Role of immune-related conditions in smoldering myeloma and MGUS.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 8104-8104 ◽  
Author(s):  
Mary Kwok ◽  
Neha Korde ◽  
Elisabet E. Manasanch ◽  
Manisha Bhutani ◽  
Irina Maric ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
High Risk ◽  
Mayo Clinic ◽  
Plasma Cells ◽  
Risk Model ◽  
Expression Patterns ◽  
Autoimmune Disorder ◽  
Epidemiological Studies ◽  
Smoldering Myeloma

8104 Background: Recent guidelines emphasize tailored follow-up and the need for clinical trials for high-risk smoldering myeloma (SMM). Emerging evidence from epidemiological studies suggests that immune-related conditions play a role in the causation of myeloma precursor disease (SMM and monoclonal gammopathy of undetermined significance; MGUS) and are of clinical importance for the risk of developing multiple myeloma. The aim of our study is to assess whether there is an altered biology in SMM/MGUS patients with preceding immune-related conditions. Methods: From our ongoing prospective SMM/MGUS natural history study, we evaluated 56 SMM and 60 MGUS patients. Information on autoimmunity was identified at baseline. All patients underwent extensive clinical and molecular characterization. At baseline, all patients underwent bone marrow biopsy evaluation using immunohistochemistry and multi-color flow cytometry of plasma cells. We assessed expression patterns of adverse plasma cell markers (CD56 and CD117), and applied risk models based on serum immune markers and bone marrow findings. Results: Among enrolled SMM and MGUS patients, 7 (12%) and 9 (15%) had a preceding autoimmune disorder. We found SMM patients with (vs. without) a preceding autoimmune disorder to have a substantially lower rate of CD56 (28% vs. 61%) and CD117 (28% vs. 61%) expressing plasma cells. When we compared the same markers in MGUS patients, CD56 and CD117 expression patterns were similar among patients with vs. without preceding autoimmunity (10% vs. 17%, and 50% vs. 48%). Using the Mayo Clinic risk model, none of the SMM patients with a preceding autoimmune disorder had high-risk features; in contrast, 3/41 (7%) of those without a preceding autoimmune disorder were high-risk SMM. Using the Mayo Clinic risk model, none of the MGUS patients were high-risk independent of autoimmune status. Conclusions: Our prospective clinical study found SMM patients with preceding immune-related conditions to have less adverse biology, supportive of epidemiological studies suggesting the risk of developing multiple myeloma is substantially lower in these patients.

Altered Plasma Cell Characteristics in Smoldering Myeloma and MGUS Patients with Preceding Immune-Related Conditions

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 4006-4006
Author(s):  
Mary L Kwok ◽  
Neha Korde ◽  
Elisabet E. Manasanch ◽  
Aaron W. Flanders ◽  
Irina Maric ◽  
...  
Keyword(s):  
Bone Marrow ◽  
High Risk ◽  
Plasma Cell ◽  
Mayo Clinic ◽  
Plasma Cells ◽  
Risk Model ◽  
Autoimmune Disorder ◽  
Epidemiological Studies ◽  
Newly Diagnosed ◽  
Smoldering Myeloma

Abstract Abstract 4006 Background Emerging evidence from epidemiological studies suggests that immune-related conditions play a role in the causation of multiple myeloma (MM) precursor disease (smoldering myeloma, SMM; and monoclonal gammopathy of undetermined significance, MGUS) and is of clinical importance for the risk of developing MM. Recent guidelines emphasize tailored follow-up and the need for clinical trials for high-risk SMM. Aim of our study was to assess whether there is an altered biology in SMM/MGUS patients with preceding immune-related conditions. Methods From our ongoing prospective SMM/MGUS natural history study, we evaluated 85 SMM and 74 MGUS patients. Information on autoimmunity was identified at baseline. All patients underwent extensive clinical and molecular characterization. At baseline, all patients underwent bone marrow biopsy evaluation with immunohistochemistry and were assessed for expression patterns of adverse (CD56, CCND1, CD117) plasma cell biology, and applied risk-models based on serum immune markers and bone marrow characteristics. For the purpose of comparison, SMM/MGUS patients were compared to 29 patients newly diagnosed MM. Results Among enrolled SMM and MGUS patients, 10 (12%) and 12 (16%) had a preceding autoimmune disorder; 75 (88%) of SMM and 62 (84%) of MGUS patients did not have a preceding autoimmune disorder. In accordance with our previous findings, we found SMM/MGUS patients with (vs. without) preceding autoimmune disorders to have substantially lower rates of CD56 (p=0.004), CCND1 (p=0.02) and CD117 (p=0.11) expressing plasma cells. For SMM and MGUS patients with preceding autoimmunity, the proportion of CD56, CCND1 and CD117 positive plasma cells was virtually the same. Compared to newly diagnosed MM patients, MGUS or SMM patients with a preceding autoimmune disorder had significantly lower rates of CD56 (p=0.04) and CCND1 (p=0.06) expressing plasma cells; SMM patients without preceding autoimmunity were non-differential from newly diagnosed MM. For SMM patients without preceding autoimmunity newly diagnosed MM patients, the proportion of CD56, CCND1 and CD117 positive plasma cells was very similar. Using Mayo Clinic risk-model, none of the SMM patients with a preceding autoimmune disorder had high-risk features; in contrast, 3/75 (4%) of those without a preceding autoimmune disorder were high-risk SMM. Using Mayo-Clinic risk model, none of the MGUS patients were high-risk independent of autoimmune status. Conclusions Our prospective clinical study found SMM patients with preceding immune-related conditions to have less adverse biology, whereas SMM patients without preceding immune-related conditions to have characteristics similar to patients with MM, supportive of epidemiological studies suggesting the risk of developing MM is substantially lower in patients with preceding autoimmunity. Disclosures: No relevant conflicts of interest to declare.

scholarly journals Smoldering multiple myeloma: evolving diagnostic criteria and treatment strategies

Hematology ◽  
2021 ◽  
Vol 2021 (1) ◽  
pp. 673-681
Author(s):  
Alissa Visram ◽  
Joselle Cook ◽  
Rahma Warsame
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Risk Stratification ◽  
Risk Model ◽  
Treatment Strategies ◽  
Progression Free Survival ◽  
Free Survival ◽  
Smoldering Myeloma ◽  
Insight Into ◽  
Made In

Abstract The adage for smoldering myeloma (SMM) has been to observe without treatment, until criteria for active multiple myeloma were satisfied. Definitions and risk stratification models have become more sophisticated, with prognostication tailored to include high-risk cytogenetics as per the most recent International Myeloma Working Group 2020 risk model. Moreover, progress in defining genomic evolution and changes in the bone marrow microenvironment through the monoclonal continuum have given insight into the complexities underlying the different patterns of progression observed in SMM. Given recent data showing improved progression-free survival with early intervention in high-risk SMM, the current dilemma is focused on how these patients should be treated. This case-based article maps the significant advancements made in the diagnosis and risk stratification of SMM. Data from landmark clinical trials will also be discussed, and ongoing trials are summarized. Ultimately, we outline our approach to SMM and hope to impart to the reader a sound concept of the current clinical management of SMM.

Combination Therapy with Lenalidomide, Bortezomib, Liposomal Doxorubicin and Dexamethasone (LBlipDD) May Overcome Resistance to Prior Treatment with Doxorubicin, Lenalidomide, and Bortezomib in High-Risk Multiple Myeloma (MM).

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 4838-4838
Author(s):  
Reinhard Ruckser ◽  
Georg Tatzreiter ◽  
Elvira Kitzweger ◽  
Karin Strecker ◽  
Stefan Hraby ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
High Risk ◽  
Combination Therapy ◽  
Liposomal Doxorubicin ◽  
Bone Marrow Aspirate ◽  
Plasma Cells ◽  
Who Grade ◽  
Normal Value ◽  
Serum Igg

Abstract Introduction: Lenalidomide (Revlimid®) plus dexamethasone therapy and single-agent bortezomib therapy are approved for the treatment of relapsed/refractory multiple myeloma (MM) patients. A recent phase II trial has shown activity of lenalidomide/bortezomib/dexamethasone in patients with relapsed/refractory MM (Richardson, IMW 2007). Here, we present a case report on the efficacy of combination therapy with lenalidomide, bortezomib, liposomal doxorubicin, and dexamethasone in a patient who was refractory to prior treatments with bortezomib, lenalidomide, and doxorubicin. Methods and Results: A male patient (58 years) presented with IgG-lambda MM in June 2006. Laboratory tests at diagnosis showed total protein of 123g/L (normal value, 66–87 g/L) and a serum IgG of 87.3g/l (normal value, 7–16 g/L). The patient had t(11;14)(q13;q32) translocation and a del13q14, and bone marrow aspirate showed >90% plasma cells. From July 2006 to March 2007, the patient received 3 different chemotherapy treatment regimens (VAD: vincristine, Adriamycin® [doxorubicin], dexamethasone; VDD: Velcade® [bortezomib], doxorubicin, dexamethasone; and LD: lenalidomide, dexamethasone). He showed primary resistance to VAD treatment and developed resistance after 3 and 5 cycles of VDD and LD, respectively. At that point, the patient’s free light chain (fLCh) concentration was 2,320 mg/L (normal value, 5.7–26.3 mg/L). We changed the patient’s treatment regimen to the 4-fold combination of lenalidomide plus bortezomib plus liposomal doxorubicin (lipD) plus dexamethasone (LBlipDD), (lenalidomide 25 mg day 1–21, bortezomib 1mg/m2 day 1+4+8+11, lipD 50 mg/m2 day 4, dexamethasone 40 mg day 1+2+4+5+8+9+11+12; q28 days). The patient received 3 cycles of LBlipDD from May 2007 to July 2007. This treatment combination was well tolerated with no WHO grade 3 or 4 adverse events. The patient was reassessed after 3 treatment cycles. FISH showed a complete eradication of the former cytogenetic abnormalities, bone marrow aspirate showed <5% plasma cells and serum analysis demonstrated a normalized serum IgG value, and a decrease in the fLCh from 2,320 to 173 mg/L. The patient is for the first time transfusion independent and in very good clinical condition. High-dose melphalan with autologous stem cell support is currently planned. Conclusion: Treatment with LBlipDD leads to a good remission in a VAD-, VDD- and LD-resistant patient. The present observation suggests that the use of 4-fold combination of lenalidomide, bortezomib, liposomal doxorubicin, and dexamethasone can be effective in high-risk MM patients and warrants further investigation.

Intra-Tumoral Heterogeneity In Multiple Myeloma Gleaned From Gene Expression Profiling Analysis Of Plasma Cells and Bone Marrow Biopsies: Comparison Of Random Bone Marrow Samples and CT-Guided Fine Needle Aspirations Of MRI-Defined Focal Lesions

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 3123-3123
Author(s):  
Bart Barlogie ◽  
Emily Hansen ◽  
Sarah Waheed ◽  
Jameel Muzaffar ◽  
Monica Grazziutti ◽  
...  
Keyword(s):  
Gene Expression ◽  
Multiple Myeloma ◽  
Bone Marrow ◽  
High Risk ◽  
Gene Expression Profiling ◽  
Expression Profiling ◽  
Plasma Cells ◽  
P Value ◽  
Focal Lesions ◽  
Molecular Subgroup

Abstract Intra-tumoral heterogeneity (ITH) is increasingly viewed as the Achilles heel of treatment failure in malignant disease including multiple myeloma (MM). Most MM patients harbor focal lesions (FL) that are recognized on MRI long before bone destruction is detectable by conventional X-ray examination. Serial MRI examinations show that eventually 60% of patients will achieve resolution of FL (MRI-CR). However, this will lag behind the onset of a clinical CR by 18 to 24 months, thus attesting to the biological differences between FL and diffuse MM growth patterns. Consequently, we performed concurrent gene expression profiling (GEP) analyses of plasma cells (PC) from both random bone marrow (RBM) via iliac crest and FL. Our primary aims were to first compare the molecular profiles of FL vs. RBM, second to determine if ITH existed (as defined molecular subgroup and risk), and finally to investigate if the bone marrow micro-environment (ME) contained a biologically interesting signature. A total of 176 patients were available for this study with a breakdown of: TT3 (n=23), TT4 for low-risk (n=131) and TT5 for high-risk MM (n=22). Regarding the molecular analyses of PCs, GEP-based risk (GEP-70, GEP-5) and molecular subgroup correspondence were examined for commonalties and differences between RBM and FL. A “filtering” approach for ME genes was also developed and bone marrow biopsy (BMBx) GEP data derived from this method is under analysis. PC risk correspondence between FL and RBM was 86% for GEP70 and 88% for the GEP5 model. Additionally, 82% had a molecular subgroup concordance, however, they did differ among subgroups (p=0.020) by Fisher's Exact Test. A lower concordance was noted in the CD2, LB, and PR subgroups (67%, 69%, 73%, respectively). GEP70 and GEP5 risk concordance between RBM and FL samples by molecular subgroup was also examined. The overall correlation coefficients were 0.619 (GEP70) and 0.597 (GEP5). The best correspondence was noted for CD1, MF and PR subgroups especially for the GEP5 model. HY, LB and MS showed intermediate correlations, while CD2 fared worst with values of only 0.322 for GEP70 and 0.267 for GEP5 model. Figure 1 portrays these data in more detail for the GEP70 and GEP5 models. Good correlations were noted between RBM and FL based risk scores in case of molecular subgroup concordance (left panels) in both GEP5 and GEP70 risk models, whereas considerable scatter existed in case of subgroup discordance (right panels). The clinical implications in TT4 regarding RBM and FL derived risk and molecular subgroup information, viewed in the context of standard prognostic baseline variables are portrayed in Table 1. High B2M levels at both cut-points imparted inferior OS and PFS as did low hemoglobin. Although present in 42% of patients, cytogenetic abnormalities (CA) did not affect outcomes. FL-based GEP5-defined high-risk designation conferred poor OS and PFS. B2M>5.5mg/L and FL-derived GEP5 high-risk MM, pertaining to 29% and 11% of patients, survived the multivariate model for both OS and PFS. Next, in examining PC-GEP differences among RBM and FL sites, 199 gene probes were identified with a false discovery rate (FDR) of 1x10-6. Additionally, 55 of the 199 belong to four molecular networks of inter related genes associated with: lipid metabolism, cellular movement, growth and proliferation, and cell-to-cell interactions. Multivariate analysis identified the GEP5 high risk designation of focal lesion PCs to be significantly prognostic with a HR=3.73 (p=0.023).Table 1Cox regression analysis of variables linked to overall and progression-free survival in TT4.Overall SurvivalProgression-Free SurvivalVariablen/N (%)HR (95% CI)P-valueHR (95% CI)P-valueMultivariateB2M > 5.5 mg/L38/130 (29%)3.71 (1.49, 9.22)0.0053.84 (1.58, 9.31)0.003FL GEP5 High Risk14/130 (11%)3.68 (1.19, 11.41)0.0243.73 (1.20, 11.62)0.023HR- Hazard Ratio, 95% CI- 95% Confidence Interval, P-value from Wald Chi-Square Test in Cox RegressionNS2- Multivariate results not statistically significant at 0.05 level. All univariate p-values reported regardless of significance.Multivariate model uses stepwise selection with entry level 0.1 and variable remains if meets the 0.05 level.A multivariate p-value greater than 0.05 indicates variable forced into model with significant variables chosen using stepwise selection. Disclosures: No relevant conflicts of interest to declare.

Rising Plasma Cell Proliferation By Ki67/CD138 Ratio at Relapse Is a Marker of High Risk Disease in Multiple Myeloma

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 2991-2991
Author(s):  
Peter A. Forsberg ◽  
Tomer M Mark ◽  
Sujitha Yadlapati ◽  
Adriana C Rossi ◽  
Roger N Pearse ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Cell Proliferation ◽  
Overall Survival ◽  
High Risk ◽  
Plasma Cell ◽  
Plasma Cells ◽  
Initial Therapy ◽  
First Line ◽  
High Risk Disease

Abstract Background: Assessment of malignant plasma cell cycling via plasma cell labeling index (PCLI) has been a validated prognostic tool in multiple myeloma (MM) for years but utilization remains limited. We recently developed a novel immunohistochemical (IHC) co-staining technique for CD138 and Ki67 expression to quantify plasma cells in active cycling. Previously presented results from newly diagnosed patients demonstrate that having an elevated ratio of plasma cells in active cycle by co-expression of CD138 and Ki67 (>5%) is associated with aggressive disease and poor outcomes including shorter overall survival (OS). The expansion of subclones with higher proliferative capacity following initial therapy may be an indicator of a higher risk relapse event and indicate poor prognosis. Here we assess MM patients (pts) with Ki67/CD138 co-staining on bone marrow samples both at diagnosis and relapse to assess the impact of changes in cell cycling ratio on outcomes with subsequent therapy and overall clinical course. Methods: A retrospective cohort study of pts with treated symptomatic MM was performed by interrogation of the clinical database at the Weill Cornell Medical College / New York Presbyterian Hospital (WCMC/NYPH). For inclusion in the analysis, pts must have had bone marrow evaluation with double-staining for Ki67 and CD138 by immunohistochemistry both at diagnosis and relapse. Pts must have completed their first line and relapse treatments at WCMC/NYPH. The Ki67% was calculated as the ratio of plasma cells expressing CD138 that were also found to express Ki67. Treatment outcomes were stratified and compared based on alterations in Ki67% between diagnosis and relapse. Results: We identified 37 pts with bone marrow sampling that was evaluated for CD138 and Ki67 co-expression both at diagnosis and at the time of relapse. These pts had undergone a median of 2 lines of prior treatment at the time of relapse bone marrow biopsy (range 1-7). 19 pts were identified to have a rising Ki67% between diagnosis and relapse defined at a 5% or greater increase, the other 18 pts had stable or decreased Ki67%. Pts with a rising Ki67% at relapse had a shorter OS with a median of 72 months vs not reached (p=0.0069), Figure 1. Pts who had rising Ki67% at relapse had shorter progression free survival (PFS) on first line treatment with a median of 25 vs 47 months (p=0.036), Figure 2. Additionally pts with rising Ki67% had a trend towards shorter PFS with the treatment they received after relapse with median of 12.5 vs 3.5 months (p=0.09). Relapse regimens were most commonly carfilzomib (n=9), pomalidomide (5) or ixazomib (4) based. 37% of pts (7/19) with rising Ki67% achieved PR or better on relapsed treatment vs 67% (12/18) with stable Ki67%. Discussion: The presence of clonal evolution and selection of higher risk clones under therapeutic pressure in multiple myeloma is a key feature of disease progression. The ability to improve risk stratification at the time of relapse may help guide clinical decision making to best suit individual patient needs. We have identified rising plasma cell proliferation through quantification of Ki67/CD138 co-expression at relapse to be a useful marker of high risk disease evolution. This appears to help identify the emergence of higher risk clones which are ultimately responsible for treatment resistant disease. Patients with rising Ki67% were more likely than patients with stable Ki67% to have early relapses to initial therapy, were less likely to achieve responses to relapse regimens or to maintain their response and had shorter overall survival. Further evaluation is needed to identify if different approaches to patients with increasing proliferation may improve outcomes in these patients. Figure 1. Figure 1. Figure 2. Figure 2. Disclosures Mark: Calgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Rossi:Calgene: Speakers Bureau. Pearse:Celegen: Consultancy. Pekle:Celgene: Speakers Bureau; Takeda: Speakers Bureau. Perry:Celgene: Speakers Bureau; Takeda: Speakers Bureau. Coleman:Celgene: Speakers Bureau; Takeda: Speakers Bureau. Niesvizky:Celgene: Consultancy, Speakers Bureau.

The Prognostic Significance of Polyclonal Bone Marrow Plasma Cells in Patients with Actively Relapsing Multiple Myeloma

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1194-1194
Author(s):  
Toshi Ghosh ◽  
Wilson I Gonsalves ◽  
Dragan Jevremovic ◽  
S. Vincent Rajkumar ◽  
Michael M. Timm ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Flow Cytometry ◽  
High Risk ◽  
Research Funding ◽  
Plasma Cells ◽  
Labeling Index ◽  
Light Chains ◽  
Fish Cytogenetics ◽  
Kaplan Meier

Abstract Background: Prior studies suggest that the presence of >5% polyclonal plasma cells (pPCs) among total plasma cells (PCs) within the bone marrow (BM) is associated with a longer progression-free survival, higher response rates, and lower frequency of high-risk cytogenetic abnormalities in patients with newly diagnosed multiple myeloma (MM). However, the incidence and prognostic utility of this factor in patients with relapsed and/or refractory MM has not been previously evaluated. Thus, we evaluated the prognostic value of quantifying the percentage of pPCs among the total PCs in the BM of patients with actively relapsing MM. Methods: We evaluated all MM patients with actively relapsing disease (biochemical and/or symptomatic) seen at the Mayo Clinic, Rochester, from 2012 to 2013, who had BM samples evaluated by seven-color multiparametric flow cytometry. All patients had at least 24 months of follow-up from the date of flow evaluation. Cell surface antigens were assessed by direct immunofluorescence antibodies for CD45, CD19, CD38, CD138, cytoplasmic Kappa and Lambda Ig light chains, and DAPI nuclear stain. The flow cytometry data was collected using the Becton Dickinson FACSCanto II instruments that analyzed 150,000 events (cells); this data was then analyzed by multi-parameter analysis using the BD FACS DIVA Software. PCs were selectively analyzed through combinatorial gating using light scatter properties and CD38, CD138, CD19, and CD45. Clonal PCs were separated from pPCs based on the differential expression of CD45, CD19, DAPI (in non-diploid cases), and immunoglobulin light chains. The percentage of pPCs was calculated in total PCs detected. Survival analysis was performed by the Kaplan-Meier method and differences were assessed using the log rank test. Results: There were 180 consecutive patients with actively relapsing MM who had BM biopsies analyzed via flow cytometry as part of their routine clinical evaluation. The median age of this group was 65 years (range: 40 - 87); 52% were male. At the time of this analysis, 104 patients had died, and the 2-year overall survival (OS) rate for the cohort was 58%. The median number of therapies received was 4 (range: 1 - 15). Of these patients, 61% received a prior ASCT, and almost all (99%) received prior regimens containing either immunomodulators or proteasome inhibitors. There were 55 (30%) patients with >5% pPCs among the total PCs in their BM. The median percentage of pPCs among total PCs in these 55 patients was 33% (range: 5 - 99). The median OS for those with >5% pPCs was not reached compared with 22 months for those with <5% pPCs (P = 0.028; Figure 1). Patients with <5% pPCs PCs had a higher likelihood of high-risk FISH cytogenetics compared with the rest of the patients. In a univariate analysis, increasing number of pPCs was associated with an improved OS, while higher labeling index, number of prior therapies, and the presence of high-risk FISH cytogenetics were associated with a worse OS. In a multivariate analysis, only the increasing number of pPCs (P = 0.006), higher labeling index (P = 0.0002) and number of prior therapies (P = 0.003) retained statistical significance. Conclusion: Quantitative estimation of the percentage of pPCs among the total PCs in the BM of patients with actively relapsing MM was determined to be a predictor of worse OS. As such, this parameter is able to identify a group of patients with MM with actively relapsing disease who have a particularly poor outcome. Further studies evaluating its biological significance are warranted. Figure 1 Kaplan-Meier curve comparing OS between patients with ≥5% pPCs and <5% pPCs among the total PCs in their BM. Figure 1. Kaplan-Meier curve comparing OS between patients with ≥5% pPCs and <5% pPCs among the total PCs in their BM. Disclosures Kapoor: Celgene: Research Funding; Amgen: Research Funding; Takeda: Research Funding. Gertz:Prothena Therapeutics: Research Funding; Novartis: Research Funding; Alnylam Pharmaceuticals: Research Funding; Research to Practice: Honoraria, Speakers Bureau; Med Learning Group: Honoraria, Speakers Bureau; Celgene: Honoraria; NCI Frederick: Honoraria; Sandoz Inc: Honoraria; GSK: Honoraria; Ionis: Research Funding; Annexon Biosciences: Research Funding. Kumar:AbbVie: Research Funding; Noxxon Pharma: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Onyx: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; Millennium: Consultancy, Research Funding; Kesios: Consultancy; Glycomimetics: Consultancy; BMS: Consultancy.

scholarly journals How I treat smoldering multiple myeloma

Blood ◽  
2014 ◽  
Vol 124 (23) ◽  
pp. 3380-3388 ◽  
Author(s):  
Irene M. Ghobrial ◽  
Ola Landgren
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Clinical Trials ◽  
Plasma Cells ◽  
Current Knowledge ◽  
Bone Marrow Niche ◽  
Course Of Disease ◽  
Smoldering Myeloma ◽  
Patient Enrollment

Abstract Smoldering myeloma is a heterogeneous clinical entity where a subset of patients has an indolent course of disease that mimics monoclonal gammopathy of undermined significance, whereas others have a more aggressive course that has been described as “early myeloma.” It is defined as either serum M-protein ≥3 g/L or ≥10% monoclonal plasma cells in the bone marrow. There are currently no molecular factors to differentiate risks of progression for these patients. Current recommendations of therapy continue to be patient observation or patient enrollment in clinical trials. However, new definitions of active multiple myeloma recently agreed upon by the International Myeloma Working Group may alter the timing of therapy. On the basis of emerging data of therapy in these patients, it seems reasonable to believe that future recommendations for therapy of patients with smoldering myeloma will become an increasingly important topic. In this article, we review the current knowledge of this disease and risk factors associated with progression. We also examine biological insights and alterations that occur in the tumor clone and the surrounding bone marrow niche. Finally, we review clinical trials that have been performed in these patients and provide recommendations for follow-up of patients with this unique disease entity.

scholarly journals Prevalence of Smoldering Multiple Myeloma: Results from the Iceland Screens, Treats, or Prevents Multiple Myeloma (iStopMM) Study

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 151-151
Author(s):  
Sigrun Thorsteinsdottir ◽  
Gauti Kjartan Gislason ◽  
Thor Aspelund ◽  
Sæmundur Rögnvaldsson ◽  
Jon Thorir Thorir Oskarsson ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
High Risk ◽  
Risk Stratification ◽  
Light Chain ◽  
Research Funding ◽  
Plasma Cells ◽  
Population Based ◽  
M Protein ◽  
Screening Study

Abstract Background Smoldering multiple myeloma (SMM) is an asymptomatic precursor condition to multiple myeloma (MM). Emerging data from clinical trials indicate that - compared to watchful monitoring - initiation of therapy at the SMM stage might be indicated. Currently, there is no established screening for SMM in the general population and therefore patients are identified incidentally. Here, we define for the first time, epidemiological and clinical characteristics of SMM in the general population based on a large (N&gt;75,000) population-based screening study. Methods The iStopMM study (Iceland Screens Treats or Prevents Multiple Myeloma) is a nationwide screening study for MM precursors where all residents in Iceland over 40 years of age and older were invited to participate. Participants with a positive M-protein on serum protein electrophoresis (SPEP) or an abnormal free light chain (FLC) analysis entered a randomized controlled trial with three arms. Participants in arm 1 continued care in the Icelandic healthcare system as though they had never been screened. Arms 2 and 3 were evaluated at the study clinic with arm 2 receiving care according to current guidelines. In arm 3 bone marrow testing and whole-body low-dose CT (WBLDCT) was offered to all participants. SMM was defined as 10-60% bone marrow plasma cells on smear or trephine biopsy and/or M-protein in serum ≥3 g/dL, in the absence of myeloma defining events. Participants in arm 3 were used to estimate the prevalence of SMM as bone marrow biopsy was performed in all participants of that arm when possible. The age- and sex-specific prevalence was determined with a fitted function of age and sex, and interaction between those. Diagnosis at baseline evaluation of the individuals in the study was used to define the point prevalence of SMM. Results Of the 148,704 individuals over 40 years of age in Iceland, 75,422 (51%) were screened for M-protein and abnormal free light chain ratio. The 3,725 with abnormal screening were randomized to one of the three arms, and bone marrow sampling was performed in 1,503 individuals. A total of 180 patients were diagnosed with SMM, of which 109 (61%) were male and the median age was 70 years (range 44-92). Of those, a total of 157 (87%) patients had a detectable M-protein at the time of SMM diagnosis with a mean M-protein of 0.66 g/dL (range 0.01-3.5). The most common isotype was IgG in 101 (56%) of the patients, 44 (24%) had IgA, 2 (1%) had IgM, and 5 (3%) had biclonal M-proteins. A total of 24 (13%) patients had light-chain SMM. Four patients (2%) had a negative SPEP and normal FLC analysis at the time of SMM diagnosis despite abnormal results at screening. A total of 131 (73%) patients had 11-20% bone marrow plasma cells at SMM diagnosis, 32 (18%) had 21-30%, 9 (5%) had 31-40%, and 8 (4%) had 41-50%. Bone disease was excluded with imaging in 167 (93%) patients (MRI in 25 patients, WBLDCT in 113 patients, skeletal survey in 27 patients, FDG-PET/CT in 1 patient), 13 patients did not have bone imaging performed because of patient refusal, comorbidities, or death. According to the proposed 2/20/20 risk stratification model for SMM, 116 (64%) patients were low-risk, 47 (26%) intermediate-risk, and 17 (10%) high-risk. A total of 44 (24%) had immunoparesis at diagnosis. Using the PETHEMA SMM risk criteria on the 73 patients who underwent testing with flow cytometry of the bone marrow aspirates; 39 (53%) patients were low-risk, 21 (29%) patients were intermediate-risk, and 13 (18%) patients were high-risk. Out of the 1,279 patients randomized to arm 3, bone marrow sampling was performed in 970, and 105 were diagnosed with SMM (10.8%). The prevalence of SMM in the total population was estimated to be 0.53% (95% CI: 0.49-0.57%) in individuals 40 years of age or older. In men and women, the prevalence of SMM was 0.70% (95% CI: 0.64-0.75%) and 0.37% (95% CI: 0.32-0.41%), respectively, and it increased with age in both sexes (Figure). Summary and Conclusions Based on a large (N&gt;75,000) population-based screening study we show, for the first time, that the prevalence of SMM is 0.5% in persons 40 years or older. According to current risk stratification models, approximately one third of patients have an intermediate or high risk of progression to MM. The high prevalence of SMM has implications for future treatment policies in MM as treatment initiation at the SMM stage is likely to be included in guidelines soon and underlines the necessity for accurate risk stratification in SMM. Figure 1 Figure 1. Disclosures Kampanis: The Binding Site: Current Employment. Hultcrantz: Daiichi Sankyo: Research Funding; Amgen: Research Funding; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees, Research Funding; Curio Science LLC: Consultancy; Intellisphere LLC: Consultancy. Durie: Amgen: Other: fees from non-CME/CE services ; Amgen, Celgene/Bristol-Myers Squibb, Janssen, and Takeda: Consultancy. Harding: The Binding Site: Current Employment, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties. Landgren: Janssen: Research Funding; Janssen: Other: IDMC; Celgene: Research Funding; Takeda: Other: IDMC; Janssen: Honoraria; Amgen: Honoraria; Amgen: Research Funding; GSK: Honoraria. Kristinsson: Amgen: Research Funding; Celgene: Research Funding.

scholarly journals A Multicenter Phase II Single Arm Trial of Isatuximab in Patients with High Risk Smoldering Multiple Myeloma (HRSMM)

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3116-3116 ◽  
Author(s):  
Elisabet E. Manasanch ◽  
Sundar Jagannath ◽  
Hans C. Lee ◽  
Krina K. Patel ◽  
Connor Graham ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Plasma Cells ◽  
Infusion Reaction ◽  
Advisory Committees ◽  
Myeloma Cells ◽  
History Of ◽  
Smoldering Myeloma

Background High risk smoldering multiple myeloma (HRSMM), defined as having immunoparesis and at least 95% abnormal plasma cells/all plasma cells by advanced flow cytometry, has a risk of progression to multiple myeloma of about 75% after 5 years of diagnosis. These patient have no symptoms and current standard is to follow them without treatment. Isatuximab is an IgG1 monoclonal antibody that binds to CD38 highly expressed in myeloma cells. Isatuximab has activity as monotherapy (overall response rate (ORR) 35%), with lenalidomide/dexamethasone (ORR 56%) and pomalidomide/dexamethasone (ORR 62%) in relapsed MM. We designed a phase II study to test the efficacy of isatuximab in high risk smoldering myeloma. Our study is registered in clinicaltrials.gov as NCT02960555. Methods The primary endpoint of the study is the ORR of isatuximab 20 mg/kg IV days 1, 8, 15, 22 cycle 1; days 1, 15 cycles 2-6 and day 1 cycles 7-30 in high risk smoldering myeloma. 24 patients were accrued in the first stage (of maximum 61 patients). Secondary endpoints are PFS, OS, clinical benefit rate (CBR). Exploratory endpoints are quality of life analysis (QoL), MRD, molecular/immune characterization using DNA/RNA sequencing of myeloma cells and the microenvironment before and after treatment. Results 24 patients with HRSMM were accrued from 02/08/2017 until 12/21/2018 (Table 1). All patients are evaluable for response. Best responses: ORR (≥PR) 15(62.5%), CR MRD- flow at 10-5 1 (5%), VGPR 4 (17%), PR 10 (42%), minor response (MR) 4 (18%), stable disease 5 (21%); CBR (≥MR) 79%. Median number of cycles received were 11.5 (range 6-30). Five patients have stopped treatment (one has completed the study, one with heavy history of smoking was diagnosed with squamous cell cancer of the tongue, one could no longer travel to treatments due to relocation, two progressed to active multiple myeloma after 16 and 6 cycles of treatment, respectively). There have been no deaths. DNA/RNA seq is ongoing for biomarkers of response. There were 5 grade 3 severe treatment-related adverse events (RAE) which resolved to baseline: dyspnea -related to infusion reaction (n=2), headache (n=1), ANC decrease (n=1), urinary tract infection (n=1). Most common grade 1-2 related adverse events (n): nausea (7), vomit (5), WBC decrease (3), diarrhea (3), fatigue (6), headache (4), mucositis (4), myalgia (4) and infusion reaction (3). In patients with available QoL functional scores (n=9 at baseline and n=7 after 6 months of therapy), isatuximab was effective in reducing their anxiety and worry of progression to multiple myeloma. Isatuximab also improved general QoL scores by the end of cycle 6 of treatment which were now comparable to those in the general population (Figure 1). Conclusion Isatuximab is very well tolerated, results in high response rates in HRSMM and has the potential to change the natural history of this disease. In ongoing QoL analysis, initial data shows improvement in QoL and decreased cancer worry after isatuximab treatment. Immune-genomic analysis is ongoing and may identify patients that benefit the most from treatment. Disclosures Manasanch: celgene: Honoraria; merck: Research Funding; quest diagnostics: Research Funding; sanofi: Research Funding; BMS: Honoraria; Sanofi: Honoraria. Jagannath:Multiple Myeloma Research Foundation: Speakers Bureau; BMS: Consultancy; Celgene: Consultancy; Novartis: Consultancy; Medicom: Speakers Bureau; Merck: Consultancy. Lee:Daiichi Sankyo: Research Funding; Celgene: Consultancy, Research Funding; GlaxoSmithKline plc: Research Funding; Sanofi: Consultancy; Takeda: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Janssen: Consultancy, Research Funding. Patel:Poseida Therapeutics, Cellectis, Abbvie: Research Funding; Oncopeptides, Nektar, Precision Biosciences, BMS: Consultancy; Takeda, Celgene, Janssen: Consultancy, Research Funding. Kaufman:Janssen: Other: travel/lodging, Research Funding. Thomas:Xencor: Research Funding; BMS: Research Funding; Celgene: Research Funding; Amgen: Research Funding. Mailankody:Takeda Oncology: Research Funding; Juno: Research Funding; Celgene: Research Funding; Janssen: Research Funding; CME activity by Physician Education Resource: Honoraria. Lendvai:Janssen: Employment. Neelapu:Acerta: Research Funding; Celgene: Consultancy, Research Funding; BMS: Research Funding; Kite, a Gilead Company: Consultancy, Research Funding; Incyte: Consultancy; Merck: Consultancy, Research Funding; Allogene: Consultancy; Cellectis: Research Funding; Poseida: Research Funding; Karus: Research Funding; Pfizer: Consultancy; Unum Therapeutics: Consultancy, Research Funding; Novartis: Consultancy; Precision Biosciences: Consultancy; Cell Medica: Consultancy. Orlowski:Poseida Therapeutics, Inc.: Research Funding. Landgren:Sanofi: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Adaptive: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Theradex: Other: IDMC; Abbvie: Membership on an entity's Board of Directors or advisory committees; Merck: Other: IDMC. OffLabel Disclosure: Isatuximab for the treatment of smoldering myeloma

scholarly journals Non-Invasive Liquid Biopsy to Quantify and Molecularly Characterize Circulating Multiple Myeloma Cells in the Assessment of Precursor Disease Pathology

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 78-78
Author(s):  
Ankit K. Dutta ◽  
Elizabeth D. Lightbody ◽  
Ziao Lin ◽  
Jean-Baptiste Alberge ◽  
Romanos Sklavenitis-Pistofidis ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
High Risk ◽  
Molecular Characterization ◽  
Peripheral Blood ◽  
Plasma Cells ◽  
Whole Genome ◽  
Myeloma Cells ◽  
Molecular Analyses ◽  
Non Invasive

Abstract Introduction: Multiple Myeloma (MM) is an incurable hematologic malignancy characterized by the abnormal growth of clonal plasma cells in the bone marrow (BM). In most cases MM develops from early, asymptomatic disease stages known as Monoclonal Gammopathy of Undetermined Significance (MGUS) and Smoldering Multiple Myeloma (SMM). Despite effective new therapies, most MM patients inevitably relapse and require further treatment, highlighting the need for better early detection methods for precursor patients and targeted interventions to prevent early disease from progressing. The initial diagnosis of MGUS/SMM remains an incidental process following the identification of increased clonal immunoglobulin in the blood. BM biopsy is the gold standard for diagnosis and monitoring of MM progression, but is intrusive, painful, and comes with possible secondary complications for patients. Consequently, repeated assessment is not a feasible option for MGUS and SMM patients who are asymptomatic. Here we tested the utility of circulating multiple myeloma cells (CMMCs) from non-invasive blood biopsy to accompany BM as a method to monitor disease development, by enumerating CMMCs from MGUS/SMM patients. Methods: Peripheral blood from 185 precursor patients (75 MGUS and 110 SMM) from the Dana-Farber Cancer Institute observational PCROWD study (IRB #14-174) was collected in CellRescue TM Preservative Tubes and processed on the CellSearch CellTracks Autoprep system using the CMMC assay kit using 4mL of blood. This assay employs the enrichment of CMMCs through the immunophenotype of CD138 +CD45 -19 -, and leukocyte exclusion based on CD45 +CD19 +. Nucleated cells were identified using DAPI staining. The CellTracks Analyzer II fluorescence microscope system was subsequently used to scan captured CMMC cartridges, with software allowing the automated scoring and enumeration of CMMCs. Additional molecular analyses were carried out on SMM patients. Briefly, minipools of CMMCs were sorted by DEPArray and underwent whole genome amplification using Ampli1 kit, PCR-free library construction, quantification and low pass whole genome sequencing (~0.5x) on the Illumina HiSeq2500. To assess whether molecular analyses can be performed to detect hyperdiploidy as a genomic biomarker of MM disease, ichorCNA analyses was performed to determine copy number variant (CNV) events and infer tumour fraction. Results: CMMCs were detected in 27% of MGUS patients collected, with a median count of 2 CMMCs (range 0 to 1328). Comparably, CMMCs were detected in 57% of SMM patients, with a median enumeration of 13 CMMCs (range 0 to 43836). Enumeration of CMMCs illustrated a correlation with clinical measure of disease including the International Myeloma Working Group 2/20/20 risk stratification model. A higher CMMC count was associated with increasing risk group based on the 3-risk factor model, with a median of 5, 29 and 59 CMMCs detected at low, intermediate, and high-risk SMM groups, respectively. CMMC counts were significantly increased at intermediate (P = 5.0 x 10 -4) and high-risk stages (P = 3.7 x 10 -3) compared to low-risk. While enumeration provides a correlative measure of CMMCs that may be of tumor origin, downstream molecular characterization can confirm MM-associated genetic alterations. At the precursor stages, a low tumour burden is evident clinically, thus both normal and malignant plasma cells are present. Therefore, to determine the concordance between bone marrow and peripheral blood CMMCs, we performed genomic analyses to identify arm level gain or loss events. Molecular analyses of CMMCs was carried out in patients who had matched BM and clinical fluorescent in situ hybridization (FISH) results. We showed that CMMCs can capture 100% of clinically annotated BM FISH CNV events. Furthermore, CMMC samples identified additional yield, with further CNVs identified that were not observed by FISH. In cases that did not have BM biopsy results, sequencing of CMMCs revealed the existence of genetic aberrations. Conclusion: Our results demonstrate clinical correlation and molecular characterization of CMMCs from MGUS/SMM patients. This study provides a foundation for non-invasive detection, enumeration and genomic interrogation of rare CMMCs from the peripheral blood of MGUS/SMM, illustrating the clinical potential of using liquid biopsies for monitoring and managing disease in the precursor setting of MM. Disclosures Getz: IBM, Pharmacyclics: Research Funding; Scorpion Therapeutics: Consultancy, Current holder of individual stocks in a privately-held company, Membership on an entity's Board of Directors or advisory committees. Ghobrial: AbbVie, Adaptive, Aptitude Health, BMS, Cellectar, Curio Science, Genetch, Janssen, Janssen Central American and Caribbean, Karyopharm, Medscape, Oncopeptides, Sanofi, Takeda, The Binding Site, GNS, GSK: Consultancy.

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