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  • 1
    In: Genes, Chromosomes and Cancer, Wiley, Vol. 48, No. 7 ( 2009-07), p. 603-614
    Abstract: 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. © 2009 Wiley‐Liss,Inc.
    Type of Medium: Online Resource
    ISSN: 1045-2257 , 1098-2264
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2009
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  • 2
    In: Blood, American Society of Hematology, Vol. 114, No. 25 ( 2009-12-10), p. e20-e26
    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.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2009
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  • 3
    In: Blood, American Society of Hematology, Vol. 118, No. 21 ( 2011-11-18), p. 2878-2878
    Abstract: Abstract 2878 Primary plasma-cell leukemia (pPCL) is an aggressive, rare variant of plasma cell (PC) dyscrasia characterized by extra-medullary proliferation of PCs, high genomic instability and very poor prognosis. The present study was aimed at investigating global genomics in 17 pPCL recruited in an open-label, exploratory, single-arm, two-stage study from the GIMEMA myeloma network designed to evaluate the safety and antitumor activity of lenalidomide in combination with low dose dexamethasone as first-line therapy in pPCL. All the samples were characterized for the main chromosomal aberrations by Fluorescence In-Situ Hybridization (FISH). Specifically, 13q and 17p deletions have been identified in 13 (76.5%) and 6 (35.3%) cases, respectively; the presence of t(11;14) translocation was found in 7 patients (41.2%), t(4;14) in 2 (11.8%) and t(14;16) in 7 (41.2%). To better define the chromosomal alterations of this set of patients, we further investigated them by means of Human Mapping 250K Nsp SNP-array (Affymetrix). SNP-array data were fully concordant with FISH results as regards 13q and 17p deletions in the analyzed patients. Among the copy number alterations identified by mapping analysis the most frequently gained chromosomal region was represented by 1q (9 cases, 52.9%); 1p, 8p, 14q, and 16q arms were affected by loss of DNA material in more than 40% of cases. Moreover, four patients showed gain at 7q (23.5%), one case displayed a near tetraploid karyotype and another one had a hyperdiploid-like pattern. Most of the minimally altered regions identified on the different chromosomes encompassed genes that have been reported to be deregulated in PC dyscrasia, such as CDKN2C (mapped to 1p32.3), FAM46C (1p12), CKS1B (1q21.2), PARK2 (6q26), PPP2R2A (8p21.2), RB1 and MIR-15A/16-1 (13q14.2), TRAF3 (14q32.32), CYLD (16q12.1), WWOX (16q23.3-q24.1), and TP53 (17p13.1). The mutational analysis of the most frequently mutated exons (5–9) of TP53 gene revealed the presence of coding mutations in 4 patients (23.5%), three of which carried a monoallelic deletion including the gene locus. This supports the knowledge that the prevalence of TP53 mutations increases in more advanced disease and is strongly associated with hemizygosity. Genome-wide profiling data were then integrated with the transcriptional profiles generated on Gene 1.0 ST array (Affymetrix). Our analysis (Wilcoxon rank-sum test at a P 〈 0.001) identified 134 transcripts whose expression levels strongly correlated with the occurrence of allelic imbalances, all of them in the previously described altered regions; specifically, 42 mapped to gained regions on 1q (40/134=29.9%) and 7q (1.5%), and 92 mapped to deleted regions on 1p (10.4%), 6q (6.7%), 8p (10.4%), 13q (9.7%), 14q (18.7%), 16q (6.0%) and 17p (6.7%). Enriched categories in functional annotation analysis are protein metabolism, transport, catabolic processes as the proteasome ubiquitination pathway (PSMC6, PSMA3, PSMB4 and PSMD4), and telomere organization and maintenance (PINX1, PARP1 and WRN). Overall, our data highlighted a wide gene-dosage effect, suggesting that genomic structural abnormalities in pPCL closely reflect in expression imbalances. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2011
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  • 4
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 19, No. 12 ( 2013-06-15), p. 3247-3258
    Abstract: Purpose: Plasma cell leukemia (PCL) is a rare form of plasma cell dyscrasia that presents either as a progression of previously diagnosed multiple myeloma, namely secondary PCL, or as initial manifestation of disease, namely primary PCL (pPCL). Although the presenting signs and symptoms include those seen in multiple myeloma, pPCL is characterized by several aspects that define a more aggressive course. Here, we have investigated the transcriptome of pPCLs and correlated differential expression profiles with outcome to provide insights into the biology of the disease. Experimental Design: The expression profiles of 21 newly diagnosed pPCLs included in a multicenter prospective clinical trial were generated using high-density microarray, then evaluated in comparison with a representative series of patients with multiple myeloma and in association with clinical outcome. Results: All but one of the pPCLs had one of the main immunoglobulin heavy-chain locus translocations, whose associated transcriptional signatures resembled those observed in multiple myeloma. A 503-gene signature distinguished pPCL from multiple myeloma, from which emerged 26 genes whose expression trend was associated with progressive stages of plasma cells dyscrasia in a large dataset from multiple institutions, including samples from normal donors throughout PCL. Finally, 3 genes were identified as having expression levels that correlated with response to the first-line treatment with lenalidomide/dexamethasone, whereas a 27-gene signature was associated with overall survival independently of molecular alterations, hematologic parameters, and renal function. Conclusions: Overall, our data contribute to a fine dissection of pPCL and may provide novel insights into the molecular definition of patients with poorer prognosis. Clin Cancer Res; 19(12); 3247–58. ©2013 AACR.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2013
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  • 5
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 19, No. 12 ( 2013-06-15), p. 3130-3142
    Abstract: Purpose: Primary plasma cell leukemia (pPCL) is a rare and very aggressive form of plasma cell dyscrasia. To date, no information on microRNA (miRNA) expression in pPCL has been reported. This study aimed at investigating the involvement of miRNAs in pPCL and their possible relationship with higher tumor aggressiveness. Experimental design: Global miRNA expression profiles were analyzed in highly purified malignant plasma cells from 18 pPCL untreated patients included in a prospective clinical trial. MiRNA expression patterns were evaluated in comparison with a representative series of multiple myeloma patients, in relation to the most recurrent chromosomal abnormalities (as assessed by fluorescence in situ hybridization and single-nucleotide polymorphism-array analysis), and in association with clinical outcome. MiRNA expression was also integrated with gene expression profiles in pPCL and multiple myeloma samples. Results: We identified a series of deregulated miRNAs in pPCL (42 upregulated and 41 downregulated) in comparison with multiple myeloma. Some of them, on the basis of their reported functions and putative target genes computed by integrative analysis, might have a role in the pathobiology of pPCL. As regards chromosomal aberrations, the expression of some miRNAs mapped to hotspot altered regions was associated with DNA copy number of the corresponding loci. Finally, 4 miRNA (miR-497, miR-106b, miR-181a*, and miR-181b) were identified as having expression levels that correlated with treatment response, and 4 (miR-92a, miR-330-3p, miR-22, and miR-146a) with clinical outcome. Conclusions: Overall, our study provides insights into the possible contribution of miRNAs in the pathogenesis of pPCL and suggests targets for future therapeutic investigations. Clin Cancer Res; 19(12); 3130–42. ©2013 AACR.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2013
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  • 6
    In: American Journal of Hematology, Wiley, Vol. 88, No. 1 ( 2013-01), p. 16-23
    Type of Medium: Online Resource
    ISSN: 0361-8609
    Language: English
    Publisher: Wiley
    Publication Date: 2013
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  • 7
    In: Genes, Chromosomes and Cancer, Wiley, Vol. 48, No. 6 ( 2009-06), p. 521-531
    Type of Medium: Online Resource
    ISSN: 1045-2257 , 1098-2264
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2009
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  • 8
    In: Blood, American Society of Hematology, Vol. 110, No. 11 ( 2007-11-16), p. 2486-2486
    Abstract: Multiple myeloma (MM) is a fatal malignancy of clonal bone marrow plasma cells characterized by a high genomic instability increasing with disease progression. We describe here a genomic amplification at 17p11.2–p12, an unstable chromosomal region characterized by a large number of low copy repeats which have been proven to mediate deletion and duplication in several genomic disorders and amplifications in solid tumors. An approximately 5 Mb 17p11.2–p12 amplified region was detected in KMS-26 myeloma cell line by SNP microarray analysis. Further FISH mapping showed two unidentified amplified chromosomes as well as a complex pattern of rearranged chromosomes 17. The analysis of transcriptional profiles in a proprietary data base of myeloma cell lines, identified 12 significantly overexpressed genes in KMS–26 amplified region, including TNFRSF13B/TACI, COPS3, and NCOR1. The evaluation of their expression levels in a data base including 11 monoclonal gammopathy of uncertain significance, 121 MM and 9 plasma cell leukaemia, showed a significant overexpression of at least one gene in 13 patients. FISH analyses of these patients identified one MM carrying a 3.8 Mb amplified region and two MMs with gains specifically involving the TACI locus. Interestingly, the complete inactivation of TP53 at 17p13.1 was found in KMS–26 whereas a monoallelic loss was identifiable in two of the three patients carrying gain/amplification. Our data suggest that, as in the case of solid tumors, amplification/gain of the 17p11.2–p12 in MM could be mediated by the presence of repeats located in this region and may provide insights for defining novel candidate myeloma-associated genes.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2007
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  • 9
    In: Blood, American Society of Hematology, Vol. 114, No. 22 ( 2009-11-20), p. 2824-2824
    Abstract: Abstract 2824 Poster Board II-800 Multiple 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. The discovery of microRNA (miRNA) genes, encoding for a class of small non-coding RNAs involved in the regulation of cell cycle, survival and differentiation programs, has added a further level of complexity to normal and cancer cell biology; it has been suggested that chromosomal abnormalities and other types of genetic or epigenetic alterations might contribute to miRNA deregulation in cancer. To date, only little evidence of miRNA expression/deregulation in multiple myeloma (MM) has been reported. To characterize miRNA expression profiling of MM plasma cells (PCs) and integrate miRNA expression data with other molecular features of MM patients, global miRNA expression profiles of PCs isolated from BM biopsies of 38 newly diagnosed MM, 2 plasma cell leukemia patients, and 3 healthy donors were generated using the Agilent Human miRNA microarray V2 (representing 723 human mature miRNAs from the Sanger miRBase v10.1). All of the patients had previously been characterized by FISH for the main IGH translocations and other genetic abnormalities; they were also profiled for global gene expression by means of Affymetrix U133A arrays; nineteen of the patients profiled for miRNA expression underwent genome-wide DNA analysis using Affymetrix GeneChip® Human Mapping 50K XbaI microarrays. An unsupervised analysis of the samples, using conventional hierarchical clustering algorithm and based on the most variably expressed miRNAs across the dataset, grouped the PCs from healthy donors separately from MM PCs; among the pathological samples, the most striking finding was that the seven patients with t(4;14) (TC4) were tightly clustered, as were four out of the five samples with translocated MAF genes (TC5). A partial grouping of the TC2 cases (mostly hyperdiploid) was also observed, whereas the TC1, showing t(11;14), and TC3 (mostly expressing Cyclin D2), samples were dispersed along the dendrogram. A multiclass supervised analysis of the miRNA expression between the members of the 5 TC groups highlighted specific miRNA signatures, in particular characterizing the TC4 and TC5 groups. A slight miRNA signature was observed in t(11;14) cases and TC2 group, whereas we could not identify any TC3-specific miRNA signature. None of the differentially expressed miRNAs in patients with specific IGH translocations maps to the rearranged chromosomal regions. The levels of some differentially expressed miRNAs were quantified by means of Q-RT-PCR in all of the 43 samples, using specific TaqMan® microRNA assays (Applied Biosystems); a linear correlation analysis indicated very good correspondence between microarrays and Q-RT-PCR data. Furthermore, the expression of specific miRNAs was also evaluated in 14 additional cases, four carrying t(11;14), seven t(4;14), and three t(14;16) or t(14;20): as well, in this broaden panel the selected miRNAs confirmed their TC-specific over-expression. The occurrence of other lesions, such as 1q gain, 13q and 17p deletions, and hyperdiploidy, was slightly characterized by specific miRNA signatures. Furthermore, the integrated analysis with the genomic profiles revealed the occurrence of several allelic imbalances significantly associated with the altered expression of miRNAs located in the involved regions, such as let-7b at 22q13.31 (loss) and miR-142-3p at 17q22 (gain), or miR-140-3p at 16q22 (loss-of-heterozygosity). Finally, in an attempt to define the consequences of deregulated miRNA expression, we performed an integrative analysis based on computational target prediction, miRNA and mRNA profiling. Specifically, we searched for putative functional targeting relationships in MM cells supported by expression data, i.e. anti-correlations between miRNA and target mRNA expression profiles, and thus defined a global miRNAs/mRNAs regulatory network. Our data provide the first evidence of miRNA deregulation in the context of the molecular subtypes of MM, and represent the first attempt to define the complex of miRNAs/mRNAs regulatory relationships, aimed at deepening our understanding of the involvement of specific miRNAs and target genes in the pathology of the disease. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2009
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  • 10
    In: Blood, American Society of Hematology, Vol. 120, No. 21 ( 2012-11-16), p. 3955-3955
    Abstract: Abstract 3955 Small nucleolar RNAs (snoRNAs) and small Cajal body-specific RNAs (scaRNAs) are non-coding RNAs involved in the maturation of other RNA molecules and generally located in the introns of host genes. It is an emerging evidence that altered sno/scaRNAs expression may play a pathological role in cancer. Impaired sno/scaRNAs expression has recently been reported both in acute leukemia and smoldering myeloma that rapidly progressed to symptomatic disease. In addition, as regards multiple myeloma (MM), very recent data suggested an oncogenic role for SCARNA22 in those MM patients over-expressing SCARNA22/MMSET as a result of t(4;14) translocation. However, comprehensive information concerning the expression behavior of sno/scaRNAs in MM is still lacking. This study elucidates the patterns of sno/scaRNAs expression in MM by profiling purified malignant plasma cells from 55 MMs, 8 secondary plasma cell leukemias (sPCL) and 4 normal controls using Human Gene 1.0 ST arrays. Overall, a global sno/scaRNAs down-regulation was found in MMs and at more extent in sPCLs compared to normal plasma cells. Whereas SCARNA22 resulted the only sno/scaRNA characterizing the TC4 MM, TC2 group displayed a distinct sno/scaRNA signature overexpressing members of SNORD115 and SNORD116 families located in a region finely regulated by an imprinting center at 15q11 which, however, resulted overall hypomethylated in MMs independently of the SNORD115 and SNORD116 expression levels. In addition, impaired expression of sno/scaRNAs raised from the comparison between MM and sPCL, suggested a role in tumor progression. Furthermore, to uncover possible mechanisms at the basis of sno/scaRNAs deregulation, we investigated the correlation between sno/scaRNAs and the corresponding host-genes expression levels, outlining the coordinated expression of up to 50% of sno/scaRNAs/host-genes pairs. Finally, we investigated whether the sno/scaRNAs transcriptional pattern may be influenced by allelic imbalances involving their genomic location, as already demonstrated concerning mRNA expression, and revealed a dosage effect involving several chromosomal regions. Our data extend the current view of sno/scaRNAs deregulation in cancer and add novel information into the bio-molecular complexity of plasma cell dyscrasias. Furthermore, our findings may contribute to develop functional approaches to examine the activity of deregulated sno/scaRNAs in MM, as well as to further enlighten their possible role as targets of novel therapeutic agents. Disclosures: No relevant conflicts of interest to declare.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
    detail.hit.zdb_id: 1468538-3
    detail.hit.zdb_id: 80069-7
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