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Small nucleolar RNAs as new biomarkers in chronic lymphocytic leukemia

BACKGROUND: Small nucleolar RNAs (snoRNAs) and small Cajal body-specific RNAs are non-coding RNAs involved in the maturation of other RNA molecules. Alterations of sno/scaRNA expression may play a role in cancerogenesis. This study elucidates the patterns of sno/scaRNA expression in 211 chronic lymp...

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Detalles Bibliográficos
Autores principales: Ronchetti, Domenica, Mosca, Laura, Cutrona, Giovanna, Tuana, Giacomo, Gentile, Massimo, Fabris, Sonia, Agnelli, Luca, Ciceri, Gabriella, Matis, Serena, Massucco, Carlotta, Colombo, Monica, Reverberi, Daniele, Recchia, Anna Grazia, Bossio, Sabrina, Negrini, Massimo, Tassone, Pierfrancesco, Morabito, Fortunato, Ferrarini, Manlio, Neri, Antonino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3766210/
https://www.ncbi.nlm.nih.gov/pubmed/24004562
http://dx.doi.org/10.1186/1755-8794-6-27
Descripción
Sumario:BACKGROUND: Small nucleolar RNAs (snoRNAs) and small Cajal body-specific RNAs are non-coding RNAs involved in the maturation of other RNA molecules. Alterations of sno/scaRNA expression may play a role in cancerogenesis. This study elucidates the patterns of sno/scaRNA expression in 211 chronic lymphocytic leukemia (CLL) patients (Binet stage A) also in comparison with those of different normal B-cell subsets. METHODS: The patterns of sno/scaRNA expression in highly purified CD19(+) B-cells of 211 CLL patients and in 18 normal B-cell samples - 6 from peripheral blood, and 12 from tonsils (4 germinal center, 2 marginal zone, 3 switched memory and 3 naïve B-cells) - were analyzed on the Affymetrix GeneChip® Human Gene 1.0 ST array. RESULTS: CLLs display a sno/scaRNAs expression profile similar to normal memory, naïve and marginal-zone B-cells, with the exception of a few down-regulated transcripts (SNORA31, -6, -62, and -71C). Our analyses also suggest some heterogeneity in the pattern of sno/scaRNAs expression which is apparently unrelated to the major biological (ZAP-70 and CD38), molecular (IGHV mutation) and cytogenetic markers. Moreover, we found that SNORA70F was significantly down-regulated in poor prognostic subgroups and this phenomenon was associated with the down-regulation of its host gene COBLL1. Finally, we generated an independent model based on SNORA74A and SNORD116-18 expression, which appears to distinguish two different prognostic CLL groups. CONCLUSIONS: These data extend the view of sno/scaRNAs deregulation in cancer and may contribute to discover novel biomarkers associated with the disease and potentially useful to predict the clinical outcome of early stage CLL patients.