BladMetrix: a novel urine DNA methylation test with high accuracy for detection of bladder cancer in hematuria patients.

BACKGROUND: Cystoscopy is the gold standard for bladder cancer detection, but is costly, invasive and has imperfect diagnostic accuracy. We aimed to identify novel and accurate DNA methylation biomarkers for non-invasive detection of bladder cancer in urine, with the potential to reduce the number of cystoscopies among hematuria patients. RESULTS: Biomarker candidates (n = 32) were identified from methylome sequencing of urological cancer cell lines (n = 16) and subjected to targeted methylation analysis in tissue samples (n = 60). The most promising biomarkers (n = 8) were combined into a panel named BladMetrix. The performance of BladMetrix in urine was assessed in a discovery series (n = 112), consisting of bladder cancer patients, patients with other urological cancers and healthy individuals, resulting in 95.7% sensitivity and 94.7% specificity. BladMetrix was furthermore evaluated in an independent prospective and blinded series of urine from patients with gross hematuria (n = 273), achieving 92.1% sensitivity, 93.3% specificity and a negative predictive value of 98.1%, with the potential to reduce the number of cystoscopies by 56.4%. CONCLUSIONS: We here present BladMetrix, a novel DNA methylation urine test for non-invasive detection of bladder cancer, with high accuracy across tumor grades and stages, and the ability to spare a significant number of cystoscopies among patients with gross hematuria.

DNA-Methylation-Based Detection of Urological Cancer in Urine: Overview of Biomarkers and Considerations on Biomarker Design, Source of DNA, and Detection Technologies.

Changes in DNA methylation have been causally linked with cancer and provide promising biomarkers for detection in biological fluids such as blood, urine, and saliva. The field has been fueled by genome-wide characterization of DNA methylation across cancer types as well as new technologies for sensitive detection of aberrantly methylated DNA molecules. For urological cancers, urine is in many situations the preferred "liquid biopsy" source because it contains exfoliated tumor cells and cell-free tumor DNA and can be obtained easily, noninvasively, and repeatedly. Here, we review recent advances made in the development of DNA-methylation-based biomarkers for detection of bladder, prostate, renal, and upper urinary tract cancers, with an emphasis on the performance characteristics of biomarkers in urine. For most biomarkers evaluated in independent studies, there was great variability in sensitivity and specificity. We discuss issues that impact the outcome of DNA-methylation-based detection of urological cancer and account for the great variability in performance, including genomic location of biomarkers, source of DNA, and technical issues related to the detection of rare aberrantly methylated DNA molecules. Finally, we discuss issues that remain to be addressed to fully exploit the potential of DNA-methylation-based biomarkers in the clinic, including the need for prospective trials and careful selection of control groups.

Noninvasive Detection of High Grade Prostate Cancer by DNA Methylation Analysis of Urine Cells Captured by Microfiltration.

PURPOSE: With the aim of developing a noninvasive test to detect clinically significant prostate cancer we investigated the potential of capturing cells from urine by microfiltration coupled with analysis of DNA methylation biomarkers. MATERIALS AND METHODS: In this prospective study urine from men suspected of having prostate cancer who were scheduled for transrectal ultrasound guided biopsy of the prostate was collected before digital rectal examination in 99, after digital rectal examination in 58 and from a urethral catheter in 7. Cells were isolated from whole volume voided urine using a filtration device containing a membrane filter with a pore size of 8 µm. Ten additional men provided 4 or 5 urine cell samples by self-collection prior to biopsy. Cellular DNA was analyzed for 5 methylation biomarkers using ddPCR™ (droplet digital polymerase chain reaction). RESULTS: Prostate cancer was diagnosed in 117 patients (71%). Across all tumor grades the sensitivity of urine DNA testing was 81% and 60% in samples obtained before and after digital rectal examination, respectively. In a prediction model including prostate specific antigen, patient age and the result of urine DNA analysis to detect high grade disease (Gleason score 7 or greater) an AUC of 0.95 (95% CI 0.90-1.00) was obtained for post-digital rectal examination samples. Analysis of repeat samples demonstrated substantial intraindividual variation in the shedding of cancerous cells in urine. CONCLUSIONS: Capturing cells from urine by microfiltration provides a novel tool to detect prostate cancer noninvasively with high sensitivity for high grade disease. Repeat sampling may increase sensitivity, particularly when urine is obtained without prior physical manipulation of the prostate.