Pediatric Blood & Cancer · 2005 · 69 citations · 39 references
MedicineMolecular BiologyOncologyGene ExpressionMolecular OncologyTumor ProgressionCancer ProgressionCancer TranscriptomicsGrowth Factor SignalingMolecular Tumor ProfilingOncogenic Signaling PathwaysPediatric SarcomasAutocrine Growth SignalingGene Expression SignaturesGrowth Factor Autocrine SignalingGrowth FactorsMyogenic MechanismPediatric Sarcoma BiologyRhabdomyosarcoma BiologyTissue Expression Profiles
BACKGROUND: Unresectable or metastatic disease represents the greatest obstacle to cure for children with rhabdomyosarcoma. In this study we sought to identify gene expression signatures of advanced stage and progressive disease. PROCEDURE: Using oligonucleotide gene expression analysis for a focused set of 60 genes, we analyzed the myogenic expression profiles of 89 rhabdomyosarcomas from the Intergroup Rhabdomyosarcoma Study-IV. RESULTS: While the expression profile of rhabdomyosarcomas closely paralleled gene expression profiles of normal embryonic myogenic progenitors, growth factors were most closely associated with disease progression. Specifically, we identified platelet-derived growth factor (PDGF) receptors and insulin-like growth factor as strongly correlated with decreased failure-free survival. Real-time reverse transcriptase polymerase chain reaction (RT-PCR) of an independent data set suggested that autocrine growth signaling, if present, is not regulated in a simple manner at the transcriptional level. CONCLUSIONS: Increased transcriptional levels of PDGF receptors and insulin-like growth factor are associated with decreased survival in rhabdomyosarcomas. Dual blockade of these growth-factor-signaling pathways may be a valuable strategy in preclinical therapeutic studies.
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The Third Intergroup Rhabdomyosarcoma Study.
W M Crist, E. A. Gehan, A H Ragab et al. · Journal of Clinical Oncology · 1995 · 1K citations
Constantine S. Mitsiades, Nicholas Mitsiades, Ciaran J. McMullan et al. · Cancer Cell · 2004 · 611 citations
Medicine, Hematology, Oncology +17