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Gene exprssion profile classification predicts clinical outcome in juvenile myelomonocytic leukemia

ABSTRACT: Gene expression analysis identified a specific signature of differentially expressed genes discriminating good and poor responders in JMML patients. Gene expression signatures were analyzed on two EWOG patient cohorts of pediatric JMML patients. Keywords: Expression data Class comparison between AML-like vs non-AML-like signatures in JMML patients.

ORGANISM(S): Homo sapiens

SUBMITTER: Andrea Zangrando

PROVIDER: E-GEOD-14858 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Gene expression-based classification as an independent predictor of clinical outcome in juvenile myelomonocytic leukemia.

Bresolin Silvia S Zecca Marco M Flotho Christian C Trentin Luca L Zangrando Andrea A Sainati Laura L Stary Jan J de Moerloose Barbara B Hasle Henrik H Niemeyer Charlotte M CM Te Kronnie Geertruy G Te Kronnie Geertruy G Locatelli Franco F Basso Giuseppe G

Journal of clinical oncology : official journal of the American Society of Clinical Oncology 20100315 11

PURPOSE Juvenile myelomonocytic leukemia (JMML) is a rare early childhood myelodysplastic/myeloproliferative disorder characterized by an aggressive clinical course. Age and hemoglobin F percentage at diagnosis have been reported to predict both survival and outcome after hematopoietic stem cell transplantation (HSCT). However, no genetic markers with prognostic relevance have been identified so far. We applied gene expression-based classification to JMML samples in order to identify prognostic ...[more]

PMID: 20231685

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Gene exprssion profile classification predicts clinical outcome in juvenile myelomonocytic leukemia

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