Kimlinger, Teresa K.

Abstract Background: IL-6 is important for proliferation and inhibition of apoptosis in malignant plasma cells. Understanding the role of IL-6 receptor alpha chain (CD126) in the pathogenesis of plasma cell disorders may help in developing future treatment therapies for these diseases. A previous study has shown that CD126 (alpha subunit of IL-6 receptor) is expressed distinctly in myeloma, monoclonal gammopathy of unknown significance (MGUS), and plasmacytomas when compared to normal. We performed this study in order to confirm and describe the expression of CD126 in different plasma cell disorders. Design and Methods: Using flow cytometry we assessed CD126 expression on clonal plasma cells from patients with Primary Amyloidosis (n=7), monoclonal gammopathy of undetermined significance (MGUS) (n=13), smoldering Myeloma (SMM) (n=19) and active Myeloma (n=22), as well as normal plasma cells (n=9). Plasma cells were identified by their characteristic CD38/45 expression. The expression of CD126 was separately analyzed on the CD45 positive and negative plasma cells. CD 126 expression was considered significant when more than 20% of the cells had expression. Results: CD126 expression was seen distinctly in plasma cell disorder plasma cells and not in normal plasma cells when all plasma cells were studied together. The highest expression percentages were found in Amyloid (28%) followed closely by MGUS 29(%), then SMM (23%), and Myeloma (12%) cells. The CD45 neg subset was similarly positive in the plasma cell disorder group. In this group, MGUS showed the highest expression percentage followed distantly by Amyloid, Myeloma, and SMM. The CD45 pos subset was uniformly positive in expression of CD126. If was found that this subset expressed higher levels of CD126 in all the studied plasma cell disorders and normal plasma cells when compared to the CD45 neg subset. Conclusion: The findings of this study confirm the increased expression of CD126 in plasma cell disorders when compared to normal plasma cells. The higher expression of CD126 in the CD45 pos plasma cell subset has not been previously described. In addition, the CD45 pos subset expressed higher levels of CD126 in all study groups when compared to the CD45 pos subset. This data contributes to the understanding of IL-6 receptor physiology and confirms the important role of the CD45 pos subset in the proliferation of neoplastic plasma cells. The findings are in accordance with the increased proliferative rates seen in the CD45 fraction of malignant plasma cells.

Abstract Background: Although microvessel density increases significantly from monoclonal gammopathy of undetermined significance (MGUS) to multiple myeloma (MM), we have been unable to demonstrate an increase in expression of VEGF by isolated plasma cells between MGUS and MM (add your Blood ref). When MM cell lines are grown in co-culture with marrow derived stromal cells there is upregulation of VEGF and IL6. This effect is thought to be mediated primarily by the stromal cells, although plasma cells can also secrete these cytokines to form an autocrine pathway. We examined if there is differential expression of VEGF when plasma cells derived from various stages of plasma cell disorders (MGUS, smoldering multiple myeloma (SMM), and MM) are studied in co-culture with stromal cells. Methods: Plasma cells were obtained from fresh marrow aspirates from patients with MGUS, SMM or MM. Normal control plasma cells were obtained at the time of orthopedic surgeries. Plasma cells were isolated from whole marrow using a magnetic bead separation technique with antibodies against CD138. The marrow stromal cells were obtained from an established stromal cell line from a patient with MGUS. Plasma cells were then grown in co-culture with stromal cells, with control wells having either only stromal cells or only plasma cells, with RPMI medium containing 10% fetal bovine serum. The supernatant was removed after 48 hour cultures, spun down to remove cells and frozen at −70C. VEGF and IL6 levels were determined using ELISA kits (R&D, Minneapolis, MN). Results: A total of 71 samples were studied including normals (10), MGUS (8), SMM (15) and MM (38). The median VEGF levels with plasma cells alone were 30.2 pg/mL (range; 16–132), with stromal cells alone was 737 pg/ml (316–1826) and with the co-culture was 1057 pg/mL (306–4267), representing a median increase of 41% (−48% to 331%) with co-culture. There was no significant difference between the disease groups in terms of the baseline VEGF secretion by plasma cells or the increase in VEGF with coculture (Figure). The median IL-6 levels with plasma cells alone were 22.3 pg/mL (range; 4–276), with stromal cells alone was 2457 pg/ml (906–5359) and with the co-culture was 5982 pg/mL (301–129,000), representing a median increase of 99% (−67% to 3362%) with co-culture. There was no significant difference between the disease groups in terms of the baseline VEGF secretion by plasma cells or the increase in VEGF with coculture (Figure). Conclusions: In this study we clearly demonstrate the upregulation of VEGF and IL-6 when primary cells are grown in contact with marrow derived stromal cells validating previous observations with cell lines, and once again highlighting the importance of these cytokines and the marrow microenvironment. However, since there is no significant difference between the various groups studied, higher absolute levels of VEGF and IL-6 in MM may be solely related to the effect of an increased tumor burden on marrow stromal cells. However, this does not exclude differences between disease stages in terms of the marrow stromal cells, which we are currently studying. Figure Figure

Introduction: While the molecular target of immunomodulators such as pomalidomide (POM) and lenalidomide (LEN) has been identified, the mechanisms underlying therapeutic resistance remain incompletely understood. The uniformly emerging resistance to therapy over time in the absence of identifiable cereblon pathway mutations in the majority of patients raises questions about alternative mechanisms including aberrant gene expression. Methods: We performed gene expression profiling using an Affymetrix GeneChip Human Genome U133 Plus 2.0 microarray on CD138+ bone marrow cells from patients with relapsed / refractory (RRMM) and newly diagnosed (NDMM) multiple myeloma prior to initiating treatment. Patients were treated on two phase II clinical trial protocols (MC0789: POM ± dexamethasone in RRMM; MC0884: LEN ± dexamethasone in NDMM) between 2007 and 2012. We categorized patients based on their IMWG response as non-responders (SD) and responders (VGPR+). We selected 15 responders and 15 non-responders from MC0789 (n = 30) and compared overall survival, gene expression patterns, and involved cellular pathways between the two groups. We selected 5 responders and 5 non-responders from MC0884 (n = 10) for targeted validation of differentially expressed candidate genes. After data quality control and normalization of gene expression values, differential gene expression was estimated using limma. Statistical significance was adjusted for multiple testing in the discovery set using a false discovery rate-based approach for genome-wide experiments (q-value). We used Gene Ontology and PANTHER pathway analysis for functional annotation of differentially expressed genes. Overall survival estimates were calculated using the Kaplan-Meier method. Computation and visualization were performed in R. Results: Median age at treatment initiation on MC0789 was 65 years (40 - 82), 65% of the patients were male. Pomalidomide resistance was associated with an increase in mortality (median overall survival 1.6 versus 6.4 years, p = 0.009, Kaplan-Meier plot). There were 1076 differentially regulated genes between responders and non-responders (521 up- and 555 down-regulated, q < 0.050 for all genes, volcano plot). Expression of CRBN was 1.5-fold down-regulated in non-responders (q = 0.005). Supervised hierarchical clustering of the top 500 differentially expressed genes demonstrated distinct patterns in pomalidomide-resistant disease (heatmap). Gene ontology analysis revealed protein synthesis as one of the most enriched biological processes (bar graph). Pathway analysis showed a 6-fold enrichment (FDR = 0.007) of the ubiquitin proteasome pathway in pomalidomide-resistant disease. Differentially expressed genes involved key protein degradation pathways, epigenetic modifiers, and transcription factors. Targeted validation in MC0884 revealed 13 common genes with at least 1.5-fold differential expression (5 up- and 8 down-regulated), 12 of which have previously been implicated in the regulation of apoptosis, tumor glucose metabolism, Rho and Wnt signaling, miRNA-driven resistance to chemotherapy, and ubiquitin-dependent protein degradation (Table and Sankey diagram). The most up-regulated gene in non-responders was MYRIP, a gene coding for a vesicle trafficking protein associated with platinum resistance and suppression of pro-apoptotic BCL-2 family members in solid malignancies. The most down-regulated gene was FRZB, a gene coding for a negative regulator of Wnt signaling, previously implicated in the progression of monoclonal gammopathy of undetermined significance to multiple myeloma. Conclusions: Overall survival of patients with pomalidomide-resistant RRMM remains poor. Pomalidomide resistance was associated with differential gene expression in several potentially targetable cellular pathways beyond the known drug target cereblon. Targeted validation of candidate genes revealed common cellular pathways in immunomodulator-resistant disease. Elucidating the exact molecular mechanisms underlying immunomodulator resistance is of considerable interest for biomarker development and the identification of novel therapeutic targets and warrants further exploration. Figure Disclosures Lacy: Celgene: Research Funding. Dispenzieri:Celgene: Research Funding; Alnylam: Research Funding; Intellia: Consultancy; Janssen: Consultancy; Pfizer: Research Funding; Akcea: Consultancy; Takeda: Research Funding. Kumar:Takeda: Research Funding; Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding.

Introduction: Recent advancements in the treatment of multiple myeloma (MM) have centered on engaging the immune system to target multiple myeloma cells. Although these therapies are being combined with immunomodulatory imide drugs (IMiDs) and corticosteroids, the individual contributions of these drugs on the immune system of MM patients has not been examined in the upfront setting. In this study, we examined the peripheral blood immunophenotypes of newly diagnosed multiple myeloma (NDMM) patients receiving the IMiD lenalidomide with or without the corticosteroid dexamethasone. Methods: To characterize immunophenotypes, we utilized flow cytometry to profile white blood cell populations from 35 patients enrolled in a clinical trial testing the efficacy of lenalidomide with and without dexamethasone in NDMM (NCT00772915). In this trial, all patients were initiated on single-agent lenalidomide. Dexamethasone was initiated in patients that did not meet desirable responses or for disease progression. At each cycle, peripheral blood was stained with a 17-marker antibody panel against several immune lineages and functional surface markers. We grouped patients into two groups: 1) lenalidomide alone or 2) lenalidomide with dexamethasone according to their treatment regimen at each cycle timepoint. Results: First we confirmed anti-myeloma cell activity for both groups by measuring a steady decline in circulating plasma cells in both groups. Examining peripheral blood immunophenotypes showed an expected decrease in T cells and a smaller decrease in B cells in both groups of patients. Closer inspection of B cell populations revealed a switch towards a more immature B cell phenotype in both treatment groups. This was measured as a switch from CD19-CD20+ cells to CD19+CD20- B cells. Inspection of T cell subsets revealed that patients receiving single-agent lenalidomide had a sustained decrease in the levels of CD4+ T cells and increase in the levels of CD8+ T cells. This was seen in both naïve and regulatory T cells evidenced by a decrease in the CD4/CD8 ratio among CD28+ T cells as well as CD25+ T cells. Importantly, this alteration did not lead to sustained alterations in the overall level of CD25+ or CD28+ T cells, and the addition of dexamethasone reverses this trend. In addition to the effects seen on T and B cell numbers, we detected expansions of NK cell populations in patients receiving lenalidomide alone. This expansion is detected as an overall increase in CD56+ mononuclear cells with the majority of cells being CD56+CD3- cells. Conclusions: Our data show that lenalidomide and dexamethasone therapy have shared but distinct effects on peripheral blood immunophenotypes in NDMM. Both drugs alter B cells numbers and populations leading to an expansion of CD19+CD20- B cells. However, lenalidomide alone decreases the CD4/CD8 T cell ratio; and, lenalidomide more strongly expands NK cell populations. The addition of dexamethasone reverses this trend and leads to a restoration of the CD4/CD8 ratio. This suggests that lenalidomide without dexamethasone might be counterproductive in immunotherapies intended to recruit CD4+ T cells. Conversely, lenalidomide alone could increase the efficacy of immunotherapies dependent on NK cell recruitment such as antibody-dependent cellular cytotoxicity (ADCC). This information may benefit future investigations of immune responses in MM patients and improve the adoption of immunotherapies to MM patients. Figure Disclosures Kumar: Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding.

Introduction: High-risk multiple myeloma can be defined by the presence of specific cytogenetic abnormalities (structural) or by characteristic changes in bone marrow and peripheral blood biomarkers (functional). While both entities are characterized by therapeutic resistance, frequent disease relapses, and adverse survival outcomes, the underlying molecular mechanisms remain incompletely understood. Methods: We performed gene expression profiling (GEP) using an Affymetrix GeneChip Human Genome U133 Plus 2.0 microarray on CD138+ bone marrow cells from 137 patients diagnosed with multiple myeloma between 2004 and 2012. All patients underwent Fluorescence In-situ Hybridization (FISH) evaluation, plasma cell labeling, International Staging System (ISS) risk stratification, and GEP prior to initiating treatment with novel agents. The presence of del(17p), t(4;14), t(14;16), and t(14;20) on FISH, a plasma cell labeling index (PCLI) > 2%, and ISS stage III were considered high-risk abnormalities: FISH-HR (n = 15, structural high-risk, at least one high-risk FISH lesion), PCLI-HR (n = 20; functional high-risk, PCLI > 2%), and ISS-HR (n = 12; functional high-risk, ISS stage III). For each HR group we sampled standard risk (SR) controls in a 4:1 ratio. After data quality control and normalization, differential gene expression was estimated using limma. Statistical significance was adjusted for multiple comparisons using a false discovery rate-based approach for genome-wide experiments (q-value). We employed PANTHER pathway analysis for the differentially expressed genes in each HR group. We implemented a simple gene expression score (GES) by calculating the sum of quartiles of the normalized gene expression values for genes differentially expressed in more than one HR group (GES = ΣUP(quartile - 1) + ΣDN(4 - quartile)) and externally validated its prognostic significance (UAMS TT2 / TT3, GSE24080). Survival outcomes were analyzed using the methods described by Kaplan, Meier, and Cox. Computation and visualization were performed in R. Results: Median age at diagnosis was 63 years (32 - 87), 53% of the patients were male. High-risk disease was associated with inferior overall survival, regardless of the used definition (left Kaplan-Meier plots): FISH-HR (HR 4.3, 95% CI 1.9 - 9.8, p < 0.001), PCLI-HR (HR 2.7, 95% CI 1.4 - 5.3, p = 0.004), and ISS-HR (HR 2.8, 95% CI 1.2 - 6.5, p = 0.015). There were 59 (FISH-HR), 424 (ISS-HR), and 507 (PCLI-HR) differentially expressed genes (q < 0.050 for all genes, volcano plots). PCLI-HR and FISH-HR demonstrated a predominance of transcriptional up-regulation while ISS-HR had a balanced gene expression profile with a similar number of genes being up- and down-regulated. The involved cellular pathways were different across the HR groups except for anti-apoptotic signaling (bar graphs). All HR groups had distinct gene expression profiles with no complete overlap between all HR groups. There were 71 genes with overlap between two HR groups (69 up-regulated, 2 down-regulated, Venn diagrams). The median GES was 97 (18 - 206, higher numbers indicating higher expression of up-regulated and lower numbers of down-regulated high-risk genes) in 559 patients treated on UAMS TT2 / TT3 (GSE24080). Tertiles of the GES were associated with event-free survival (HR 1.4, 95% CI 1.2 - 1.6, p < 0.001) and remained independently prognostic after adjusting for age, sex, and ISS stage (HR 1.3, 95% CI 1.1 - 1.5, p < 0.001). Conclusions: High-risk multiple myeloma remains associated with inferior overall survival, regardless of the used definition (structural or functional). The subtypes of high-risk disease have distinct gene expression profiles and involve different cellular pathways, providing important clues to the underlying biology. A 71 gene signature derived from the different high-risk subtypes was of prognostic significance in a clinical trial population after adjusting for known prognostic factors. Figure Disclosures Lacy: Celgene: Research Funding. Dispenzieri:Akcea: Consultancy; Intellia: Consultancy; Janssen: Consultancy; Pfizer: Research Funding; Takeda: Research Funding; Celgene: Research Funding; Alnylam: Research Funding. Stewart:Takeda: Consultancy; Seattle Genetics: Consultancy; Roche: Consultancy; Ono: Consultancy; Celgene: Consultancy, Research Funding; Ionis: Consultancy; Janssen: Consultancy, Research Funding; Oncopeptides: Consultancy; Amgen: Consultancy, Research Funding; Bristol Myers-Squibb: Consultancy. Bergsagel:Celgene: Consultancy; Ionis Pharmaceuticals: Consultancy; Janssen Pharmaceuticals: Consultancy. Kumar:Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding.

Abstract Background: Folate receptor (FR) is a recently recognized tumor marker that is being investigated for targeted delivery of drugs, imaging of cancer cells, and tumor immunotherapy. The small size of the molecule, simple conjugation chemistry and lack of immunogenicity make folate an ideal candidate for targeted delivery to tumors bearing the FR (Lu Y, Low PS. Folate-mediated delivery of macromolecular anticancer therapeutic agents. Adv Drug Deliv Rev. 2002 Sep 13;54(5):675–93). FR is overexpressed in 90% of ovarian cancers and in other human tumors including endometrial, colorectal, breast, and neuroendocrine carcinomas, it is negatively or only weakly expressed in most normal tissues including some myeloid cells. In view of the above we wished to learn if overexpression of FR by marrow plasma cells (PC) might differentiate MM from MGUS and SMM. Methods: We obtained marrow biopsy sections from 20 patients each with MM, MGUS, or SMM, and 11 normals and stained them by immunohistochemistry using a FR-beta antibody. Expression was graded 0 (negative), 1 (equivocal), 2 (positive) or 3 (strong positive) based on immunohistochemical staining of marrow PC. We recorded the percent PC, percent positive PC, and the staining of other cell types including myeloid, erythroid, lymphocytes, macrophages, megakaryocytes and control tissues. Results: PC of patients with MM positively expressed FR compared to MGUS, SMM and normal PC (p<0.0001) (Figure 1 and 2). Of interest, 6 of 20 SMM patients showed positive expression. Maturing myeloid cells were also positive, acting as internal positive controls. Macrophages were often positive; some endothelial cells were positive; early erythroid precursors were rarely positive; megakaryocytes, maturing erythroid precursors and lymphocytes did not express FR. The chromosomal location of the FOLR gene cluster is 11q13. Gene expression arrays of purified PC failed to show evidence of overexpression of FOLR1, FOLR2, or FOLR3. We are currently performing Western blots to examine levels of protein product of purified PC. Conclusion: Immunohistochemistal studies show differential expression of FR in MM PC compared to absent or equivocal expression in MGUS and normal PC and variable expression in SMM. The data suggest that FR may be used as a diagnostic tumor marker and has implications for development of folate-based tumor imaging, drug delivery, and immunotherapy. Figure Figure Figure Figure

Abstract Background: Though STI-571 (Gleevec™) was designed to specifically inhibit the bcr-abl gene product, it inhibits other receptor tyrosine kinases at physiologically attainable concentrations, including c-kit (steel factor receptor, stem cell factor receptor, SCF-R or CD 117). Studies have shown that about one-third of patients with multiple myeloma or monoclonal gammopathy of undetermined significance have plasma cells that display reactivity for c-kit. Others have shown that several myeloma cell lines and fresh myeloma bone marrow cells proliferate in response to stem cell factor. mRNA transcripts for c-kit ligand and, more commonly, its receptor have been detected in myeloma cell lines RPMI 8226, JJN3, U266 B1, NCI-H929, ARH77 and HS-Sultan by RT-PCR. Methods: Patients were eligible for study if they presented with relapsed or refractory myeloma, an ECOG performance score < 3, ability to sign informed consent, serum creatinine <3.5 mg/dL, direct bilirubin <2 mg/dL, alkaline phosphatase <750 U/L, absolute neutrophil count > .5 x 10(9)/L and platelet count > 50 x 10(9)/L. Patients were treated with Gleevec™ 400 mg po qd. The purpose of the study was to assess the response rate of the drug Gleevec™ in patients with relapsed multiple myeloma. Secondary objectives included assessment of the tolerability of the regimen in this cohort of patients and to correlation between disease response and c-kit positivity (CD117) by flow cytometry. Results: Overall, 23 patients were enrolled between 12/01 and 11/02, of which 16 were male and 12 had a prior PBSCT. Median age was 63 years (range: 49 – 82), and the baseline performance scores were 0 (8 patients), 1 (10), and 2 (4). Median time from MM diagnosis to enrollment was 57 months (range: 11 – 133). Patients were high risk with a median PCLI of 1.3 (range: 0 – 23%) and a median beta-2 microglobulin of 4.6 (range: 1.4 – 10.1). Eleven of 21 tested patients had positive CD117 (≥20%) staining of their bone marrow plasma cells by flow cytometry. None were PDGF positive. The treatment was well tolerated. After treatment with Gleevec™, there were only 3 non-hematologic grade 3 or 4 toxicities, and they occurred in 1 patient: he developed a capillary leak type syndrome, ascites, and dyspnea as part of his terminal phase of myeloma which included evolution into plasma cell leukemia. Grade 3 myelosuppression was observed in a minority of patients: thrombocytopenia (3), neutropenia (1), and anemia (3). There were no responses, and no patients are currently receiving treatment. Patients ended treatment due to progressive disease (18 patients), death on study (3), adverse reactions (1), and other reasons (1). The median duration of treatment was 48 days (range: 12 to 349). Of the 7 patients who remained on study for more than 60 days, CD117 status was as follows: positive (4); negative (3); not ascertained (1). As of August 2004, 12 patients have died. Conclusions: Though forty-eight percent of the enrolled myeloma patients were CD117 positive, providing a putative target for the Gleevec™, no responses were seen in this high risk population of relapsed patients. Further study will be necessary to determine the significance of the observed stabilization of disease in 36% of the CD117 positive patients.

Abstract Background: Previous studies quantitating VEGF in plasma cells from multiple myeloma (MM), monoclonal gammopathy of undetermined significance (MGUS), and smoldering myeloma (SMM) have found no significant difference in expression between the groups. These studies have been done using immunohistochemistry, quantitative RT-PCR, and Western Blots using material from isolated CD138+ plasma cells. These studies may have been limited by specificity of reagents, low numbers of plasma cells, or heterogeneity within the plasma cell population. Asosingh et al have shown that 5T2MM murine myeloma cells show greater VEGF expression in the CD45- compared to the CD45+ plasma cell compartment (Asosingh K, Blood2004;103:3131–7). Quantitative flow cytometric methods allow for the quantitation of antigen expression with high sensitivity and allow discrimination among cell subsets. Flow studies have suggested that myeloma patients have both CD45+ and CD45 - plasma cell subsets and that each compartment may contain phenotypic and functionally different types of clonal plasma cells. This two part study evaluated bone marrow plasma cells for intracellular and surface levels of VEGF in MM, MGUS, SMM, amyloid, and normal controls. Methods: Cytoplasmic VEGF expression (cVEGF) was measured on lysed and permeabilized (FACSTM Permeabilizing Solution, BD Biosciences, San Jose, CA) whole bone marrow samples using anti-VEGF PE (R and D Systems, Minneapolis, MN). With each run, QuantumTM Simply Cellular Beads (Bangs Laboratories, Fishers, IN) were stained with the same VEGF antibody to create a standard curve for calculation of MESF/ABC (antibody binding capacity) values. A median VEGF MESF value was calculated for the plasma cells, lymphocytes, and granulocytes from each patient sample. Surface expression of VEGF (sVEGF) was determined using CD138 FITC/ VEGF PE/ CD45 Percp/ CD38 APC staining on ACK lysed whole bone marrow cells. sVEGF expression was determined on the plasma cell population as a whole and on the individual CD45 fractions. Median expression and proportion of cases with plasma cells expressing >20% sVEGF were calculated. Cytoplasmic kappa and lambda staining was also done to determine clonality. Results: cVEGF MESF differences within the plasma cell populations were greater than in the other cell types. The MESF was higher in MM (n=14 patients, median MESF 247,866) compared to MGUS/SMM (n=14, median MESF 89,794) and amyloid (n=5, median MESF 134,429)(p=0.038). The lymphocytes and granulocytes in each group had similar MESF values, but the median MESF was lower than in the plasma cells (median 41,485 for lymphocytes, and 24,227 for granulocytes). sVEGF was expressed by less than 20% of plasma cells in all groups studied. Similar results were also seen in the CD45- plasma cell fraction. In the CD45+ plasma cell fraction, all groups showed varying levels of positive expression: MM (n=15 patients; median, 52% cells positive), normal controls (n=4; 51%), MGUS/SMM (n=11; 34%). Conclusions: cVEGF expression was significantly higher in MM compared to SMM/MGUS in this study. On the other hand, sVEGF expression was confined to the CD45+ plasma cell compartment in all groups studied, with a trend to higher % positive cells in the MM group compared to MGUS. We are working on studying levels of secreted VEGF in various human plasma cell subsets, both alone and in conjunction with stromal cell contact.

Abstract Background: In previous studies quantitating VEGF receptors we have found no significant differences in expression between plasma cells from normal controls, multiple myeloma (MM), monoclonal gammopathy of undetermined significance (MGUS), or smoldering myeloma (SMM). (Kumar S, Blood, May 2004; 10.1182/blood-2003-11-3811 ePub). These studies were done using immunohistochemistry or Western Blotting (on CD138+ plasma cells) and may have been limited by low levels of receptor expression and by heterogeneity of expression. We measured expression of VEGF receptors (VEGFR1, VEGFR2 and VEGFR3) on the surface of plasma cells and in plasma cell subsets using direct and indirect flow cytometric assays to determine if significant differences in VEGF receptor expression existed between MGUS, SMM and MM. Methods: In the indirect flow cytometric assay, 32 bone marrow samples (3 amyloid, 9 MGUS, 12 MM, 8 SMM) were ACK lysed and tested using the FLUOROKINE TM rhVEGF biotin kit (R and D Systems, Minneapolis, MN) according to manufacturer’s instructions. In brief, in one tube (tube 1) cells were incubated with VEGF biotin. In tube 2, VEGF biotin preincubated with a blocking antibody was added to the cells (specificity control), while in a third tube a non-specific biotinylated protein (negative control) was added. After incubation, FITC-avidin, CD38 APC and CD45 Percp was added to each tube. Gates were drawn around the cells of interest and fitc staining was evaluated for the % positive cells. The % of signal blocked was calculated by comparing the fitc intensity (channel number) of the blocked VEGF peak (tube 2) to FITC intensity of tube 1. This system does not determine the identity of the receptor, but indicates the presence of VEGF receptors. In the direct flow cytometric assay, bone marrow from 25 individuals (2 amyloid, 5 MGUS, 7 MM, 7 SMM, and 4 normals) were lysed and blocked with mouse Ig and stained with CD38/CD45. In individual tubes, PE labeled VEGF R1, R2, R3 antibodies (R and D Systems, Minneapolis, MN) or isotype control were added. Plasma cells were identified, divided according to CD45 expression, and analyzed for % and intensity of receptor staining. Results: In the indirect assay, plasma cells in all groups bound VEGF ( 96% positive) at high intensity. There was also no difference in VEGF binding between CD45+ and CD45- plasma cell fractions (93 and 98% respectively).The specificity of VEGF binding (to one of the VEGF specific receptors) was confirmed by a significant drop in peak channel numbers of FITC intensity in the presence of blocking antibody. Specific VEGF binding at a similar intensity was seen in monocytes (95%) and at a lower intensity in lymphocytes (66%) and granulocytes (28%). Staining for VEGFR1, 2, and 3 in plasma cells using the direct assay revealed that except for 2 patients (1 amyloid and 1 SMM) none had >20% cells staining for any of the 3 receptors. The same results were seen in the CD45− fraction as well. In contrast, the CD45+ plasma cell fraction was highly positive for all 3 of the receptors in nearly all cases, with no significant differences between MGUS, SMM, amyloid, or MM. Conclusions: Plasma cells in MM and related disorders have specific VEGF receptors on the cell surface. The expression of VEGFR1, 2, and 3 seems to be primarily restricted to the CD 45+ subset of plasma cells. The finding of specific VEGF binding in CD45− plasma cells seen in the indirect assay may reflect the higher sensitivity of this assay due to the inbuilt amplification process or the presence of additional VEGF receptors such as neuropilin 1.

Abstract Background: Multiple myeloma (MM) is characterized by accumulation of clonal malignant plasma cells in the bone marrow (BM). CD45 was initially characterized as a leucocyte common antigen and can be found on all hematopoietic cells and is a key regulator of antigen mediated signaling and activation in B and T-lymphocytes. The expression of CD45 appears to be heterogeneous among the plasma cells in MM and this characteristic has been suggested to have biological and prognostic significance. Goals: To study CD45 expression by flow cytometry (FC) on BM plasma cells from patients with different stages of MM, and compared CD45 expression to key clinical and biological characteristics including clinical outcome, labeling index (%S-phase), bone marrow angiogenesis, and bone disease. In addition, the expression profile of various adhesion molecules on CD45+ vs CD45− plasma cells was studied. Results: BM from seventy-five patients seen at the Mayo Clinic during 1995 and diagnosed with newly diagnosed MM (29), relapsed MM (17), smoldering MM (12), and MGUS (17) were studied for CD45 expression.. CD45+ was defined as >20% of gated plasma cells expressing CD45. A mean of 30% of the plasma cells expressed CD45 by flow cytometry (median, 14%; range, 0.1 to 100%). Among the entire cohort of patients, 33 (44%) of the patients were CD45+. Patients with early disease (MGUS and SMM) had a higher percentage of plasma cells expressing CD45 compared with patients with advanced disease (new or relapsed MM) (43% vs. 22%; P = 0.005). Among those with early disease 69% were CD45 positive compared to 28% among those with advanced disease (P = 0.0008). Among the 46 patients with advanced disease, the mean percentage of CD45+ plasma cells was 14% (range, 0.1 – 85) for those with bone lesions compared to 34% (2 – 99) for those with none; P = 0.02. Also, those with high labeling index (>=1%) had a higher percentage of CD45 expressing plasma cells than those with a low labeling index (30% for high LI vs. 15% for low LI; (P = 0.08). Among those with advanced disease, patients with low-grade angiogenesis had a higher percentage of CD45+ plasma cells; 31% vs. 13% (P = 0.03). The median overall survival for the CD45 positive group was 39 mos vs. 18 mos for the CD45 negative group, but the difference was not statistically significant (P=0.1). The expression of CD138 (syndecan-1), CD56 (NCAM) and CD54 (ICAM-1) were higher among the CD45 neg plasma cells. Other adhesion molecules, especially LFA-1, Mac-1, VLA-5, and CD44 were more often expressed on the CD45 + plasma cells. Conclusions: This study demonstrates that CD45 expression is more common in early disease and is lost with disease progression. There are important immunophenotypic and biologic differences in the CD45+ vs CD45− plasma cells that may have implications for the design of immunotherapy for MM.