Abstract
AIM: 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.
RESULTS: 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).
CONCLUSION: We identified a novel two-gene panel with a high diagnostic accuracy for BC that can be applied in a noninvasive, urine-based test.
| Language | English |
|---|---|
| Journal | Epigenomics |
| Early online date | 1 Feb 2019 |
| DOIs | |
| Publication status | E-pub ahead of print - 1 Feb 2019 |
Cite this
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A two-gene methylation signature for the diagnosis of bladder cancer in urine. / Bosschieter, Judith; Nieuwenhuijzen, Jakko A; Hentschel, Anouk; van Splunter, Annina P; Segerink, Loes I; Vis, André N; Wilting, Saskia M; Lissenberg-Witte, Birgit I; A van Moorselaar, R Jeroen; Steenbergen, Renske Dm.
In: Epigenomics, 01.02.2019.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - A two-gene methylation signature for the diagnosis of bladder cancer in urine
AU - Bosschieter, Judith
AU - Nieuwenhuijzen, Jakko A
AU - Hentschel, Anouk
AU - van Splunter, Annina P
AU - Segerink, Loes I
AU - Vis, André N
AU - Wilting, Saskia M
AU - Lissenberg-Witte, Birgit I
AU - A van Moorselaar, R Jeroen
AU - Steenbergen, Renske Dm
PY - 2019/2/1
Y1 - 2019/2/1
N2 - AIM: 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.RESULTS: 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).CONCLUSION: We identified a novel two-gene panel with a high diagnostic accuracy for BC that can be applied in a noninvasive, urine-based test.
AB - AIM: 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.RESULTS: 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).CONCLUSION: We identified a novel two-gene panel with a high diagnostic accuracy for BC that can be applied in a noninvasive, urine-based test.
U2 - 10.2217/epi-2018-0094
DO - 10.2217/epi-2018-0094
M3 - Article
JO - Epigenomics
T2 - Epigenomics
JF - Epigenomics
SN - 1750-1911
ER -