Laura Mosca

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

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.

An integrative genomic approach reveals coordinated expression of intronic miR-335, miR-342, and miR-561 with deregulated host genes in multiple myeloma

BackgroundThe role of microRNAs (miRNAs) in multiple myeloma (MM) has yet to be fully elucidated. To identify miRNAs that are potentially deregulated in MM, we investigated those mapping within transcription units, based on evidence that intronic miRNAs are frequently coexpressed with their host genes. To this end, we monitored host transcript expression values in a panel of 20 human MM cell lines (HMCLs) and focused on transcripts whose expression varied significantly across the dataset.MethodsmiRNA expression was quantified by Quantitative Real-Time PCR. Gene expression and genome profiling data were generated on Affymetrix oligonucleotide microarrays. Significant Analysis of Microarrays algorithm was used to investigate differentially expressed transcripts. Conventional statistics were used to test correlations for significance. Public libraries were queried to predict putative miRNA targets.ResultsWe identified transcripts specific to six miRNA host genes (CCPG1, GULP1, EVL, TACSTD1, MEST, and TNIK) whose average changes in expression varied at least 2-fold from the mean of the examined dataset. We evaluated the expression levels of the corresponding intronic miRNAs and identified a significant correlation between the expression levels of MEST, EVL, and GULP1 and those of the corresponding miRNAs miR-335, miR-342-3p, and miR-561, respectively. Genome-wide profiling of the 20 HMCLs indicated that the increased expression of the three host genes and their corresponding intronic miRNAs was not correlated with local copy number variations. Notably, miRNAs and their host genes were overexpressed in a fraction of primary tumors with respect to normal plasma cells; however, this finding was not correlated with known molecular myeloma groups. The predicted putative miRNA targets and the transcriptional profiles associated with the primary tumors suggest that MEST/miR-335 and EVL/miR-342-3p may play a role in plasma cell homing and/or interactions with the bone marrow microenvironment.ConclusionOur data support the idea that intronic miRNAs and their host genes are regulated dependently, and may contribute to the understanding of their biological roles in cancer. To our knowledge, this is the first evidence of deregulated miRNA expression in MM, providing insights that may lead to the identification of new biomarkers and altered molecular pathways of the disease.

A SNP microarray and FISH‐based procedure to detect allelic imbalances in multiple myeloma: An integrated genomics approach reveals a wide gene dosage effect

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.

Differential repetitive DNA methylation in multiple myeloma molecular subgroups

Multiple myeloma (MM) is characterized by a wide spectrum of genetic changes. Global hypomethylation of repetitive genomic sequences such as long interspersed nuclear element 1 (LINE-1), Alu and satellite alpha (SAT-alpha) sequences has been associated with chromosomal instability in cancer. Methylation status of repetitive elements in MM has never been investigated. In the present study, we used a quantitative bisulfite-polymerase chain reaction pyrosequencing method to evaluate the methylation patterns of LINE-1, Alu and SAT-alpha in 23 human myeloma cell lines (HMCLs) and purified bone marrow plasma cells from 53 newly diagnosed MM patients representative of different molecular subtypes, 7 plasma cell leukemias (PCLs) and 11 healthy controls. MMs showed a decrease of Alu [median: 21.1 %5-methylated cytosine (%5mC)], LINE-1 (70.0%5mC) and SAT-alpha (77.9%5mC) methylation levels compared with controls (25.2, 79.5and 89.5%5mC, respectively). Methylation levels were lower in PCLs and HMCLs compared with MMs (16.7 and 14.8%5mC for Alu, 45.5 and 42.4%5mC for LINE-1 and 33.3 and 43.3%5mC for SAT-alpha, respectively). Notably, LINE-1 and SAT-alpha methylation was significantly lower in the non-hyperdiploid versus hyperdiploid MMs (P = 0.01 and 0.02, respectively), whereas Alu and SAT-alpha methylation was significantly lower in MMs with t(4;14) (P = 0.02 and 0.004, respectively). Finally, we correlated methylation patterns with DNA methyltransferases (DNMTs) messenger RNA levels showing in particular a progressive and significant increase of DNMT1 expression from controls to MMs, PCLs and HMCLs (P < 0.001). Our results indicate that global hypomethylation of repetitive elements is significantly associated with tumor progression in MM and may contribute toward a more extensive stratification of the disease.

Molecular and Transcriptional Characterization of 17p Loss in B-Cell Chronic Lymphocytic Leukemia

Distinct genetic abnormalities, such as TP53 deletion at 17p13.1, have been identified as having adverse prognostic relevance in B‐cell chronic lymphocytic leukemia (B‐CLL), and conventional cytogenetic studies have shown that TP53 deletion in B‐CLL is mainly associated with the loss of 17p due to complex chromosomal rearrangements. We used an integrative genomic approach to investigate the significance of 17p loss in 18 B‐CLLs in Binet stage A, carrying a TP53 monoallelic deletion detected by means of fluorescence in situ hybridization (FISH). Genome‐wide DNA analysis using single nucleotide polymorphism (SNP) arrays of 12 of 18 samples showed 17p loss in 11 cases, with breakpoints scattered along the 17p11.2 region. FISH analysis confirmed these findings and revealed 17p loss in a small fraction of leukemic cells in the remaining TP53‐deleted case, and it also indicated 17p loss in the six cases not investigated by means of SNP arrays. Mutations in exons 2–11 of the remaining TP53 allele were found in 9 of 12 deleted samples. Gene‐expression profiling of 60 B‐CLLs, including seven patients with 17p loss, identified 40 differentially expressed genes in 17p‐ versus 17p normal samples, 35 of which were downregulated in 17p‐tumors. The majority (30 of 35) of these transcripts, including putative tumor suppressor genes, mapped to 17p, thus indicating a remarkable gene‐dosage effect. Our data provide evidence that 17p loss may play an additional pathogenetic role in B‐CLL and suggest that the concomitant loss of multiple tumor suppressor genes could be responsible for the highly adverse prognostic relevance associated with TP53 loss.

Integrative Genomics Analyses Reveal Molecularly Distinct Subgroups of B-Cell Chronic Lymphocytic Leukemia Patients with 13q14 Deletion

Purpose: Chromosome 13q14 deletion occurs in a substantial number of chronic lymphocytic leukemia (CLL) patients and it is believed to play a pathogenetic role. The exact mechanisms involved in this lesion have not yet been fully elucidated because of its heterogeneity and the imprecise knowledge of the implicated genes. This study was addressed to further contribute to the molecular definition of this lesion in CLL. Experimental Design: We applied single-nucleotide polymorphism (SNP)-array technology and gene expression profiling data to investigate the 13q14 deletion occurring in a panel of 100 untreated, early-stage (Binet A) patients representative of the major genetics, molecular, and biological features of the disease. Results: Concordantly with FISH analysis, SNP arrays identified 44 patients with del(13)(q14) including 11 cases with a biallelic deletion. The shorter monoallelic deletion was 635-kb long. The loss of the miR-15a/16-1 cluster occurred in all del(13)(q14) cases except in 2 patients with a monoallelic deletion, who retained both copies. MiR-15a/16 expression was significantly downregulated only in patients with the biallelic loss of the miRNA cluster compared to 13q normal cases. Finally, the natural grouping of SNP profiles by nonnegative matrix factorization algorithm showed that patients could be classified into 2 separate clusters, mainly characterized by short/biallelic versus wide/monoallelic 13q14 deletions. Supervised analyses of expression data showed that specific transcriptional profiles are correlated with these 2 genomic subgroups. Conclusions: Overall, our data highlight the presence of 2 distinct molecular types of 13q14 deletions, which may be of clinical relevance in CLL. Clin Cancer Res; 16(23); 5641–53. ©2010 AACR.

Biological and clinical relevance of miRNA expression signatures in primary plasma cell leukemia

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.

Integrative high-resolution microarray analysis of human myeloma cell lines reveals deregulated miRNA expression associated with allelic imbalances and gene expression profiles

It is thought that altered microRNA (miRNA) expression due to various mechanisms plays a critical role in the pathogenesis of most human cancers. Notably, about half of the known miRNAs are intragenic and frequently coexpressed with their host genes. To date there is little evidence concerning miRNA expression in multiple myeloma (MM). In an attempt to provide insights into miRNA deregulation in MM, we profiled global miRNA expression in a panel of molecularly well‐characterized human myeloma cell lines (HMCLs) using high‐resolution microarrays, and then used integrative analyses to identify altered patterns correlated with DNA copy number (CN) or gene expression profiles. We identified 16 miRNAs mapped to chromosomal regions frequently involved in numerical imbalances in MM, whose expression significantly correlated with the CN of the corresponding miRNA genes; among these, miR‐22 expression was also affected by chromosome arm 17p loss in a representative panel of primary MM tumors. The expression of 32 intronic miRNAs significantly correlated with that of their host transcripts, some of which were highly deregulated in MM patients. The expression of some of the miRNAs was validated by quantitative RT‐PCR. Finally, a number of the identified miRNAs have previously been reported to play important roles in tumorigenesis. Overall, our data highlight that genomic alterations may significantly affect miRNA expression in HMCLs and demonstrate a frequent coexpression of intronic miRNAs with their host genes that may have a pathogenetic relevance in plasma cell transformation.

Clinical Monoclonal B lymphocytosis versus Rai 0 Chronic Lymphocytic Leukemia: a Comparison of Cellular, Cytogenetic, Molecular, and Clinical Features

Purpose: To investigate the incidence and clinical relevance of classic and new prognostic markers, IGHV gene mutational status, and chromosomal abnormalities in clinical monoclonal B lymphocytosis (cMBL) compared with Rai stage 0 chronic lymphocytic leukemia (Rai0-CLL). Experimental Design: A group of 136 patients with cMBL and a group of 216 Rai0-CLL cases were investigated prospectively. Results: IGHV-mutated cases were significantly more frequent among cMBLs (P = 0.005), whereas the distribution of CD38 and ZAP-70 positive cases, of patients with NOTCH1 and SF3B1 mutations or exhibiting the major CLL cytogenetic abnormalities, was similar in the two groups. Moreover, no significant differences were found either in IGHV/IGHD/IGHJ gene usage or in the overall prevalence of stereotyped IGHV gene sequences. Cells from cMBL and Rai0-CLL exhibited similar gene and microRNA (miRNA) signatures; in addition, when grouped according to the IGHV mutational status, IGHV-unmutated cases showed different transcriptional signatures compared with IGHV-mutated patients, irrespective of the cMBL or Rai0-CLL classification. cMBL diagnosis per se was predictive of longer progression-free survival. Conclusions: Our study based on a prospective series of patients indicates that no major differences exist between the circulating cells from cMBL and Rai0-CLL, at least based on a comparison of the markers used in the study. This possibly suggests that the two conditions mainly differ in the initial size of the monoclonal cell population, which may influence the subsequent timing of clonal expansion and clinical manifestations. Clin Cancer Res; 19(21); 5890–900. ©2013 AACR.

Genome‐wide analysis of primary plasma cell leukemia identifies recurrent imbalances associated with changes in transcriptional profiles

Primary plasma cell leukemia (pPCL) is a rare, yet aggressive form of de novo plasma cell tumor, distinct from secondary PCL (sPCL) which represents a leukemic transformation of pre‐existing multiple myeloma (MM). Herein, we performed a comprehensive molecular analysis of a prospective series of pPCLs by means of FISH, single nucleotide polymorphism (SNP) array and gene expression profiling (GEP). IGH@ translocations were identified in 87% of pPCL cases, with prevalence of t(11;14) (40%) and t(14;16) (30.5%), whereas the most frequent numerical alterations involved 1p (38%), 1q (48%), 6q (29%), 8p (42%), 13q (74%), 14q (71%), 16q (53%), and 17p (35%). We identified a minimal biallelic deletion (1.5 Mb) in 8p21.2 encompassing the PPP2R2A gene, belonging to a family of putative tumor suppressors and found to be significantly down‐regulated in deleted cases. Mutations of TP53 were identified in four cases, all but one associated with a monoallelic deletion of the gene, whereas activating mutations of the BRAF oncogene occurred in one case and were absent in N‐ and K‐RAS. To evaluate the influence of allelic imbalances in transcriptional expression we performed an integrated genomic analysis with GEP data, showing a significant dosage effect of genes involved in transcription, translation, methyltransferase activity, apoptosis as well as Wnt and NF‐kB signaling pathways. Overall, we provide a compendium of genomic alterations in a prospective series of pPCLs which may contribute to improve our understanding of the pathogenesis of this aggressive form of plasma cell dyscrasia and the mechanisms of tumor progression in MM. Am. J. Hematol. 2013.