Prognostic factors in multiple myeloma: definition of risk groups in 410 previously untreated patients: a Grupo Argentino de Tratamiento de la Leucemia Aguda study.

1989 ◽  
Vol 7 (12) ◽  
pp. 1839-1844 ◽  
Author(s):  
C Corrado ◽  
M T Santarelli ◽  
S Pavlovsky ◽  
M Pizzolato
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Renal Function ◽  
Prognostic Factors ◽  
Plasma Cells ◽  
Performance Status ◽  
Univariate Analysis ◽  
Staging System ◽  
Risk Groups ◽  
Bone Marrow Plasma

Four hundred ten previously untreated multiple myeloma patients entered onto two consecutive Grupo Argentino de Tratamiento de la Leucemia Aguda (GATLA) protocols were analyzed to identify significant prognostic factors influencing survival. The univariate analysis selected the following variables: performance status, renal function, percentage of bone marrow plasma cells at diagnosis, hemoglobin, and age. A multivariate analysis showed that performance status, renal function, percentage of bone marrow plasma cells, hemoglobin, and age were the best predictive variables for survival. A score was assigned to each patient according to these variables, which led to their classification in three groups: good, intermediate, and poor risk, with a probability of survival of 26% and 10% at 96 months, and 5% at 56 months, and median survival of 60, 37, and 14 months, respectively (P = .0000). In our patient population, this model proved to be superior to the Durie-Salmon staging system in defining prognostic risk groups, and separating patients with significantly different risks within each Durie-Salmon stage.

scholarly journals The Association of International Staging System (ISS) Stage with Disease and Symptom Burden in Patients with Newly Diagnosed Multiple Myeloma

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 2115-2115
Author(s):  
Mark A Fiala ◽  
Michael Slade ◽  
Jesse Keller ◽  
Keith Stockerl-Goldstein ◽  
Michael Tomasson ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Plasma Cells ◽  
Performance Status ◽  
Symptom Burden ◽  
Staging System ◽  
Stage I ◽  
Stage Iii ◽  
Newly Diagnosed ◽  
Bone Marrow Plasma ◽  
International Staging System

Abstract Background: The clinical presentation of multiple myeloma (MM) varies greatly but often includes bone pain, anemia, renal dysfunction, hypercalcaemia, and/or constitutional symptoms. There are no signs or symptoms that are disease specific. The earliest staging system for MM, the Durie-Salmon (DS), associated disease and symptom burden with prognosis; however, it has been largely replaced by the International Staging System (ISS), which is easier to compute and better identifies patients with the poorest prognosis. It is unclear if ISS stage, like DS, is associated with disease or symptom burden. Objective: To compare disease and symptom burden of patients with newly diagnosed MM by ISS Stage. Methods: Data was extracted from the open-access Multiple Myeloma Research Foundation (MMRF) Researcher Gateway corresponding with interim analysis 6 from the CoMMpass study. The CoMMpass study is enrolling 1000 newly diagnosed MM patients who will be tracked longitudinally for 5 years. CoMMpass collects relevant clinical data and patient reported quality of life (EORTC QLQ-C30 and QLQ-MY20), as well as sequential tissue samples. Eligibility requirements for CoMMpass include: symptomatic MM with measureable disease by SPEP (≥1.0g/dL), UPEP (≥200mg/24 hours), or SFLC (≥10mg/dL); receiving an immunomodulator and/or a proteasome inhibitor for initial MM treatment; and no prior malignancies in the past 5 years. All clinical data was reported by trained data analysts at the enrolling center with the exception of flow cytometry which was performed centrally; raw lab values for beta-2 microglobulin and albumin were entered and stage was subsequently calculated by the analysts for this study according to the ISS (Greipp et al, JCO 2005). Twenty-six patients with unknown ISS were excluded from the analysis. Data was analyzed using SPSS 21. Categorical variables were compared using χ2, continuous with one-way ANOVA tests. Results: 599 patients were eligible for analysis. Sex, race, and heavy and light chain isotypes were all evenly distributed among the ISS stages; however, median age for ISS stage III was 67, 65 for stage II and 62 for stage I (p<0.001). Stage I and II patients were similar in disease burden, but stage III patients had higher serum M-proteins (p<0.001), LDH (p=0.002), bone marrow plasma cells (p<0.001), circulating plasma cells (p<0.001), and creatinine (p<0.001), and lower hemoglobin (p<0.001) and platelets (p=0.001). Further, stage III patients had poorer performance status (p<0.001), global health (p<0.001), physical functioning (p<0.001), social functioning (p<0.001), and role functioning (p<0.001), and increased fatigue (p<0.001) and pain (p=0.016). Results are summarized in Table 1. Conclusions: Stage III had a higher disease and symptom burden than stage I and II patients. Stage I and II patients were similar in most measures suggesting that ISS may not discriminate between these groups well, this is supported by other studies that have failed to find outcomes differences between stage I and II patients. Table 1. Stage I n= 204 Stage II n = 210 Stage IIIn = 185 p Demographics Age in years 62 65 67 <0.001 Male 64% 57% 62% NS Race NS White 80% 83% 74% Black 19% 13% 23% Other 2% 3% 3% Heavy Chain NS IgG 80% 80% 75% IgA 20% 20% 25% Light Chain NS Kappa 65% 61% 60% Lambda 34% 38% 38% Biclonal 1% 2% 2% Disease Burden Serum M-Protein g/dL 1.9 2.0 3.2 <0.001 LDH μkat/L 2.7 2.8 3.0 0.002 Bone Marrow Plasma Cells* 7% 9% 13% <0.001 Circulating Plasma Cells* 0% 0% 0.1% <0.001 Calcium mmol/L 2.4 2.3 2.4 <0.001 Creatinine μmol/L 82 88 149 <0.001 Hgb mmol/L 7.4 6.4 5.8 <0.001 Platelets x109/L 222 212 199 .001 Bone Lesions 61% 52% 53% NS Symptom Burden/Quality of Life Measures ECOG Performance Status <0.001 0 47% 42% 22% 1 49% 42% 54% 2 5% 8% 15% 3-4 0% 8% 9% Global Health Scale 66 66 50 <0.001 Physical Functioning Scale 86 80 63 <0.001 Cognitive Functioning Scale 83 83 83 NS Emotional Functioning Scale 75 75 75 NS Social Functioning Scale 83 83 66 <0.001 Role Functioning Scale 66 66 50 <0.001 Disease Symptom Scale 27 22 27 NS Fatigue Scale 33 33 44 <0.001 Pain Scale 33 33 42 0.016 Note-Median presented unless specified. *- CD38+/CD138+ by flow cytometry Disclosures Vij: Takeda, Onyx: Research Funding; Celgene, Onyx, Takeda, Novartis, BMS, Sanofi, Janssen, Merck: Consultancy.

scholarly journals Multiple myeloma: circulating lymphocytes that express plasma cell antigens

Blood ◽  
1984 ◽  
Vol 64 (2) ◽  
pp. 352-356
Author(s):  
GJ Ruiz-Arguelles ◽  
JA Katzmann ◽  
PR Greipp ◽  
NJ Gonchoroff ◽  
JP Garton ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Plasma Cell ◽  
Peripheral Blood ◽  
Plasma Cells ◽  
Peripheral Blood Lymphocytes ◽  
Tumor Burden ◽  
B Cell Differentiation ◽  
Blood Lymphocytes ◽  
Bone Marrow Plasma

The bone marrow and peripheral blood of 14 patients with multiple myeloma were studied with murine monoclonal antibodies that identify antigens on plasma cells (R1–3 and OKT10). Peripheral blood lymphocytes expressing plasma cell antigens were found in six cases. Five of these cases expressed the same antigens that were present on the plasma cells in the bone marrow. Patients that showed such peripheral blood involvement were found to have a larger tumor burden and higher bone marrow plasma cell proliferative activity. In some patients, antigens normally found at earlier stages of B cell differentiation (B1, B2, and J5) were expressed by peripheral blood lymphocytes and/or bone marrow plasma cells.

Abstract 4762: Deficient double strand breaks repair of bone marrow plasma cells correlates with better clinical outcome of multiple myeloma patients

2014 ◽  
Author(s):  
Maria Gkotzamanidou ◽  
Masood Shammas ◽  
Evangelos Terpos ◽  
Sathees C. Raghavan ◽  
Kenneth C. Anderson ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Clinical Outcome ◽  
Plasma Cells ◽  
Double Strand Breaks ◽  
Strand Breaks ◽  
Bone Marrow Plasma

scholarly journals PD-L1 expression in bone marrow plasma cells as a biomarker to predict multiple myeloma prognosis: developing a nomogram-based prognostic model

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Byung-Hyun Lee ◽  
Yong Park ◽  
Ji Hye Kim ◽  
Ka-Won Kang ◽  
Seung Jin Lee ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Prognostic Model ◽  
Plasma Cells ◽  
Bone Marrow Plasma

Increased Expression of Cyclin-D1 on Trephine Bone Marrow Biopsies Independently Predicts for Shorter Overall Survival In Patients with Multiple Myeloma Treated with Novel Agents

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 2965-2965
Author(s):  
Evangelos Terpos ◽  
Maria Roussou ◽  
Anna Tasidou ◽  
Magdalini Migkou ◽  
Maria Gavriatopoulou ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Overall Survival ◽  
Cyclin D1 ◽  
Plasma Cells ◽  
Univariate Analysis ◽  
Novel Agents ◽  
Positive Staining ◽  
Newly Diagnosed ◽  
Immunohistochemical Expression

Abstract Abstract 2965 The cyclin-D1 proto-oncogene is an important cell regulator of G1 to S phase progression. The overexpression of cyclin-D1 has been linked to the development and progression of several malignancies. The aim of our study was to evaluate the impact of the immunohistochemical expression of cyclin-D1on the plasma cells of trephine biopsies on survival of newly-diagnosed patients with multiple myeloma (MM) who were treated with novel agents. We evaluated formalin-fixed, paraffin-embedded, bone marrow sections of 130 consecutive patients with newly-diagnosed MM (67M/63F; median age 68 years) before any kind of therapy administration. One hundred and fifteen patients had symptomatic disease that required therapy: 29 (25%) received bortezomib-based regimens and 31 (26%) received thalidomide-based regimens as first line therapy, while all patients received regimens containing bortezomib or an IMiD at some point during the course of their disease. Immunohistochemistry was performed in all trephine biopsies using monoclonal antibodies against cyclin-D1 (Cell Marque Corp., Rocklin, CA, USA), but also against CD56 (Cell Marque Corp., Rocklin, CA, USA), CD27 (Novocastra, Newcastle upon Tyne, UK), CD117 and MUM-1 (DAKO A/S, Glostrup, Denmark), as recommended by the manufacturers. A case was considered positive if there was unequivocal positive staining of at least 20% of the plasma cells for cyclin-D1, CD56 and MUM-1 and a positive staining of at least 10% of the plasma cells for CD117 and CD27. Among patients with symptomatic myeloma (N=115), positive staining for cyclin-D1 was found in 35 (30%) patients, for CD56 in 45 (39%), for CD117 in 94 (81%) and for CD27 in 72 (62%) patients. In patients with asymptomatic myeloma, positive staining for Cyclin-D1 was found only in 1 (7%) patient, for CD56 in 9 (64%), and for CD117 in 6 (43%) (p<0.01 for all comparisons compared to symptomatic patients). There were significant positive correlations between positivity for CD27 and CD56 (p<0.001), between positivity for cyclin-D1 and CD117 (p=0.045) and a negative correlation between positivity for CD117 and CD56 (p=0.001). We also observed significant correlations between CD56 positivity and ISS-1 or ISS-2 (p=0.01) and between CD117 positivity and ISS-3 disease (p=0.002). The median overall survival (OS) for patients with symptomatic MM was 57 months (range 22–120 months). In the univariate analysis, positivity for cyclin-D1 (41 vs. 62 months, p=0.03) and for CD117 (50 vs. 75 months p=0.018) were associated with inferior survival, while positivity for CD56 (47 vs. 62 months, p=0.286), MUM-1 (52.7 vs. 63.8 months, p=0.528) and CD27 (57 vs. 50 months, p=0.445) were not. Other factors associated with inferior OS, in the univariate analysis, included ISS-3 (median OS 37 months, vs. 57 months for ISS-2 and 73 months for ISS-1, p=0.005), Hb <10 g/dl (56 vs. 73 months, p=0.044), corrected serum calcium >11.5 g/dl (29 vs. 62 months, p=0.02), serum LDH above upper normal limit (31 vs. 61 months, p=0.05), serum creatinine >2 mg/dl (26 vs. 64 months, p=0.007), low platelet counts (<100,000/ml) (22 vs. 62 months, p=0.031) and age >65 years (45 months vs. not reached for younger patients, p=0.002). In the multivariate analysis, positivity for cyclin-D1 (HR: 2.6; p=0.001), ISS stage (HR: 1.8; p=0.001) and age >65 (HR 2.7, p=0.003) were independently associated with inferior survival. Immunohistochemistry for cyclin-D1 identified subgroups of patients in ISS-2 and in ISS-3 who had extremely poor outcome. Patients with cyclin-D1 positivity had a median survival of 22 months in ISS-2 (vs. 64 months for the rest of ISS-2 patients, p=0.01) and of 13 months in ISS-3 (vs. 47 months for the rest of ISS-3, p=0.012). Our findings underline that the immunohistochemical expression of cyclin-D1 in the bone marrow trephine biopsies has independent prognostic value in MM patients, even in the era of novel agents. This marker can easily be assessed in patients who undergo a trephine biopsy as part of their initial evaluation and offers significant prognostic information. Furthermore, novel agents targeting cyclin-D1 may be of therapeutic value in MM. Disclosures: No relevant conflicts of interest to declare.

Serum Free Light Chain Ratio in Distinguishing Smoldering Multiple Myeloma From Active Multiple Myeloma,

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 3948-3948
Author(s):  
Jeremy T Larsen ◽  
Shaji Kumar ◽  
S. Vincent Rajkumar
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Predictive Value ◽  
Plasma Cells ◽  
Organ Damage ◽  
End Organ Damage ◽  
Cut Point ◽  
Smoldering Multiple Myeloma ◽  
Bone Marrow Plasma

Abstract Abstract 3948 Background: Smoldering multiple myeloma (SMM) is an asymptomatic precursor disease of multiple myeloma, and is defined by excess bone marrow plasma cells and monoclonal protein without evidence of end-organ damage (hypercalcemia, renal insufficiency, anemia, or bone lesions [CRAB]). The identification of SMM patients with more aggressive underlying disease remains a challenge. We hypothesize that SMM is a clinical entity comprised of both premalignant, high-risk MGUS and early multiple myeloma in transition to malignant disease, which may be differentiated with the use of the serum FLC (FLC) ratio. Methods: This was a retrospective analysis of 586 patients with newly diagnosed SMM from 1970–2010 with available stored serum samples around the time of diagnosis to be utilized for quantification of FLC ratios. SMM was defined by the International Myeloma Working Group 2003 definition; serum M-protein ≥ 3 g/dL and/or ≥ 10% bone marrow plasma cells with no evidence of CRAB features. The immunoglobulin FLC assay (Binding Site, U.K.) was used for testing. The FLC ratio was calculated as κ/λ (reference range 0.26–1.65). The involved/uninvolved FLC ratio was recorded to simplify the reporting of data. Receiver Operating Characteristics (ROC) curves were created to assess the ability of the FLC ratio to discriminate patients who progressed to symptomatic multiple myeloma (MM) in the first 2 years or at any point during follow-up versus patients without evidence of progression. Patients with less than 24 months follow-up without progression were censored. The optimal diagnostic cut-point for FLC involved/uninvolved ratio to identify patients with progressive disease from the ROC curve was >88.6 (equivalent to <0.011 or >88.6). For ease of clinical application, the optimal value for involved/uninvolved FLC ratio was rounded to >100. Time to progression (TTP) from date of the initial FLC to active MM was calculated using Kaplan-Meier analysis and compared to patients with a high (>100) and low (<100) involved/uninvolved FLC ratio at time of SMM diagnosis. TTP within 24 months of the initial FLC was also calculated. Results: During the study period, 54% of patients progressed to active MM. On ROC analysis, a cut-point of >100 corresponded to a sensitivity of 25% (95% CI, 20.5–30.4) and specificity of 99.3% (97.3–99.9), with positive likelihood (+LR) ratio of 33.9 (38.1–41.0), negative likelihood ratio (−LR) of 0.75 (0.2–3.0), positive predictive value (PPV) of 97.6 (91.5–99.7) and negative predictive value of 53.0 (48.5–57.4). Using the ROC to assess progression to MM within 24 months (Figure 1), sensitivity was 29.6% (23.5–36.4), specificity 94.5% (91.7–96.5), +LR 5.36 (4.3–6.6), -LR 0.75 (0.5–1.1), PPV 85.8 (77.7–91.8), and NPV 54.3 (49.8–58.9). Median TTP to active MM in the FLC >100 group was 15 months (9–17) versus 52 months (44–60) in the FLC <100 group (p <.0001) [Figure 2]. In the FLC ratio >100 group, progression at 1 year was 47%, 76% at 2 years, and 90% at 3 years. Only 25% of the FLC <100 patients had progressed at 2 years. The most common progression event was bone disease (42%), followed by anemia (26%), renal impairment (23%), and hypercalcemia (5%). Conclusion: Elevation of the FLC ratio >100 (or <0.01) is highly specific for the future development of active MM, with 76% of these patients developing end-organ damage requiring therapy within 2 years. Risk of transformation to MM in the FLC <100 group was similar to previously reported rates of 10% per year for the first 5 years. Development of an FLC ratio >100 is associated with increasing disease burden and in this study behaved in a malignant fashion rather than a precursor state. The FLC is a simple and useful predictor of progression to MM in SMM, and patients with FLC ratios of <0.01 or >100 within the first 2 years of SMM diagnosis should be monitored especially closely. Future studies are needed to determine optimum cutoffs for FLC ratio to where a change in definition of MM could be considered. Disclosures: No relevant conflicts of interest to declare.

Metabolomics Identifies Potential Biomarkers of Multiple Myeloma Development and Progression

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 3985-3985
Author(s):  
Francesca Fontana ◽  
Josè Manuel garcia Manteiga ◽  
Magda Marcatti ◽  
Francesca Lorentino ◽  
Giovanni Tonon ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Plasma Cells ◽  
Conflicts Of Interest ◽  
In Vitro Tests ◽  
Incurable Cancer ◽  
Disease Evolution ◽  
Cell Counts ◽  
Bone Marrow Plasma ◽  
Active Disease

Abstract Abstract 3985 Multiple myeloma is a malignancy of plasma cells, which grows at multiple foci in the bone marrow, secretes monoclonal immunoglobulins, and typically induces skeletal destruction, hypercalcemia, anemia, and renal failure. Although it remains an incurable cancer, novel therapeutic regimens have improved overall survival in the last decade. Multiple myeloma originates from post germinal center, terminally differentiated B lymphocytes through a multi-step process involving early and late genetic changes. Multiple myeloma is preceded by monoclonal gammopathy of undetermined significance (MGUS), a frequent age-progressive premalignant expansion of bone marrow plasma cells that behave benignly despite the presence of most myeloma-specific genetic abnormalities. Indeed, development and progression of multiple myeloma are believed to rely on vicious interactions with the bone marrow environment, offering a paradigm to investigate the bone-cancer relationship. In particular, bone and stromal cells are known to be diverted by cancer cells through altered cytokine circuitry. The resulting enhanced osteoclastogenesis and neoangiogenesis, and reduced osteoblast differentiation and activity sustain cancer cell survival, proliferation, migration and chemoresistance. Such crucial interactions, however, have only partially been elucidated in their complexity, dynamics and exact role in disease evolution. A better knowledge of this interplay, still elusive, could help identify prognostic markers, pathomechanisms, and therapeutic targets for future validation. Aiming to achieve an unbiased, comprehensive assessment of the extracellular milieu during multiple myeloma genesis and progression, we performed a metabolomic analysis of patient-derived peripheral and bone marrow plasma by ultra high performance liquid and gas chromatography followed by mass spectrometry. By feature transformation-based multivariate analyses, metabolic profiling of both peripheral and bone marrow plasma successfully discriminated active disease from control conditions (health, MGUS or remission). Moreover, both central and peripheral metabolic scores significantly correlated with bone marrow plasma cell counts. Significant changes in the peripheral metabolome were found to be associated with abnormal renal function in the subset of myeloma patients. Noteworthy, however, renal dysfunction-associated features failed to independently predict disease load, while non-overlapping disease vs. control analyses consistently identified a number of metabolites associated with disease. Among these, increased levels of the C3f-derived peptide, HWESASLL, and loss of circulating lysophosphocholines emerged as hallmarks of active disease. In vitro tests on myeloma cell lines and primary patient-derived cells revealed a previously unsuspected direct trophic role exerted by lysophosphocholines on malignant plasma cells. Altogether, our data demonstrate that metabolomics is a powerful approach suitable for studying the complex interactions of multiple myeloma with the bone marrow environment and general metabolism. This novel strategy holds potential to identify unanticipated markers and pathways involved in development and progression of multiple myeloma. Disclosures: No relevant conflicts of interest to declare.

The Frequency of Genetic Anomalies According to Clonal Plasma Cells' Phenotype in Patients with Newly Diagnosed (ND) Multiple Myeloma (MM)

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 5316-5316
Author(s):  
Andrei Garifullin ◽  
Irina Martynkevich ◽  
Sergei Voloshin ◽  
Alexei Kuvshinov ◽  
Ludmila Martynenko ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Plasma Cells ◽  
Conflicts Of Interest ◽  
Risk Group ◽  
Risk Groups ◽  
Fish Analysis ◽  
Newly Diagnosed ◽  
Definition Of ◽  
Standard Risk

Abstract Background. Genetic anomalies (GA) are primary link of pathogenesis in MM. GA lead to formation of clonal plasma cells, which has different phenotype. Aim. To estimate the incidence of GA and their correlation with clonal plasma cells' phenotype in patients with ND MM. Methods. We analysed 22 patients with ND MM (median age 57 years, range 38-80; male/female - 1:1.75). Cytogenetic analysis was performed on bone marrow samples using standard GTG-method. Metaphase FISH analysis was performed according to the manufacturer's protocol using DNA probes: LSI 13(RB1)13q14, IGH/CCND1, IGH/FGFR3, LSI TP53 (17q13.1). 8-color immunophenotypic by flow cytometry using antibody to CD45, CD38, CD138, CD56, CD19, CD20, CD27 and CD117 antigenes. Results. Translocation t(11;14) was detected in 3/14 (21.4%) patients, del(13q) - 2/14 (14.3%), t(11;14) - 3/14 (21.4%), hypodyploidy - 1/20 (5%), del(17р) - 0% patients. Clonal plasma cells' phenotype CD38+CD138+CD45- was detected in 100%. Expression CD56+ was revealed in 11/22 (50%) patients, CD19+ in 9/22 (40.9%), CD117+ in 5/22 (22.7%), CD20+ in 1/22 (4.5%), CD27+ in 1/22 (4.5%). The frequency of GA didn't depend on clonal plasma cells' phenotype and was 27.3%(3/11) in CD56+ phenotype, 23.8%(5/21) - CD20-, 23.8%(5/21) - CD27-, 23.5%(4/17) - CD117-, 23%(3/13) - CD19-, 22.2%(2/9) - CD19+, 20%(1/5) - CD117+, 18.2%(2/11) - CD56-, 0%(0/1) - CD20+, 0%(0/1) - in CD27+ phenotype. Patients of standard risk group according to mSMART 2.0 with GA had CD19-negative plasma cells' phenotype vs. CD19-positive phenotype in patients of intermediate and high-risk groups (p<0.05). 3-years overall survival in standard risk group with CD19- phenotype was 92,3%, CD19+ - 77,7% (p>0.05). Conclusion . Identification of GA, which has adverse forecast, correlates with CD19+ plasma cells phenotype. The combined definition of plasma cells phenotype and GA can improve the system of risk stratification in MM. Disclosures No relevant conflicts of interest to declare.

Targeting EZH2 in Multiple Myeloma Could be Promising for a Subgroup of MM Patients in Combination with IMiDs

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 311-311 ◽  
Author(s):  
Laurie Herviou ◽  
Alboukadel Kassambara ◽  
Stephanie Boireau ◽  
Nicolas Robert ◽  
Guilhem Requirand ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Board Of Directors ◽  
Research Funding ◽  
Plasma Cells ◽  
Newly Diagnosed ◽  
Advisory Committees ◽  
Myeloma Cells ◽  
Ezh2 Expression ◽  
Bone Marrow Plasma

Abstract Multiple Myeloma is a B cell neoplasia characterized by the accumulation of clonal plasma cells within the bone marrow.Epigenetics is characterized by a wide range of changes that are reversible and orchestrate gene expression. Recent studies have shown that epigenetic modifications play a role in multiple myeloma (MM) by silencing various cancer-related genes. We investigated the epigenetic genes differentially expressed between normal bone marrow plasma cells (BMPC ; N=5) and MM plasma cells from patients (N=206). Using SAM (Significance Analysis of Microarrays) analysis, only 12 genes significantly differentially expressed between BMPC and MM cells (ratio > 2 and FDR (false discovery rate) < 5%) were identified, including the EZH2 histone methyltransferase. EZH2, the enzymatic subunit of Polycomb Repressive Complex 2, is a histone methyltransferases able to repress gene expression by catalyzing H3K27me3 histone mark. EZH2 overexpression has been associated with numerous hematological malignancies, including MM. We thus studied EZH2 role in MM physiopathology and drug resistance. EZH2 expression was analyzed in normal bone marrow plasma cells (BMPCs; N=5), primary myeloma cells from newly diagnosed patients (MMCs; N=206) and human myeloma cell lines (HMCLs; N=40) using Affymetrix microarrays. EZH2 gene is significantly overexpressed in MMCs of patients (median 574, range 105 - 4562) compared to normal BMPCs (median = 432; range: 314 - 563) (P < 0.01). The expression is even higher in HMCLs (median 4481, range 581 - 8455) compared to primary MMCs or BMPCs (P < 0.001). High EZH2 expression is associated with a poor prognosis in 3 independent cohorts of newly diagnosed patients (Heidelberg-Montpellier cohort - N=206, UAMS-TT2 cohort - N=345 and UAMS-TT3 cohort - N =158). Furthermore, GSEA analysis of patients with high EZH2 expression highlighted a significant enrichment of genes involved in cell cycle, downregulated in mature plasma cells vs plasmablasts, and EZH2 targets. Specific EZH2 inhibition by EPZ-6438 EZH2 inhibitor induced a significant decrease of global H3K27me3 in all the HMCLs tested (P < 0.01) and inhibited MM cell growth in 5 out of the 6 HMCLs tested. The inhibitory effect of EZH2 inhibitor on MM cell growth appeared at day 6 suggesting that it is mediated by epigenetic reprogramming. To confirm that EZH2 is also required for the survival of primary MMCs from patients, primary MM cells (n = 17 patients) co-cultured with their bone marrow microenvironment and recombinant IL-6 were treated with EPZ-6438. As identified in HMCLs, EZH2 inhibition significantly reduced the median number of viable myeloma cells by 35% (P = 0.004) from a subset of patients (n=9) while the other group (n=8) was resistant. Of interest, EPZ-6438 induced a significant global H3K27me3 decrease in both groups of patient. RNA sequencing of 6 HMCLs treated with EPZ-6438 combined with H3K27me3 ChIP analyses allowed us to create an EZ GEP-based score able to predict HMCLs and primary MM cells sensitivity to EZH2 inhibitors. We also observed a synergy between EPZ-6438 and Lenalidomide, a conventional drug used for MM treatment. More interestingly, pretreatment of myeloma cells with EPZ-6438 significantly re-sensitize drug-resistant MM cells to Lenalidomide. Investigating the effect of EPZ-6438/Lenalidomide combination in MMC, we identified that IKZF1, IRF4 and MYC protein levels were significantly more inhibited by the combination treatment (65.5%, 63.9% and 14.8% respectively) compared with Lenalidomide (51.5%, 43% and 2.2%) or EPZ-6438 (45.2%, 38.7% and 6.2%) alone. Clinical trials are ongoing with EZH2 inhibitors in lymphoma and could be promising for a subgroup of MM patients in combination with IMiDs. Furthermore, the EZ score enables identification of MM patients with an adverse prognosis and who could benefit from treatment with EZH2 inhibitors. Disclosures Goldschmidt: Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Onyx: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium: Membership on an entity's Board of Directors or advisory committees, Research Funding; Chugai: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees. Hose:EngMab: Research Funding; Takeda: Other: Travel grant; Sanofi: Research Funding.

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