborty, Ashish, et al. "Urine protein biomarkers for the detection, surveillance, and treatment response prediction of bladder cancer." American journal of cancer research vol. 9,6 (2019): 1104-1117.
Chakraborty A, Dasari S, Long W, Mohan C. Urine protein biomarkers for the detection, surveillance, and treatment response prediction of bladder cancer. Am J Cancer Res. 2019 Jun 01;9(6):1104-1117. eCollection 2019. PMID: 31285945; PMCID: PMC6610049.
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Am J Cancer Res. 2019 Jun 01;9(6):1104-1117. eCollection 2019.

Urine protein biomarkers for the detection, surveillance, and treatment response prediction of bladder cancer.

American journal of cancer research

Ashish Chakraborty, Shobha Dasari, Wang Long, Chandra Mohan

Affiliations

  1. Department of Biomedical Engineering, University of Houston Houston, TX, USA.
  2. Department of Urology, Xiangya Hospital, Central South University Changsha 410008, Hunan, China.

PMID: 31285945 PMCID: PMC6610049

Abstract

The "gold standard" diagnostic procedure for bladder cancer is cystoscopy, a technique that can be invasive, expensive, and a possible cause of urinary tract infection. Unlike techniques such as histology, PCR, and staining, assays for protein biomarkers lend themselves well to the creation of efficient point-of-care tests, which are easy to use and yield fast results. A couple of urine-based tests have been approved by the U.S. FDA, but these tests suffer from low sensitivity. Hence, there is clearly a need for more reliable non-invasive biomarkers of bladder cancer. Urinary biomarkers are particularly attractive due to the direct contact of the urine with the urothelial tumor and the ease of sample collection. With these considerations, this review aims to provide a comprehensive listing of the most promising protein biomarkers of bladder cancer in urine. Biomarkers are organized by their potential role in detection, surveillance, or monitoring of treatment response. The purpose of this review is to assess progress towards the goal of identifying ideal urinary proteins for use in each of the above three biomarker applications in bladder cancer.

Keywords: NMIBC; NMP22 test; Point-of-care tests; proteomics; tumor recurrence

Conflict of interest statement

None.

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