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Detection of low frequency FGFR3 mutations in the urine of bladder cancer patients using next-generation deep sequencing

DOI: http://dx.doi.org/10.2147/RRU.S32736

Keywords: FGFR3, mutation, urine, single molecule, sequencing, bladder cancer Corrigendum for this paper has been published

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Abstract:

ection of low frequency FGFR3 mutations in the urine of bladder cancer patients using next-generation deep sequencing Original Research (1589) Total Article Views Authors: Millholland JM, Li S, Fernandez CA, Shuber AP Published Date June 2012 Volume 2012:4 Pages 33 - 40 DOI: http://dx.doi.org/10.2147/RRU.S32736 Received: 07 April 2012 Accepted: 18 May 2012 Published: 27 June 2012 John M Millholland, Shuqiang Li, Cecilia A Fernandez, Anthony P Shuber Predictive Biosciences Inc, Lexington, MA, USA Abstract: Biological fluid-based noninvasive biomarker assays for monitoring and diagnosing disease are clinically powerful. A major technical hurdle for developing these assays is the requirement of high analytical sensitivity so that biomarkers present at very low levels can be consistently detected. In the case of biological fluid-based cancer diagnostic assays, sensitivities similar to those of tissue-based assays are difficult to achieve with DNA markers due to the high abundance of normal DNA background present in the sample. Here we describe a new urine-based assay that uses ultradeep sequencing technology to detect single mutant molecules of fibroblast growth factor receptor 3 (FGFR3) DNA that are indicative of bladder cancer. Detection of FGFR3 mutations in urine would provide clinicians with a noninvasive means of diagnosing early-stage bladder cancer. The single-molecule assay detects FGFR3 mutant DNA when present at as low as 0.02% of total urine DNA and results in 91% concordance with the frequency that FGFR3 mutations are detected in bladder cancer tumors, significantly improving diagnostic performance. To our knowledge, this is the first practical application of next-generation sequencing technology for noninvasive cancer diagnostics.

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