This HTML5 document contains 64 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n17http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n14http://linked.opendata.cz/resource/domain/vavai/subjekt/
n10http://linked.opendata.cz/ontology/domain/vavai/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
rdfshttp://www.w3.org/2000/01/rdf-schema#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n13http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00064203%3A_____%2F11%3A7276%21RIV12-MZ0-00064203/
n6http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n15http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n12http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n18http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n9http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n11http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00064203%3A_____%2F11%3A7276%21RIV12-MZ0-00064203
rdf:type
n10:Vysledek skos:Concept
rdfs:seeAlso
http://www.ncbi.nlm.nih.gov/pubmed/21406719
dcterms:description
Aberrant DNA methylation contributes to the malignant phenotype in virtually all types of cancer, including myeloid leukemia. We hypothesized that CpG island hypermethylation also occurs in juvenile myelomonocytic leukemia (JMML) and investigated whether it is associated with clinical, hematologic, or prognostic features. Based on quantitative measurements of DNA methylation in 127 JMML cases using mass spectrometry (MassARRAY), we identified 4 gene CpG islands with frequent hypermethylation: BMP4 (36% of patients), CALCA (54%), CDKN2B (22%), and RARB (13%). Hypermethylation was significantly associated with poor prognosis: when the methylation data were transformed into prognostic scores using a LASSO Cox regression model, the 5-year overall survival was 0.41 for patients in the top tertile of scores versus 0.72 in the lowest score tertile (P = .002). Among patients given allogeneic hematopoietic stem cell transplantation, the 5-year cumulative incidence of relapse was 0.52 in the highest versus 0.10 in the lowest score tertile (P = .007). In multivariate models, DNA methylation retained prognostic value independently of other clinical risk factors. Longitudinal analyses indicated that some cases acquired a more extensively methylated phenotype at relapse. In conclusion, our data suggest that a high-methylation phenotype characterizes an aggressive biologic variant of JMML and is an important molecular predictor of outcome. Aberrant DNA methylation contributes to the malignant phenotype in virtually all types of cancer, including myeloid leukemia. We hypothesized that CpG island hypermethylation also occurs in juvenile myelomonocytic leukemia (JMML) and investigated whether it is associated with clinical, hematologic, or prognostic features. Based on quantitative measurements of DNA methylation in 127 JMML cases using mass spectrometry (MassARRAY), we identified 4 gene CpG islands with frequent hypermethylation: BMP4 (36% of patients), CALCA (54%), CDKN2B (22%), and RARB (13%). Hypermethylation was significantly associated with poor prognosis: when the methylation data were transformed into prognostic scores using a LASSO Cox regression model, the 5-year overall survival was 0.41 for patients in the top tertile of scores versus 0.72 in the lowest score tertile (P = .002). Among patients given allogeneic hematopoietic stem cell transplantation, the 5-year cumulative incidence of relapse was 0.52 in the highest versus 0.10 in the lowest score tertile (P = .007). In multivariate models, DNA methylation retained prognostic value independently of other clinical risk factors. Longitudinal analyses indicated that some cases acquired a more extensively methylated phenotype at relapse. In conclusion, our data suggest that a high-methylation phenotype characterizes an aggressive biologic variant of JMML and is an important molecular predictor of outcome.
dcterms:title
Aberrant DNA methylation characterizes juvenile myelomonocytic leukemia with poor outcome Aberrant DNA methylation characterizes juvenile myelomonocytic leukemia with poor outcome
skos:prefLabel
Aberrant DNA methylation characterizes juvenile myelomonocytic leukemia with poor outcome Aberrant DNA methylation characterizes juvenile myelomonocytic leukemia with poor outcome
skos:notation
RIV/00064203:_____/11:7276!RIV12-MZ0-00064203
n10:predkladatel
n14:ico%3A00064203
n3:aktivita
n12:I
n3:aktivity
I
n3:cisloPeriodika
18
n3:dodaniDat
n11:2012
n3:domaciTvurceVysledku
n17:4977939
n3:druhVysledku
n9:J
n3:duvernostUdaju
n15:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
184291
n3:idVysledku
RIV/00064203:_____/11:7276
n3:jazykVysledku
n4:eng
n3:klicovaSlova
acute myeloid-leukemia; chronic myelogenous leukemia; myelodysplastic syndrome; retrospective analysis; ras mutations; transplantation; children; survival; cancer; cells
n3:klicoveSlovo
n6:survival n6:retrospective%20analysis n6:children n6:transplantation n6:ras%20mutations n6:cancer n6:cells n6:myelodysplastic%20syndrome n6:chronic%20myelogenous%20leukemia n6:acute%20myeloid-leukemia
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[A8D5DB2382EC]
n3:nazevZdroje
Blood
n3:obor
n18:FD
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
20
n3:rokUplatneniVysledku
n11:2011
n3:svazekPeriodika
117
n3:tvurceVysledku
Strahm, B. Plass, C. Claus, R. De Moerloose, B. Nollke, P. Locatelli, F. Trebo, M. Sandrock, I. Flotho, C. Niemeyer, CM Zecca, M. Bergstraesser, E. Witte, T. Wojcik, D. Olk-Batz, C. Heuvel-Eibrink, MM Hasle, H. Starý, Jan Poetsch, AR Zucknick, M.
n3:wos
000290275700031
s:issn
0006-4971
s:numberOfPages
10