| Experiment ID | EXP00088 |
| Reference | Title: Identification of microRNA expression patterns and definition of a microRNA/mRNA regulatory network in distinct molecular groups of multiple myeloma. Author: Lionetti M, Biasiolo M, Agnelli L, Todoerti K, Mosca L, Fabris S, Sales G,Deliliers GL, Bicciato S, Lombardi L, Bortoluzzi S, Neri A. Journal: Blood. 2009 Dec 10;114(25):e20-6. doi: 10.1182/blood-2009-08-237495. Abstract: To date, little evidence of miRNA expression/deregulation in multiple myeloma hasbeen reported. To characterize miRNA in the context of the major multiple myelomamolecular types, we generated miRNA expression profiles of highly purifiedmalignant plasma cells from 40 primary tumors. Furthermore, transcriptionalprofiles, available for all patients, were used to investigate the occurrence of miRNA/predicted target mRNA pair anticorrelations, and the miRNA and genome-wide DNA data were integrated in a subset of patients to evaluate the influence ofallelic imbalances on miRNA expression. Differential miRNA expression patternswere identified, which were mainly associated with the major IGH translocations; particularly, t(4;14) patients showed specific overexpression of let-7e,miR-125a-5p, and miR-99b belonging to a cluster at 19q13.33. The occurrence ofother lesions (ie, 1q gain, 13q and 17p deletions, and hyperdiploidy) wasslightly characterized by specific miRNA signatures. Furthermore, the occurrence of several allelic imbalances or loss of heterozygosity was found significantlyassociated with the altered expression of miRNAs located in the involved regions,such as let-7b at 22q13.31 or miR-140-3p at 16q22. Finally, the integrativeanalysis based on computational target prediction and miRNA/mRNA profilingdefined a network of putative functional miRNA-target regulatory relationssupported by expression data. PMID: 19846888 |
| Expressiion Profile | Description: Identification of MicroRNA Expression Patterns and a MicroRNAs/mRNA Regulatory Network in Multiple Myeloma Organism: Homo sapiens GEO ID: GSE17498 Platform: GPL8227 Number of samples: 102 |
| Design and Sample | Cancer Type: lymphoma Cancer SubType: multiple myeloma Cell Line: N/D Experimental Design: high grade vs low grade Case Sample: multiple myeloma stage (durie-salmon) 3 Control Sample: multiple myeloma stage (durie-salmon) 2 Num of Case: 5 Num of Control: 20 Quantification Software: Limma Num of miRNAs: 722 |
| Identification | Num of Up: 5 Num of Down: 0 |