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The expression level of BCMA in bone marrow of 54 MM patients was detected in this study to explore the relationship between the BCMA expression and the classification, stage, and prognostic factors of MM. The BCMA expression level of the stable group and remission group was lower than that of the newly diagnosed group and relapse group (P=0.001). There was no significant difference in BCMA expression of MM patients in different types and stages (P>0.05), but it was found that for the newly diagnosed MM patients, the BCMA expression level of IgG patients was higher than that of IgA or light-chain patients (rank average 11.20 vs 5.44, P=0.014). There was no significant correlation between the BCMA expression and the age and serum creatinine of MM patients (P>0.05). And there was no significant difference in BCMA expression between patients with different levels of age and serum creatinine (P>0.05). But it was found that the BCMA expression level of the newly diagnosed MM patients was moderately positively correlated with their age (P=0.025, r=0.595). There was no significant correlation between the BCMA expression and serum β2-microglobulin, serum lactate dehydrogenase, free kap/lam ratio, and urine β2-microglobulin (P>0.05). But we found that the BCMA expression of patients with high serum β2-microglobulin was higher than that of patients with low serum β2-microglobulin (rank average 28.89 vs 17.54, P=0.017). And the BCMA expression of patients with abnormal serum free kap/lam ratio was higher than that of patients with normal ratio (rank average 28.49 vs 13.55, P=0.004). The BCMA expression was strongly positively correlated with 24-h urine protein, was moderately positively correlated with serum M protein and the percentage of plasma cells in bone marrow, was moderately negatively correlated with albumin and hemoglobin count, and was weakly positively correlated with serum corrected calcium (P<0.05). And it was found that the BCMA expression of positive serum immunofixation electrophoresis patients was higher than that of negative patients (rank average 29.94 vs 16.75, P=0.017). And we try to clarify the relationship between the bone marrow BCMA expression and the peripheral blood sBCMA expression. However, we have not found a clear correlation between them so far (P>0.05)., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Ma, Shi, Xiao, Bian, Wang, Hui, Wang and Liu.)

Importance: Health care costs associated with diagnosis and care among older adults with multiple myeloma (MM) are substantial, with cost of care and the factors involved differing across various phases of the disease care continuum, yet little is known about cost of care attributable to MM from a Medicare perspective., Objective: To estimate incremental phase-specific and lifetime costs and cost drivers among older adults with MM enrolled in fee-for-service Medicare., Design, Setting, and Participants: A retrospective cohort study was conducted using population-based registry data from the 2007-2015 Surveillance, Epidemiology, and End Results database linked with 2006-2016 Medicare administrative claims data. Data analysis included 4533 patients with newly diagnosed MM and 4533 matched noncancer Medicare beneficiaries from a 5% sample of Medicare to assess incremental MM lifetime and phase-specific costs (prediagnosis, initial care, continuing care, and terminal care) and factors associated with phase-specific incremental MM costs. The study was conducted from June 1, 2019, to April 30, 2021., Main Outcomes and Measures: Incremental MM costs were calculated for the disease lifetime and the following 4 phases of care: prediagnosis, initial, continuing care, and terminal., Results: Of the 4533 patients with MM included in the study, 2374 were women (52.4%), 3418 (75.4%) were White, and mean (SD) age was 75.8 (6.8) years (2313 [51.0%] aged ≥75 years). The characteristics of the control group were similar; however, mean (SD) age was 74.2 (8.8) years (2839 [62.6%] aged ≤74 years). Mean adjusted incremental MM lifetime costs were $184 495 (95% CI, $183 099-$185 968). Mean per member per month phase-specific incremental MM costs were estimated to be $1244 (95% CI, $1216-$1272) for the prediagnosis phase, $11 181 (95% CI, $11 052-$11 309) for the initial phase, $5634 (95% CI, $5577-$5694) for the continuing care phase, and $6280 (95% CI, $6248-$6314) for the terminal phase. Although inpatient and outpatient costs were estimated as the major cost drivers for the prediagnosis (inpatient, 55.8%; outpatient, 40.2%), initial care (inpatient, 38.1%; outpatient, 35.5%), and terminal (inpatient, 33.0%; outpatient, 34.6%) care phases, prescription drugs (44.9%) were the largest cost drivers in the continuing care phase., Conclusions and Relevance: The findings of this study suggest that there is substantial burden to Medicare associated with diagnosis and care among older adults with MM, and the cost of care and cost drivers vary across different phases of the cancer care continuum. The study findings might aid policy discussions regarding MM care and coverage and help further the development of alternative payment models for MM, accounting for differential costs across various phases of the disease continuum and their drivers.

Immune dysfunction plays an important role in tumour development, recurrence, therapeutic responses and overall survival (OS). Multiple myeloma (MM) is a clonal B-cell malignancy which characterized by anti-tumoural immune dysfunction. In this study, we analysed 28 tumour-immune-related pathways and calculated the immune pathway score through published microarray data from the Gene Expression Omnibus (GEO) data portal. A training set of 345 patients and a validation set of 214 patients with primary MM were chosen. We performed least absolute shrinkage and selection operator (LASSO) analysis to identify prognostic factors. Then, we used cluster analysis to divide patients into three immunogenomic subtypes, which named abnormal immune activated type, common type and anti-myeloma immune activated type. Log‑rank tests showed that anti-myeloma immune activated type had the best prognosis and abnormal immune activated type had the shortest OS (P = 0.000) and event-free survival (EFS) (P = 0.000). Multivariate Cox also indicated that the immunogenomic subtype was an independent predictor of OS (P = 0.001) and EFS (P = 0.000). We also analysed the characteristics and the immune-response patterns of different subtypes. Then, we established a mathematical model to classify patients in the validation set. In the validation set, patients with different immunogenomic subtypes also had a significantly different OS (P = 0.001) and EFS (P = 0.005). Our study explored tumour-immune-related pathways at a multi-dimensional level and found the immunogenomic subtype of MM. Potential mechanisms on the genetic level of how tumour-immunity influences the prognosis and therapeutic responses are provided. The immunogenomic subtype may be feasible for deciding clinical treatment in the future., (© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

Background: Multiple Myeloma (MM) is a hematological malignancy with genomic heterogeneity and poor survival outcome. Apart from the central role of genetic lesions, epigenetic anomalies have been identified as drivers in the development of the disease., Methods: Alterations in the DNA methylome were mapped in 52 newly diagnosed MM (NDMM) patients of six molecular subgroups and matched with loci-specific chromatin marks to define their impact on gene expression. Differential DNA methylation analysis was performed using DMAP with a ≥10% increase (hypermethylation) or decrease (hypomethylation) in NDMM subgroups, compared to control samples, considered significant for all the subsequent analyses with p<0.05 after adjusting for a false discovery rate., Results: We identified differentially methylated regions (DMRs) within the etiological cytogenetic subgroups of myeloma, compared to control plasma cells. Using gene expression data we identified genes that are dysregulated and correlate with DNA methylation levels, indicating a role for DNA methylation in their transcriptional control. We demonstrated that 70% of DMRs in the MM epigenome were hypomethylated and overlapped with repressive H3K27me3. In contrast, differentially expressed genes containing hypermethylated DMRs within the gene body or hypomethylated DMRs at the promoters overlapped with H3K4me1, H3K4me3, or H3K36me3 marks. Additionally, enrichment of BRD4 or MED1 at the H3K27ac enriched DMRs functioned as super-enhancers (SE), controlling the overexpression of genes or gene-cassettes., Conclusions: Therefore, this study presents the underlying epigenetic regulatory networks of gene expression dysregulation in NDMM patients and identifies potential targets for future therapies.

Background/aim: The aim of the study was to contribute to the development of adaptive risk stratification methods specific to Asian multiple myeloma (MM) patients undergoing autologous stem cell transplantation (ASCT)., Patients and Methods: We conducted this study to evaluate the prognostic impact of genetic abnormalities detected by fluorescent in situ hybridization (FISH) on survival outcomes in combination with the International Staging System (ISS) classification in 161 MM patients. This was a single-center retrospective longitudinal cohort study of newly diagnosed MM patients undergoing ASCT within 12 months from initial diagnosis. A single-center retrospective cohort study of newly diagnosed MM., Results: Patients were divided into 3 groups according to risk stratification: 1) low-risk, patients without del(17p13) nor t(14;16) or t(4;14) and ISS I/II; 2) high-risk, patients with t(4;14), regardless of ISS stage; 3) intermediate-risk, all remaining patients. The median PFS for the low-risk group was 18 months versus 13 months for the intermediate group (p=0.047, HR=1.527, 95%CI=1.006-2.316) versus 10 months for the high-risk group (p<0.001, HR=2.656, 95%CI=1.572-4.490)., Conclusion: An ISS/FISH-based prognostication strategy was developed that can predict PFS for Asian MM patients undergoing ASCT., (Copyright© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)

The International Myeloma Working Group consensus updates the definition for high-risk (HR) multiple myeloma based on cytogenetics Several cytogenetic abnormalities such as t(4;14), del(17/17p), t(14;16), t(14;20), nonhyperdiploidy, and gain(1q) were identified that confer poor prognosis. The prognosis of patients showing these abnormalities may vary with the choice of therapy. Treatment strategies have shown promise for HR cytogenetic diseases, such as proteasome inhibition in combination with lenalidomide/pomalidomide, double autologous stem cell transplant plus bortezomib, or combination of immunotherapy with lenalidomide or pomalidomide. Careful analysis of cytogenetic subgroups in trials comparing different treatments remains an important goal. Cross-trial comparisons may provide insight into the effect of new drugs in patients with cytogenetic abnormalities. However, to achieve this, consensus on definitions of analytical techniques, proportion of abnormal cells, and treatment regimens is needed. Based on data available today, bortezomib and carfilzomib treatment appear to improve complete response, progression-free survival, and overall survival in t(4;14) and del(17/17p), whereas lenalidomide may be associated with improved progression-free survival in t(4;14) and del(17/17p). Patients with multiple adverse cytogenetic abnormalities do not benefit from these agents. FISH data are implemented in the revised International Staging System for risk stratification., (© 2016 by The American Society of Hematology.)

Background and Aims: Advances in the diagnosis and treatment of multiple myeloma (MM), place increasing demands on accurate stratification of patients as the starting point for optimal individualized therapy. The present study focused on assessing the association between HLC levels and the HLC-r to parameters of MM activity, prognosis and tumor mass volume.The objective was to assess the correlation of immunoglobulin (Ig), heavy/light chain (HLC) pairs (IgG-κ and-λ, IgA-κ and -λ HLC) and the ratio of monoclonal involved-HLC (i-HLC) to polyclonal uninvolved (u-HLC) Ig concentrations assessed by the Hevylite(TM) method with the free light chain κ/λ ratio (FLC-r), selected prognostic laboratory parameters i.e. Hb, platelets, albumin, β2-microglobulin (β2-M), Ca, lactate dehydrogenase (LDH), creatinine and the Durie-Salmon (D-S) and International Staging System (ISS), stages (1-3) for MM., Methods: Hevylite assays were done on the sera of 132 MM patients at the time of diagnosis (IgG 94, IgA 38). HLC-r was calculated in the case of i-HLC-κ from the i-HLC-κ/u-HLC-λ ratio and for i-HLC-λ from the i-HLC-λ/u-HLC-κ ratio. D-S and ISS stages were evenly distributed., Results: Md IgG-κ HLC-r was 64.8 (2.7-2222) and of IgG-λ HLC-r 49.6 (0.7-465.1), in the case of IgA-κ, Md HLC-r was 408.9 (3.4-3966) and for IgA-λ HLC-r the Md was 180.0 (0.1-3110). Normal levels of HLC pairs and HLC-r did not always rule out the diagnosis of MM. HLC-r correlated with FLC-r in IgG (r = 0.244, P = 0.018), but not in the IgA type. For IgG, HLC-r values were significantly different in patients with abnormal vs normal levels of Hb (P < 0.0001), albumin (P < 0.043), β2-M (P < 0.0001) and creatinine (P = 0.034) but not thrombocyte count, Ca or LDH. For the IgA isotype, we found a significant difference in HLC-r values only for thrombocyte count (P = 0.026) and β2-M (P = 0.016) but not for Hb, albumin, Ca, LDH or creatinine. For the IgG isotype there was a significant relationship of HLC-r index to stages 1-3 (P = 0.038) and substage A vs B (P = 0.048) according to D-S, and with high significance to stages 1-3 according to ISS (P = 0.005) and between stages 1 vs 3 (P = 0.001). For the IgA isotype, we found significant differences in HLC-r only between stages 1-3 (P = 0.025) according to D-S but not in the case of ISS. There were no significant correlations between i-HLC Ig levels and D-S or ISS stages in both IgG-κ and λ and IgA-κ and λ. Exceptions were significant differences for stages 1 vs 3 (P = 0.012) and 2 vs 3 (P = 0.017) for the IgG-λ isotype. There were no correlations of the HLC-r and u-HLC levels for either D-S or ISS stratifications in all HLC isotypes., Conclusion: We found a significant positive contribution of HLC-r using the i-HLC/u-HLC ratio even in the case of i-HLC-λ i.e. i-HLC-λ/u-HLC-κ. Variable results for the relationship of important laboratory parameters and D-S and ISS stratifications (stage 1-3) to HLC-r values in IgG and IgA isotypes make separate interpretation of the Hevylite method results necessary in clinical practice.

Using a data set of 1217 patients with multiple myeloma enrolled in Total Therapies, we have examined the impact of novel therapies on molecular and risk subgroups and the clinical value of molecular classification. Bortezomib significantly improved the progression-free survival (PFS) and overall survival (OS) of the MMSET (MS) subgroup. Thalidomide and bortezomib positively impacted the PFS of low-risk (LoR) cases defined by the GEP70 signature, whereas high-risk (HiR) cases showed no significant changes in outcome. We show that molecular classification is important if response rates are to be used to predict outcomes. The t(11;14)-containing CD-1 and CD-2 subgroups showed clear differences in time to response and cumulative response rates but similar PFS and OS. Furthermore, complete remission was not significantly associated with the outcome of the MAF/MAFB (MF) subgroup or HiR cases. HiR cases were enriched in the MF, MS and proliferation subgroups, but the poor outcome of these groups was not linked to subgroup-specific characteristics such as MAF overexpression per se. It is especially important to define risk status if HiR cases are to be managed appropriately because of their aggressive clinical course, high rates of early relapse and the need to maintain therapeutic pressure on the clone.

Objective: To study the clinical and pathologic features of multiple myeloma(MM) with CCND1., Methods: Retrospectively analyzed the clinical and pathologic profiles of 158 patients with MM from 2010 to 2013. The clinical and morphologic features of bone marrow aspiration, biopsy and immunophenotypic analysis which was carried out by flow cytometry and immunohistochemistry were analyzed in all patients with MM respectively. CCND1 translocation was studied by FISH method in all cases. Classical cytogenetic studies of bone marrow were performed in 24 cases whose CCND1 was positive., Results: In the 158 patients with MM, CCND1 was detected in 31 patients (19.6%）. In 31 patients, type IgA, IgD, IgG, IgM, light-chain only and nonsecretory MM were 4 cases,4 cases,11 cases,1 case, 6 cases and 5 cases respectively. A high incidence of CCND1 was observed in IgD and nonsecretory MM comparied with IgA and IgG respectively (P<0.05). but no statistical significance was reached between κ and λ type patients (P=0.627). The morphology of plasma cell in bone marrow biopsies were small Lymphocyte- Like 24 cases,mature plasma cell 6 cases and immature plasma cell 1 case. Immunophenotype of all 31 cases was CD38⁺CD138⁺CD19⁻CD45⁻, (CD56⁺ in 11 cases, CD20⁺ in 9 cases, CD117⁺ in 3 cases. MM with CCND1 showed a strong association with CD20 expression, the lack of CD56 expression. Immunohistochemistry showed positive for cyclinD1 in 22 cases., Conclusion: A high incidence of CCND1 was detected in the IgD and nonsecretory MM, and correlated with Small Lymphocyte- Like, higher positive rate of CD20, cyclinD1 and the lack of CD56 expression. MM with CCND1 must be distinguished from LPL and other mature B cell lymphomas which have plasmacytoid differentiation.

We have recently reported on the outcome of autologous transplantation in the rare myelomas (IgD, IgE, IgM, and nonsecretory [NS]) but there is no real information on the outcome of these conditions after allogeneic transplantation. We used the European Group for Blood and Marrow Transplantation myeloma database to compare the outcomes after allogeneic transplantation of 1354 common myelomas (IgG, IgA, and light chain myeloma) with the outcome in 26 IgD myelomas and 52 NS myelomas. There was little difference between common and the IgD and NS myeloma patients with respect to prognostic factors although the IgD group had a higher beta 2 microglobulin at diagnosis, shorter time to transplantation, and more T cell depletion. IgD and NS patients had a significantly greater achievement of complete remission at conditioning but this did not translate into equivalent progression-free survival and overall survival for the IgD patients although the NS outcome was very similar to that of common myeloma. The PFS and OS of IgD, common, and NS myelomas appear similar after allogeneic transplantation, despite a tendency for higher early relapse rate in IgD myeloma. Allogeneic transplantation may, therefore, be an option to investigate in prospective observational studies., (Copyright © 2015 American Society for Blood and Marrow Transplantation. Published by Elsevier Inc. All rights reserved.)

Knowledge about clonal diversity and selection is critical to understand multiple myeloma (MM) pathogenesis, chemoresistance and progression. If targeted therapy becomes reality, identification and monitoring of intraclonal plasma cell (PC) heterogeneity would become increasingly demanded. Here we investigated the kinetics of intraclonal heterogeneity among 116 MM patients using 23-marker multidimensional flow cytometry (MFC) and principal component analysis, at diagnosis and during minimal residual disease (MRD) monitoring. Distinct phenotypic subclones were observed in 35/116 (30%) newly diagnosed MM patients. In 10/35 patients, persistent MRD was detected after 9 induction cycles, and longitudinal comparison of patient-paired diagnostic vs MRD samples unraveled phenotypic clonal tiding after therapy in half (5/10) of the patients. After demonstrating selection of distinct phenotypic subsets by therapeutic pressure, we investigated whether distinct fluorescence-activated cell-sorted PC subclones had different clonogenic and cytogenetic profiles. In half (5/10) of the patients analyzed, distinct phenotypic subclones showed different clonogenic potential when co-cultured with stromal cells, and in 6/11 cases distinct phenotypic subclones displayed unique cytogenetic profiles by interphase fluorescence in situ hybridization, including selective del(17p13). Collectively, we unravel potential therapeutic selection of preexisting diagnostic phenotypic subclones during MRD monitoring; because phenotypically distinct PCs may show different clonogenic and cytogenetic profiles, identification and follow-up of unique phenotypic-genetic myeloma PC subclones may become relevant for tailored therapy.

Motivation: Measurements are commonly taken from two phenotypes to build a classifier, where the number of data points from each class is predetermined, not random. In this 'separate sampling' scenario, the data cannot be used to estimate the class prior probabilities. Moreover, predetermined class sizes can severely degrade classifier performance, even for large samples., Results: We employ simulations using both synthetic and real data to show the detrimental effect of separate sampling on a variety of classification rules. We establish propositions related to the effect on the expected classifier error owing to a sampling ratio different from the population class ratio. From these we derive a sample-based minimax sampling ratio and provide an algorithm for approximating it from the data. We also extend to arbitrary distributions the classical population-based Anderson linear discriminant analysis minimax sampling ratio derived from the discriminant form of the Bayes classifier., Availability: All the codes for synthetic data and real data examples are written in MATLAB. A function called mmratio, whose output is an approximation of the minimax sampling ratio of a given dataset, is also written in MATLAB. All the codes are available at: http://gsp.tamu.edu/Publications/supplementary/shahrokh13b.

Background: Symptomatic multiple myeloma (MM) evolves from an asymptomatic precursor state termed monoclonal gammopathy of undetermined significance (MGUS) and smoldering myeloma (SMM). Angiogenesis plays a key role in the pathogenesis of MM but there are very limited data for angiogenesis in SMM., Material and Methods: We measured the circulating levels of angiopoietin-1 (Ang-1), angiopoietin-2 (Ang-2), vascular endothelial growth factor (VEGF), and angiogenin in 54 patients with SMM. The results were compared with those of 27 MGUS patients, 55 MM patients, and 22 healthy controls. The expression of VEGF-A gene was also evaluated in 10 patients with SMM, 10 with symptomatic MM, and 10 with MGUS., Results: The ratio of circulating Ang-1/Ang-2 was reduced in MM patients with symptomatic disease due to a dramatic increase of Ang-2 (p<0.001), but not in patients with SMM or MGUS, in whom it did not differ compared to controls. VEGF and angiogenin were increased in all patients compared to controls. However, circulating VEGF was higher in symptomatic MM compared to SMM and MGUS, while angiogenin was reduced. There were no differences in the expression of VEGF-A among the 3 patients categories., Conclusions: SMM has a circulating angiogenic cytokine profile similar to that of MGUS, but has altered profile compared to symptomatic MM. Thus, in the progression of MGUS to SMM, circulating angiogenic cytokines seem to be the same. On the contrary, in symptomatic myeloma, the alterations of angiopoietins along with VEGF contribute to myeloma cell growth, supporting the target of these molecules for the development of novel anti-myeloma agents.

Murine myeloma cell lines play an important role in different areas of scientific research and are essential tools for monoclonal antibody production technology. Thus, it is important to understand the biology of these cell lines in order to provide useful information to various research fronts. The present study aims to perform detailed analyses of surface antigens expressed on three major murine myeloma cell lines extensively used for MAb production. The P3X63Ag8.653 cell line expresses molecules associated with T cell interaction (CD40(low), CD80(low)), as well as antigens related to plasma cell phenotype (CD138(high), CD184(low)). The Sp2/0-Ag14 cell line presents molecules associated with BCR activation and regulation (CD79b(low), CD22(low), CD72(med)), molecules related to T cell interaction (CD40(low), CD80(low)), and markers of plasma cell phenotype (CD138(high), CD184(low)). The NS1 cell line presents all molecules of plasma cell phenotype evaluated in this study (CD184(low), CD138(high), CD38(med)) with low expression of CD72 (CD72(low)), a molecule related to BCR activation. Molecules associated with immune response modulation such as CD23 and CD25, as well as CD117, a marker related to undifferentiated cell phenotype, were not observed in any of the three murine myeloma cell lines evaluated. These data show that in spite of their common origin and function, the immunological profiles differ between P3X63Ag8.653, Sp2/0-Ag14, and NS1 cell lines.

Search and disclosure of most adequate diagnostic criteria and prognostic indicators of disease represents one of the most difficult tasks in the understanding of any disease, which creates the way toward a more successful treatment and longer survival. The recent advances in research techniques that have helped refine the diagnostic work up and prognosis of myeloma include serum-free light chains, especially in oligosecretory myeloma, magnetic resonance and positron emission tomography in the diagnosis of bone diseases, cytogenetics and fluorescent in situ hibridization (FISH) technique to determine prognosis. The International Staging System and Durie/Salmon PLUS system are the current standards for staging myeloma. Newer risk stratification protocols are based on international staging system and chromosomal changes detected by conventional cytogenetics and FISH. These improved predictive risk stratification models have enabled the determination of prognosis in patients with myeloma which has a considerable influence on the choice of therapeutic algorism. Novel therapies enable a significant increase in achieving complete remission in a significant number of patients which also results in the definition of more precise criteria regarding the response to therapy. A firm and complete remission with a very good partial remission represent new categories defined by the international uniform criteria of response to therapy. This paper provides the current criteria for diagnosis, staging, risk stratification and response assessment of myeloma.

Introduction: Cytokines and their receptor genes are very polymorphic. SNPs in the promotor region of the gene may influence the rate of cytokine secretion and may affect the biological activity of the encoded cytokine. A number of cytokines and cytokine receptors have been directly linked to the development of human cancers. The aim of our study was to determine the cytokine gene polymorphism in Romanian multiple myeloma patients., Material and Methods: Cytokine genotyping was performed in 80 patients and 100 healthy blood donors using molecular biology methods (SSP-Invitrogen, USA)., Results: Analyzing each polymorphic site, there was an increased frequency of the following genotypes in patients compared to control group: Interleukin-1beta (IL-1β) pos.+3962 TT, IL-12 pos.-1188 CC, gamma-Interferon (γ-IFN) pos.+874 AA, Transforming Growth Factor- beta1 (TGF- β1) codon10 TT, IL-2 pos.-330 TG and pos.+166 TT, Interleukin-4Receptor alpha (IL-4Rα) pos.-33 TC, IL-10 pos.-1082 GG and pos.-592 CC, IL-6 pos.-174 GG. It should be noted that almost one third of multiple myeloma patients had IL-6 pos.-174 GG genotype and 62% IL-10 GCC haplotype. These identified haplotypes are high interleukins producer, and this fact was confirmed by serum IL-6 and IL-10 levels performed by ELISA and enhanced chemiluminiscence methods., Conclusion: These markers could be successfully used, together with other specific clinical and biological parameters, as reliable individualized prognostic factors in multiple myeloma patients.

Background: MicroRNAs are small RNA species that regulate gene expression post-transcriptionally and are aberrantly expressed in many cancers including hematological malignancies. However, the role of microRNAs in the pathogenesis of multiple myeloma (MM) is only poorly understood. We therefore used microarray analysis to elucidate the complete miRNome (miRBase version 13.0) of purified tumor (CD138+) cells from 33 patients with MM, 5 patients with monoclonal gammopathy of undetermined significance (MGUS) and 9 controls., Results: Unsupervised cluster analysis revealed that MM and MGUS samples have a distinct microRNA expression profile from control CD138+ cells. The majority of microRNAs aberrantly expressed in MM (109/129) were up-regulated. A comparison of these microRNAs with those aberrantly expressed in other B-cell and T-cell malignancies revealed a surprising degree of similarity (~40%) suggesting the existence of a common lymphoma microRNA signature. We identified 39 microRNAs associated with the pre-malignant condition MGUS. Twenty-three (59%) of these were also aberrantly expressed in MM suggesting common microRNA expression events in MM progression. MM is characterized by multiple chromosomal abnormalities of varying prognostic significance. We identified specific microRNA signatures associated with the most common IgH translocations (t(4;14) and t(11;14)) and del(13q). Expression levels of these microRNAs were distinct between the genetic subtypes (by cluster analysis) and correctly predicted these abnormalities in > 85% of cases using the support vector machine algorithm. Additionally, we identified microRNAs associated with light chain only myeloma, as well as IgG and IgA-type MM. Finally, we identified 32 microRNAs associated with event-free survival (EFS) in MM, ten of which were significant by univariate (logrank) survival analysis., Conclusions: In summary, this work has identified aberrantly expressed microRNAs associated with the diagnosis, pathogenesis and prognosis of MM, data which will prove an invaluable resource for understanding the role of microRNAs in this devastating disease.

Multiple myeloma (MM) is malignancy of isotype-switched, BM-localized plasma cells that frequently results in bone destruction, BM failure, and death. Important molecular subgroups are identified by three classes of recurrent immunoglobulin gene translocations and hyperdiploidy, both of which affect disease course. From a clinical standpoint, it is critical to identify MM patients carrying the t(4;14) translocation, which is present in 15% of myelomas and is associated with dysregulation of WHSC1/MMSET and often FGFR3. These patients should all receive bortezomib as part of their initial induction treatment because this has been shown to significantly prolong survival. In contrast, patients with translocations affecting the MAF family of transcription factors, del17p, or gene-expression profiling (GEP)-defined high-risk disease appear to have a worse prognosis that is not dramatically improved by any intervention. These patients should be enrolled in innovative clinical trials. The remaining patients with cyclin D translocations or hyperdiploidy do well with most therapies, and the goal should be to control disease while minimizing toxicity.

To identify molecularly defined subgroups in multiple myeloma, gene expression profiling was performed on purified CD138(+) plasma cells of 320 newly diagnosed myeloma patients included in the Dutch-Belgian/German HOVON-65/GMMG-HD4 trial. Hierarchical clustering identified 10 subgroups; 6 corresponded to clusters described in the University of Arkansas for Medical Science (UAMS) classification, CD-1 (n = 13, 4.1%), CD-2 (n = 34, 1.6%), MF (n = 32, 1.0%), MS (n = 33, 1.3%), proliferation-associated genes (n = 15, 4.7%), and hyperdiploid (n = 77, 24.1%). Moreover, the UAMS low percentage of bone disease cluster was identified as a subcluster of the MF cluster (n = 15, 4.7%). One subgroup (n = 39, 12.2%) showed a myeloid signature. Three novel subgroups were defined, including a subgroup of 37 patients (11.6%) characterized by high expression of genes involved in the nuclear factor kappa light-chain-enhancer of activated B cells pathway, which include TNFAIP3 and CD40. Another subgroup of 22 patients (6.9%) was characterized by distinct overexpression of cancer testis antigens without overexpression of proliferation genes. The third novel cluster of 9 patients (2.8%) showed up-regulation of protein tyrosine phosphatases PRL-3 and PTPRZ1 as well as SOCS3. To conclude, in addition to 7 clusters described in the UAMS classification, we identified 3 novel subsets of multiple myeloma that may represent unique diagnostic entities.

IgD myeloma is a rare subtype of myeloma that is associated with an aggressive course, resistance to chemotherapy, and a poor outcome. We identified 17 patients with IgD myeloma, who received a hematopoietic stem cell transplantation (HCT) at our institution between August 1988 and June 2008. Fifteen of these 17 patients underwent an autologous (auto) HCT. Complete responses (CRs) were seen in 6 of 15 (40%) patients; three converted from partial response to CR, two from minimal response to CR, and one from very good partial response to CR. The overall response rate after auto HCT was 86% (13 of 15). Kaplan-Meiers estimates of 3-year progression-free survival (PFS) and overall survival (OS) were 38% and 64%, respectively. Median PFS and OS were 18 and 45 months, respectively. These results were comparable with patients receiving autologous HCT for other Ig subtypes of myeloma., ((c) 2010 Wiley-Liss, Inc.)

Background: The aim of the present paper was to examine the correlation between serum concentrations of 12 soluble biological markers and stages of myeloma evaluated according to the Durie-Salmon (D-S) and International Prognostic Index (IPI) stratification systems., Methods: We analyzed a non-pretreated group of 179 patients with MM stratified according to D-S and IPI. Serum levels of soluble biological markers were evaluated using ELISA, REA and quantitative sandwich enzymatic immunoassays. The data were analyzed using the Kruskal-Wallis and Mann-Whitney U tests., Results: The staging system according to D-S revealed a highly significant relationship between all stages (I-III) in case of beta(2)-m (p<0.0001) and sTK (p<0.001), in sICTP a significant difference was found only in stages II vs III (p<0.001) and I vs III (p<0.001), in case of sCD(138) (syndecan-1) in stages I vs II (p = 0.006) and I vs III (p<0.001), in sVEGF only in stages I vs III (p = 0.006). In substages A vs B we found a significant difference in case of beta2-m (p<0.0001), sTK (p = 0.041), sICTP (p 0.0001), sOSP (p = 0.008), sHGF (p<0.001), sCD138 (p = 0.001) and sFas (p= 0.001). The relationship between other factors and stages and substages according to D-S appeared nonsignificant. The IPI system showed a highly significant relationship between all 3 categories (1-3) in case of beta(2)-m (p<0.001), sTK (p<0.0001) and sICTP (p<0.0001), while in sHGF only in stages 2 vs 3 (p<0.0001) and 1 vs 3 (p<0.0001). In 4 parameters there were only discrete differences in 1 vs 3: sPINP (p= 0.036), sOSP (p= 0.002), sCD(138) (p = 0.03) and sFas (p=0.012), in the remaining markers the analysis was negative., Conclusions: A highly convincing relationship between myeloma stages and serum levels was found only in beta(2)-m, sTK, sICTP and partly also in sCD(138) (syndecan-1) and sHGF. More favourable was the IPI stratification system.

Myeloma is a malignant proliferation of monoclonal plasma cells. Although morphologically similar, several subtypes of the disease have been identified at the genetic and molecular level. These genetic subtypes are associated with unique clinicopathological features and dissimilar outcome. At the top hierarchical level, myeloma can be divided into hyperdiploid and non-hyperdiploid subtypes. The latter is mainly composed of cases harboring IgH translocations, generally associated with more aggressive clinical features and shorter survival. The three main IgH translocations in myeloma are the t(11;14)(q13;q32), t(4;14)(p16;q32) and t(14;16)(q32;q23). Trisomies and a more indolent form of the disease characterize hyperdiploid myeloma. A number of genetic progression factors have been identified including deletions of chromosomes 13 and 17 and abnormalities of chromosome 1 (1p deletion and 1q amplification). Other key drivers of cell survival and proliferation have also been identified such as nuclear factor- B-activating mutations and other deregulation factors for the cyclin-dependent pathways regulators. Further understanding of the biological subtypes of the disease has come from the application of novel techniques such as gene expression profiling and array-based comparative genomic hybridization. The combination of data arising from these studies and that previously elucidated through other mechanisms allows for most myeloma cases to be classified under one of several genetic subtypes. This paper proposes a framework for the classification of myeloma subtypes and provides recommendations for genetic testing. This group proposes that genetic testing needs to be incorporated into daily clinical practice and also as an essential component of all ongoing and future clinical trials.

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

We report an 82-year-old Japanese woman with multiple myeloma (MM). She developed disorientation due to hyperammonemia after melphalan and prednisolone therapy and abruptly died with a rapid clinical course. Karyotypic analysis of bone marrow showed complex abnormalities including a variant Burkitt-type translocation, t(2;8)(p12;q24), but the patient had IgG-lambda type M-proteinemia. Although patients with MM associated with hyperammonemia have been sporadically reported and their prognosis is poor, specific chromosomal abnormalities in the lesion have not been well characterized. It is, therefore, important to accumulate such patients to find a possible relationship between hyperammonemia and chromosomal abnormalities.

Although the phosphatidylinositide 3-kinase (PI3K)/Akt pathway has been reported to contribute to the malignant growth of multiple myeloma (MM), the true relevance of Akt kinases for this disease is still unclear. In particular, functional analyses in primary tumor cells and genetic target validation experiments are missing. Here, we used combined functional and molecular analyses to determine the importance of Akt activity in a large panel of primary MM samples and in MM cell lines. Akt down-regulation with isoform-specific siRNA constructs or with an Akt1/2-specific pharmacologic inhibitor strongly induced apoptosis in approximately half of the primary MM samples analyzed. Sensitivity to Akt inhibition strongly correlated with the activation status of Akt as determined by immunohistochemistry, phospho-Akt-specific flow cytometry, and Western analysis. Additional blockade of the MAPK and the IL-6R/STAT3 pathways was often not sufficient to decrease the viability of MM cells resilient to Akt inhibition. Taken together, these experiments led to the identification of 2 myeloma subgroups: Akt-dependent and Akt-independent MM.

This trial determined the safety and efficacy of the combination regimen clarithromycin (Biaxin), lenalidomide (Revlimid), and dexamethasone (BiRD) as first-line therapy for multiple myeloma. Patients received BiRD in 28-day cycles. Dexamethasone (40 mg) was given orally once weekly, clarithromycin (500 mg) was given orally twice daily, and lenalidomide (25 mg) was given orally daily on days 1 to 21. Objective response was defined by standard criteria (ie, decrease in serum monoclonal protein [M-protein] by at least 50%, and a decrease in urine M-protein by at least 90%). Of the 72 patients enrolled, 65 had an objective response (90.3%). A combined stringent and conventional complete response rate of 38.9% was achieved, and 73.6% of the patients achieved at least a 90% decrease in M-protein levels. This regimen did not interfere with hematopoietic stem-cell harvest. Fifty-two patients who did not go on to receive transplants received continued therapy (complete response, 37%; very good partial response, 33%). The major adverse events were thromboembolic events, corticosteroid-related morbidity, and cytopenias. BiRD is an effective regimen with manageable side effects in the treatment of symptomatic, newly diagnosed multiple myeloma. This trial was registered at www.clinicaltrials.gov as #NCT00151203.

Multiple myeloma is a B-cell neoplasia characterized by the proliferation of a clone of malignant plasma cells in the bone marrow. We review here the input of gene expression profiling of myeloma cells and of their tumor microenvironment to develop new tumor classifiers, to better understand the biology of myeloma cells, to identify some mechanisms of drug sensitivity and resistance, to identify new myeloma growth factors, and to depict the complex interactions between tumor cells and their microenvironment. We discuss how these findings may improve the clinical outcome of this still incurable disease.

Monoclonal gammopathy of uncertain significance (MGUS) and smoldering multiple myeloma (SMM) are plasma cell disorders with a risk of progression of approximately 1% and 10% per year, respectively. We have previously shown that the proportion of bone marrow (BM) aberrant plasma cells (aPCs) within the BMPC compartment (aPC/BMPC) as assessed by flow cytometry (FC) contributes to differential diagnosis between MGUS and multiple myloma (MM). The goal of the present study was to investigate this parameter as a marker for risk of progression in MGUS (n = 407) and SMM (n = 93). Patients with a marked predominance of aPCs/BMPC (> or = 95%) at diagnosis displayed a significantly higher risk of progression both in MGUS and SMM (P< .001). Multivariate analysis for progression-free survival (PFS) selected the percentage aPC/BMPC (> or = 95%) as the most important independent variable, together with DNA aneuploidy and immunoparesis, for MGUS and SMM, respectively. Using these independent variables, we have identified 3 risk categories in MGUS (PFS at 5 years of 2%, 10%, and 46%, respectively; P< .001) and SMM patients (PFS at 5 years of 4%, 46%, and 72%, respectively; P < .001). Our results show that multiparameter FC evaluation of BMPC at diagnosis is a valuable tool that could help to individualize the follow-up strategy for MGUS and SMM patients.

Clinical outcomes for multiple myeloma (MM) are highly heterogeneous and it is now clear that pivotal genetic events are the primary harbingers of such variation. These findings have broad implications for counseling, choice of therapy and the design and interpretation of clinical investigation. Indeed, as in acute leukemias and non-hodgkins lymphoma, we believe it is no longer acceptable to consider MM a single disease entity. As such, the accurate diagnosis of MM subtypes and the adoption of common criteria for the identification and stratification of MM patients has become critical. Herein, we provide a consensus high-risk definition and offer practical guidelines for the adoption of routine diagnostic testing. Although acknowledging that more refined classifications will continue to be developed, we propose that the definition of high-risk disease (any of the t(4;14), t(14;16), t(14;20), deletion 17q13, aneuploidy or deletion chromosome 13 by metaphase cytogenetics, or plasma cell labeling index >3.0) be adopted. This classification will identify most of the 25% of MM patients for whom current therapies are inadequate and for whom investigational regimens should be vigorously pursued. Conversely, the 75% of patients remaining have more favorable outcomes using existing - albeit non-curative - therapeutic options.

To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature.

Multiple myeloma is a neoplasm of mature and immature plasma cells. A 50-year-old woman with lumbago, dysphagia, and left arm pain was presented. Upper endoscopical examination was performed. There was an exudate-covered ulcer in the distal esophagus, located at 30-32 cm from the incisors, covering the whole mucosa. Histopathological examination of the specimens obtained from the lesion showed the involvement of plasma cells consistent with multiple myeloma of IgG kappa subtype. Esophageal involvement of multiple myeloma should be kept in mind in patients presenting with dysphagia.

To identify genetic events underlying the genesis and progression of multiple myeloma (MM), we conducted a high-resolution analysis of recurrent copy number alterations (CNAs) and expression profiles in a collection of MM cell lines and outcome-annotated clinical specimens. Attesting to the molecular heterogeneity of MM, unsupervised classification using nonnegative matrix factorization (NMF) designed for array comparative genomic hybridization (aCGH) analysis uncovered distinct genomic subtypes. Additionally, we defined 87 discrete minimal common regions (MCRs) within recurrent and highly focal CNAs. Further integration with expression data generated a refined list of MM gene candidates residing within these MCRs, thereby providing a genomic framework for dissection of disease pathogenesis, improved clinical management, and initiation of targeted drug discovery for specific MM patients.

Non-Hodgkin lymphoma (NHL) consists of a heterogeneous group of tumors. Population-based data on the familial risk for specific histopathologic subtypes have not been established. Such data are useful for clinical counseling and for searching tumor subtypes sharing common genetic pathways. We used the Swedish Family-Cancer Database to calculate standardized incidence ratios (SIRs) for histopathology-specific subtypes of NHL in 4455 offspring with NHL whose parents or siblings were affected with different types of lymphoproliferative malignancies. A familial history of NHL significantly increased the risk for NHL (SIRparent = 1.8; SIRsibling = 1.9) and for diffuse large B-cell lymphoma (SIRparent = 2.3), follicular lymphoma (SIRsibling = 2.3), and B-cell lymphoma not otherwise specified (NOS) (SIRsibling = 3.4). For a parental history of histopathology-specific concordant cancer, the risks were significantly increased for diffuse large B-cell lymphoma (SIR = 11.8), follicular NHL (SIR = 6.1), plasma cell myeloma (SIR = 2.5), and chronic lymphocytic leukemia (SIR = 5.9). Familial clusters for NHL seemed stronger in females and in siblings. Our study provides the first quantification of the familial risks for NHL by histopathology. The present findings give evidence for a strong familial association of NHL, with little differences in the magnitude of risks for various histopathologic subtypes. The patterns of risks in parents and siblings support the hypothesis of an autosomal-dominant component for diffuse large B-cell NHL and a recessive one for follicular NHL.

Multiple myeloma is a tumor of somatically mutated, isotype-switched plasma cells that accumulate in the bone marrow leading to bone destruction and bone marrow failure. The germinal center processes of somatic hypermutation and switch recombination are implicated in the development of recurrent immunoglobulin gene translocations in 40% of patients. These affect five loci: 11q13, 6p21, 4p16, 16q23 and 20q11, leading to dysregulation of CCND1, CCND2, FGFR3/MMSET, c-MAF and MAFB respectively. The remaining 60% of patients can be divided into four groups based on their expression of CCND1 and CCND2. The largest group (40%) ectopically express CCND1 bi-allelically and have hyperdiploidy with multiple trisomies of chromosomes 3, 5, 7, 9, 11, 15, 19 and 21. The translocation and cyclin D (TC) groups identify patients with different genetics, biology, clinical features, prognosis and response to therapy.

To identify genes linked to normal plasma cell (PC) differentiation and to classify multiple myeloma (MM) with respect to the expression patterns of these genes, we analyzed global mRNA expression in CD19-enriched B cells (BCs) from 7 tonsils, CD138-enriched PCs from 11 tonsils, 31 normal bone marrow samples, and 74 MM bone marrow samples using microarrays interrogating 6800 genes. Hierarchical clustering analyses with 3288 genes clearly segregated the 4 cell types, and chi-square and Wilcoxin rank sum tests (P <.0005) identified 359 and 500 previously defined and novel genes that distinguish tonsil BCs from tonsil PCs (early differentiation genes [EDGs]), and tonsil PCs from bone marrow PCs (late differentiation genes [LDGs]), respectively. MM as a whole was found to have dramatically variable expression of EDGs and LDGs, and one-way analysis of variance (ANOVA) was used to identify the most variable EDGs (vEDGs) and LDGs (v1LDG and v2LDG). Hierarchical cluster analysis with these genes revealed that previously defined MM gene expression subgroups (MM1-MM4) could be linked to one of the 3 normal cell types. Clustering with 30 vEDGs revealed that 13 of 18 MM4 cases clustered with tonsil BCs (P =.000 05), whereas 14 of 15 MM3 cases clustered with tonsil PCs when using 50 v1LDG (P =.000 008), and 14 of 20 MM2 cases clustered with bone marrow PCs when using 50 v2LDG (P =.000 09). MM1 showed no significant linkage with normal cell types studied. Thus, genes whose expression is linked to distinct transitions in late-stage B-cell differentiation can be used to classify MM.

Bone marrow plasma cells (PCs) from 74 patients with newly diagnosed multiple myeloma (MM), 5 with monoclonal gammopathy of undetermined significance (MGUS), and 31 healthy volunteers (normal PCs) were purified by CD138(+) selection. Gene expression of purified PCs and 7 MM cell lines were profiled using high-density oligonucleotide microarrays interrogating about 6800 genes. On hierarchical clustering analysis, normal and MM PCs were differentiated and 4 distinct subgroups of MM (MM1, MM2, MM3, and MM4) were identified. The expression pattern of MM1 was similar to normal PCs and MGUS, whereas MM4 was similar to MM cell lines. Clinical parameters linked to poor prognosis, abnormal karyotype (P =.002) and high serum beta(2)-microglobulin levels (P =.0005), were most prevalent in MM4. Also, genes involved in DNA metabolism and cell cycle control were overexpressed in a comparison of MM1 and MM4. In addition, using chi(2) and Wilcoxon rank sum tests, 120 novel candidate disease genes were identified that discriminate normal and malignant PCs (P <.0001); many are involved in adhesion, apoptosis, cell cycle, drug resistance, growth arrest, oncogenesis, signaling, and transcription. A total of 156 genes, including FGFR3 and CCND1, exhibited highly elevated ("spiked") expression in at least 4 of the 74 MM cases (range, 4-25 spikes). Elevated expression of these 2 genes was caused by the translocation t(4;14)(p16;q32) or t(11;14)(q13;q32). Thus, novel candidate MM disease genes have been identified using gene expression profiling and this profiling has led to the development of a gene-based classification system for MM.

Objective: To describe the efficacy of therapy with thalidomide, a drug that has antiangiogenic properties, in patients with relapsed multiple myeloma., Patients and Methods: We studied 16 patients (median age, 64 years) who received thalidomide for relapsed myeloma at the Mayo Clinic in Rochester, Minn, between November 1998 and August 1999. Treatment consisted of thalidomide given orally at a dose of 200 mg/d for 2 weeks, then increased by 200 mg/d every 2 weeks, up to a maximal dose of 800 mg/d., Results: The stage of myeloma at treatment was Durie-Salmon IIIA in 9 patients (56%) and IIIB in 7 (44%). The median time from myeloma diagnosis to initiation of thalidomide therapy was 32 months. In 4 patients (25%) prior stem cell transplantation had failed, and 14 (88%) had received 2 or more prior chemotherapeutic regimens before institution of thalidomide. All patients were evaluable for response. Four (25%) achieved a partial response to therapy, with a greater than 50% reduction in the serum or urine M protein level. Responses lasted 2, 4+, 8, and 10+ months. Major adverse effects included constipation, sedation, rash, and peripheral neuropathy., Conclusion: Thalidomide is an active agent in the treatment of patients with advanced myeloma.

The myelomagenic capacity of clonotypic myeloma cells in G-CSF mobilized blood was tested by xenotransplant. Intracardiac (IC) injection of NOD SCID mice with peripheral cells from 5 patients who had aggressive myeloma led to lytic bone lesions, human Ig in the serum, human plasma cells, and a high frequency of clonotypic cells in the murine bone marrow (BM). Human B and plasma cells were detected in BM, spleen, and blood. Injection of ex vivo multiple myeloma cells directly into the murine sternal BM (intraosseus injection [IO]) leads to lytic bone lesions, BM plasma cells, and a high frequency of clonotypic cells in the femoral BM. This shows that myeloma has spread from the primary injection site to distant BM locations. By using a cellular limiting dilution PCR assay to quantify clonotypic B lineage cells, we confirmed that peripheral myeloma cells homed to the murine BM after IC and IO injection. The myeloma progenitor undergoes self-renewal in murine BM, as demonstrated by the transfer of human myeloma to a secondary recipient mouse. For 6 of 7 patients, G-CSF mobilized cells from patients who have minimal disease, taken at the time of mobilization or after cryopreservation, included myeloma progenitors as identified by engraftment of clonotypic cells and/or lytic bone disease in mice. This indicates that myeloma progenitors are mobilized into the blood by cyclophosphamide/G-CSF. Their ability to generate myeloma in a xenotransplant model implies that such progenitors are also myelomagenic when reinfused into patients, and suggests the need for an effective strategy to purge them before transplant.

Immunoglobulin (Ig)M myeloma is a distinct subtype of multiple myeloma (MM) displaying clinical and pathologic features of both MM and Waldenström's macroglobulinemia (WM). Although the immunophenotypic characteristics of classic MM and WM have been reported, the surface antigen expression of IgM myeloma has not been reported. We report a case of IgM myeloma and describe its immunophenotypic profile using flow cytometry. The cells showed a hybrid MM-WM phenotype, strongly expressing CD38 but lacking CD45 and DR, typical for plasma cells; however, pan-B cell antigens CD20 and FMC7 as well as weak monoclonal surface Ig also were positive, resembling B-cell lymphoproliferative malignancies. Discordant B-cell antigen expression was present, in that pan-B antigens CD19 and CD22 were absent. In addition, B-cell activation antigen CD23, early B-precursor antigen CD10, and pan-T antigen CD5 were not expressed. Although CD20 and weak surface Ig expression have been reported in MM, FMC7 positivity has not been seen. The data therefore suggest that IgM myeloma may have a unique phenotype with characteristics of both MM and WM.

Induction therapy with standard regimens induces an average objective response (OR) rate (Southwest Oncology Group [SWOG] Criteria) of 40%-50% in patients with previously untreated multiple myeloma (MM) [1, 2]. The great majority of those who initially achieve remission eventually relapse, with less than 20% of patients being in ongoing remission at five years from time of initial therapy [1]. At least 30% of MM patients fail to adequately respond to induction chemotherapy [3, 4]. Patients may exhibit clinical deterioration, increasing paraprotein levels, increasing marrow suppression, refractory hypercalcemia or worsening renal failure while undergoing induction therapy. Patients who do not achieve an OR to induction therapy are sometimes described as "nonresponders." This group includes patients who are truly primarily resistant to front-line therapy, patients whose disease is in plateau phase at time of disease presentation, and patients who are slow responders to their induction therapy. The terms "refractory" or "advanced" are often applied to patients who have either primary resistant or relapsed disease. The lack of agreed terminology is a major stumbling block to data review and the logical planning of clinical studies. A classification of relapsed and resistant disease is proposed in Figure 1. Prolongation of median survival beyond one year in studies of therapy for refractory MM patients is rarely achieved [3-104]. Failure of current cytotoxic therapy has led to attempts to improve treatment by the investigation of mechanisms of cytotoxic drug resistance, the development of methods to identify drug-resistant MM cells, and attempts to either prevent or, once established, to circumvent drug resistance [105-109]. Recent data on cytotoxic and/or systemic radiation therapy will be reviewed.

A new monoclonal antibody which recognizes plasma cells was developed by utilizing two myeloma cell lines, KMS12PE (12PE) and KMS12BM (12BM), established from the pleural effusion and bone marrow, respectively, of the same patient. Since 12BM expresses CD20, CD38, and PCA-1 antigens, while 12PE has lost CD20, 12PE is considered to be phenotypically more mature than 12BM. The 12PE cells were used to immunize a BALB/c mouse and a MoAb was produced which was more reactive to 12PE than to 12BM. Thus, a clone, D2, was obtained. On Western blotting, D2 detected a single band of 54 kD under both reduced and non-reduced conditions. This antigen was not detected by Western blotting in peripheral blood lymphocytes that had been stimulated with pokeweed mitogen (PWM) for 7 days or in those not so stimulated. On flow cytometry, D2 detected a myeloma cell line, RPMI 8226. Another myeloma cell line, U266, was negative for D2 antigen. Staining various cell lines by D2 and other antiplasma cell antibodies, PCA-1 and CD38, showed that D2 is distinct from PCA-1 and CD38. The fresh myeloma cells of 14 myeloma patients were stained by D2 and for other plasma cell antigens. D2 strongly stained three samples obtained from patients with clinically aggressive myeloma, while CD38 stained all cases except one. PCA-1 was positive in nine samples and negative in five. PCA-1 expression was observed in plasma cells obtained from pleural effusion and peripheral blood, while PCA-1-negative cases were not found in such samples, suggesting that PCA-1 expression was related to extramedullary invasion. The morphology of the myeloma cells, classified according to Greipp's criteria, showed that there was no correlation between plasma cell antigen expression and plasma cell morphology. Analysis of D2 antigen expression should provide more information about the heterogeneity of myeloma cells.

Six hundred twelve eligible, previously untreated patients with active multiple myeloma and at least some data available for analysis were entered into a randomized trial (Southwest Oncology Group [SWOG] Phase III myeloma study 8229/30), in which the prognostic significance of pretreatment serum beta 2 microglobulin levels was evaluated. Because there was no statistically significant survival difference between the alternating and syncopating VMCP/VBAP regimens, it was possible to evaluate serum beta 2 microglobulin for the total population all together. The serum beta 2 microglobulin measurements showed the highest significance of any prognostic factor, both in the bivariate and multivariate regression analyses. The median survival was 36 months for the 322 patients with pretreatment serum beta 2 microglobulin values of less than 6 micrograms/mL, as compared with a median survival of 23 months for the 225 patients with a beta 2 level of greater than or equal to 6 mcg/mL (P less than .0001). The stepwise multiple regression model first contained serum beta 2 microglobulin, followed by serum albumin, serum calcium, age, and serum creatinine. Serum beta 2 microglobulin was highly correlated with stage: median values ranged from 3.7 micrograms/mL for stage IA, to 10.1 for stage IIIB. It was possible to stratify myeloma patients based on combinations of serum beta 2 microglobulin with both albumin and age, producing excellent separation of patients into low-, intermediate-, and high-risk categories. It is concluded that serum beta 2 microglobulin is the most powerful prognostic factor currently available for multiple myeloma and that it can be used alone or in combination with other variables for pretreatment stratification.

A case of multiple myeloma producing IgD-M component with light chains of lambda type is reported. It involved the skeleton and was complicated by compression of the spinal cord and massive extension to the pleura. The urine contained lambda Bence Jones protein. Under the electron microscope, the neoplastic plasma cells showed dissociation between nuclear and cytoplasmic maturation.