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  • Mosca, Laura  (6)
  • Ronchetti, Domenica  (6)
  • 1
    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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    detail.hit.zdb_id: 1492641-6
    SSG: 12
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  • 2
    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
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2012
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  • 3
    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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  • 4
    In: Blood, American Society of Hematology, Vol. 112, No. 11 ( 2008-11-16), p. 1684-1684
    Abstract: The recent discovery of microRNAs (miRNAs), small noncoding RNAs involved in the regulation of cell cycle, survival, and differentiation programmes, has added a further level of complexity to normal and cancer cell biology. Loss or amplification of miRNA genes by broad cytogenetic abnormalities or minute molecular aberrations has been observed in a variety of human malignancies, with the consequent altered expression of these regulatory genes. Additionally, approximately one third of miRNAs are located within the intronic regions of coding transcription units, and recent evidence indicates that the expression of these miRNAs largely coincides with the transcription of the corresponding host genes. To date, no evidence of deregulated miRNA expression has been reported in multiple myeloma (MM). To provide insights into miRNA biology in MM, we performed an integrative analysis of genome-wide, gene expression and miRNA expression profilings in a panel of 16 human myeloma cell lines (HMCLs). Global miRNA and mRNA expression data were generated on Agilent miRNA microarrays (representing 470 human mature miRNAs) and GeneChip® HG-U133A arrays, respectively, and both quantile-normalized. Genome-wide profiling data were generated on GeneChip® Human Mapping 250K NspI arrays and copy number (CN) values were inferred using the circulary binary segmentation (DNAcopy R Bioconductor package). To measure the correlation between the expression levels of each miRNA and the corresponding CN value or host gene expression, conventional non-parametric analyses were performed (Kendall’s tau and Wilcoxon rank-sum tests). As regards miRNA gene CN, the most frequent alteration identified was represented by gain/amplification (for all miRNA genes investigated, an increased CN was present in at least 3 HMCLs, with an average frequency of 58%), followed by loss (5%) and biallelic deletion (0.3%). Our analysis revealed that 14 different miRNA transcripts (miR-15a, miR-19a, miR-21, miR-22, miR-30d, miR-99b, miR-130b, miR-132, miR-140, miR-185, miR-339, miR-491, miR-503, miR-768-3p) had concordant levels with the inferred CN value of the corresponding miRNA gene. Notably, the identified miRNAs mapped to different genomic regions, some of which are involved in recurrent CN alterations in MM, such as 8q24, 19q13.33, or chromosome arms 13q, 16q, 17p, 17q, 22q, and for some of the miRNAs a role in other types of cancer has already been suggested. As regards intragenic miRNAs, 187 miRNA/host gene pairs were obtained after localizing miRNAs within the absolute 5′ and 3′ regions of genes represented on the HG-U133A arrays; 25 of these showed a significant correlation between miRNA and mRNA levels. Among the most correlated miRNA/hostgene pairs we identified miR-152/COPZ2, miR-342-3p/EVL, miR-335/MEST, miR-25 and miR-106b/MCM7. For some of the identified pairs, miRNA expression levels were validated by means of Q-RT-PCR. In conclusion, we showed that miRNA expression in HMCLs could be affected by the presence of genomic lesions or may correlate with host-gene modulation, suggesting a possible role in the molecular pathogenesis of MM. Our integrative approach represents the basis for further investigations, also in primary tumors, aimed at functionally characterizing specific miRNAs in MM.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2008
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  • 5
    In: Blood, American Society of Hematology, Vol. 108, No. 11 ( 2006-11-16), p. 3412-3412
    Abstract: Karyotypic instability is strongly associated with multiple myeloma (MM). According to the chromosome number pattern, two major groups are recognized: hyperdiploid (H) tumors, associated with recurrent trisomies involving non-random chromosomes (3, 5, 7, 9, 11, 15, 19 and 21); and non hyperdiploid (NH) tumors associated with hypodiploid, pseudodiploid or near-tetraploid karyotypes. MM patients are approximately equally distributed between the two categories; notably, the most recurrent IGH translocations and chromosome 13 deletion appear to be prevalently associated with NH-MM, whereas recent evidences have suggested that H-MM correlates with a favorable prognosis. To molecularly characterize these two genetic categories, we performed a gene expression profiling analysis on 66 newly-diagnosed MM, characterized by FISH analyses for IGH translocations, 13q14 deletions and additional copies of chromosomes 1, 11 and 19. The ploidy status was investigated by combining two recently proposed FISH approaches (Wuilleme S. et al., 2004; Chng W.J. et al., 2005). The gene expression profiles of highly purified MM plasma cells have been generated by means of high-density oligonucleotide arrays (Affymetrix GeneChip U133A) and subsequently analyzed using unsupervised and supervised approaches (two-dimensional hierarchical clustering and SAM, respectively). The differential expression of 229 genes distinguished the 28 H-MM from the 38 NH-MM cases. The 208 upregulated genes in H-MM mapped mainly on the chromosomes involved in hyperdiploidy, while a significant percentage (29%) of the 21 genes upregulated in NH-MM were localized on 16q. The identified transcripts have been further validated on a publicly available gene expression dataset of an independent cohort of 64 MM patients (Carrasco et al., 2005). Notably, the global classification rate for the 64 cases resulted of 81%, confirming the validity of the identified transcriptional fingerprint. A functional analysis revealed a significant fraction of genes involved in protein biosynthesis (38%), transcriptional machinery and oxidative phosphorylation. Furthermore, an integrative genomic approach using a model-free statistical method (LAP, locally adaptive statistical procedure) supported these findings, allowing the identification in H-MM of globally upregulated regions on the chromosomes 3, 5, 9, 15 and 19, along with the downregulation of a region on 16q arm. Remarkably, two sub-groups are clearly distinguishable within H-MM group, one associated with chromosome 11 gain and the other showing 1q gain and chromosome 13 deletion. A supervised analysis of the H-11 vs H-13/1 patients identified 57 differentially expressed genes. Eleven of the 18 genes up-regulated in the H-11 group mapped to chromosome 11, whereas 21 of the 39 genes up-regulated in the H-13/1 group mapped to the 1q region. Notably, CCND2 resulted the most significantly upregulated gene in H-13/1 group. Our data reinforce the importance of combining cytogenetics and gene expression approaches for a better definition of the genetic alterations in MM and provide a molecular and genomic framework for dissection of disease pathogenesis and clinical management.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
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    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2006
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  • 6
    In: Blood, American Society of Hematology, Vol. 110, No. 11 ( 2007-11-16), p. 2482-2482
    Abstract: Multiple myeloma (MM) is characterized by a high genomic instability that involves both ploidy and structural rearrangements. Nearly half of MM tumors are non-hyperdiploid and are frequently associated with 13q deletion and chromosomal translocations involving the immunoglobulin heavy chain (IGH) locus on chromosome 14q32. The remaining tumors are hyperdiploid, showing low prevalence of both IGH translocations and chromosome 13 deletions. Our study was aimed at providing insights into the genomic heterogeneity associated with plasma cell neoplasms by defining the genome-wide pattern of genetic lesions in a representative and stratified panel of MM patients. To this end, genome-wide profiling data of 45 plasma cell dyscrasia patients (41 MM and 4 plasma cell leukemia) were generated on GeneChip® Human Mapping 50K Xba SNP arrays, and the local DNA copy number variations were calculated using the DNAcopy Bioconductor package. The patients were clustered using the non-negative matrix factorization (NMF) algorithm to identify, within the natural grouping of profiles, the strongest clusters on the basis of their genomic characteristics. We identified three consistent clusters, characterized byrecurrent gains of odd-chromosomes, suggestive of the hyperdiploid status (Group A),high frequency of chromosome 13 deletion and 1q gains (Group B), orhigh frequency of chromosomes 13, 14, 16 and 22 deletions and losses of 1p and 4p regions, together with some cases showing 1q gains (Group C). To determine whether peculiar transcription fingerprints characterized these groups, gene expression profiles of 40 out of 45 corresponding samples generated on GeneChip® HG-U133A arrays were analyzed using the Prediction Analysis of Microarray (PAM) software. The multi-class analysis identified 229 transcripts (corresponding to 195 genes), which specifically marked the three groups. In particular, Group A was characterized by the overexpression of genes involved in the translational machinery or thought to be involved in MM pathogenesis such as the HGF, the tumor necrosis factor ligand TRAIL, DKK1, and c-KIT. Upregulation of the CKS1B gene was present in Group B and C, most likely reflecting the high frequencies of 1q gains in tumors within group B and C and its consequent deregulation. Group C was marked by the specific downregulation of genes mainly mapped to 1p arm: AMPD1, CSDE1, AKR1A1 and the PRKACB kinase, suggesting a relationship with the recurrent 1p loss within the group. Our data further supported the notion that structural abnormalities in multiple myeloma are associated with gene expression imbalances, and provide novel analytical approaches for the identification of genetic lesions and molecular patterns of the disease.
    Type of Medium: Online Resource
    ISSN: 0006-4971 , 1528-0020
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Hematology
    Publication Date: 2007
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    detail.hit.zdb_id: 80069-7
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