Wier, Scott Van

Abstract Background: Multiple mechanisms exist for the positive selection of genes involved in oncogenesis such as gene amplification and transcriptional deregulation associated with chromosome translocations. Here we describe the case of a myeloma cell line that over time acquired extra copies of a derivative chromosome 4 involved in the t(4;14). These changes occurred over time both in vitro (in the generated JMW myeloma cell lines) as well as in vivo from extramedullary myeloma samples collected from the patient at various time points. In the case of the t(4;14)(p16;q32) 30% can be unbalanced translocations, always with loss of the der(14) and consequent loss of the FGFR3 gene expression, suggesting an indispensable role for MMSET located in the der(4). Results: We performed serial analysis on patient samples obtained at 9, 10 and 12 mos from diagnosis, along with a time course analysis of the cell line. At diagnosis the patient tumor cells displayed a complex clinical karyotype subsequently characterized by hypodiploidy, a t(4;14)(p16;q32), 13 monosomy and 17p13.1-. The remaining chromosome 13 and 17 were involved in an unbalanced reciprocal translocation. Notably, over time the cell line duplicated the total chromosome number becoming near-tetraploid. At the time of diagnosis, FISH analysis was performed on the patient sample revealing the translocation t(4;14)(p16.3:q32) in nearly all cells. The t(4;14) was also present in the stable cell line. It was noted that the patient cells exhibited more than one fusion signal per cell for the t(4;14) by FISH. As the disease progresses both in vitro and in vivo, the number of t(4;14)(p16.3:q32) fusion signals detected per cell increased with time suggesting a positive selection of the derivative chromosomes of the translocation. We further analyzed the t(4;14) in the JMW cells by FISH using MMSET/VH, and FGFR3/CH probe combinations. The full-length (MMSET/FGFR3+VH/CH) probe was used to detect the total number of fusions in the JMW cells. At the time of analysis (cell line passage #23), the majority of the cells (69%) had 6 fusion signals per cell while 23% had 5 fusions and 8% of the cells had 4 fusions. We found that most of the cells (88%) displayed 4 fusion signals detected using the MMSET/VH probes. In parallel studies using the FGFR3/CH probes, 61% of the cells had 2 fusion signals and 39% with 1 fusion signal. It is evident that the tumor cells display positive selection of the derivative chromosome der(4) of the t(4;14)(p16.3;q32), accompanied by an increased dosage of the target gene (MMSET) upregulated by the translocation. Conclusion: We present evidence for the amplification of the translocated chromosome in multiple myeloma, which we have termed “trans-amplicons”. Trans-amplicons may provide a selective growth and survival advantage to the myeloma tumor cells in an analogous manner to amplicons of DNA segments, but with much more powerful transcriptional consequences. Importantly, the evolution of genomic instability exemplified by the “trans-amplicons” in the patient cells was paralleled in vitro in the JMW cells.

Abstract Background: The p53 tumor suppressor gene has a common sequence polymorphism that results in either proline or arginine at amino-acid position 72. The Pro72 and Arg72 variants have been reported to differ in its functional activity. The Arg72 variant induces apoptosis more efficiently than Pro72 variant by its greater ability to localize to the mitochondria and increase the release of cytochrome c into the cytoplasm. In addition, recent studies have demonstrated that Arg72 variant was a better suppressor of cellular transformation, an activity believed to rely on the pro-apoptotic function of p53. Moreover, the Pro72 variant has been associated with a higher incidence of tumors. Aim: To evaluate the effect of the polymorphic variants of codon 72 and clinical outcome in patients with plasma cell malignancies. Patients and Methods: We analyzed 79 patients with plasma cell malignancies seen at Mayo Clinic between 2000 and 2003. Genomic DNA was extracted from CD138+ sorted plasma cell from bone marrow aspirates. PCR amplification of codon 72 and posterior sequencing was used for the analysis. Results: A total of 79 patients were analyzed. Thirty-four patients (34%) were heterozygous for p53, 57 (59%) homozygous for Arginine and 6 (6%) homozygous for Proline. The distribution among disorders was as follow, 52 patients had MM, 14 patients with SMM and 13 with MGUS. Among patient with MM 25% were Pro/Arg heterozygous, 71 % were Arg/Arg homozygous and 3.8% Pro/Pro homozygous. Survival data among MM patients and genotype were analyzed to Kaplan- Meier method. No significant differences were found among patients who carried homozygous (72R) or heterozygous genotype and overall survival. We exclude the analysis in MGUS and SMM for a low number of patients available. Conclusions: These findings indicate that codon 72 arginine p53 may not be associated with a prolonged survival in patients with Multiple Myeloma, but further study is needed to assess whether this polymorphism is associated with progression of MGUS to MM, age of onset, clinical manifestations, response to treatment etc.

Abstract Background: Plasma cell leukemia (PCL) is a rare plasma cell (PC) dyscrasia which may be designated as primary (PPCL) or de novo PCL when recognized at the time of diagnosis and secondary (SPCL) when there is leukemic transformation of a previously recognized multiple myeloma (MM). PCL has been reported to exhibit distinct clinical and immunophenotypic features that distinguish it from MM, but little is known about the specific genetics of this disease. To better understand the genetic features of the clonal PC from PPCL and SCPL we assessed in these patients the molecular and cytogenetic abnormalities most commonly found in MM. Patients and Methods: In our study we analyzed 3 groups of patients; 18 with PPCL, 23 with SPCL and a control group of 345 newly diagnosed MM previously published. Diagnostic criteria for PCL followed the presence of >2 x103/L PC in PB (Kyle et al. Arch Intern Med1974; 133–813–8). Cytogenetic abnormalities were assessed by the c-Ig FISH method; mutational analysis was performed using Conformational-sensitive gel electrophoresis (CSGE). Methylation was analyzed by methyl specific PCR (MSP) after bisulfite genomic DNA modification. Results: Translocation of immunoglobulin heavy chain with Cyclin D1 (t (11; 14)) was present in 76.9% (10 of 13) of PPCL, 71% (5 of 7) of SPCL, in contrast to 15.8% (53 of 336) of MM cases. Translocations’ involving the FGFR3-MMSET genes (4p16.3 locus) and c-MAF (16q32) genes were not observed among 10 patients studied with PPCL, but were present in 12.7 % each in SPCL. The t (4;14)(p16;q32) was present in 12.7% cases of MM and the t(14;16)(q32;q23) was present in 4.6 % of MM cases. Deletion of 17p13.1 (p53 locus) was found in 10% (37 of 345) of MM cases, 53.8% (7 of 13) for PPCL and 42.8% (3 of 7) for SPCL. Deletion of 13q was present in 54.2% (176 of 325) of MM, 76.9 % (10 of 13) of PPCL and 57.1% of SPCL. Ras mutations were found in 15% (2/13) of PPCL, located in codon 1 and 2 of the K-ras gene. In addition, 23% for SPCL presented mutations in the N-ras gene. Two mutations were located in codon 2 of N-ras and 1 patients in showed a mutation in codon 1 of K-ras gene. Ras mutations were present in 27% of MM cases. Mutations for p53 gene were present in 30.7% (4/13) of PPCL, 17% (3/17) for SPCL and 5% for MM. Methylation specific PCR for p16 gene was found in 23% (3/13) of PPCL, 29% of SPCL and 33.9% (149/439) of MM. Hypermethylation of p14 was not detected in PPCL but a 23 % was found in SPCL. Conclusions: In this study we demonstrate that PCs from PPCL more frequently carry the t (11; 14). Comparing SPCL and MM, PC’s from de novo PPCL do not show t (4; 14) or (16; 14). Deletion of 13q was more prevalent among patients with PPCL. Ras mutations appear to be as frequent in MM as in PPCL and SPCL. Mutations in p53 appeared to be more prevalent in PPCL than in SPCL and MM. Hypermethylation of p16 does not differ while hypermethylation of p14 is more frequent in SPCL than PPCL. These characteristics may lead to a different onset or disease evolution of PPCL compared to MM and secondary plasma cell leukemia and this may be important for diagnostic and treatment.

Abstract Cancer/testis antigens (CTAs), comprising the MAGE, CTAG, SSX and GAGE families, are expressed in different tumor types and restricted in normal tissues to germ cells of the testis. Many CTAs contain epitopes recognized by cytotoxic T cells and are potential targets for active immunotherapy. In MM, different CTAs have been shown to be expressed in cell lines and patient cells, and are associated with more proliferative and advance stage tumors. However, correlation with survival has never been reported. We undertook a global survey of CTA expression using gene expression profiling of CD138-enriched plasma-cell (PC) RNA in 15 normal, 101 MM, 22 MGUS and 24 SMM samples using the Affymetrix U133A chip (Affymetrix, Santa Clara, CA). 22 CTA genes were differentially expressed across the samples and unsupervised clustering using these genes clearly identifies a group of patients with high CTA expression. Most CTAs have significantly higher expression in MM as compared to SMM and especially MGUS, which has similar expression as normal PCs. As these antigens are not expressed in normal PCs, an upper limit of normal expression (ULN) was derived based on mean+3SD of expression in normal PCs for each CTA. A strict cut-off of normalized expression value greater than 2xULN was used to assign positive expression for each CTA genes. Using this method, the most commonly expressed CTAs are MAGE-A3 (73% of MM), MAGE-C1 (45%), MAGE-A6 (35%), SSX-1 (21%), GAGE-5 (18%) and NY-ESO-1 (14%). We then assigned patients with expression of more than 2 of these genes as having a CTA signature and correlated with clinical parameters. 45 patents (41 MM and 4 SMM) have the CTA signature. These patients have a significantly higher PCLI (median 0.2 v 0.7, p=0.0003). In fact, there is a significant correlation between the number of positive CTAs and PCLI (r=0.59, p<0.0001). Interestingly, there is no association between patients with a CTA signature and any of the recurrent genetic abnormalities (IgH translocations, chromosome 13 deletion and TC classes), yet MM patients with this signature have a significantly shorter survival (median 459 days vs not reached, log-rank p=0.017). A prognostic hierarchy exists amongst these CTAs. Only MAGE-A6, MAGE-A12, SSX-1 and SSX-5 expression has significant prognostic implications with the SSX family conferring the worse prognosis. Using a restricted panel of 3 CTAs (SSX-1, -5 and MAGE-A12), about 28% of MM patients expressing one or more of these genes can be identified with poor survival (median less than 1 year) that is independent of genetic subtypes. The genes differentially expressed between patients with and without the CTA signature are mainly involved in cell cycle regulation. Since the expression of this large set of CTAs appears to be under epigenetic control, we speculate that the same epigenetic processes that lead to dysregulation of the cell cycle also cause ectopic expression of CTA genes. As CTA expression is rare in MGUS, epigenetic processes may therefore also mediate transformation from MGUS to MM. These poor prognosis patients represent good candidates for novel therapies targeting the epigenetic machinery.

Abstract Hyperdiploid myeloma (H-MM) affects about 50% of MM. These patients exhibit significant karyotypic and clinical heterogeneity. In this study, we addressed possible biological heterogeneity within H-MM by gene expression profiling of CD138-enriched plasma-cell RNA from 53 H-MM patients using the Affymetrix U133A chip (Affymetrix, Santa Clara, CA). Analysis was performed using GeneSpring 7 (Agilent Technologies, Palo Alto, CA). Unsupervised hierarchical clustering performed using the top 100 most variable genes (generated by ANOVA) identifies 4 putative patient clusters. These clusters were reproduced using principal component analysis. Cluster 1 was characterized by high expression of a large group of cancer testis antigens and mitosis/proliferation related genes (TOP2A, NEK, ASPM, CENPA). Cluster 2 was characterized by high expression of genes involved in IL-6 and HGF signaling (MET, IL6R, SOCS3, SPINT1). Cluster 3 was characterized by high expression of genes involved in TNF/NF-KB signaling and anti-apoptosis (NFKB2, CFLAR, BIRC3, TNFAIP3, RRAS2). Cluster 4 was characterized by high expression of genes involve in angiogenesis (protocadherin, EDNRB). Unsupervised hierarchical clustering using the same set of genes in an independent cohort of H-MM patients (n=60) yielded the same 4 patient clusters over-expressing similar genes. The gene expression profile of these clusters were not driven by differences in trisomies (only about 25% of genes that define the clusters were located on the commonly trisomic chromosomes). Association between the 4 clusters and clinical parameters such as survival, chromosome 13 deletion (Δ13), presence of IgH translocations, PCLI, RAS mutation and p16 methylation was analyzed. Cluster 1 tumors were more proliferative (median PCLI 3.8, p<0.05). Cluster 2 was associated with presence of Δ13 (56%, p<0.05) although none of the genes that defined this cluster falls on chromosome 13. p16 methylation was also less common in cluster 2 (13%, p=0.06). Cluster 3 was associated with low PCLI (median 0.2, P<0.05). Most of the patients with p16 methylation also belonged to this cluster (67%, p=0.06). There was a complete absence of Δ13 in Cluster 4. Patients in the 4 clusters also had significantly different survival (log-rank p=0.002.). The difference in survival was independent of Δ13 since Δ13 has no impact on survival in this patient cohort. The molecular profiles of these subclasses may explain some of these associations. CTA expression is associated with proliferative tumors with poor prognosis. IL-6 is an important survival factor and HGF signaling has been associated with poor survival in MM which may explain the relative poor prognosis of this group. Cluster 3 may have better survival as it is associated with an anti-apoptotic signature rather than proliferative signature. In summary, gene expression profiling identified 4 sub-classes within H-MM (validated on an independent dataset and using different clustering techniques) with distinct clinical and biological associations. The gene signature associated with each sub-classes provide a molecular basis for the different clinical behaviour and further insights into deregulated pathways in H-MM.

Abstract Background: The inactivation of p53 by deletion of 17p13 is observed in 10% of multiple myeloma patients and is associated with shorter survival. In this study we were interested in assessing p53 function in the JMW myeloma cell line established from a patient with aggressive disease and circulating plasma cells. We characterized the plasma cells derived from the patient with the disease from the initial stage of procurement ofpatient tumor cells to permanence as a cell line. Results: At diagnosis, 95% of the cells had monosomy 17 and 4% of the cells had a FISH pattern consistent with interstitial deletion of p53 (17p13). However, we observed clonal evolution in that at 3 months from diagnosis, 70% of the patient cells exhibited a deletion of the p53 locus while 28% of the cells had a monosomy 17. This may be attributed to favored clonal expansion of the cells with the deletion of p53 (17p13). To resolve this issue we performed further interphase and metaphase FISH and found an unbalanced complex translocation resulting in LOH of 13q and 17p (der13 t(13;17)(q?;p?). In addition, we screened the remaining p53 gene for mutations by conformation-sensitive gel electrophoresis (CSGE). PCR fragments showing abnormal CSGE-banding patterns (in exons 5 and 8) were further characterized by DNA sequence analysis and we identified a G to A splice site mutation generating an alternate splice site 21 bp into exon 5. This mutation results in a mutant protein lacking amino acids 126–132 in the DNA binding domain of p53. We observed no differences in the expression level of p53 mRNA as determined by RT-PCR analysis. We determined the effect of the deletion on p53 protein expression and function. We examined the effect of DNA damage induced by UV radiation on p53 protein levels in JMW cells, using the myeloma cell line H929 (expressing wildtype p53) as a positive control for expression. The JMW cells were exposed to UV radiation (20 J/m2) and the cells were harvested for western blot analysis 5 hours after UV damage. An increase in the level of p53 protein was observed in JMW as well as the H929 cells following UV treatment. We then investigated the activation of p53 downstream targets. The CDK inhibitor p21WAF1/CIP1 is a well-characterized p53 target that mediates G1 cell cycle arrest. Thus, we examined the levels of p21 protein following UV treatment of JMW and H929 cells. Strikingly, JMW cells lacked p21 expression in untreated cells as well as UV exposed cells suggesting that the characterized deletion in the DNA binding domain is an inactivating mutation. Conclusion: Abrogation of p53 function was observed in the JMW cells. Further analysis of the p53 pathway in JMW and other myeloma cell lines will provide an in depth understanding of the role of p53 in disease progression. The study of the p53 pathway in myeloma is highly relevant, as we have shown it to be associated with relapsing and aggressive disease, particularly with extramedullary myeloma. Our studies suggest that malignant plasma cells have the ability to survive outside of the bone marrow microenvironment but a p53 dependent checkpoint results in cell death. In clones with p53 defects the cells survive and result in extramedullary disease, including plasma cell leukemia.

Abstract Hyperdiploid (>48 chromosomes) multiple myeloma (H-MM) and high hyperdiploid (>50 chromosomes) acute lymphoblastic leukemia (H-ALL) are characterized by aneuploidy and multiple recurrent trisomies (chromosome 3,5,7,9,11,15,19 for H-MM and chromosomes X,4,6,10,14,17,18,21 for H-ALL). Little is known about the oncogenic events, consequences of the trisomies and reasons for the different recurrent trisomies. In an attempt to answer these questions, we undertook a combined gene expression and network/pathway analysis approach. Gene expression data was generated using the Affymetrix U133A chip (Affymetrix, Santa Clara, Ca) for 53 H-MM and 37 non-hyperdiploid MM (NH-MM) cases using CD138-enriched plasma-cell RNA. Gene expression data using the same chip for ALL was obtained from previous published data (Ross ME et al Blood2004; 104: 3679–3687). Analysis was performed using Genespring 7 (Agilent Technologies, Palo Alto, CA). By comparing the median expression of all genes on each chromosome between H-MM/H-ALL and their non-hyperdiploid counterparts (NH-MM and NH-ALL) for the 23 chromosomes (excluding Y), one can clearly identify the commonly trisomic chromosomes in H-ALL and H-MM. However, the relationship of gene expression was highly variable for H-MM and NH-MM as compared to H-ALL and NH-ALL which tended to have expression ratios close to 1 for the non-trisomic chromosomes. Sixty-nine percent of the differentially expressed genes generated by ANOVA analysis (p<0.001) in H-ALL were on the commonly trisomic chromosomes and were upregulated whereas the corresponding figure in H-MM is 40%. These similarities and differences probably reflect both an overall gene dosage effect and the different complexities of the karyotypes of H-MM and H-ALL compared to NH-MM and NH-ALL respectively (MM karyotypes are more complex, hence difference between H and NH-MM is greater and less confined to the trisomic chromosomes). We next performed network analysis using a curated web-based software (MetaCore, GeneGo Inc, St Joseph, MI) using the 2 sets of differentially expressed genes. Majority of genes differentially expressed in H-MM are involved in mRNA translation/protein synthesis whereas the genes differentially expressed in H-ALL were mainly involved in signal transduction. Therefore the transcriptional program that characterize the difference between H and NH-MM/ALL seem to recapitulate normal cellular function: protein synthesis in the mature secretory plasma cells and signal transduction in response to cytokines in a differentiating early-B cell. However, due to the concurrent deregulation of many genes on these trisomic chromosomes, these and other cellular programs are deregulated resulting in malignant transformation. We also intersected the 2 lists of differentially expressed genes to find genes that are up- or downregulated in both H-MM and H-ALL relative to the NH tumors. Thirteen genes including interferon response genes (TNFSF10, MX1, ZNF185) and transcription factors like RUNX1 were upregulated, whereas 13 genes including a cancer testis antigen gene (MAGED4) were downregulated in both H-MM and H-ALL. These genes may point to common oncogenic mechanisms.

Abstract Background: Waldenström macroglobulinemia (WM) is a plasma cell dyscrasia characterized by a monoclonal IgM paraproteinemia. The most common genomic abnormality in the clonal cells of WM is loss of portions of the long arm of chromosome 6 (6q-), however a minimal area of deletion has yet to be identified. We decided to further clarify the area of deletion on the 6q-arm in WM along with its prevalence. Methods: Patients (n=41) were required to have a serum IgM paraproteinemia of 1.5 g/dl or greater and a monoclonal lymphoplasmacytic infiltrate. We used interphase fluorescence in situ hybridization (FISH) combined with cytoplasmic immunoglobulin (cIg) staining with an AMCA conjugated anti-IgM antibody along with cytomorphology for the detection of the clonal cells on cytospin slides. Ten probes were used including two commercial (CEP 6 and Telomere 6q) and eight Bacteria Artificial Chromosome (BAC). BAC clones were selected based on a specific gene encompassed in the insert and/or localization on the q arm. Genes of interest included BLIMP1, c-myb, BTF, SHPRH, LATS1 and FOP. BAC’s were grown in selective media; DNA was extracted and directly labeled with a SpectrumGreen or SpectrumOrange fluorophore by standard nick translation. Primers were designed to confirm the insert contained the gene of interest and probes were tested on normal metaphases to reaffirm localization to the correct area of the chromosome and rule out any cross hybridization. Results: Deletions of 6q were noted in 21 (51%) patients. Of the 19 abnormal patients with all probes tested 1 (5%) case had ten probes deleted, 7 (37%) cases had nine probes, 1 (5%) had eight, 4 (21%) had seven, 3 (16%) had six and 3 (16%) had four probes deleted. Only 3 cases retained the end of the q arm indicating an interstitial deletion while the remaining 16 cases indicate terminal deletions. Deletions of the BAC containing the gene SHPRH at 6q24 were seen in each of the 19 abnormal cases. The majority of patients exhibited little heterogeneity for any given deletion having greater than 80% involvement of the clone. Conclusion: This study demonstrates that large deletions of the long arm of chromosome 6 in WM are frequent and are usually terminal deletions rather than interstitial and have a common area of deletion of the q24 portion of the q arm. Using the given number of probes localizing along the q arm makes it highly unlikely of any areas of noncontiguous deletion. The presence of deletions in the majority of the clonal cells may suggest that clones with 6q- emerge early in the course of the disease and is selected because of growth advantage or apoptosis resistance. Whether 6q deletions are important for disease pathogenesis has yet to be determined. Clinical prognosis studies and microarray data analysis are pending.

Abstract Chromosome 13 (Δ13) abnormalities are found in greater than 50% of patients with Multiple Myeloma (MM). MM is most commonly defined by chromosome 13 monosomy or 13q loss (85%). Interstitial deletions comprise the remaining 15%. Many studies have revealed that Δ13 in MM are associated with poor survival and reduced response to therapy. Genes mapping to chromosome 13 may be involved in pathogenesis and/or progression of the disease due to loss of function from gene mutation or from epigenetic effects such as haploinsufficiency. In this study, array-based comparative genomic hybridization coupled with microarray technology (aCGH) is used to detect gene copy number loss on chromosome 13 from nine MM patient samples. Whole genome long-oligo microarrays constructed by Agilent Technologies were used which contain 40,000 genes that span the human genome with an average spatial resolution of ~75 kb. Using genomic DNA isolated from MM patients with interstitial deletions on chromosome 13, DNA was amplified, labeled and hybridized with a differentially labeled normal DNA reference to determine gene/genomic copy number changes. Arrays were analyzed to search for the minimum region of loss based upon single copy loss for a series of nearby mapping transcripts. A common region of loss of 2.2 Mb, at 13q14.2 was detected. Additionally, we investigated the correlation between genomic copy number change and the expression level for MM patients in the13q region. From an independent gene expression data set whose expression measurements were conducted with Affymetrix HG-U133A v2 microarrays, data was selected that corresponded to the samples used for current aCGH. Expression values from MM samples were divided by the mean expression values from 12 normal bone marrow samples for each gene and the resulting values were treated as surrogate ratios between MM and normal samples. Probes from both microarrays were then aligned according to their chromosomal positions and merged if their chromosomal positions overlapped. Composite chromosomal maps were generated that displayed the expression levels and copy number changes. The maps were used to differentiate chromosomal regions in 13q where copy number changes and expression levels show high correlation and regions where such correlation was not observed. Although the number of probes sampled in the expression microarray was much smaller than those in aCGH microarray, a chromosomal region of great interest, that encompasses 13q14.2, arose naturally from this analysis. Although the mechanism by which loss of 13q effects tumorigenesis in MM could be a haploinsufficiency model, we are not ruling out the presence of a tumor suppressor gene in this region. We are evaluating candidate tumor suppressor genes in the region for loss of function by mutational analysis and hypermethylation studies.

Abstract Chromosome 13 deletion (Δ13) is one the most common genetic abnormalities observed in multiple myeloma (MM) and confers a poor prognosis. Studies to identify critical tumor suppressor genes in MM till date have lack adequate resolution, and the molecular phenotype associated with Δ13 has not been established. In this study we seek to establish a molecular profile for Δ13 and to finely map the minimal common region of deletion (CDR) on chromosome 13 by using gene expression profiling (GEP) and array comparative genomic hybridization (aCGH). GEP was performed on RNA from purified plasma cells of 72 newly diagnosed MM and 50 human myeloma cell lines (HMCLs) using the Affymetrix U133A chip and U133plus chip (Affymetrix, Santa Clara, CA) respectively. Patients were assigned TC classes which correlates with underlying genetic subtypes. In addition, aCGH was performed on 79 MM samples (36 with GEP data) and 50 myeloma cell lines (HMCLs; 48 with GEP data) using a platform utilizing 60-mer oligonucleotides (Human Genome CGH 44B Oligo Microarrays, Agilent Technologies), which have a resolution of about 70Kb. Raw data was extracted using the Feature Extraction 8.1 and visualized using CGH Analytics 3.2 (Agilent Technologies). To define a signature that reflects the biological consequences of Δ13 and not its close association with some genetic subtypes of MM (example, t(4;14) and t(14;16)), we selected a training cohort consisting of cases belonging to D1, D2, 11q13 and none TC class such that cases with and without Δ13 are balanced for ploidy and TC classes (n=28). A 152-gene Δ13 signature was identified. Its specificity was confirmed by leave-one-out cross validation using the K-nearest neighbor (KNN) class prediction algorithm (predictive accuracy of 100% in the training cohort). It was subsequently validated in a validation cohort that includes t(4;14) and t(14;16) that were not use to derive this gene signature, maintaining a high predictive accuracy (88%). This gene-set may therefore reflect core transcriptional consequences of Δ13 and is enriched for genes involved in the cell cycle and apoptosis. Using aCGH, 20 patients have Δ13 (mostly whole chromosome) all involving the 13q14–q21 region. Of the 32 HMCLs with Δ13 (whole chromosome or interstitial), 22 have mono-allelic loss of RB1 whereas 4 had bi-allelic loss. Besides RB1, bi-allelic loss of several other genes in the 13q14–q21 region (CYSLTR2, CDADC1, ITM2B, PCDH9) was also observed. As the CDR is large and contains a number of genes, we utilized a set of criteria (bi-allelic loss in HMCLs, within 13q14–q21 CDR, gene expression significantly correlated with copy number, and loss could explain molecular phenotype) to narrow down the potential candidates. Only RB1 and ITM2B fulfilled these criteria. Furthermore, RB protein levels correlated well with mRNA levels and DNA copy suggesting that even in absence of mutations resulting in bi-allelic loss, mono-allelic loss of RB1 could be tumorigenic through a haploinsufficiency mechanism.