Amsterdam UMC, Vrije Universiteit Amsterdam, Urology, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Amsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Epigenomics. 2019 Feb;11(3):337-347. doi: 10.2217/epi-2018-0094. Epub 2019 Feb 1.
To analyze the potential of 14 cancer-associated genes, including six miRNAs, for bladder cancer (BC) diagnosis in urine.
PATIENTS & METHODS: 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.
分析 14 个癌症相关基因（包括 6 个 miRNA）在尿液中用于膀胱癌（BC）诊断的潜力。
采用定量甲基化特异性 PCR 分析 72 例 BC 患者和 75 例健康对照者尿液中 14 个基因的 DNA 甲基化水平。采用多变量逻辑回归分析确定最佳标志物组合。
10 个基因在 BC 患者中呈显著高甲基化。GHSR/MAL 组合的诊断性能最佳，其敏感性为 92%（95%CI：86-99），特异性为 85%（95%CI：76-94）。
我们鉴定了一个新的两基因组合，其用于 BC 的诊断准确性高，可应用于非侵入性、基于尿液的检测。
