Detection and surveillance of bladder cancer using urine tumor DNA.
By: Jonathan C Dudley, Joseph Schroers-Martin, Daniel V Lazzareschi, William Y Shi, Simon B Chen, Mohammad Shahrokh Esfahani, Dharati Trivedi, Jacob J Chabon, Aadel A Chaudhuri, Henning Stehr, Chih Long Liu, Harumi Lim, Helio A Costa, Barzin Y Nabet, Mandy L Y Sin, Joseph C Liao, Ash A Alizadeh, Maximilian Diehn

Stanford Cancer Institute, Stanford University.
2018-12-18; doi: 10.1158/2159-8290.CD-18-0825
Abstract

Current regimens for the detection and surveillance of bladder cancer (BLCA) are invasive and have suboptimal sensitivity. Here, we present a novel high-throughput sequencing (HTS) method for detection of urine tumor DNA (utDNA) called utDNA CAPP-Seq (uCAPP-Seq) and apply it to 67 healthy adults and 118 patients with early-stage BLCA who either had urine collected prior to treatment or during surveillance. Using this targeted sequencing approach, we detected a median of 6 mutations per BLCA patient and observed surprisingly frequent mutations of the PLEKHS1 promoter (46%), suggesting these mutations represent a useful biomarker for detection of BLCA. We detected utDNA pre-treatment in 93% of cases using a tumor mutation-informed approach and in 84% when blinded to tumor mutation status, with 96-100% specificity. In the surveillance setting, we detected utDNA in 91% of patients who ultimately recurred, with utDNA detection preceding clinical progression in 92% of cases. uCAPP-Seq outperformed a commonly used ancillary test (UroVysion, p=0.02) and cytology and cystoscopy combined (p is less than or equal to 0.006), detecting 100% of BLCA cases detected by cytology and 82% that cytology missed. Our results indicate that uCAPP-Seq is a promising approach for early detection and surveillance of BLCA.



Copyright ©2018, American Association for Cancer Research.

PMID:30578357






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