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. (Blood. 2009;114:e20-e26) IntroductionMultiple myeloma (MM) is a malignant proliferation of bone marrow (BM) plasma cells (PCs), characterized by a profound genomic instability involving both numerical and structural chromosomal aberrations of potential prognostic relevance. 1 Nearly half of MM tumors are hyperdiploid (HD) with multiple trisomies of nonrandom odd-numbered chromosomes and a low prevalence of chromosomal translocations involving the immunoglobulin heavy chain (IGH) locus at 14q32 and chromosome 13 deletion 1 ; the others are nonhyperdiploid (NHD) tumors often showing chromosome 13 deletion, 1q gain, and IGH translocations, 2 with the most frequent partners being 11q13, 4p16, 16q23, 20q11, and 6p21. The deregulation of at least one of the cyclin D genes is observed in almost all MM cases and, in combination with recurrent IGH translocations, has been proposed for a molecular classification of MM called translocation/cyclin (TC) classification. 3,4 The occurrence of specific transcriptional patterns associated with the molecular subgroups and major genetic lesions of MM has been extensively described in several studies by us and others. [2][3][4][5][6][7][8][9][10] miRNAs are endogenous approximately 22 nt RNAs that play important regulatory roles in animals and plants by targeting mRNAs for cleavage or translational repression. 11 It has been suggested that chromosomal abnormalities and other types of genetic or epigenetic alterations might contribute to miRNA deregulation in cancer. 12,13 There are still few published data concerning miRNA expression in MM. Loffler et al have shown t...

Key Points• Myeloma cells produce ammonium in the presence of glutamine, showing high glutaminase and low glutamine synthetase expression.• Myeloma cells show high expression of glutamine transporters and inhibition of ASCT2 transporter hinders myeloma growth.The importance of glutamine (Gln) metabolism in multiple myeloma (MM) cells and its potential role as a therapeutic target are still unknown, although it has been reported that human myeloma cell lines (HMCLs) are highly sensitive to Gln depletion. In this study, we found that both HMCLs and primary bone marrow (BM) CD138 1 cells produced large amounts of ammonium in the presence of Gln. MM patients have lower BM plasma Gln with higher ammonium and glutamate than patients with indolent monoclonal gammopathies. Interestingly, HMCLs expressed glutaminase (GLS1) and were sensitive to its inhibition, whereas they exhibited negligible expression of glutamine synthetase (GS). High GLS1 and low GS expression were also observed in primary CD138 1 cells. Gln-free incubation or treatment with the glutaminolytic enzyme L-asparaginase depleted the cell contents of Gln, glutamate, and the anaplerotic substrate 2-oxoglutarate, inhibiting MM cell growth. Consistent with the dependence of MM cells on extracellular Gln, a gene expression profile analysis, on both proprietary and published datasets, showed an increased expression of the Gln transporters SNAT1, ASCT2, and LAT1 by CD138 1 cells across the progression of monoclonal gammopathies. Among these transporters, only ASCT2 inhibition in HMCLs caused a marked decrease in Gln uptake and a significant fall in cell growth. Consistently, stable ASCT2 downregulation by a lentiviral approach inhibited HMCL growth in vitro and in a murine model. In conclusion, MM cells strictly depend on extracellular Gln and show features of Gln addiction. Therefore, the inhibition of Gln uptake is a new attractive therapeutic strategy for MM. (Blood. 2016;128(5):667-679)

We proved that experimentally controlled GEP in ALCL cell lines represents a powerful tool to identify meaningful signaling networks for the recognition of systemic primary T-NHL. The identification of a molecular signature specific for ALCL suggests that these T-NHLs may represent a unique entity discernible from other PTCLs, and that a restricted number of genes can be instrumental for clinical stratification and, possibly, therapy of T-NHL.

Multiple myeloma (MM) is characterized by marked genomic heterogeneity. Beyond structural rearrangements, a relevant role in its biology is represented by allelic imbalances leading to significant variations in ploidy status. To elucidate better the genomic complexity of MM, we analyzed a panel of 45 patients using combined FISH and microarray approaches. We firstly generated genome-wide profiles of 41 MMs and four plasma cell leukemias, using a self-developed procedure to infer exact local copy numbers (CNs) for each sample. Our analysis allowed the identification of a significant fraction of patients showing near-tetraploidy. Furthermore, a conventional hierarchical clustering analysis showed that near-tetraploidy, 1q gain, hyperdiploidy, and recursive deletions at 1p and chromosomes 13, 14, and 22 were the main aberrations driving samples grouping. Moreover, mapping information was integrated with gene expression profiles of the tumor samples. A multiclass analysis of transcriptional profiles characterizing the different clusters showed marked gene-dosage effects, particularly concerning 1q transcripts; this finding was also confirmed by a nonparametric analysis between normalized gene expression levels and local CN variations (1027 highly-significant correlated genes). Finally, we identified several loci in which gene expression correlated with the occurrence of loss of heterozygosity. Our results provide insights into the composite network linking genome structure and transcriptional features in MM.