Detection and surveillance of bladder cancer using urine tumor DNA

  • Jonathan C. Dudley
  • , Joseph Schroers-Martin
  • , Daniel V. Lazzareschi
  • , William Y. Shi
  • , Simon B. Chen
  • , Mohammad S. Esfahani
  • , Dharati Trivedi
  • , Jacob J. Chabon
  • , Aadel A. Chaudhuri
  • , Henning Stehr
  • , Chih Long Liu
  • , Harumi Lim
  • , Helio A. Costa
  • , Barzin Y. Nabet
  • , Joseph C. Liao
  • , Ash A. Alizadeh
  • , Ash A. Alizadeh

Research output: Contribution to journalArticlepeer-review

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% specifi city. 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.

Original languageEnglish
Pages (from-to)500-509
Number of pages10
JournalCancer discovery
Volume9
Issue number4
DOIs
StatePublished - Apr 2019

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