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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Epigenetic landscape correlates with genetic subtype but does not predict outcome in childhood acute lymphoblastic leukemia

ABSTRACT: We analyzed 52 Diagnostic samples from childhood Acute lymphoblastic leukemia samples We compared methylation profiles with four ALL cytogentic subtypes using (n=26) long term remission vs. (n=26) that went on to relapse

ORGANISM(S): Homo sapiens

SUBMITTER: Alem Gabriel

PROVIDER: E-GEOD-69229 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Epigenetic landscape correlates with genetic subtype but does not predict outcome in childhood acute lymphoblastic leukemia.

Gabriel Alem S AS Lafta Fadhel M FM Schwalbe Edward C EC Nakjang Sirintra S Cockell Simon J SJ Iliasova Alice A Enshaei Amir A Schwab Claire C Rand Vikki V Clifford Steven C SC Kinsey Sally E SE Mitchell Chris D CD Vora Ajay A Harrison Christine J CJ Moorman Anthony V AV Strathdee Gordon G

Epigenetics 20150101 8

Although children with acute lymphoblastic leukemia (ALL) generally have a good outcome, some patients do relapse and survival following relapse is poor. Altered DNA methylation is highly prevalent in ALL and raises the possibility that DNA methylation-based biomarkers could predict patient outcome. In this study, genome-wide methylation analysis, using the Illumina Infinium HumanMethylation450 BeadChip platform, was carried out on 52 diagnostic patient samples from 4 genetic subtypes [ETV6-RUNX ...[more]

PMID: 26237075

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