| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5687038 | The Journal of Urology | 2017 | 21 Pages |
Abstract
We report that a urine based classifier panel of 4 methylation biomarkers predicts disease progression in patients on active surveillance. Once validated in independent active surveillance cohorts, these promising biomarkers may help establish a less invasive method to monitor patients on active surveillance programs.
Keywords
DREconcordance statisticPSA-DTc-statisticPMRPSAPCAAluProstate specific antigenMRIGoIMagnetic resonance imagingProstate cancerDNA methylationdigital rectal examinationWatchful waitingProstatic neoplasmsBiomarkersActive surveillanceGleason scorepolymerase chain reactionPCRDisease progressiongene of interest
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Authors
Fang Zhao, Ekaterina Olkhov-Mitsel, Theodorus van der Kwast, Jenna Sykes, Darko Zdravic, Vasundara Venkateswaran, Alexandre R. Zlotta, Andrew Loblaw, Neil E. Fleshner, Laurence Klotz, Danny Vesprini, Bharati Bapat,