| Literature DB >> 30578357 |
Jonathan C Dudley1, Joseph Schroers-Martin2,3, Daniel V Lazzareschi1, William Y Shi1, Simon B Chen1, Mohammad S Esfahani3, Dharati Trivedi4,5, Jacob J Chabon3, Aadel A Chaudhuri3,6, Henning Stehr1, Chih Long Liu2,3,7, Harumi Lim1, Helio A Costa1, Barzin Y Nabet3, Mandy L Y Sin8, Joseph C Liao3,4,5, Ash A Alizadeh9,3,7,10, Maximilian Diehn11,6,10.
Abstract
Current regimens for the detection and surveillance of bladder cancer 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 bladder cancer who had urine collected either prior to treatment or during surveillance. Using this targeted sequencing approach, we detected a median of 6 mutations per patient with bladder cancer and observed surprisingly frequent mutations of the PLEKHS1 promoter (46%), suggesting these mutations represent a useful biomarker for detection of bladder cancer. We detected utDNA pretreatment in 93% of cases using a tumor mutation-informed approach and in 84% when blinded to tumor mutation status, with 96% to 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 ≤ 0.006), detecting 100% of bladder cancer 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 bladder cancer. SIGNIFICANCE: This study shows that utDNA can be detected using HTS with high sensitivity and specificity in patients with early-stage bladder cancer and during post-treatment surveillance, significantly outperforming standard diagnostic modalities and facilitating noninvasive detection, genotyping, and monitoring.This article is highlighted in the In This Issue feature, p. 453. ©2018 American Association for Cancer Research.Entities:
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Year: 2018 PMID: 30578357 PMCID: PMC6467650 DOI: 10.1158/2159-8290.CD-18-0825
Source DB: PubMed Journal: Cancer Discov ISSN: 2159-8274 Impact factor: 39.397