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Methyl-CpG-binding domain sequencing reveals a prognostic methylation signature in neuroblastoma.

Identifieur interne : 002449 ( PubMed/Curation ); précédent : 002448; suivant : 002450

Methyl-CpG-binding domain sequencing reveals a prognostic methylation signature in neuroblastoma.

Auteurs : Anneleen Decock [Belgique] ; Maté Ongenaert [Belgique] ; Robrecht Cannoodt [Belgique] ; Kimberly Verniers [Belgique] ; Bram De Wilde [Belgique] ; Geneviève Laureys [Belgique] ; Nadine Van Roy [Belgique] ; Ana P. Berbegall [Espagne] ; Julie Bienertova-Vasku [République tchèque] ; Nick Bown [Royaume-Uni] ; Nathalie Clément [France] ; Valérie Combaret [France] ; Michelle Haber [Australie] ; Claire Hoyoux [Belgique] ; Jayne Murray [Australie] ; Rosa Noguera [Espagne] ; Gaelle Pierron [France] ; Gudrun Schleiermacher [France] ; Johannes H. Schulte [Allemagne] ; Ray L. Stallings [Irlande (pays)] ; Deborah A. Tweddle [Royaume-Uni] ; Katleen De Preter [Belgique] ; Frank Speleman [Belgique] ; Jo Vandesompele [Belgique]

Source :

RBID : pubmed:26646589

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English descriptors

Abstract

Accurate assessment of neuroblastoma outcome prediction remains challenging. Therefore, this study aims at establishing novel prognostic tumor DNA methylation biomarkers. In total, 396 low- and high-risk primary tumors were analyzed, of which 87 were profiled using methyl-CpG-binding domain (MBD) sequencing for differential methylation analysis between prognostic patient groups. Subsequently, methylation-specific PCR (MSP) assays were developed for 78 top-ranking differentially methylated regions and tested on two independent cohorts of 132 and 177 samples, respectively. Further, a new statistical framework was used to identify a robust set of MSP assays of which the methylation score (i.e. the percentage of methylated assays) allows accurate outcome prediction. Survival analyses were performed on the individual target level, as well as on the combined multimarker signature. As a result of the differential DNA methylation assessment by MBD sequencing, 58 of the 78 MSP assays were designed in regions previously unexplored in neuroblastoma, and 36 are located in non-promoter or non-coding regions. In total, 5 individual MSP assays (located in CCDC177, NXPH1, lnc-MRPL3-2, lnc-TREX1-1 and one on a region from chromosome 8 with no further annotation) predict event-free survival and 4 additional assays (located in SPRED3, TNFAIP2, NPM2 and CYYR1) also predict overall survival. Furthermore, a robust 58-marker methylation signature predicting overall and event-free survival was established. In conclusion, this study encompasses the largest DNA methylation biomarker study in neuroblastoma so far. We identified and independently validated several novel prognostic biomarkers, as well as a prognostic 58-marker methylation signature.

DOI: 10.18632/oncotarget.6477
PubMed: 26646589

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pubmed:26646589

Le document en format XML

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<name sortKey="Decock, Anneleen" sort="Decock, Anneleen" uniqKey="Decock A" first="Anneleen" last="Decock">Anneleen Decock</name>
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<name sortKey="Bienertova Vasku, Julie" sort="Bienertova Vasku, Julie" uniqKey="Bienertova Vasku J" first="Julie" last="Bienertova-Vasku">Julie Bienertova-Vasku</name>
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<wicri:regionArea>Department of Pathological Physiology, Department of Pediatric Oncology, Masaryk University, Černopolní, Brno</wicri:regionArea>
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<name sortKey="Bown, Nick" sort="Bown, Nick" uniqKey="Bown N" first="Nick" last="Bown">Nick Bown</name>
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<name sortKey="Clement, Nathalie" sort="Clement, Nathalie" uniqKey="Clement N" first="Nathalie" last="Clément">Nathalie Clément</name>
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<name sortKey="Combaret, Valerie" sort="Combaret, Valerie" uniqKey="Combaret V" first="Valérie" last="Combaret">Valérie Combaret</name>
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<name sortKey="Haber, Michelle" sort="Haber, Michelle" uniqKey="Haber M" first="Michelle" last="Haber">Michelle Haber</name>
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<name sortKey="Noguera, Rosa" sort="Noguera, Rosa" uniqKey="Noguera R" first="Rosa" last="Noguera">Rosa Noguera</name>
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<nlm:affiliation>Department of Pathology, Medical School, University of Valencia, and Health Research Institute INCLIVA, Blasco Ibañez, Valencia, Spain.</nlm:affiliation>
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>Department of Pathology, Medical School, University of Valencia, and Health Research Institute INCLIVA, Blasco Ibañez, Valencia</wicri:regionArea>
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<name sortKey="Pierron, Gaelle" sort="Pierron, Gaelle" uniqKey="Pierron G" first="Gaelle" last="Pierron">Gaelle Pierron</name>
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<name sortKey="Schleiermacher, Gudrun" sort="Schleiermacher, Gudrun" uniqKey="Schleiermacher G" first="Gudrun" last="Schleiermacher">Gudrun Schleiermacher</name>
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<nlm:affiliation>U830 INSERM, Recherche Translationelle en Oncologie Pédiatrique (RTOP) and Department of Pediatric Oncology, Institut Curie, rue d'Ulm, Paris, France.</nlm:affiliation>
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<name sortKey="Schulte, Johannes H" sort="Schulte, Johannes H" uniqKey="Schulte J" first="Johannes H" last="Schulte">Johannes H. Schulte</name>
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<nlm:affiliation>Department of Pediatric Oncology and Hematology, University Children's Hospital Essen, Hufelandstraße, Essen, Germany.</nlm:affiliation>
<country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Department of Pediatric Oncology and Hematology, University Children's Hospital Essen, Hufelandstraße, Essen</wicri:regionArea>
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<name sortKey="Stallings, Ray L" sort="Stallings, Ray L" uniqKey="Stallings R" first="Ray L" last="Stallings">Ray L. Stallings</name>
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<nlm:affiliation>National Children's Research Centre, Our Lady's Children's Hospital, Crumlin, Dublin, Ireland.</nlm:affiliation>
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<name sortKey="Tweddle, Deborah A" sort="Tweddle, Deborah A" uniqKey="Tweddle D" first="Deborah A" last="Tweddle">Deborah A. Tweddle</name>
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<name sortKey="De Preter, Katleen" sort="De Preter, Katleen" uniqKey="De Preter K" first="Katleen" last="De Preter">Katleen De Preter</name>
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<name sortKey="Speleman, Frank" sort="Speleman, Frank" uniqKey="Speleman F" first="Frank" last="Speleman">Frank Speleman</name>
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<name sortKey="Vandesompele, Jo" sort="Vandesompele, Jo" uniqKey="Vandesompele J" first="Jo" last="Vandesompele">Jo Vandesompele</name>
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<title xml:lang="en">Methyl-CpG-binding domain sequencing reveals a prognostic methylation signature in neuroblastoma.</title>
<author>
<name sortKey="Decock, Anneleen" sort="Decock, Anneleen" uniqKey="Decock A" first="Anneleen" last="Decock">Anneleen Decock</name>
<affiliation wicri:level="1">
<nlm:affiliation>Center for Medical Genetics, Ghent University, De Pintelaan, Ghent, Belgium.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Center for Medical Genetics, Ghent University, De Pintelaan, Ghent</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Ongenaert, Mate" sort="Ongenaert, Mate" uniqKey="Ongenaert M" first="Maté" last="Ongenaert">Maté Ongenaert</name>
<affiliation wicri:level="1">
<nlm:affiliation>Center for Medical Genetics, Ghent University, De Pintelaan, Ghent, Belgium.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Center for Medical Genetics, Ghent University, De Pintelaan, Ghent</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Cannoodt, Robrecht" sort="Cannoodt, Robrecht" uniqKey="Cannoodt R" first="Robrecht" last="Cannoodt">Robrecht Cannoodt</name>
<affiliation wicri:level="1">
<nlm:affiliation>Center for Medical Genetics, Ghent University, De Pintelaan, Ghent, Belgium.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Center for Medical Genetics, Ghent University, De Pintelaan, Ghent</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Verniers, Kimberly" sort="Verniers, Kimberly" uniqKey="Verniers K" first="Kimberly" last="Verniers">Kimberly Verniers</name>
<affiliation wicri:level="1">
<nlm:affiliation>Center for Medical Genetics, Ghent University, De Pintelaan, Ghent, Belgium.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Center for Medical Genetics, Ghent University, De Pintelaan, Ghent</wicri:regionArea>
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<name sortKey="De Wilde, Bram" sort="De Wilde, Bram" uniqKey="De Wilde B" first="Bram" last="De Wilde">Bram De Wilde</name>
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<nlm:affiliation>Center for Medical Genetics, Ghent University, De Pintelaan, Ghent, Belgium.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Center for Medical Genetics, Ghent University, De Pintelaan, Ghent</wicri:regionArea>
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<author>
<name sortKey="Laureys, Genevieve" sort="Laureys, Genevieve" uniqKey="Laureys G" first="Geneviève" last="Laureys">Geneviève Laureys</name>
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<nlm:affiliation>Department of Pediatric Hematology and Oncology, Ghent University Hospital, De Pintelaan, Ghent, Belgium.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Department of Pediatric Hematology and Oncology, Ghent University Hospital, De Pintelaan, Ghent</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Van Roy, Nadine" sort="Van Roy, Nadine" uniqKey="Van Roy N" first="Nadine" last="Van Roy">Nadine Van Roy</name>
<affiliation wicri:level="1">
<nlm:affiliation>Center for Medical Genetics, Ghent University, De Pintelaan, Ghent, Belgium.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Center for Medical Genetics, Ghent University, De Pintelaan, Ghent</wicri:regionArea>
</affiliation>
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<name sortKey="Berbegall, Ana P" sort="Berbegall, Ana P" uniqKey="Berbegall A" first="Ana P" last="Berbegall">Ana P. Berbegall</name>
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<nlm:affiliation>Department of Pathology, Medical School, University of Valencia, and Health Research Institute INCLIVA, Blasco Ibañez, Valencia, Spain.</nlm:affiliation>
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>Department of Pathology, Medical School, University of Valencia, and Health Research Institute INCLIVA, Blasco Ibañez, Valencia</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Bienertova Vasku, Julie" sort="Bienertova Vasku, Julie" uniqKey="Bienertova Vasku J" first="Julie" last="Bienertova-Vasku">Julie Bienertova-Vasku</name>
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<nlm:affiliation>Department of Pathological Physiology, Department of Pediatric Oncology, Masaryk University, Černopolní, Brno, Czech Republic.</nlm:affiliation>
<country xml:lang="fr">République tchèque</country>
<wicri:regionArea>Department of Pathological Physiology, Department of Pediatric Oncology, Masaryk University, Černopolní, Brno</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Bown, Nick" sort="Bown, Nick" uniqKey="Bown N" first="Nick" last="Bown">Nick Bown</name>
<affiliation wicri:level="1">
<nlm:affiliation>Northern Genetics Service, Institute of Genetic Medicine, Central Parkway, Newcastle upon Tyne, United Kingdom.</nlm:affiliation>
<country xml:lang="fr">Royaume-Uni</country>
<wicri:regionArea>Northern Genetics Service, Institute of Genetic Medicine, Central Parkway, Newcastle upon Tyne</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Clement, Nathalie" sort="Clement, Nathalie" uniqKey="Clement N" first="Nathalie" last="Clément">Nathalie Clément</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Pediatric Oncology, Institut Curie, rue d'Ulm, Paris, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Department of Pediatric Oncology, Institut Curie, rue d'Ulm, Paris</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Combaret, Valerie" sort="Combaret, Valerie" uniqKey="Combaret V" first="Valérie" last="Combaret">Valérie Combaret</name>
<affiliation wicri:level="1">
<nlm:affiliation>Centre Léon Bérard, Laboratoire de Recherche Translationnelle, rue Laennec, Lyon, France.</nlm:affiliation>
<country xml:lang="fr">France</country>
<wicri:regionArea>Centre Léon Bérard, Laboratoire de Recherche Translationnelle, rue Laennec, Lyon</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Haber, Michelle" sort="Haber, Michelle" uniqKey="Haber M" first="Michelle" last="Haber">Michelle Haber</name>
<affiliation wicri:level="1">
<nlm:affiliation>Children's Cancer Institute, Lowy Cancer Research Centre, UNSW, Randwick NSW, Australia.</nlm:affiliation>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>Children's Cancer Institute, Lowy Cancer Research Centre, UNSW, Randwick NSW</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Hoyoux, Claire" sort="Hoyoux, Claire" uniqKey="Hoyoux C" first="Claire" last="Hoyoux">Claire Hoyoux</name>
<affiliation wicri:level="1">
<nlm:affiliation>Pediatric Hemato-oncology, CHR Citadelle, Liège, Belgium.</nlm:affiliation>
<country xml:lang="fr">Belgique</country>
<wicri:regionArea>Pediatric Hemato-oncology, CHR Citadelle, Liège</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Murray, Jayne" sort="Murray, Jayne" uniqKey="Murray J" first="Jayne" last="Murray">Jayne Murray</name>
<affiliation wicri:level="1">
<nlm:affiliation>Children's Cancer Institute, Lowy Cancer Research Centre, UNSW, Randwick NSW, Australia.</nlm:affiliation>
<country xml:lang="fr">Australie</country>
<wicri:regionArea>Children's Cancer Institute, Lowy Cancer Research Centre, UNSW, Randwick NSW</wicri:regionArea>
</affiliation>
</author>
<author>
<name sortKey="Noguera, Rosa" sort="Noguera, Rosa" uniqKey="Noguera R" first="Rosa" last="Noguera">Rosa Noguera</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Pathology, Medical School, University of Valencia, and Health Research Institute INCLIVA, Blasco Ibañez, Valencia, Spain.</nlm:affiliation>
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>Department of Pathology, Medical School, University of Valencia, and Health Research Institute INCLIVA, Blasco Ibañez, Valencia</wicri:regionArea>
</affiliation>
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<term>Binding Sites</term>
<term>Biomarkers (analysis)</term>
<term>Cohort Studies</term>
<term>Computational Biology</term>
<term>CpG Islands (genetics)</term>
<term>DNA Methylation</term>
<term>DNA, Neoplasm (genetics)</term>
<term>Female</term>
<term>Humans</term>
<term>Infant</term>
<term>Male</term>
<term>Neoplasm Staging</term>
<term>Neuroblastoma (diagnosis)</term>
<term>Neuroblastoma (genetics)</term>
<term>Prognosis</term>
<term>Real-Time Polymerase Chain Reaction</term>
<term>Tumor Cells, Cultured</term>
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<term>ADN tumoral (génétique)</term>
<term>Biologie informatique</term>
<term>Cellules cancéreuses en culture</term>
<term>Femelle</term>
<term>Humains</term>
<term>Ilots CpG (génétique)</term>
<term>Marqueurs biologiques (analyse)</term>
<term>Mâle</term>
<term>Méthylation de l'ADN</term>
<term>Neuroblastome (diagnostic)</term>
<term>Neuroblastome (génétique)</term>
<term>Nourrisson</term>
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<term>Réaction de polymérisation en chaine en temps réel</term>
<term>Sites de fixation</term>
<term>Stade de la tumeur</term>
<term>Études de cohortes</term>
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<term>Marqueurs biologiques</term>
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<term>Neuroblastoma</term>
</keywords>
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<term>Neuroblastome</term>
</keywords>
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<term>CpG Islands</term>
<term>DNA, Neoplasm</term>
<term>Neuroblastoma</term>
</keywords>
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<term>ADN tumoral</term>
<term>Ilots CpG</term>
<term>Neuroblastome</term>
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<term>Binding Sites</term>
<term>Cohort Studies</term>
<term>Computational Biology</term>
<term>DNA Methylation</term>
<term>Female</term>
<term>Humans</term>
<term>Infant</term>
<term>Male</term>
<term>Neoplasm Staging</term>
<term>Prognosis</term>
<term>Real-Time Polymerase Chain Reaction</term>
<term>Tumor Cells, Cultured</term>
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<term>Biologie informatique</term>
<term>Cellules cancéreuses en culture</term>
<term>Femelle</term>
<term>Humains</term>
<term>Mâle</term>
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<term>Pronostic</term>
<term>Réaction de polymérisation en chaine en temps réel</term>
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<div type="abstract" xml:lang="en">Accurate assessment of neuroblastoma outcome prediction remains challenging. Therefore, this study aims at establishing novel prognostic tumor DNA methylation biomarkers. In total, 396 low- and high-risk primary tumors were analyzed, of which 87 were profiled using methyl-CpG-binding domain (MBD) sequencing for differential methylation analysis between prognostic patient groups. Subsequently, methylation-specific PCR (MSP) assays were developed for 78 top-ranking differentially methylated regions and tested on two independent cohorts of 132 and 177 samples, respectively. Further, a new statistical framework was used to identify a robust set of MSP assays of which the methylation score (i.e. the percentage of methylated assays) allows accurate outcome prediction. Survival analyses were performed on the individual target level, as well as on the combined multimarker signature. As a result of the differential DNA methylation assessment by MBD sequencing, 58 of the 78 MSP assays were designed in regions previously unexplored in neuroblastoma, and 36 are located in non-promoter or non-coding regions. In total, 5 individual MSP assays (located in CCDC177, NXPH1, lnc-MRPL3-2, lnc-TREX1-1 and one on a region from chromosome 8 with no further annotation) predict event-free survival and 4 additional assays (located in SPRED3, TNFAIP2, NPM2 and CYYR1) also predict overall survival. Furthermore, a robust 58-marker methylation signature predicting overall and event-free survival was established. In conclusion, this study encompasses the largest DNA methylation biomarker study in neuroblastoma so far. We identified and independently validated several novel prognostic biomarkers, as well as a prognostic 58-marker methylation signature.</div>
</front>
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<Month>02</Month>
<Day>16</Day>
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<Year>2016</Year>
<Month>12</Month>
<Day>13</Day>
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<Year>2017</Year>
<Month>02</Month>
<Day>20</Day>
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<ISSN IssnType="Electronic">1949-2553</ISSN>
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<Volume>7</Volume>
<Issue>2</Issue>
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<Month>Jan</Month>
<Day>12</Day>
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<ArticleTitle>Methyl-CpG-binding domain sequencing reveals a prognostic methylation signature in neuroblastoma.</ArticleTitle>
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<AbstractText>Accurate assessment of neuroblastoma outcome prediction remains challenging. Therefore, this study aims at establishing novel prognostic tumor DNA methylation biomarkers. In total, 396 low- and high-risk primary tumors were analyzed, of which 87 were profiled using methyl-CpG-binding domain (MBD) sequencing for differential methylation analysis between prognostic patient groups. Subsequently, methylation-specific PCR (MSP) assays were developed for 78 top-ranking differentially methylated regions and tested on two independent cohorts of 132 and 177 samples, respectively. Further, a new statistical framework was used to identify a robust set of MSP assays of which the methylation score (i.e. the percentage of methylated assays) allows accurate outcome prediction. Survival analyses were performed on the individual target level, as well as on the combined multimarker signature. As a result of the differential DNA methylation assessment by MBD sequencing, 58 of the 78 MSP assays were designed in regions previously unexplored in neuroblastoma, and 36 are located in non-promoter or non-coding regions. In total, 5 individual MSP assays (located in CCDC177, NXPH1, lnc-MRPL3-2, lnc-TREX1-1 and one on a region from chromosome 8 with no further annotation) predict event-free survival and 4 additional assays (located in SPRED3, TNFAIP2, NPM2 and CYYR1) also predict overall survival. Furthermore, a robust 58-marker methylation signature predicting overall and event-free survival was established. In conclusion, this study encompasses the largest DNA methylation biomarker study in neuroblastoma so far. We identified and independently validated several novel prognostic biomarkers, as well as a prognostic 58-marker methylation signature.</AbstractText>
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