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dc.contributor.authorScaruffi, Paola
dc.contributor.authorStigliani, Sara
dc.contributor.authorMoretti, Stefano
dc.contributor.authorCoco, Simona
dc.contributor.authorValdora, Francesca
dc.contributor.authorGaraventa, Alberto
dc.contributor.authorBonassi, Stefano
dc.contributor.authorTonini, Gian Paolo
dc.date.accessioned2010-09-13T07:49:43Z
dc.date.available2010-09-13T07:49:43Z
dc.date.issued2009
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/4730
dc.language.isoenen
dc.subjectultra-conserved regionsen
dc.subjectnon-coding RNA expressionen
dc.subjectneuroblastomaen
dc.subject.ddc616en
dc.titleTranscribed-ultra conserved region expression is associated with outcome in high-risk neuroblastomaen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenBackground: Neuroblastoma is the most common, pediatric, extra-cranial, malignant solid tumor. Despite multimodal therapeutic protocols, outcome for children with a high-risk clinical phenotype remains poor, with long-term survival still less than 40%. Hereby, we evaluated the potential of non-coding RNA expression to predict outcome in high-risk, stage 4 neuroblastoma. Methods: We analyzed expression of 481 Ultra Conserved Regions (UCRs) by reverse transcription-quantitative real-time PCR and of 723 microRNAs by microarrays in 34 high-risk, stage 4 neuroblastoma patients. Results: First, the comparison of 8 short- versus 12 long-term survivors showed that 54 UCRs were significantly (P < 0.0491) over-expressed in the former group. For 48 Ultra Conserved Region (UCRs) the expression levels above the cut-off values defined by ROC curves were strongly associated with good-outcome (OS: 0.0001 <P < 0.0185, EFS: 0.0001 <P 0.0491). Then we tested the Transcribed-UCR (T-UCR) threshold risk-prediction model on an independent cohort of 14 patients. The expression profile of 28 T-UCRs was significantly associated to prognosis and at least 15 up-regulated T-UCRs are needed to discriminate (P < 0.0001) short- from long-survivors at the highest sensitivity and specificity (94.12%). We also identified a signature of 13 microRNAs differently expressed between long- and short-surviving patients. The comparative analysis of the two classes of non-coding RNAs disclosed that 9 T-UCRs display their expression level that are inversely correlated with expression of 5 complementary microRNAs of the signature, indicating a negative regulation of T-UCRs by direct interaction with microRNAs. Moreover, 4 microRNAs down-regulated in tumors of long-survivors target 3 genes implicated in neuronal differentiation, that are known to be over-expressed in low-risk tumors. Conclusions: Our pilot study suggests that a deregulation of the microRNA/T-UCR network may play an important role in the pathogenesis of neuroblastoma. After further validation on a larger independent set of samples, such findings may be applied as the first T-UCR prognostic signature for high-risk neuroblastoma patients.en
dc.relation.isversionofjnlnameBMC Cancer
dc.relation.isversionofjnlvol9en
dc.relation.isversionofjnlissue441en
dc.relation.isversionofjnldate2009
dc.relation.isversionofdoihttp://dx.doi.org/10.1186/1471-2407-9-441en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherBioMed Centralen
dc.subject.ddclabelMaladiesen


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