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Bladder cancer detection in urine using DNA methylation markers: a technical and prospective preclinical validation
The development of accurate urinary biomarkers for non-invasive and cost-effective detection of primary and recurrent bladder tumours is recognized as one of the major clinical needs in bladder cancer diagnostics. The purposes of this study were (1) to validate the results of a previous technical co...
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Published in: | Clinical epigenetics 2022-02, Vol.14 (1), p.19-19, Article 19 |
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description | The development of accurate urinary biomarkers for non-invasive and cost-effective detection of primary and recurrent bladder tumours is recognized as one of the major clinical needs in bladder cancer diagnostics. The purposes of this study were (1) to validate the results of a previous technical comparison by determining the diagnostic performance of nine methylation markers in urine pellet compared to full void urine, and (2) to validate the diagnostic performance of the optimal marker panel GHSR/MAL from a previous exploratory study in a preclinical setting.
Urine samples of 108 patients with bladder cancer and 100 age- and gender-matched controls were prospectively collected for methylation analysis. Urinary methylation levels of the markers FAM19A4, GHSR, MAL, miR-129, miR-935, PHACTR3, PRDM14, SST and ZIC1 were determined with quantitative methylation-specific PCR in urine pellet. Area under the curves (AUCs) were determined for individual markers and the marker panel GHSR/MAL. The diagnostic performance of the marker panel GHSR/MAL was evaluated in the total study population and in different subgroups of patients with bladder cancer using the Chi-square test. The diagnostic accuracy was assessed by leave-one-out cross-validation.
All nine urinary methylation markers (FAM19A4, GHSR, MAL, miR-129, miR-935, PHACTR3, PRDM14, SST and ZIC1) showed significantly higher methylation levels in bladder cancer patients than in controls (p |
doi_str_mv | 10.1186/s13148-022-01240-8 |
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Urine samples of 108 patients with bladder cancer and 100 age- and gender-matched controls were prospectively collected for methylation analysis. Urinary methylation levels of the markers FAM19A4, GHSR, MAL, miR-129, miR-935, PHACTR3, PRDM14, SST and ZIC1 were determined with quantitative methylation-specific PCR in urine pellet. Area under the curves (AUCs) were determined for individual markers and the marker panel GHSR/MAL. The diagnostic performance of the marker panel GHSR/MAL was evaluated in the total study population and in different subgroups of patients with bladder cancer using the Chi-square test. The diagnostic accuracy was assessed by leave-one-out cross-validation.
All nine urinary methylation markers (FAM19A4, GHSR, MAL, miR-129, miR-935, PHACTR3, PRDM14, SST and ZIC1) showed significantly higher methylation levels in bladder cancer patients than in controls (p < 0.001). Area under the curves (AUCs) of the nine methylation markers tested in urine pellet were similar to AUCs in full void urine of an independent previous cohort. GHSR/MAL reached an AUC of 0.89 (95% confidence interval [CI] 0.84-0.94), at 80% sensitivity and 93% specificity. Sensitivity of GHSR/MAL increased with higher tumour grades, higher tumour stages, in primary vs. recurrent tumours, and in males vs. females.
This technical validation supports the robustness of DNA methylation analysis in urine pellet and full void urine for the non-invasive detection of bladder cancer. Subsequent preclinical validation confirmed the diagnostic potential of GHSR/MAL. These findings underline the diagnostic potential of the marker panel GHSR/MAL for future bladder cancer diagnostics.</description><identifier>ISSN: 1868-7075</identifier><identifier>ISSN: 1868-7083</identifier><identifier>EISSN: 1868-7083</identifier><identifier>EISSN: 1868-7075</identifier><identifier>DOI: 10.1186/s13148-022-01240-8</identifier><identifier>PMID: 35123558</identifier><language>eng</language><publisher>Germany: BioMed Central Ltd</publisher><subject>Aged ; Area Under Curve ; Biomarkers ; Biomarkers - analysis ; Biomarkers - urine ; Bladder cancer ; Cancer ; Cellular biology ; Comparative analysis ; Deoxyribonucleic acid ; Diagnosis ; DNA ; DNA methylation ; DNA Methylation - genetics ; Early Detection of Cancer - methods ; Early Detection of Cancer - statistics & numerical data ; Female ; Gender ; Genetic aspects ; Genetic research ; Hematuria ; Humans ; Male ; Methylation ; Middle Aged ; Netherlands - epidemiology ; Oncology, Experimental ; Patients ; Population studies ; Prospective Studies ; ROC Curve ; Sample size ; Sensitivity and Specificity ; Software ; Tumors ; Urinary Bladder Neoplasms - diagnosis ; Urinary Bladder Neoplasms - epidemiology ; Urinary Bladder Neoplasms - urine ; Urine</subject><ispartof>Clinical epigenetics, 2022-02, Vol.14 (1), p.19-19, Article 19</ispartof><rights>2022. The Author(s).</rights><rights>COPYRIGHT 2022 BioMed Central Ltd.</rights><rights>2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c497t-6b387ed6ff1d00c23998e8a996339ca3c8a54d839b99d7f00709122ced239f213</citedby><cites>FETCH-LOGICAL-c497t-6b387ed6ff1d00c23998e8a996339ca3c8a54d839b99d7f00709122ced239f213</cites><orcidid>0000-0001-6397-0301</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818199/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2630540557?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35123558$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hentschel, Anouk E</creatorcontrib><creatorcontrib>Beijert, Irene J</creatorcontrib><creatorcontrib>Bosschieter, Judith</creatorcontrib><creatorcontrib>Kauer, Paul C</creatorcontrib><creatorcontrib>Vis, André N</creatorcontrib><creatorcontrib>Lissenberg-Witte, Birgit I</creatorcontrib><creatorcontrib>van Moorselaar, R Jeroen A</creatorcontrib><creatorcontrib>Steenbergen, Renske D M</creatorcontrib><creatorcontrib>Nieuwenhuijzen, Jakko A</creatorcontrib><title>Bladder cancer detection in urine using DNA methylation markers: a technical and prospective preclinical validation</title><title>Clinical epigenetics</title><addtitle>Clin Epigenetics</addtitle><description>The development of accurate urinary biomarkers for non-invasive and cost-effective detection of primary and recurrent bladder tumours is recognized as one of the major clinical needs in bladder cancer diagnostics. The purposes of this study were (1) to validate the results of a previous technical comparison by determining the diagnostic performance of nine methylation markers in urine pellet compared to full void urine, and (2) to validate the diagnostic performance of the optimal marker panel GHSR/MAL from a previous exploratory study in a preclinical setting.
Urine samples of 108 patients with bladder cancer and 100 age- and gender-matched controls were prospectively collected for methylation analysis. Urinary methylation levels of the markers FAM19A4, GHSR, MAL, miR-129, miR-935, PHACTR3, PRDM14, SST and ZIC1 were determined with quantitative methylation-specific PCR in urine pellet. Area under the curves (AUCs) were determined for individual markers and the marker panel GHSR/MAL. The diagnostic performance of the marker panel GHSR/MAL was evaluated in the total study population and in different subgroups of patients with bladder cancer using the Chi-square test. The diagnostic accuracy was assessed by leave-one-out cross-validation.
All nine urinary methylation markers (FAM19A4, GHSR, MAL, miR-129, miR-935, PHACTR3, PRDM14, SST and ZIC1) showed significantly higher methylation levels in bladder cancer patients than in controls (p < 0.001). Area under the curves (AUCs) of the nine methylation markers tested in urine pellet were similar to AUCs in full void urine of an independent previous cohort. GHSR/MAL reached an AUC of 0.89 (95% confidence interval [CI] 0.84-0.94), at 80% sensitivity and 93% specificity. Sensitivity of GHSR/MAL increased with higher tumour grades, higher tumour stages, in primary vs. recurrent tumours, and in males vs. females.
This technical validation supports the robustness of DNA methylation analysis in urine pellet and full void urine for the non-invasive detection of bladder cancer. Subsequent preclinical validation confirmed the diagnostic potential of GHSR/MAL. These findings underline the diagnostic potential of the marker panel GHSR/MAL for future bladder cancer diagnostics.</description><subject>Aged</subject><subject>Area Under Curve</subject><subject>Biomarkers</subject><subject>Biomarkers - analysis</subject><subject>Biomarkers - urine</subject><subject>Bladder cancer</subject><subject>Cancer</subject><subject>Cellular biology</subject><subject>Comparative analysis</subject><subject>Deoxyribonucleic acid</subject><subject>Diagnosis</subject><subject>DNA</subject><subject>DNA methylation</subject><subject>DNA Methylation - genetics</subject><subject>Early Detection of Cancer - methods</subject><subject>Early Detection of Cancer - statistics & numerical data</subject><subject>Female</subject><subject>Gender</subject><subject>Genetic aspects</subject><subject>Genetic research</subject><subject>Hematuria</subject><subject>Humans</subject><subject>Male</subject><subject>Methylation</subject><subject>Middle Aged</subject><subject>Netherlands - epidemiology</subject><subject>Oncology, Experimental</subject><subject>Patients</subject><subject>Population studies</subject><subject>Prospective Studies</subject><subject>ROC Curve</subject><subject>Sample size</subject><subject>Sensitivity and Specificity</subject><subject>Software</subject><subject>Tumors</subject><subject>Urinary Bladder Neoplasms - diagnosis</subject><subject>Urinary Bladder Neoplasms - epidemiology</subject><subject>Urinary Bladder Neoplasms - urine</subject><subject>Urine</subject><issn>1868-7075</issn><issn>1868-7083</issn><issn>1868-7083</issn><issn>1868-7075</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNptUk1vEzEQtRCIVqV_gAOyxIXLFn_sh80BKS0tIFVwgbPl2LOJi9cb7N1I_fdMkhIownPwyPPe88zoEfKSswvOVfu2cMlrVTEhKsZFzSr1hJxiQVUdU_LpMe-aE3Jeyh3DI7XWnD0nJ7LhQjaNOiXlMlrvIVNnk8PLwwRuCmOiIdE5hwR0LiGt6IcvCzrAtL6Pdl8ebP4BubyjliJjnYKzkdrk6SaPZbPT2ALm4GI41LY2Br_nviDPehsLnD_cZ-T7zfW3q0_V7dePn68Wt5WrdTdV7VKqDnzb99wz5gR2r0BZrVsptbPSKdvUXkm91Np3PWMd01wIBx6hveDyjLw_6G7m5QDeQZqyjWaTAzZ_b0YbzONKCmuzGrdGKa641ijw5kEgjz9nKJMZQnEQo00wzsWIFkPITjKEvv4HejfOOeF4iJKsqVnTdH9QKxvBhNSP-K_biZpFqwUTXVMLRF38B4XhYQhuTNAHfH9EEAeCw92XDP1xRs7Mzi3m4BaDbjF7txiFpFd_b-dI-e0N-Qs2brpE</recordid><startdate>20220205</startdate><enddate>20220205</enddate><creator>Hentschel, Anouk E</creator><creator>Beijert, Irene J</creator><creator>Bosschieter, Judith</creator><creator>Kauer, Paul C</creator><creator>Vis, André N</creator><creator>Lissenberg-Witte, Birgit I</creator><creator>van Moorselaar, R Jeroen A</creator><creator>Steenbergen, Renske D M</creator><creator>Nieuwenhuijzen, Jakko A</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6397-0301</orcidid></search><sort><creationdate>20220205</creationdate><title>Bladder cancer detection in urine using DNA methylation markers: a technical and prospective preclinical validation</title><author>Hentschel, Anouk E ; Beijert, Irene J ; Bosschieter, Judith ; Kauer, Paul C ; Vis, André N ; Lissenberg-Witte, Birgit I ; van Moorselaar, R Jeroen A ; Steenbergen, Renske D M ; Nieuwenhuijzen, Jakko A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c497t-6b387ed6ff1d00c23998e8a996339ca3c8a54d839b99d7f00709122ced239f213</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aged</topic><topic>Area Under Curve</topic><topic>Biomarkers</topic><topic>Biomarkers - analysis</topic><topic>Biomarkers - urine</topic><topic>Bladder cancer</topic><topic>Cancer</topic><topic>Cellular biology</topic><topic>Comparative analysis</topic><topic>Deoxyribonucleic acid</topic><topic>Diagnosis</topic><topic>DNA</topic><topic>DNA methylation</topic><topic>DNA Methylation - genetics</topic><topic>Early Detection of Cancer - methods</topic><topic>Early Detection of Cancer - statistics & numerical data</topic><topic>Female</topic><topic>Gender</topic><topic>Genetic aspects</topic><topic>Genetic research</topic><topic>Hematuria</topic><topic>Humans</topic><topic>Male</topic><topic>Methylation</topic><topic>Middle Aged</topic><topic>Netherlands - epidemiology</topic><topic>Oncology, Experimental</topic><topic>Patients</topic><topic>Population studies</topic><topic>Prospective Studies</topic><topic>ROC Curve</topic><topic>Sample size</topic><topic>Sensitivity and Specificity</topic><topic>Software</topic><topic>Tumors</topic><topic>Urinary Bladder Neoplasms - diagnosis</topic><topic>Urinary Bladder Neoplasms - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Clinical epigenetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hentschel, Anouk E</au><au>Beijert, Irene J</au><au>Bosschieter, Judith</au><au>Kauer, Paul C</au><au>Vis, André N</au><au>Lissenberg-Witte, Birgit I</au><au>van Moorselaar, R Jeroen A</au><au>Steenbergen, Renske D M</au><au>Nieuwenhuijzen, Jakko A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bladder cancer detection in urine using DNA methylation markers: a technical and prospective preclinical validation</atitle><jtitle>Clinical epigenetics</jtitle><addtitle>Clin Epigenetics</addtitle><date>2022-02-05</date><risdate>2022</risdate><volume>14</volume><issue>1</issue><spage>19</spage><epage>19</epage><pages>19-19</pages><artnum>19</artnum><issn>1868-7075</issn><issn>1868-7083</issn><eissn>1868-7083</eissn><eissn>1868-7075</eissn><abstract>The development of accurate urinary biomarkers for non-invasive and cost-effective detection of primary and recurrent bladder tumours is recognized as one of the major clinical needs in bladder cancer diagnostics. The purposes of this study were (1) to validate the results of a previous technical comparison by determining the diagnostic performance of nine methylation markers in urine pellet compared to full void urine, and (2) to validate the diagnostic performance of the optimal marker panel GHSR/MAL from a previous exploratory study in a preclinical setting.
Urine samples of 108 patients with bladder cancer and 100 age- and gender-matched controls were prospectively collected for methylation analysis. Urinary methylation levels of the markers FAM19A4, GHSR, MAL, miR-129, miR-935, PHACTR3, PRDM14, SST and ZIC1 were determined with quantitative methylation-specific PCR in urine pellet. Area under the curves (AUCs) were determined for individual markers and the marker panel GHSR/MAL. The diagnostic performance of the marker panel GHSR/MAL was evaluated in the total study population and in different subgroups of patients with bladder cancer using the Chi-square test. The diagnostic accuracy was assessed by leave-one-out cross-validation.
All nine urinary methylation markers (FAM19A4, GHSR, MAL, miR-129, miR-935, PHACTR3, PRDM14, SST and ZIC1) showed significantly higher methylation levels in bladder cancer patients than in controls (p < 0.001). Area under the curves (AUCs) of the nine methylation markers tested in urine pellet were similar to AUCs in full void urine of an independent previous cohort. GHSR/MAL reached an AUC of 0.89 (95% confidence interval [CI] 0.84-0.94), at 80% sensitivity and 93% specificity. Sensitivity of GHSR/MAL increased with higher tumour grades, higher tumour stages, in primary vs. recurrent tumours, and in males vs. females.
This technical validation supports the robustness of DNA methylation analysis in urine pellet and full void urine for the non-invasive detection of bladder cancer. Subsequent preclinical validation confirmed the diagnostic potential of GHSR/MAL. These findings underline the diagnostic potential of the marker panel GHSR/MAL for future bladder cancer diagnostics.</abstract><cop>Germany</cop><pub>BioMed Central Ltd</pub><pmid>35123558</pmid><doi>10.1186/s13148-022-01240-8</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-6397-0301</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Area Under Curve Biomarkers Biomarkers - analysis Biomarkers - urine Bladder cancer Cancer Cellular biology Comparative analysis Deoxyribonucleic acid Diagnosis DNA DNA methylation DNA Methylation - genetics Early Detection of Cancer - methods Early Detection of Cancer - statistics & numerical data Female Gender Genetic aspects Genetic research Hematuria Humans Male Methylation Middle Aged Netherlands - epidemiology Oncology, Experimental Patients Population studies Prospective Studies ROC Curve Sample size Sensitivity and Specificity Software Tumors Urinary Bladder Neoplasms - diagnosis Urinary Bladder Neoplasms - epidemiology Urinary Bladder Neoplasms - urine Urine |
title | Bladder cancer detection in urine using DNA methylation markers: a technical and prospective preclinical validation |
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