A two-gene methylation signature for the diagnosis of bladder cancer in urine

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

doi:10.2217/epi-2018-0094

A two-gene methylation signature for the diagnosis of bladder cancer in urine

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

Research output: Contribution to journal › Article › Academic › peer-review

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.

Original language	English
Pages (from-to)	337-347
Number of pages	11
Journal	Epigenomics
Volume	11
Issue number	3
Early online date	1 Feb 2019
DOIs	https://doi.org/10.2217/epi-2018-0094
Publication status	Published - Feb 2019

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Cite this

Bosschieter, J., Nieuwenhuijzen, J. A., Hentschel, A., van Splunter, A. P., Segerink, L. I., Vis, A. N., ... Steenbergen, R. D. (2019). A two-gene methylation signature for the diagnosis of bladder cancer in urine. Epigenomics, 11(3), 337-347. https://doi.org/10.2217/epi-2018-0094

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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.",

keywords = "biomarkers, methylation, molecular diagnostics, urinary bladder neoplasms, urine analysis",

author = "Judith Bosschieter and Nieuwenhuijzen, {Jakko A} and Anouk Hentschel and {van Splunter}, {Annina P} and Segerink, {Loes I} and Vis, {Andr{\'e} N} and Wilting, {Saskia M} and Lissenberg-Witte, {Birgit I} and {A van Moorselaar}, {R Jeroen} and Steenbergen, {Renske Dm}",

year = "2019",

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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, Vol. 11, No. 3, 02.2019, p. 337-347.

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

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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.

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