To analyze the potential of 14 cancer-associated genes, including six miRNAs, for bladder cancer (BC) diagnosis in urine.
DNA methylation levels of 14 genes were analyzed in urine of 72 BC patients and 75 healthy controls using quantitative methylation-specific PCR. Multivariate logistic regression analysis was used to determine an optimal marker panel.
Ten genes were significantly hypermethylated in BC patients. The GHSR/MAL combination showed the best diagnostic performance, reaching a sensitivity of 92% (95% CI: 86-99) and a specificity of 85% (95% CI: 76-94).
We identified a novel two-gene panel with a high diagnostic accuracy for BC that can be applied in a noninvasive, urine-based test.
Epigenomics. 2019 Feb 01 [Epub ahead of print]
Judith Bosschieter, Jakko A Nieuwenhuijzen, Anouk Hentschel, Annina P van Splunter, Loes I Segerink, André N Vis, Saskia M Wilting, Birgit I Lissenberg-Witte, R Jeroen A van Moorselaar, Renske Dm Steenbergen
Amsterdam UMC, Vrije Universiteit Amsterdam, Urology, Cancer Center Amsterdam, Amsterdam, The Netherlands., Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, The Netherlands., BIOS Lab on a Chip group, MESA+ & MIRA institutes, University of Twente, Enschede, The Netherlands., Amsterdam UMC, Vrije Universiteit Amsterdam, Epidemiology & Biostatistics, Amsterdam Public Health, Amsterdam, The Netherlands.