Identification of microRNA expression patterns and definition of a microRNA/mRNA regulatory network in distinct molecular groups of multiple myeloma

Author:

Lionetti Marta1,Biasiolo Marta2,Agnelli Luca1,Todoerti Katia1,Mosca Laura1,Fabris Sonia1,Sales Gabriele2,Deliliers Giorgio Lambertenghi1,Bicciato Silvio3,Lombardi Luigia1,Bortoluzzi Stefania2,Neri Antonino1

Affiliation:

1. Department of Medical Sciences, University of Milan, Hematology 1-Centro Trapianti Midollo Osseo, Foundation Istituto di Ricovero e Cura a Carattere Scientifico Policlinico, Milan;

2. Laboratory of Computational Biology, Department of Biology, University of Padua, Padua; and

3. Department of Biomedical Sciences, University of Modena and Reggio Emilia, Modena, Italy

Abstract

Abstract To date, little evidence of miRNA expression/deregulation in multiple myeloma has been reported. To characterize miRNA in the context of the major multiple myeloma molecular types, we generated miRNA expression profiles of highly purified malignant plasma cells from 40 primary tumors. Furthermore, transcriptional profiles, 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 of allelic imbalances on miRNA expression. Differential miRNA expression patterns were 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 of other lesions (ie, 1q gain, 13q and 17p deletions, and hyperdiploidy) was slightly characterized by specific miRNA signatures. Furthermore, the occurrence of several allelic imbalances or loss of heterozygosity was found significantly associated 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 integrative analysis based on computational target prediction and miRNA/mRNA profiling defined a network of putative functional miRNA-target regulatory relations supported by expression data.

Publisher

American Society of Hematology

Subject

Cell Biology,Hematology,Immunology,Biochemistry

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