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

Research output: Contribution to journalArticleAcademicpeer-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.

LanguageEnglish
JournalEpigenomics
Early online date1 Feb 2019
DOIs
Publication statusE-pub ahead of print - 1 Feb 2019

Cite this

@article{c92b6b99cb414ba788de637e5733673f,
title = "A two-gene methylation signature for the diagnosis of bladder cancer in urine",
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.",
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",
month = "2",
day = "1",
doi = "10.2217/epi-2018-0094",
language = "English",
journal = "Epigenomics",
issn = "1750-1911",
publisher = "Future Medicine Ltd.",

}

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 journalArticleAcademicpeer-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 -