Rajkumar, S. Vincent

Abstract Hyperdiploid MM (H-MM), characterized by recurrent trisomies constitute about 50% of MM, yet very little is known about its pathogenesis and oncogenic mechanisms. Studies in leukemia and solid tumors have shown gene dosage effect of aneuploidy on gene expression. To determine the possible gene dosage effect and deregulated cellular program in H-MM we undertook a gene expression study of CD138-enriched plasma-cell RNA from 53 hyperdiploid and 37 non-hyperdiploid MM (NH-MM) patients using the Affymetrix U133A chip (Affymetrix, Santa Clara, CA). Gene expression data was analyzed using GeneSpring 7 (Agilent Technologies, Palo Alto, CA). Genes differentially expressed between H-MM and NH-MM were obtained by t-test (p<0.01). The majority of the differentially expressed genes (57%) were under-expressed in H-MM. Genes located on the commonly trisomic chromosomes were mostly (but not always) over-expressed in H-MM and constitute 76% of over-expressed genes. Chromosome 1 contained the most differentially expressed genes (17%) followed by chromosome 12 (9%), and 19 (8%). To examine the relationship of gene copy number to gene expression, we examined the expression of genes on chromosomes 9 and 15 in subjects with 2 copies (15 normal control and 20 NH-MM) and 3 copies (12 H-MM) of each chromosome as detected by interphase FISH. We then derived a ratio of the mean expression of each gene on these chromosomes between patients with 3 copies and 2 copies of the chromosome. If a simple relationship exists between gene expression and gene copy number, one would expect the ratio of expression of most genes on these two chromosomes to be about 1.5 in H-MM compared to NH-MM. However, many genes have ratios either higher than 2 or lower than 0.5. Furthermore, when the heterogeneity of cells with underlying trisomies is taken into consideration by correcting the ratio for the number of cells with trisomies, the actual ratio is always lower than the expected ratio. When the expression of genes on a chromosome was compressed to a median value, this value was always higher in the trisomic chromosomes for H-MM compared to NH-MM. The data suggests that although gene dosage influence gene expression, the relationship is complex and some genes are more gene dosage dependent than others. Amongst the differentially expressed genes with known function, 33% are involved in mRNA translation/protein synthesis. Of note, 37 of the top 100 differentially expressed genes are involved in these processes. In particular, 60 ribosomal protein (RP) genes are significantly (p<0.05) upregulated in H-MM. This signature in H-MM is not associated with increase proliferation as measured by PCLI. This predominant signature suggests that deregulated protein synthesis may be important for the biology of H-MM. Many of these RPs are involved in the synthesis of product of oncogenic pathways (e.g. MYC, NF-KB pathways) and may mediate the growth and survival of tumor cells. It is therefore possible that these tumor cells may be sensitive to the disruption of mRNA translation/protein synthesis. Targeting the mTOR pathway with rapamycin may therefore be useful for treatment of H-MM.

Abstract Background: The serum free light chain (FLC) assay is increasingly used to monitor patients (pts) with oligo-secretory or non-secretory multiple myeloma (MM) and pts with primary amyloidosis lacking measurable monoclonal protein in the serum or urine. Criteria to use this assay to assess response to therapy have recently been proposed (Rajkumar SV, Kyle RA. Best Pr Clin Haematol2005;18:585–601) but have not been validated. The goal of this study was to validate the response criteria for the FLC assay in a prospective trial of lenalidomide plus dexamethasone in newly diagnosed MM. Methods: 34 pts were enrolled in the trial; 27 pts who had serial FLC assessments were studied. FLC estimation was carried out using the serum FLC assay (FreeliteH, The Binding Site Limited, UK) performed on a Dade-Behring Nephelometer. Pts with κ /λ FLC ratio <0.26 were defined as having monoclonal λ FLC and those with ratios >1.65 as having a monoclonal κ FLC. The monoclonal light chain isotype was considered the “involved” FLC isotype, and the opposite light chain type as the “uninvolved” FLC type. Partial response (PR) required an abnormal baseline FLC ratio and any one of the two following criteria: 1) a 50% decrease in the level of the involved FLC plus a 50% decrease (or normalization) in the ratio of involved/uninvolved FLC or 2) 50% decrease in the difference between involved and uninvolved FLC levels. Complete response (CR) required normalization of FLC ratio and negative serum and urine immunofixation. Response at 4 months or earlier by the Bladé criteria was compared to FLC response criteria from the same evaluation. Results: Three pts had normal FLC levels and ratio and were not included in the analysis. 23 of the remaining 24 achieved a PR or better by Bladé criteria. A 50% decrease in the level of the involved FLC plus a 50% decrease (or normalization) in the ratio of involved/uninvolved FLC correctly classified 20 of the 22 responding pts (sensitivity 91%); 2 pts could not be evaluated since baseline FLC ratio could not be calculated. On the other hand, a 50% decrease in the mathematical difference between involved and uninvolved FLC levels correctly classified all 24 responding pts (sensitivity 100%). The one non-responding pt by Blade criteria was correctly classified by both FLC criteria. All pts were correctly classified by both criteria when only those with a baseline “involved” FLC level of at least ≥10mg/dL (≥100mg/L) were considered (15 pts). Conclusions: This study demonstrates that the serum FLC assay can be used to assess response to therapy. A 50% decrease in the difference between “involved” and “uninvolved” FLC levels will suffice as FLC criteria for PR, eliminating the need for the alternative criteria based on the involved FLC level and the ratio. We recommend that this FLC response criteria be used only in pts not having measurable levels of serum and /or urine M protein.The FLC response criteria will now enable most patients with oligo-secretory and non-secretory MM to enter trials for which they are currently ineligible due to “lack of measurable serum or urine M protein.” This study is limited by the lack of adequate non-responders to calculate specificity and lack pts who progressed to validate progression criteria and needs further validation.

Abstract Introduction: Molecular cytogenetic studies have revealed that, to a great extent, the heterogeneity of myeloma is largely dictated by the underlying genetic and cytogenetic aberrations present in the clonal plasma cells. Most recently the group from the University of Arkansas identified strong prognostic associations with an increased level of gene expression of a cell cycle associated gene, CKS1B. CKS1B favors cell cycle progression by promoting degradation of p27 with release of the cyclin dependent kinases and entry into mitosis. Patients and methods: To further test this hypothesis we studied: a) via FISH for CKS1B amplification in a cohort of patients treated at the Mayo Clinic with high dose chemotherapy and stem cell support, as well as a group of patients with cytogenetically defined hypodiploidy, and b) a cohort of myeloma patients that were studied by gene expression profiling. Gene expression analysis was performed on CD138-enriched plasma-cell RNA using Affymetrix U133A chips (Affymetrix, Santa Clara, CA). Results: Of 159 patients studied 46 exhibited FISH abnormalities consistent with increase number of signals for CKS1B (30%): amplification was marginal or low in 44 cases, and in only two cases the ratio between CKS1B and control probe was greater than 2.0. Therefore, the predominant pattern is one of gene duplication rather than amplification where gene copy usually exceeds 10 and ratio with control probe exceeds 5 (e.g. HER-2/neu amplification). Patients with CKS1B duplication had a higher prevalence of chromosome 13 deletion (72%), and t(4;14) (29%). The presence of CKS1B duplication was more frequent (53%) among 19 patients with hypodiploidy. Using gene expression data for CKS1B, we found a positive association with t(14;16)(q32;q23). The level of CKS1B gene expression positively correlated with the PCLI (p<0.0001) but there was heterogeneity in this relationship (r2 = 0.34). We found no correlation between the expression level of CKS1B and p27 (r2 = 0.008, p = 0.37). While CKS1B gene duplication had a negative effect on survival this effect was weak (29.9 versus 38 months, p = 0.124. Median follow-up is 55 months) and disappeared when the variable was entered into the multivariate model including PCLI, B2-microglobulin and all the major genetic abnormalities by FISH. Likewise the level of expression of CKS1B determined by gene expression only carried prognostic significance when extreme levels of expression were utilized as a prognostic variable. Discussion: In this study we show that increase copy number of CKS1B is present in one third of patients with MM (majority of these being gene duplication) and seem to be associated with a shorter overall survival, but the net effect of this is rather weak in our series. Further study is needed to understand its potential role as a progression factor in the plasma cell neoplasms.

Abstract Background: Clonal cytogenetic aberrations define multiple myeloma (MM) into unique subsets of the disease each one with unique clinical and biologic features, associations with laboratory and pathologic markers and presumed differential influence on disease progression. While it is widely accepted that translocations represent primordial events in the pathogenesis of MM, it is controversial whether all translocations can be associated with disease stability and non-malignant behavior (i.e. in MGUS/SMM). We have found the translocations in cases of MGUS using dual fusion, cIg enhanced, interphase FISH, while others have found this translocation at lower prevalence using single fusion interphase FISH or the RT-PCR for IgH/MMSET. We thus sought to clarify by expanding the study of the t(4;14) among patients with MGUS and SMM. Materials and methods: We studied 210 patients who had the diagnosis of MGUS and SMM and entered into the Mayo Clinic Dysproteinemia database. Patients were excluded if they had active MM, extramedullary disease or plasmacytoma. Patients with isolated lytic bone lesions could be included if they had no overt evidence of progression. All studied patients had provided written informed consent for the collection of a research bone marrow aliquot that was collected at the time of routine bone marrow procurement. All patients had cytospin slides that were studied for a t(4;14) using cIg-FISH as previously described by us and using a double fusion FISH strategy. The importance of this is that the strategy will detect unbalanced t(4;14) with loss of der(14). Results: Twenty patients (9.5%) had evidence of the chromosome translocation. Detailed demographic data was available in 19; 14 were women (74%), 13 of 19 (68%) had SMM and there was no bias for heavy chain IgA (26%). Patients with t(4;14) were slightly younger than those without the abnormality (52 vs. 61 years), had similar hemoglobin concentrations, had slightly higher concentration of the serum M spike (2.0 vs 1.75 g/dl) and had overall slightly higher bone marrow plasmacytosis (median 23% vs 10%). Patients were followed since diagnosis for a median of 33 months (range 2–162 months). Three patients progressed to active MM at 12, 12 and 26 months after original diagnosis (all three originally having indolent/SMM). Conclusion: The t(4;14) can occur in patients with MGUS and SMM and without evidence of progression to MM. The prevalence is similar to that observed in MM, albeit slightly lower (9.5% versus 14%). In most “benign” plasma cell neoplasms the translocation is associated with greater plasmacytosis and thus enriched for in the smoldering MM category. It is also likely that the t(4;14) confers a higher risk of progression to MM given; a) its enrichment in SMM, b) the slightly higher prevalence of the translocation in MM as opposed to MGUS/SMM, and c) the well documented aggressive clinical course of MM with t(4;14).

Abstract Background: Multiple myeloma is a plasma cell malignancy that remains incurable with current approaches and newer therapies are needed to improve the outcome of patients with MM. While monoclonal antibody base therapies have been successful in some of the hematological malignancies, especially lymphoma, such approaches have not been very useful in the setting of myeloma. Targeting of antigens like CD138 on the myeloma cell surface has been hampered by the ubiquitous nature of this protein in the body. Thymoglobulin (polyclonal rabbit antithymocyte globulin, Genzyme) has been extensively evaluated in the setting of allogeneic blood and marrow transplantation and is currently in clinical use. Given the polyclonal nature of this product, it has antibodies against several B cell antigens and forms the rationale for its evaluation in B cell malignancies like myeloma. Methods: MM cell lines were cultured in RPMI 1640 containing 10% fetal bovine serum supplemented with L-Glutamine, penicillin, and streptomycin. The KAS-6/1 cell line was also supplemented with 1 ng/ml IL-6. Cytotoxicity following drug treatment was measured using the MTT viability assay. Drug induced apoptosis in the cell lines was measured by flow cytometry after staining with Annexin V-FITC and propidium iodide (PI). Apoptosis in primary patient derived plasma cells following treatment was measured after staining for Apo 2.7. Results: rATG was cytotoxic in vitro to several MM cell lines (RPMI 8226, U266, OPM1, OPM2) including the IL-6 dependent cell line Kas6/1. The LC50 in most of the cytotoxicity assays was around 1 mg/mL. Additionally, rATG was cytotoxic MM cell lines resistant to conventional agents such as doxorubicin (Dox40), melphalan (LR5) and dexamethasone (MM1R). The drug retained its cytotoxicity when myeloma cells were grown in the presence of various cytokines like IL-6, IGF-1 and VEGF. rATG treatment resulted in a time and dose dependent induction of apoptosis in MM cell lines. rATG was also able to induce apoptosis of freshly isolated myeloma cells from patient marrows. When tested in combination with other anti-myeloma agents an additive effect was seen with doxorubicin, PS341 and melphalan. Conclusions: Thymoglobulin appear to have in vitro activity against various myeloma cell lines as well as patient derived primary myeloma cells. Ability of the drug to overcome resistance to conventional drugs as well as the effect of combining rATG with these agents points towards non-overlapping mechanisms of action. Ongoing studies are trying to identify the particular B-cell antigens that are targeted by correlating response to expression of various B cell antigens expressed by these cell lines. These studies will provide the rational for future clinical development of this agent in myeloma alone or in combination with other agents.

Abstract Background: Multiple myeloma (MM) is a plasma cell proliferative disorder that is incurable with the currently available therapeutics. New therapies based on better understanding of the disease biology are urgently needed. MM is characterized by accumulation of malignant plasma cells predominantly in the bone marrow. These plasma cells exhibit a relatively low proliferative rate as well as a low rate of apoptosis. Elevated expression of the anti-apoptotic Bcl-2 family members has been reported in MM cell lines as well as in primary patient samples and may be correlated with disease stage as well as resistance to therapy. ABT-737 (Abbott Laboratories, Abbott Park, IL) is a small-molecule inhibitor designed to specifically inhibit anti-apoptotic proteins of the Bcl-2 family and binds with high affinity to Bcl-XL, Bcl-2, and Bcl-w. ABT-737 exhibits toxicity in human tumor cell lines, malignant primary cells, and mouse tumor models. We have examined the in vitro activity of this compound in the context of MM to develop a rationale for future clinical evaluation. Methods: MM cell lines were cultured in RPMI 1640 containing 10% fetal bovine serum supplemented with L-Glutamine, penicillin, and streptomycin. The KAS-6/1 cell line was also supplemented with 1 ng/ml IL-6. Cytotoxicity of ABT-737 was measured using the MTT viability assay. Apoptosis was measured using flow cytometry upon cell staining with Annexin V-FITC and propidium iodide (PI). Flow cytometry was also used to measure BAX: Bcl-2 ratios after ABT-737 treatment and cell permeabilization with FIX & PERM (Caltag Laboratories, Burlingame, CA) Results: ABT-737 exhibited cytotoxicity in several MM cell lines including RPMI 8226, KAS-6/1, OPM-1, OPM-2, and U266 with an LC50 of 5-10μM. The drug also had significant activity against MM cell lines resistant to conventional agents such as melphalan (LR5) and dexamethasone (MM1.R) with similar LC50 (5-10 μM), as well as against doxorubicin resistant cells (Dox40), albeit at higher doses. Furthermore, ABT-737 retained activity in culture conditions reflective of the permissive tumor microenvironment, namely in the presence of VEGF, IL-6, or in co-culture with marrow-derived stromal cells. ABT-737 was also cytotoxic to freshly isolated primary patient MM cells. Time and dose dependent induction of apoptosis was confirmed using Annexin V/PI staining of the MM cell line RPMI 8226. Flow cytometry analysis of cells treated with ABT-737 demonstrated a time and dose dependent increase in pro-apoptotic BAX protein expression without significant change in the Bcl-XL or Bcl-2 expression. Ongoing studies are examining the parameters and mechanisms of ABT-737 cytotoxicity to MM cells in more detail. Conclusion: ABT-737 has significant activity against MM cell lines and patient derived primary MM cells in vitro. It is able to overcome resistance to conventional anti-myeloma agents suggesting a different mechanism of toxicity that may replace or supplement these therapies. Additionally, it appears to be able to overcome resistance offered by elements of the tumor microenvironment. The results of these studies will form the framework for future clinical evaluation of this agent in the clinical setting.

Abstract While there are certain common clinical features in myeloma, the disease shows significant heterogeneity with regard to disease progression, and responses to therapy, affecting both survival and toxicities. Heritable variations in a wide variety of genes and pathways affecting cellular functions and drug responses likely impact patient outcomes. In the Bank On A Cure (BOAC) program we have developed a custom chip that assesses 3,404 SNPs representing variations in cellular functions and pathways that may be involved in myeloma progression and response. The chip has gone through rigorous quality controls checks for high call rates, accuracy, and reproducibility that will be presented. Using the BOAC chip, we have conducted studies to look for SNPs that may identify biologic variations that are associated with good or poor response across a variety of treatments. In this study we looked for SNPs that may distinguish short term and long term survivors in two phase III clinical trials: ECOG E9486 and intergroup trial S9321. E9487 patients were treated with VBMCP followed by randomization to no further treatment, IFN-alpha, or cylcophosphamide; and, although there was variation in survival, no significant differences in survival were noted among the 3 arms of the trial. Patients included in this SNP study from S9321 received VAD induction followed by randomization to VBMCP or high dose melphalan + TBI. SNP profiles were obtained for patients with less than 1 year EFS (n=20 in E9487; n=50 in S9321) and patients showing greater than 3 years EFS (n=32 in E9486; n=41 in S9321). Statistical approaches were performed to identify single and groups of SNPs that best discriminated the survival groups. Previous studies have suggested genetic variations in drug metabolism genes, p-glycoprotein transport, and DNA repair genes may influence survival outcomes. Our results show significant survival associations of genetic variations in genes within these functional categories (eg. GST, XRCC, ABCB, and CYP genes). Although genetic variations were found that were uniquely associated with each clinical trial, several of these genetic variations show survival associations that increase in significance when the two trials were examined as a conglomerate data set. Grouping genetic variations through common pathway approaches using gene set enrichment analysis, as well as clustering or partitioning algorithms, further improve the value of the SNPs as potential prognostic markers of survival outcomes. These results and statistical approaches will be presented, and represent steps toward identifying patient variations in biologic mechanisms important in predicting therapeutic outcomes.

Abstract Background: Multiple myeloma (MM) is a plasma cell proliferative disorder that results in considerable morbidity and mortality. As it is incurable with the current therapeutic approaches, more effective therapies based on better understanding of the pathobiology of the disease are needed. In MM, malignant plasma cells are characterized by low proliferative and apoptotic rates compared to other malignancies. Studies have shown elevated expression of anti-apoptotic proteins of the Bcl-2 family in MM cells, which appear to correlate with resistance to therapy with certain drugs. Hence, accelerating the apoptotic process by targeting the Bcl-2 family of proteins appears to be an attractive strategy for the treatment of MM. AT-101 is an orally bioavailable derivative of gossypol in cancer clinical trials, and is being developed by Ascenta Therapeutics. AT-101 behaves as a small molecule inhibitor of Bcl-2 and Bcl-XL, binding to the BH3-binding pocket of these proteins and inhibiting their ability to suppress the activity of pro-apoptotic proteins, resulting in apoptosis. Methods and Results: AT-101 was cytotoxic to several different myeloma cell lines with a median effect observed at around 5μM concentration using an MTT cell proliferation assay. Additionally, at similar doses AT-101 induced cytotoxicity in myeloma cell lines resistant to conventional agents such as Melphalan (LR50), Doxorubicin (Dox40) and Dexamethasone (MM1.R), indicating non-overlapping mechanisms. To evaluate the ability of the drug to induce cell death in the tumor microenvironment, MM cells were co-cultured with marrow stromal cells or in the presence of VEGF or IL-6, two cytokines known to be important for myeloma growth and survival. AT-101 was cytotoxic to myeloma cells under these conditions as well with a median effect at concentrations of 5–10μM. AT-101 was able to induce apoptosis in myeloma cells in a dose- and time dependent fashion, as demonstrated by flow cytometry using Annexin/PI staining as well as cell cycle studies. AT-101 also resulted in cytotoxicity of freshly isolated primary patient myeloma cells, inducing apoptosis in a dose dependent manner. We also studied the effect of AT-101 on levels of different pro- and anti-apoptotic proteins using flow cytometry on permeabilized cells. A time-dependent increase in the level of BAX was observed following treatment with AT-101 without any associated change in levels of Bcl-xL or Bcl-2. Further studies evaluating the combination of AT101 with other active myeloma agents as well as a detailed evaluation of its mechanisms in myeloma are ongoing. Conclusion: AT-101 has significant activity in vitro in the setting of myeloma as demonstrated by its effect on myeloma cell lines and primary patient cells. More importantly, it has activity against cell lines resistant to conventional anti-myeloma agents. In addition, Phase I studies with this agent are currently ongoing in patients with solid tumors. The results from these studies form the rationale for early phase clinical trials in MM, either alone or in combination with other active therapies.

Abstract Background: Abnormally increased tumor associated neovasculature plays an important role in tumor progression in solid tumors and hematological malignancies. In multiple myeloma (MM) bone marrow angiogenesis, measured in terms of microvessel density (MVD), has prognostic value, and appear to increase with disease progression from monoclonal gammopathy of undetermined significance to relapsed MM. We have shown that MVD has prognostic value in patients with newly diagnosed MM including patients undergoing upfront high dose therapy and stem cell transplantation, but comparison with other known prognostic factors has been limited by sample size. It is also not known whether the MVD adds prognostic value once the recently described International Staging System (ISS) is applied. The goal of this study was to determine the prognostic effect of bone marrow MVD in newly diagnosed MM relative to the ISS and other known prognostic factors. Methods: We studied 400 patients with newly diagnosed MM seen at the Mayo Clinic between March of 1988 and December 2001. Sections from bone marrow biopsy blocks from the time of initial diagnosis were studied by immunohistochemistry using antibodies against CD34 antigen to high light the endothelial cells. Under low power (100X); three areas with maximum number of microvessels (hotspots) were identified. Each of these areas was further studied at 400X magnification and the number of microvessels per high power field counted. The average of the three readings was taken as the MVD for the sample. In addition, the samples were graded as low, intermediate or high by using a visual estimate as previously described. Additional clinical data was extracted from medical records. Some of the patients have been included in previous studies related to angiogenesis. Results: A total of 400 patients in whom a bone marrow biopsy from within 30 days of diagnosis was available were studied. The pts were followed for a median of 37 months (Range: 1 month to 16.5 years) and 318 pts (80%) had died at the time of this analysis. The median MVD for the entire group was 14.7 (Range 0–168). The median overall survival for the three groups according to the MVD grade was lower for the high grade group (31.9 months) compared to the intermediate grade group (37.2 months) and the low grade group (not reached); P <0.029, log rank test. We examined this group of patients for other factors prognostic for overall survival. Factors significant on univariate analysis included ISS stage, platelet count (<150 vs. >= 150 X 106/L), and plasma cell labeling index (<1 vs >=1). In a multivariate analysis using these variables and MVD as a continuous variable, high MVD and the ISS staging system were significantly associated with poorer survival (Table). Conclusion: In this large group of pts with newly diagnosed MM, we confirm the prognostic value of increased bone marrow angiogenesis. We examined the MVD as a continuous variable in the multivariate analysis for a closer evaluation of this measure in this comparison. More importantly, the prognostic value appears to be independent of the ISS and other major prognostic factors. The resultsof this study reinforces the biological relevance of this finding in MM. HR 95% CI P value MVD 1.006 (1.001, 1.011) 0.0279 ISS Stage I 0.37 (0.25, 0.56) <0.001 ISS Stage II 0.58 (0.41, 0.83) 0.0025

Abstract Introduction: Increased bone marrow angiogenesis is a characteristic feature of multiple myeloma (MM) and correlates with disease progression. Increased bone marrow angiogenesis at the time of diagnosis, measured in terms of microvessel density (MVD), is a powerful adverse prognostic factor for patients with MM. To better understand the biological basis of this phenomenon and to understand the mechanisms responsible for increased MVD in MM we compared the gene expression profiles of plasma cells from newly diagnosed MM patients with low and high MVD. Methods: Bone marrow biopsy sections from pts with newly diagnosed MM were studied using CD34 immunostaining and graded as low, intermediate, or high by MVD as previously described. 19 pts each, with low or high MVD were included for this study. RNA was isolated from CD138+ plasma cells of MM patients and analyzed using Affymetrix HG-U133A arrays. To examine differential expression, GC-RMA normalized data was analyzed using GeneSpring 7.2 software and genes with ≥ 2-fold differential expression between high and low MVD samples were identified. The Welch T-test was used to determine the significance of differential expression. Results and Conclusion: Expression of 42 transcripts was increased ≥ 2-fold in samples with high MVD in comparison to samples with low MVD. Of these transcripts, 14 were found to be significantly increased (P<0.05) using the Welch T-test (see Table 1). Expression of 16 transcripts was decreased ≥ 2-fold in samples with high MVD in comparison to samples with low MVD. Of these transcripts, 6 were found to be significantly decreased (P<0.05) using the Welch T-test (see Table 1). Genes differentially expressed include those involved in inhibiting apoptosis, facilitating IL-6 signaling, ion transport, extracellular matrix interaction, and regulating gene expression. Classical angiogenesis genes including VEGF, FGF, and IGF were not found to be differentially expressed (> 2-fold). In conclusion, the list of differentially expressed genes reveals many functions relevant to MM disease pathology including proliferation, apoptosis, regulation of gene expression, cytokine signaling, and adhesion. Current studies evaluating the expression and function of these genes in relation to MM may identify factors critical for angiogenesis and MM progression and provide insight for therapeutic intervention. Gene Description Fold Change COL1A2 collagen, type I, alpha 2 3.008 MCL1 myeloid cell leukemia sequence 1 (BCL2-related) 2.793 209183_s_at chromosome 10 open reading frame 10 2.541 VIL2 villin 2 2.478 IL6ST interleukin 6 signal transducer (gp130) 2.404 CLIC2 chloride intracellular channel 2 2.364 DEPDC6 DEP domain containing 6 2.35 PBXIP1 pre-B-cell leukemia transcription factor interacting protein 1 2.337 CLIC4 chloride intracellular channel 4 2.334 CYP51A1 cytochrome P450, family 51, subfamily A, polypeptide 1 2.095 LIMS1 LIM and senescent cell antigen-like domains 1 2.091 YWHAE tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, epsilon polypeptide 2.042 OAS1 2′,5′-oligoadenylate synthetase 1, 40/46kDa 2.031 S100A11 S100 calcium binding protein A11 2.018 222378_at unknown transcribed sequences 0.496 SLC5A3 mitochondrial ribosomal protein S6 0.463 213089_at unknown transcribed sequences 0.406 PDE4B phosphodiesterase 4B, cAMP-specific 0.454 SVIL supervillin 0.386 RIPX rap2 interacting protein x 0.383