Monoclonal antibodies in newly diagnosed and smoldering multiple myeloma: an updated review of current clinical evidence

2020 ◽  
Vol 13 (5) ◽  
pp. 501-517 ◽  
Author(s):  
Pellegrino Musto ◽  
Francesco La Rocca
Keyword(s):  
Multiple Myeloma ◽  
Monoclonal Antibodies ◽  
Clinical Evidence ◽  
Newly Diagnosed ◽  
Smoldering Multiple Myeloma

scholarly journals The Role of Monoclonal Antibodies in Smoldering and Newly Diagnosed Transplant-Eligible Multiple Myeloma

2020 ◽  
Vol 13 (12) ◽  
pp. 451
Author(s):  
Elena Zamagni ◽  
Paola Tacchetti ◽  
Paola Deias ◽  
Francesca Patriarca
Keyword(s):  
Multiple Myeloma ◽  
Monoclonal Antibodies ◽  
Immune System ◽  
Survival Outcomes ◽  
Newly Diagnosed ◽  
Cellular Targets ◽  
Recent Introduction

The recent introduction of monoclonal antibodies (MoAbs), with several cellular targets, such as CD-38 (daratumumab and isatuximab) and SLAM F7 (elotuzumab), differently combined with other classes of agents, has significantly extended the outcomes of patients with multiple myeloma (MM) in different phases of the disease. Initially used in advanced/refractory patients, different MoAbs combination have been introduced in the treatment of newly diagnosed transplant eligible patients (NDTEMM), showing a significant improvement in the depth of the response and in survival outcomes, without a significant price in terms of toxicity. In smoldering MM, MoAbs have been applied, either alone or in combination with other drugs, with the goal of delaying the progression to active MM and restoring the immune system. In this review, we will focus on the main results achieved so far and on the main on-going trials using MoAbs in SMM and NDTEMM.

scholarly journals High Throughput Genomic Analysis Identifies Low-Risk Smoldering Multiple Myeloma

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 2-2
Author(s):  
Anil Aktas-Samur ◽  
Mariateresa Fulciniti ◽  
Sanika Derebail ◽  
Raphael Szalat ◽  
Giovanni Parmigiani ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Dna Repair ◽  
High Risk ◽  
Low Risk ◽  
Newly Diagnosed ◽  
Publicly Traded ◽  
Private Company ◽  
Smoldering Multiple Myeloma ◽  
Mutational Processes

Multiple Myeloma is preceded by precursor states of monoclonal gammopathy of undermined significance (MGUS) and smoldering multiple myeloma (SMM). Studies have shown that progression to symptomatic MM five years after diagnosis is 1% for MGUS and 10% for SMM. However, based on the genomic background, this rate is highly variable, especially for SMM patients. Recent studies have evaluated the high-risk genomic features for SMM, but the genomic background of SMM patients who do not progress to MM after long-term follow-up (>= 5 years) has not been described. Here, we evaluated genomic changes enriched in non-progressor (NP) (no progression after 5 years of follow-up) precursor conditions (N=31) with those progressed within a short time (N=71) as well as newly diagnosed Myeloma (N=192). We also studied additional unique samples from 18 patients at their precursor stage as well as when progressed to Myeloma. We report a similar large-scale CN alteration in non-progressor SMM compared to progressor SMMs or MM at diagnosis. However, whole-genome sequencing data showed that the overall mutational load for non-progressor SMM samples was lower than Progressor MGUS/SMM (median SNV 5460 vs. 7018). This difference significantly increased for mutations affecting the coding regions. NP samples at diagnosis had 26% and 53% less coding mutations (missense, nonsense, and frameshift mutations) compared to progressor MGUS/SMM (p=0.008) and newly diagnosed MM (p < 0.001) respectively. We observed very low NRAS (3%, OR=8.86) and BRAF (3%, OR=2.17), mutation frequency in non-progressor SMM samples compared to newly diagnosed MM. We did not observe driver mutations in FAM46C, TTN, CYLD, TP53, KMT2C, IRF4, HIST1H1E that are otherwise frequently mutated in high-risk SMM or symptomatic MM. None of the non-progressor SMM samples had MYC alteration. We observed t(11;14), t(4;14), and t(14;16) translocations at similar frequency compared to newly diagnosed MM samples. We also observed a significant difference in non-recurrent focal deletions. Based on our recent data in newly-diagnosed MM, we quantified genomic scar score, and observed that non-progressor SMM have lower GSS (median=3,IQR=[1-9]) compared to progressor MGUS/SMM (median=11,IQR=[5-15] / median=9,IQR=[9-15], respectively) as well as MM samples at diagnosis (median=9, IQR= [5-16],p=0.002). We further validated this observation in an independent cohort with 69 SMM samples in whom progressor SMM patients had high GSS (median =4, IQR=[2-7.75]), compared to delayed progressor (> four years) or non-progressor SMM (median =1.5, IQR= [0-3.5]; p=0.029). Moreover, non-progressor SMM had significantly low utilization of APOBEC and DNA repair mutational processes. Next, we compared non- progressor SMM with progressor SMM using RNAseq data. We identified 1653 differentially expressed genes (DEG) (762 up-regulated and 891 down-regulated). Genes that were upregulated in non-progressor SMM samples were enriched in IL6/JAK/STAT3 and IL2/STAT5 signaling and the regulation of cytokine secretion. Whereas genes up-regulated in progressor SMM were enriched in MYC targets, DNA repair, and mTOR pathways. Moreover, genes that control the translational initiation, translational elongation, mitochondrial translation, and ATP control were among the top highly expressed genes in progressor SMM. We used our MGUS/SMM to MM paired samples and showed that the E2F target, MYC target, and G2/M checkpoint pathways are more active at MM. We measured the distance between progressor and non-progressor SMM as well as MM and found that non-progressor SMM is less similar to MM compared to progressor SMM. In conclusion, the global CNA and translocations are similar between progressor and non-progressor SMM and symptomatic MM and confirm their role in the development of precursor condition but not adequate for progression to MM, which requires additional hits. On the other hand, lower GSS score reflecting genomic stability along with lower SNVs, low DNA damage and APOBEC mutational processes, down-regulated MYC target genes, and low DNA repair activation define low-risk SMM. These results now provide the basis to develop a genomic definition of SMM. Disclosures Fulciniti: NIH: Research Funding. Parmigiani:Phaeno Biotehnologies: Current equity holder in publicly-traded company; CRA Health: Current equity holder in publicly-traded company; Foundation Medicine Institute: Consultancy; Delphi Diagnostics: Consultancy; BayesMendel Laboratory: Other: Co-lead. Munshi:Janssen: Consultancy; Adaptive: Consultancy; Legend: Consultancy; Amgen: Consultancy; AbbVie: Consultancy; Karyopharm: Consultancy; Takeda: Consultancy; C4: Current equity holder in private company; BMS: Consultancy; OncoPep: Consultancy, Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties.

scholarly journals The Role of Monoclonal Antibodies in the First-Line Treatment of Transplant-Ineligible Patients with Newly Diagnosed Multiple Myeloma

2020 ◽  
Vol 14 (1) ◽  
pp. 20
Author(s):  
Francesca Bonello ◽  
Mariella Grasso ◽  
Mattia D’Agostino ◽  
Ivana Celeghini ◽  
Alessia Castellino ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Monoclonal Antibodies ◽  
Clinical Practice ◽  
Elderly Patients ◽  
Residual Disease ◽  
Real Life ◽  
Newly Diagnosed ◽  
First Line ◽  
Large Variability ◽  
Wide Range

Elderly transplant-ineligible (NTE) patients represent the majority of patients affected by multiple myeloma (MM). Elderly patients are a highly heterogeneous population, with large variability in health and functional status. Thus, choosing their optimal treatment is challenging. A wide range of first-line treatments is available, and novel-agent combinations, including monoclonal antibodies (mAbs), have recently entered clinical practice. The combination of the anti-CD38 mAb daratumumab with bortezomib, melphalan and prednisone (Dara-VMP) or lenalidomide and dexamethasone (Dara-Rd) demonstrated impressive advantages in terms of progression-free survival and minimal residual disease negativity, as compared to VMP and Rd, without safety concerns. Another anti-CD38 mAb, isatuximab, is showing encouraging results, and new isatuximab-based combinations might enter clinical practice in the future. Nevertheless, available data come from clinical trials with selected patient populations and, to date, the manageability of these regimens in real-life patients or in frail patients remains unknown. Frailty-tailored treatments, including mAbs, are under evaluation in preliminary studies. In this review, we analyze recently approved mAb-based treatments for NTE newly diagnosed MM patients and new combinations under evaluation, focusing on the efficacy and safety of these regimens and on open issues regarding the choice of therapy for elderly patients.

scholarly journals Defining Genomic Probability of Progression to Identify Low-Risk Smoldering Multiple Myeloma

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 545-545
Author(s):  
Anil Aktas-Samur ◽  
Mariateresa Fulciniti ◽  
Sanika Derebail ◽  
Raphael Szalat ◽  
Giovanni Parmigiani ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
High Sensitivity ◽  
Mutational Load ◽  
Newly Diagnosed ◽  
Genomic Features ◽  
Genomic Deletions ◽  
Smoldering Multiple Myeloma ◽  
Short Period

Abstract On an average, 1% of monoclonal gammopathy of undermined significance (MGUS) and 10% of smoldering Multiple Myeloma (SMM) progress to symptomatic MM every year within the first five years of diagnosis. The probability of progression significantly decreases for SMM patients after first 5 years. However, a distinct subset of SMM patients progress within 2 years and are re-classified as high-risk patients based on risk markers such as 20/2/20 or certain genomic features. Although recent studies have evaluated the high-risk genomic features for SMM but genomic background of SMM patients who do not progress to MM after long-term follow-up (>= 5 years) has not been described. Here, we evaluated transcriptomic and genomic changes enriched in non-progressor (NP) (no progression after 5 years of follow-up) precursor conditions (N=31) with those progressed within short period of time (N=71) and compared them with changes observed in newly diagnosed MM (N=192). Additionally, using transcriptome, epigenome and whole genome profiling we also studied additional unique samples from 18 patients at their precursor stage as well as when progressed to MM. Overall, we have observed significantly lower mutational load for NP SMM from progressor SMM (median SNV 4900 vs. 7881 p < 3e-04) with high sensitivity (0.83) and specificity (0.65) to separate NP from progressors. We have further developed a deep learning model by using more than 4500 genome wide features using ten-fold cross validation. This model indicated that not only the load but also the patterns of mutations (type, location, frequency) are different between two conditions. We also found that NP samples have significantly lower heterogeneity (p < 0.05). However, progressed samples showed similar mutational load and heterogeneity at precursor stage and MM. Among CNA differences, absence of gain or deletion of chr8 (not involving MYC region) were strong predictor of NP (OR=7.2 95% CI 2.2-24). Focal genomic loss was also significantly lower for NP (p=0.004) which was also reflected by low genome scar score (GSS) (p=0.07). Structural variant and copy number signature analysis also showed that NPs were showing significantly low exposure to non-clustered variable size genomic deletions. We observed similar frequency of primary translocations [t(11;14), t(4;14), and t(14;16)] in both progressor and NP samples as well as newly diagnosed MM. MYC translocation with any partner was not observed in NP samples, whereas 37% of progressor samples had a MYC translocations (OR=12.8). Adding all these differences including chr8 CNAs, MYC translocations, mutation burden, GSS, focal deletions, all driver mutations as well as primary translocations into recursive partitioning model to predict non-progressor SMM, we have identified a simple genomic model only involving chr8 CN changes and overall mutational burden to achieve a high sensitivity (0.82) and specificity (74%). Our transcriptomic analysis measured the distance between progressor and NP SMM as well as MM and found that NP SMM has greater difference with MM which is closer to progressor SMM. We quantified transcriptomic heterogeneity by using molecular degree of perturbation. This analysis showed that consistent with DNA changes, DNA repair pathway and MYC target genes are expressed similarly in NP SMM as in normal plasma cells compared to progressor SMM. Epigenomic analysis yielded 75 SEs regions differentially utilized between precursor and symptomatic MM stage using paired samples. The targeted genes included BMP6, PRDM1, STAT1, SERTAD2 and RAB21 and possibly regulating genes related to oncogenic KRAS activities. In conclusion, we define genomic characterization of non-progressor SMM and our results now provide the basis to develop molecular definition of SMM as well as risk driving features. Disclosures Munshi: Janssen: Consultancy; Pfizer: Consultancy; Legend: Consultancy; Novartis: Consultancy; Adaptive Biotechnology: Consultancy; Oncopep: Consultancy, Current equity holder in publicly-traded company, Other: scientific founder, Patents & Royalties; Takeda: Consultancy; Abbvie: Consultancy; Karyopharm: Consultancy; Amgen: Consultancy; Celgene: Consultancy; Bristol-Myers Squibb: Consultancy.

scholarly journals Case-based roundtable on treatment approach for young, fit, newly diagnosed multiple myeloma patients

Hematology ◽  
2018 ◽  
Vol 2018 (1) ◽  
pp. 103-109
Author(s):  
Sergio Giralt ◽  
Eric Seifter
Keyword(s):  
Multiple Myeloma ◽  
Monoclonal Antibodies ◽  
Treatment Approach ◽  
Eligible Patient ◽  
Proteasome Inhibitors ◽  
Newly Diagnosed ◽  
Therapeutic Landscape ◽  
Case Based

Abstract With the advent new proteasome inhibitors (carfilzomib, ixazomib), new immune-modulatory drugs (pomalidomide), and new monoclonal antibodies (elotuzimab, daratumumab) as approved treatments for myeloma, the therapeutic landscape for this disease has changed. In this chapter, using a case-based approach, I will provide a personal guide of how I approach myeloma therapy in a transplant eligible patient in 2018.

Asymptomatic Amyloidosis at the Time of Diagnostic Bone Marrow Biopsy in Newly Diagnosed Patients with Multiple Myeloma and Smoldering Multiple Myeloma.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 2803-2803
Author(s):  
Sergio Siragusa ◽  
William Morice ◽  
Morie A Gertz ◽  
Robert Kyle ◽  
Philip R. Greipp ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Board Of Directors ◽  
Congo Red ◽  
Newly Diagnosed ◽  
Advisory Committees ◽  
Bone Marrow Biopsies ◽  
Smoldering Multiple Myeloma ◽  
High Level

Abstract Abstract 2803 Poster Board II-779 Background. The rate of asymptomatic amyloidosis (asym-amyloidosis) detected in patients with newly diagnosed multiple myeloma (MM) or smoldering multiple myeloma (SMM) is unknown. This topic is significant because unrecognized AL may be associated with increased mortality may change the patient's management. The objective of the present investigation was to evaluate the number and clinical significance of asym-amyloidosis in MM and SM patients at the time of the diagnostic bone marrow (BM) biopsy for MM. Materials and Methods. The study population was selected from the Mayo Clinic Dysproteinemia database and consisted of consecutive patients with an established diagnosis of MM or SMM without recognition of symptomatic AL. Bone marrow biopsies at diagnosis of MM or SMM were retrospectively stained with Congo Red and reviewed by a single pathologist. A patient was considered to have asym-amyloid if Congo Red staining with apple green birefringence was found. Results. Biopsies from 144 (M 84, F 59) patients were evaluated: 77 had a diagnosis of MM and 67 of SMM. The median age was 59 (range 26-84) years. No differences were found regarding hemoglobin, platelets, prothrombin time, serum and urine proteins, serum albumin, alkaline phosphate, creatinine and β2-microglobulin among MM and SMM patients. At a median follow-up 76 months (range 0-216), 32% patients were alive, 65% dead and 2.7% lost to follow-up. Immunoglobulin isotypes were as follows: 96/144 (67%) had IgG 23/144 (16%) IgA, 12/144 (8%) had light chain only, 1/77 (1%) had IgD, none had IgM and 12/144 (8%) had biclonal or indeterminate; 84/144 (58%) were κ restricted. The presence of amyloid was found in only 2 cases (1%, 95% CI – 0.6 to 3.2), 1 in MM and 1 in SMM group. Neither of these patients had or developed signs or symptoms suggestive of organ involvement by amyloid. Among the 142 other patients without amyloid deposition in their index bone marrow, 1 (0.7%, 95% CI -0.6 to 2.0) developed symptomatic AL after 119 months of follow-up. Characteristics of these three patients are shown in table 1. Conclusions. We found only 2 cases (1%) of amyloidosis in the 144 cases of MM or SMM. Our estimates are lower than the rates which have been reported by others, perhaps because of our high level of suspicion for amyloid at our Amyloidosis Center. These data do not support the need for searching for asym-amyloidosis in patients with newly diagnosed MM or SMM as long as they have no clinical features of AL. Disclosures: Off Label Use: Hydroxyurea use in myelofibrosis. Gertz:celgene: Honoraria; millenium: Honoraria, Membership on an entity's Board of Directors or advisory committees. Witzig:Novartis: Research Funding. Kumar:celgene: Honoraria; millenium: Honoraria, Membership on an entity's Board of Directors or advisory committees.

scholarly journals Survival Trends over 18 Years of Patients with Multiple Myeloma Harboring Del(17p) and/or t(4;14): A Retrospective Real-World Study

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 15-17
Author(s):  
Thomas Chalopin ◽  
Nicolas Vallet ◽  
Marlene Ochmann ◽  
Mourad Tiab ◽  
Pascal Godmer ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Overall Survival ◽  
Monoclonal Antibodies ◽  
Stem Cell ◽  
In Situ Hybridization ◽  
Research Funding ◽  
Newly Diagnosed ◽  
New Agents ◽  
The Past

Introduction . In multiple myeloma (MM), the presence of translocation t(4;14) and/or 17p deletion, found in around 10 to 15% of the patients, is considered as high-risk feature associated with adverse survival. Despite recent advances in the treatment of MM, t(4;14) and del(17p) are still associated with poor outcome. The aim of this study was to analyze the trends of survival in patients with newly diagnosed MM harboring t(4;14) and or 17p deletion over the past two decades. Methods . Patients from five French centers with newly-diagnosed MM from 2001 to 2019 and displaying del(17p) and/or t(4;14) were retrospectively included. Cytogenetics abnormalities were detected by interphase fluorescence in situ hybridization (FISH) and del(17p) positivity cut-off was 30%. New agents were defined as: pomalidomide, carfilzomib, ixazomib and anti-CD38 monoclonal antibodies. Results . 246 patients carrying either t(4;14) (n=106 patients), del(17p) (n=121 patients) or both (n=19 patients) were included. Median age was 64 years (range, 35-91). ISS and R-ISS score were 3 in 88 patients (36%). Eighty-seven patients (35%) were diagnosed in 2001-2010 period, and 159 (65%) in 2011-2019 period. Front-line autologous stem-cell transplantation (ASCT) was performed in 121 (49%) patients. Among transplant eligible patients, 112 patients (n=93%) received triplet induction, 78 patients (64%) a consolidation regimen and 15 patients (12%) a maintenance therapy. Double-ASCT was decided in 21 patients (17%). Among transplant ineligible patients, 61 patients (49%) received melphalan-based regimen in first line, 36 (29%) a bortezomib-based and 15 patients (14%) a lenalidomide-based regimen. At any line, 92 patients (37%) received at least one of the new agents with only 12 patients (5%) in frontline therapy. Median follow-up was 41 months (IQR: 21-69). Median overall survival (OS) was 58.4 months (IQR: 50.1-66.5) for the entire cohort, 55.5 months (IQR: 46.6-78.3) for del(17p), 62.5 months (IQR: 54.2-76.1) for t(4;14) and 48.6 months (18.1-not reached) for patients with both (p=0.2). Median of first progression-free survival (PFS1) was 25.6 months (IQR: 22.2-29.8), with no difference between del(17p), t(4;14) or both (p=0.57). Importantly, no improvement of median OS was observed in patients diagnosed between 2001-2010 in comparison with patients diagnosed between 2011-2019 (63.7 versus 53.2 months, p=0.32). In univariate and multivariate analysis: age (continuous and cut-off 71 years-old) and ASCT significantly were associated with risk of death (HR: 1.03, 1.09 and 0.45, respectively). Median OS of patients eligible to ASCT was 76.1 months (IQR: 62.5-90.3) vs 42.5 months (IQR: 36.8-54.6) for patients not eligible (HR 0.45, 95%CI 0.28-0.0.71; p<0.001). Double-ASCT did not improve significantly OS (75 vs 81.1 months ; p=0.41) and PFS1 (31.6 vs 47.8, p=0.30) compared with single-ASCT. Conclusion . This large multicenter real-world study confirms that patients with newly diagnosed MM carrying del(17p) and/or t(4;14) remain a therapeutic challenge with no significant overall survival improvement in the past decades despite the use of novel agents. The definition of high-risk MM patients is evolving with incorporation of new markers (i.e chromosome 1 abnormalities, PET-imaging). Minimal-residual disease achievement will also re-defined risk stratification. Nonetheless, the need for innovative approaches such as earlier strategies using new agents or immunotherapy (CAR-T cells, bispecific T-cell engager antibodies) may significantly improve outcomes. Figure captions Table 1. Clinical, biological characteristics, treatment and survival of the 246 included patients based on period of diagnosis. IQR: interquartile range; FISH: fluorescence in situ hybridization; ISS: international score system; LDH: lactate dehydrogenase; ASCT: autologous stem cell transplantation; len: lenalidomide; Poma: pomalidomide; Carfil: carfilzomib; Ixa: ixazomib; mAb: monoclonal antibodies; OS: overall survival Figure 1. Kaplan-Meier curves for overall survival for the 246 included patients based on period of diagnosis. Figure 1 Disclosures Moreau: Amgen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Celgene/Bristol-Myers Squibb: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Novartis: Honoraria; Takeda: Honoraria. Touzeau:Takeda: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses; Sanofi: Honoraria, Research Funding; Abbvie: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses, Research Funding; Amgen: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Honoraria, Other: Travel, Accommodations, Expenses; GlaxoSmithKline: Honoraria, Research Funding.

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