Prevalence of Smoldering Multiple Myeloma: Results from the Iceland Screens, Treats, or Prevents Multiple Myeloma (iStopMM) 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>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>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.

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A Phase II Study of Daratumumab in Patients with High-Risk MGUS and Low-Risk Smoldering Multiple Myeloma

Blood ◽

10.1182/blood-2021-149797 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 1649-1649

Author(s):

Omar Nadeem ◽

Robert A. Redd ◽

Michael Z. Koontz ◽

Jeffrey V. Matous ◽

Andrew J. Yee ◽

...

Keyword(s):

Multiple Myeloma ◽

Bone Marrow ◽

High Risk ◽

Board Of Directors ◽

Research Funding ◽

Plasma Cells ◽

Low Risk ◽

M Protein ◽

Advisory Committees ◽

Bone Marrow Plasma

Abstract Introduction : Daratumumab (Dara) is an anti-CD38 monoclonal antibody that is approved for use in patients with newly diagnosed and relapsed multiple myeloma (MM). We hypothesized that early therapeutic intervention with Dara in patients with high-risk MGUS (HR-MGUS) or low-risk SMM (LR-SMM) would lead to eradication of the tumor clone by achieving deep responses, resulting in prevention of progression to MM. We present results of our phase II, single arm study of Dara in HR-MGUS and LR-SMM. Methods : Patients enrolled on this study met eligibility for either HR-MGUS or LR-SMM. HR-MGUS is defined as <10% bone marrow plasma cells and <3g/dL M protein and at least 2 of the following 3 high-risk criteria: Abnormal serum free light chain ratio (SFLC) of <0.26 or >1.65, M protein ≥ 1.5g/dL or non-IgG M protein. LR-SMM is defined by one of the following 3 criteria: M protein ≥3g/dL, ≥10% bone marrow plasma cells, SFLC ratio <0.125 or >8. Dara (16mg/kg) was administered intravenously on a weekly schedule for cycles 1-2, every other week cycles 3-6, and monthly during cycles 7-20. The primary objective of this study was to determine the proportion of patients who achieve very good partial response (VGPR) or greater after 20 cycles of Dara. Secondary objectives included duration of response, safety, and rates of minimal residual disease (MRD)-negativity in VGPR or greater patients. Correlative studies included assessing changes in immune microenvironment, evaluating clonal heterogeneity using deep sequencing, and determining association of genomic aberrations correlating with either response to therapy or progression of disease. Results : At the time of data cutoff, a total of 42 patients were enrolled on this study from 2018 to 2020 with participation of 5 sites. The median age for all patients at enrolment was 60 years (range 38 to 76), with 22 males (52.4%) and 20 females (47.6%). Majority of patients enrolled were classified as LR-SMM (n = 37, 88.1%) and the remaining 5 patients had HR-MGUS (11.9%). 41 patients have started treatment and are included in toxicity assessment, and 40 patients have at least completed 16 cycles (range 6-20). Grade 3 toxicities were rare and only experienced in 5/41 patients including diarrhea (n =1/41; 2%), flu like symptoms (n = 1/41; 2%), headache (n=1/41; 2%), and hypertension (n=2/41; 5%). Most common toxicities of any grade included fatigue (n = 24/41, 51%), cough (n = 19/41, 46%), nasal congestion (n = 18/41, 44%), headache (n = 14/41, 34%), hypertension (n = 11/41, 27%), nausea (n = 13/41, 32%), and leukopenia (n = 13/41, 32%). No patients have discontinued therapy due to toxicity. Minimal response or better was observed in 82.9% of patients (34/41) and PR or better was observed in 51.2% of patients (21/41). This included overall CR (n = 4, 9.8%), VGPR (n = 1, 2.4%), PR (n = 16, 39.0%), MR (n = 13, 31.7%), and SD (n = 7, 17.1%). In the 40 patients who completed at least 16 cycles, response rates were as follows: MR or better 85% (34/40), PR or better 52.5% (21/40) and VGPR or better 12.5% (5/40). Median time to VGPR was 7 months. Median overall survival and progression-free survival have not been reached and no patients have progressed to overt multiple myeloma while on study. Conclusion : Dara is very well tolerated among patients with HR-MGUS and LR-SMM with minimal toxicities. Responses are seen in majority of patients. Early therapeutic intervention in this precursor patient population appears promising but longer follow up is required to define the role of single agent Dara in preventing progression to MM, therefore avoiding more toxic interventions in this low-risk patient population. Disclosures Nadeem: Karyopharm: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees. Yee: GSK: Consultancy; Oncopeptides: Consultancy; Janssen: Consultancy; Amgen: Consultancy; Sanofi: Consultancy; Bristol Myers Squibb: Consultancy; Adaptive: Consultancy; Takeda: Consultancy; Karyopharm: Consultancy. Zonder: Caelum Biosciences: Consultancy; Amgen: Consultancy; BMS: Consultancy, Research Funding; Intellia: Consultancy; Alnylam: Consultancy; Janssen: Consultancy; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Regeneron: Consultancy. Rosenblatt: Attivare Therapeutics: Consultancy; Imaging Endpoints: Consultancy; Parexel: Consultancy; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Research Funding; Wolters Kluwer Health: Consultancy, Patents & Royalties. Mo: AbbVIE: Consultancy; BMS: Membership on an entity's Board of Directors or advisory committees; Eli Lilly: Consultancy; Epizyme: Consultancy; GSK: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria; Karyopharm: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees. Sperling: Adaptive: Consultancy. Richardson: Karyopharm: Consultancy, Research Funding; AstraZeneca: Consultancy; AbbVie: Consultancy; Takeda: Consultancy, Research Funding; Celgene/BMS: Consultancy, Research Funding; Janssen: Consultancy; GlaxoSmithKline: Consultancy; Protocol Intelligence: Consultancy; Secura Bio: Consultancy; Regeneron: Consultancy; Sanofi: Consultancy; Oncopeptides: Consultancy, Research Funding; Jazz Pharmaceuticals: Consultancy, Research Funding. 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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B-PRISM (Precision Intervention Smoldering Myeloma): A Phase II Trial of Combination of Daratumumab, Bortezomib, Lenalidomide and Dexamethasone in High-Risk Smoldering Multiple Myeloma

Blood ◽

10.1182/blood-2021-148023 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 4782-4782

Author(s):

Omar Nadeem ◽

Robert A. Redd ◽

Julia Prescott ◽

Amada Metivier ◽

Kelsey Tague ◽

...

Keyword(s):

Multiple Myeloma ◽

Bone Marrow ◽

High Risk ◽

Board Of Directors ◽

Phase Ii ◽

Research Funding ◽

Plasma Cells ◽

M Protein ◽

Focal Lesion ◽

Advisory Committees

Abstract Background: Early therapeutic intervention with lenalidomide and dexamethasone in patients with high-risk smoldering multiple myeloma (HR-SMM) has shown to be effective by delaying time to progression to overt myeloma (Lonial J Clin Oncol 2020 Apr 10;38(11):1126-1137). Triplet and quadruplet combination therapies utilizing a proteasome inhibitor, immunomodulatory agent and a CD38 monoclonal antibody are used extensively in patients with multiple myeloma due to far greater efficacy compared to lenalidomide and dexamethasone alone. These combinations have been studied in HR-SMM, demonstrating encouraging activity, including ixazomib, lenalidomide and dexamethasone and elotuzumab, lenalidomide and dexamethasone. There are also current ongoing studies with curative intent utilizing more potent therapy in HR-SMM, including carfilzomib, lenalidomide and dexamethasone with autologous stem cell transplantation (Mateos EHA 2019, abstract S871) and daratumumab, carfilzomib, lenalidomide and dexamethasone (NCT03289299). Daratumumab, bortezomib, lenalidomide and dexamethasone (D-RVD) combination is highly effective and well-tolerated in newly diagnosed multiple myeloma at achieving high response rates as well as minimal residual disease (MRD) negativity based on results from the phase II GRIFFIN trial (Voorhees Blood 2020 Aug 20;136(8):936-945). Thus, we propose to examine the activity and safety of D-RVD in patients with HR-SMM. Study Design and Methods: This is a phase II single center, single-arm, open label study evaluating the combination of D-RVD in HR-SMM. Primary objective of this study is to determine the proportion of HR-SMM patients who are MRD negative at 2 years after receiving D-RVD. Secondary objectives include MRD negativity rate at 6 months, 12 months, 24 months and 36 months, progression-free survival, response rates and safety. Exploratory objectives include assessment of mass spectrometry quantification of M protein, examination of molecular evolution of tumor cells and to determine role of immune cells in progression of SMM. Patients must meet criteria for HR-SMM based on bone marrow clonal plasma cells ≥10% and any one or more of the following: Serum M protein ≥3.0 gm/dL, immunoparesis with reduction of two uninvolved immunoglobulin isotypes, serum involved/uninvolved free light chain ratio ≥8 (but less than 100), progressive increase in M protein level (evolving type of SMM), bone marrow clonal plasma cells 50-60%, abnormal plasma cell immunophenotype (≥95% of bone marrow plasma cells are clonal) and reduction of one or more uninvolved immunoglobulin isotypes, high risk FISH defined as any one or several of the following: t(4;14), t(14;16), t(14;20), del 17p or 1q gain, MRI with diffuse abnormalities or 1 focal lesion (≥5mm), PET-CT with one focal lesion (≥5mm) with increased uptake without underlying osteolytic bone destruction. Patients that meet high risk definition by the new Mayo/IMWG 2018 "20-2-20" criteria are also eligible if they have 2 out of the following 3 criteria: Bone marrow plasmacytosis ≥20% , ≥2g/dl M protein, ≥20 involved: uninvolved serum free light chain ratio. Treatment duration with D-RVD is for 2 years (24 cycles). Daratumumab is administered at a dose of 1800mg subcutaneously (SQ) weekly for cycles 1-2, biweekly for cycles 3-6 and monthly until completion of cycle 24. Bortezomib is given at a dose of 1.3mg/m2 SQ on days 1, 8, 15 for cycles 1-6 and then biweekly until completion of cycle 24. Lenalidomide is administered on days 1-21 at a dose of 25mg for cycles 1-6 and 15mg for cycles 7-24. Dexamethasone is administered weekly at 20mg cycles 1-6 and biweekly during cycles 7-24. All eligible patients will undergo stem cell collection after cycle 6 of therapy. A single-stage design will be employed with 30 eligible patients entered. If 12 or more of the 30 eligible patients are MRD negative at 2 years (observed rate of >=40%), we will conclude that this treatment warrants further study. The probability of concluding that the treatment is effective if the true rate is 25% is 0.051 and is 0.90 if the true rate is 50%. Figure 1 Figure 1. Disclosures Nadeem: Karyopharm: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees. Mo: Karyopharm: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria; GSK: Consultancy, Membership on an entity's Board of Directors or advisory committees; Epizyme: Consultancy; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Eli Lilly: Consultancy. Sperling: Adaptive: Consultancy. Richardson: Takeda: Consultancy, Research Funding; Sanofi: Consultancy; Celgene/BMS: Consultancy, Research Funding; Janssen: Consultancy; Secura Bio: Consultancy; Protocol Intelligence: Consultancy; GlaxoSmithKline: Consultancy; Regeneron: Consultancy; AbbVie: Consultancy; Karyopharm: Consultancy, Research Funding; Oncopeptides: Consultancy, Research Funding; AstraZeneca: Consultancy; Jazz Pharmaceuticals: Consultancy, Research Funding. 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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Evaluation of the Concordance of Two Free Light Chains Assays to Identify High Risk Smoldering Myeloma Patients.

Blood ◽

10.1182/blood.v128.22.2070.2070 ◽

2016 ◽

Vol 128 (22) ◽

pp. 2070-2070 ◽

Cited By ~ 1

Author(s):

Caroline Moreau ◽

Emmanuel Rouger ◽

Basile Henriot ◽

Martine Escoffre ◽

Martine Sebillot ◽

...

Keyword(s):

Multiple Myeloma ◽

High Risk ◽

Binding Site ◽

Light Chain ◽

Research Funding ◽

Plasma Cells ◽

Organ Damage ◽

Free Light Chain ◽

Poor Correlation ◽

Specificity And Sensitivity

Abstract Background Smoldering multiple myeloma (SMM) is a precursor disease of multiple myeloma (MM). According to 2003 classification, the IMWG (International Myeloma Working Group) recommended only to treat patients with end organ damage - often referred as CRAB criteria (hypercalcemia, renal failure, anemia and radiological bone lesions). The standard of care for SMM was to postpone treatment until progression to symptomatic disease occurred. The average annual risk of progression of SMM to MM was 10%/year. In 2014 IMWG proposed a revised classification including 3 new criteria that enable early diagnosis of MM before organ damage. The new criteria of MM needs the presence of more than 10% clonal bone marrow plasma cells combined with either the presence of end organ damage (CRAB criteria) or one of following new biomarkers of malignancy: bone marrow plasma cells ≥60%, serum free light chains (FLC) ratio ≥100 and ≥2 focal lesions on MRI. The FLC criteria were established with Freelite™ assay (The Binding Site Company) and have not been validated with other available assays. Freelite™ assay which used polyclonal antibodies was available since 2001. More recently N Latex assay (Siemens Healthyneers) using monoclonal antibodies has been commercialized in Europe. It is now well know that there is a good correlation between the 2 assays even though results in absolute values are not numerically identical. In this context, the aim of this study was to evaluate the concordance between the two assays to identify high risk SMM, when considering the biomarker of malignancy FLC ratio ≥100. Methods This is a retrospective study including 185 patients with SMM according to 2003 IMWG criteria. FLC concentration and ratio were evaluated in frozen sera with both assays in a BN Prospec and evolution status was collected. Results The average age was 62.5 (± 10.2) years old. Results revealed poor correlation between the 2 assays with a Slope Passing-Bablok value of 0.63 (0.57-0.67) for the FLC κ and of 0.44 (0.35-0.62) for the κ/ λ ratio ≥ 100, and concordance in determining the level of FLC λ with a Slope Passing-Bablok 1.16 (0.99-1.40). A Freelite™ratio ≥ 100 was found in 27 patients (14.3%), and a N Latex ratio ≥ 100 was found in 10 patients (5.3%). All but one patients with an N Latex ratio ≥ 100 had also a Freelite™ ratio ≥ 100. Mean of follow up was 2.4 years. A progression toward MM was observed in 77 (40.7%) patients. Among the 27 patients with Freelite™ ratio ≥ 100, 14 patients (55.5%) have evolved toward MM (figure 1A). Specificity and sensitivity for a Freelite™ ratio ≥ 100 were respectively 88.7% (95% CI 81.8 to 94.0%) and 20.3% (95% CI 11.8 to 31.2%). With the N Latex Assay, only 10 patients had a FLC ratio ≥ 100, in which 7 patients have evolved towards MM. Specificity and sensitivity for a N-Latex ratio ≥ 100 were respectively be 67.0% (95% CI 57.4 to 75.6%) and 53.2% (95% CI 41.5 to 64.7%). Given the poor predictive performance of a N-Latex ratio ≥ 100 we determined that a N-Latex ratio ≥ 70 have adequate specificity of 95.5% (95% CI 89.9 to 98.5%) and a sensitivity of 13.0% (95% CI 6.4 to 22.6%) (figure 1B). 15 patients (8.1%) patients had a N-Latex ratio ≥ 70. Among these, 10 patients (66.6%) have evolved toward MM. Conclusion Our study shows poor correlation between the two FLC assays in SMM patients. A Freelite™ ratio ≥ 100 had a lesser specificity than previously described (specificity 95% in Larsen study [1]). The 100 cut-off value was not performant enough for N-Latex assay. A new ratio is thus needed and was found to be 70 to have sufficient specificity and sensitivity. This result need to be validated in an independent cohort. However, with a Freelite™ ratio ≥ 100 or an N Latex ratio ≥ 70, a significant number of patients would have been overtreated. Physicians should be aware of the limits of both assays. 1.Larsen JT, Kumar SK, Dispenzieri A, Kyle RA, Katzmann JA, Rajkumar SV. Serum free light chain ratio as a biomarker for high-risk smoldering multiple myeloma. Leukemia. 2013;27:941-6. Figure 1 probability of progression to overt multiple myeloma (A) according to Freelite™ ratio (cut-off 100) (B) according to N-Latex ratio (cut-off 70) Figure 1. probability of progression to overt multiple myeloma (A) according to Freelite™ ratio (cut-off 100) (B) according to N-Latex ratio (cut-off 70) Disclosures Moreau: The Binding Site: Other: supply of free light chain assays ; SIEMENS: Other: supply of free light chain assays , Research Funding. Decaux:The Binding Site: Other: supply of free light chain assays , Research Funding; SIEMENS: Honoraria, Other: supply of free light chain assays , Research Funding.

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The Natural History of Smoldering (Asymptomatic) Multiple Myeloma.

Blood ◽

10.1182/blood.v106.11.3396.3396 ◽

2005 ◽

Vol 106 (11) ◽

pp. 3396-3396 ◽

Cited By ~ 4

Author(s):

Robert Kyle ◽

Ellen Remstein ◽

Terry Therneau ◽

Angela Dispenzieri ◽

Paul Kurtin ◽

...

Keyword(s):

Multiple Myeloma ◽

Bone Marrow ◽

Plasma Cell ◽

Light Chain ◽

Plasma Cells ◽

M Protein ◽

Cell Content ◽

Bone Marrow Plasma ◽

M Spike

Abstract Smoldering multiple myeloma (SMM) is characterized by a serum M protein ≥ 3g/dL and/or 10% or more of plasma cells in the bone marrow. However, the definition is not standardized, and it is not known whether both serum M protein levels and bone marrow plasma cell counts are necessary for diagnosis or if one parameter is sufficient. We reviewed the medical records and bone marrows of all patients from Mayo Clinic seen within 30 days of recognition of an IgG or IgA M protein ≥ 3g/dL or a bone marrow containing ≥ 10% plasma cells from 1970 to 1995. This allows for a minimum potential follow-up of 10 years. Patients with end-organ damage at baseline from plasma cell proliferation, including active multiple myeloma (MM) and primary amyloidosis (AL) and those who had received chemotherapy were excluded. A differential of the bone marrow aspirate coupled with the bone marrow biopsy morphology and immunohistochemistry using antibodies directed against CD138, MUM-1 and Cyclin D1 were evaluated in every case in order to estimate the plasma cell content. In all, 301 patients fulfilled either of the criteria for SMM. Their median age was 64 years and only 3% were less than 40 years of age; 60% were male. The median hemoglobin value was 12.9 g/dL; 7% were less than 10 g/dL, but the anemia was unrelated to plasma cell proliferation. IgG accounted for 75%, IgA 22%, and biclonal proteins were found in 3%. The serum light-chain was κ in 67% and λ in 33%. The median serum M spike was 2.9 g/dL; 11% were at least 4.0 g/dL. Uninvolved serum immunoglobulins were reduced in 81%; only 1 immunoglobulin was reduced in 31% and both were decreased in 50%. The urine contained a monoclonal κ protein in 36% and λ in 18% and 46% were negative. The median size of the urine M spike was 0.04 g/24h; only 5 (3%) were > 1 g/24h. The median bone marrow plasma cell content was 15 – 19%; 10% had less than 10% plasma cells, while 10% had at least 50% plasma cells in the bone marrow. Cyclin D-1 was expressed in 17%. Patients were categorized into 3 groups: Group 1, serum M protein ≥ 3g/dL and bone marrow containing ≥ 10% plasma cells (n= 113, 38%); Group 2, bone marrow plasma cells ≥ 10% but serum M protein < 3g/dL (n= 158, 52%); Group 3, serum M protein ≥ 3g/dL but bone marrow plasma cells < 10% (n= 30, 10%). During 2,204 cumulative years of follow-up 85% died (median follow-up of those still living 10.8 years), 155 (51%) developed MM, while 7 (2%) developed AL. The overall rate of progression at 10 years was 62%; median time to progression was 5.5 yrs. The median time to progression was 2.4, 9.2, and 19 years in groups 1, 2, and 3 respectively; correspondingly at 10 years, progression occurred in 76%, 59%, and 32% respectively. Significant risk factors for progression with univariate analysis were serum M spike ≥ 4g/dL (p < 0.001), presence of IgA (p = 0.003), presence of urine light chain (p = 0.006), presence of λ urinary light chain (p = 0.002), bone marrow plasma cells ≥ 20% (p < 0.001) and reduction of uninvolved immunoglobulins (p < 0.001). The hemoglobin value, gender, serum albumin, and expression of cyclin D-1 were not of prognostic importance. On multivariate analysis, the percentage of bone marrow plasma cells was the only significant factor predicting progression to MM or AL.

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

Blood ◽

10.1182/blood.v128.22.1194.1194 ◽

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.

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Immunoglobulin Free Light Chain Ratio Is an Independent Risk Factor for Progression of Smoldering Multiple Myeloma.

Blood ◽

10.1182/blood.v110.11.1487.1487 ◽

2007 ◽

Vol 110 (11) ◽

pp. 1487-1487 ◽

Cited By ~ 1

Author(s):

Angela Dispenzieri ◽

Robert A. Kyle ◽

Jerry A. Katzmann ◽

Dirk Larson ◽

Joanne Benson ◽

...

Keyword(s):

Multiple Myeloma ◽

Bone Marrow ◽

Light Chain ◽

Plasma Cells ◽

Free Light Chain ◽

M Protein ◽

Baseline Serum ◽

Smoldering Multiple Myeloma ◽

Risk Of Progression ◽

Bone Marrow Plasma

Abstract Background: Smoldering multiple myeloma (SMM) is an asymptomatic plasma cell proliferative disorder with a high risk of progression to symptomatic multiple myeloma. Identification of risk factors that predict progression of SMM to symptomatic MM could identify higher risk patients who might benefit from chemoprevention or more intensive surveillance. We hypothesized that increased monoclonal free kappa or lambda immunoglobulin light chains in smoldering myeloma (SMM), as detected by the serum free light chain (FLC) assay, indicates an increased the risk of progression to active myeloma. Methods: Of 276 pathologically confirmed SMM patients seen at the Mayo Clinic from 1970 to 1995, baseline serum samples obtained within 30 days of diagnosis were available in 273. Results: At a median follow-up of surviving patients of 12.4 years, transformation to active disease has occurred in 161 (59%) patients. An abnormal FLC ratio was present at baseline in 90% of patients. The best break-point for predicting risk of progression was a FLC ratio less than or equal to 0.125 or greater than or equal to 8 (hazard ratio, 2.3; 95% CI, 1.6–3.2) [Figure 1]. The extent of abnormality of FLC ratio was independent of SMM risk categories defined by number of plasma cells in the bone marrow and size of serum M-proteins (bone marrow plasma cells ≥ 10% and serum M protein ≥ 3 g/dL; bone marrow plasma cells ≥ 10% but serum M protein < 3 g/dL; and serum M protein ≥ 3 g/dL but bone marrow plasma cells < 10%). Incorporating the FLC ratio into the risk model, the division of patients into high-, intermediate-, and low-risk groups is 28, 42, and 30% with 5 year progression rates of 76, 51, and 25%, respectively [Figure 2]. Conclusions: The serum immunoglobulin FLC ratio is an important additional determinant of clinical outcome in patients with SMM. Figure Figure Figure Figure

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Estimating Selection Bias in Previous Monoclonal Gammopathy of Undetermined Significance Research - the Importance of Screening: Results from the Population-Based Screening Study Iceland Screens, Treats or Prevents Multiple Myeloma (iStopMM)

Blood ◽

10.1182/blood-2021-153188 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 1618-1618

Author(s):

Aðalbjörg Ýr Sigurbergsdóttir ◽

Sæmundur Rögnvaldsson ◽

Sigrun Thorsteinsdottir ◽

Ingigerdur Solveig Sverrisdottir ◽

Gudrun Asta Sigurdardottir ◽

...

Keyword(s):

Multiple Myeloma ◽

Selection Bias ◽

Light Chain ◽

Research Funding ◽

Protein Concentration ◽

Kidney Diseases ◽

Population Based ◽

M Protein ◽

Related Factors ◽

M Proteins

Abstract Introduction Monoclonal gammopathy of undetermined significance (MGUS) is a plasma cell disorder preceding multiple myeloma and related disorders, present in 4.2% of the population over the age of 50. Although usually asymptomatic, MGUS has been associated with various health-related problems, including thrombosis, infections, fractures, neuropathy, and death. Because MGUS is asymptomatic, its diagnosis is typically incidental, during clinical workup for unrelated medical issues, and therefore most individuals remain undiagnosed. Consequently, MGUS cohorts in past studies may have suffered from more comorbidities than the actual population with MGUS. This might have introduced selection bias in previous studies on MGUS, which extent has not been studied in a systematic way. Therefore, previously reported associations between MGUS and various medical issues might not be as profound as formerly observed. The aim of this study was to compare characteristics of incidentally diagnosed MGUS versus MGUS diagnosed by systematic screening, with particular focus on demographics, comorbidities, and MGUS-related factors. Methods The study is based on the Iceland Screens, Treats, or Prevents Multiple Myeloma (iStopMM) study. iStopMM is a population-based screening study for MGUS and a randomized controlled trial of follow-up strategies that has included 54% (n = 80,759) of the Icelandic population above 40 years of age. In total, 75,422 participants were screened for MGUS by serum protein electrophoresis (SPEP) and free light chain (FLC) assay. Information on which individuals had incidentally diagnosed MGUS (clinical MGUS) prior to participation in iStopMM were gathered from the Icelandic cancer registry and laboratory results from Landspítali University Hospital and Læknasetrið, the only laboratories in Iceland that perform SPEP. M-protein concentration, MGUS isotype and FLC ratio were obtained from the original screening samples. Comorbidity data was acquired from two high-quality national registries: Hospital Discharge Register and Register of Primary Health Care Contacts, with >95% completeness and accuracy. MGUS diagnosed by screening was further classified into MGUS with or without M-proteins (light-chain MGUS). Those with clinical MGUS were used as the reference group in all analyses. Since all individuals with clinical MGUS had M-proteins, individuals with light-chain MGUS were excluded from this study. T-test and chi-square test were used for demographic comparison; linear regression adjusting for sex and age for continuous variables, and logistic regression adjusting for sex and age for comparison of categorical variables, regarding MGUS-related factors and comorbidities. Results The study cohort consisted of 3,300 individuals who had MGUS with M-proteins; 224 individuals with clinical MGUS and 3,076 with screened MGUS. The clinical MGUS group was significantly older (p <0.01), more likely to live in the capital area of Iceland (p 0.02), and had a 0.14 g/dL higher mean M-protein concentration (95% confidence interval [95% CI] 0.10-0.19 g/dL, p <0.001) than those with screened MGUS. Individuals with clinical MGUS were also 1.73 times more likely to have a comorbidity (odds ratio [OR] 1.73, 95% CI 1.14-2.72, p 0.01) than those with screened MGUS, reflected in a significantly higher mean number of comorbidities (2.79 vs. 2.09, p <0.001). Finally, clinical MGUS were significantly more likely to have arrhythmias (OR 1.45, p 0.05), chronic kidney diseases (OR 2.42, p <0.001), endocrine diseases (OR 1.82, p <0.001), heart failure (OR 2.60, p <0.001), neurological diseases (OR 3.07, p <0.001) or rheumatological diseases (OR 3.25, p <0.001). Discussion In this large population-based study including 75,000 screened individuals, we found clinical MGUS cases to be older, more likely to live in Iceland's capital area, and have a higher M-protein concentration than those found to have MGUS while screened on the iStopMM study. Individuals with clinical MGUS also had a higher number of underlying comorbidities and were 1.5-3.3 times more likely to suffer from arrhythmias, chronic kidney diseases, endocrine disorders, heart failure, neurological diseases, and rheumatological diseases. Our findings highlight the importance of screening studies to evaluate the true epidemiological and biological implications of MGUS and suggest selection bias in prior studies. Figure 1 Figure 1. Disclosures Kampanis: The Binding Site: Current Employment. Hultcrantz: Daiichi Sankyo: Research Funding; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees, Research Funding; Curio Science LLC: Consultancy; Amgen: Research Funding; Intellisphere LLC: Consultancy. Durie: Amgen, Celgene/Bristol-Myers Squibb, Janssen, and Takeda: Consultancy; Amgen: Other: fees from non-CME/CE services . Harding: The Binding Site: Current Employment, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties. Landgren: Janssen: Honoraria; Janssen: Other: IDMC; Takeda: Other: IDMC; Janssen: Research Funding; Celgene: Research Funding; Amgen: Honoraria; Amgen: Research Funding; GSK: Honoraria. Kristinsson: Amgen: Research Funding; Celgene: Research Funding.

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Capture Rate of the Adaptive Next Generation Sequencing VDJ Assay in Multiple Myeloma

Blood ◽

10.1182/blood-2018-99-118768 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 3184-3184 ◽

Cited By ~ 2

Author(s):

Malin Hultcrantz ◽

Even H Rustad ◽

Venkata Yellapantula ◽

Theresia Akhlaghi ◽

Allison Jacob ◽

...

Keyword(s):

Multiple Myeloma ◽

Bone Marrow ◽

Board Of Directors ◽

Light Chain ◽

Research Funding ◽

Plasma Cells ◽

Somatic Hypermutation ◽

Capture Rate ◽

Genomic Aberration ◽

Advisory Committees

Abstract Background Minimal residual disease (MRD) negativity is a strong predictor for outcome in multiple myeloma. Next generation sequencing (NGS) for immunoglobulin heavy chain and kappa light chain VDJ rearrangements has become increasingly more common for MRD assessment. One of the known challenges with NGS for VDJ rearrangements is the vast diversity of sequences that are present, resulting in a need for a multiplex approach as common primers cannot be used to amplify all rearrangements. Also, somatic hypermutation may affect the annealing of primers and decrease the capture rate. The NGS VDJ assay developed by Adaptive Biotechnologies targets all theoretical combinations of VDJ sequences and has been used in several recent large randomized trials in multiple myeloma. The reported ~80% capture rate of the first version of the Sequenta/Adaptive 1.3 assay limited the ability to track MRD status post therapy. The assay has recently been updated and validated to increase resilience to somatic hypermutation. As there is no published reference data using this assay, we were motivated to assess VDJ capture in the clinical setting. Methods In total, 147 patients with newly diagnosed multiple myeloma (NDMM, n=101) or relapse/refractory multiple myeloma (RRMM, n=46) seen at Memorial Sloan Kettering Cancer Center were identified and included in the study. At bone marrow collection, patient samples were sorted for mononuclear cells and a subset of samples were sorted for CD138+ plasma cells. Stored bone marrow samples from these patients underwent DNA extraction and were sequenced with the Adaptive NGS VDJ assay. The same samples were also sequenced for genomic events using our internal NGS panel myTYPE. myTYPE is a custom capture panel targeting the most frequent multiple myeloma associated-somatic mutations, copy number alterations, and IGH translocations. Logistic regression was used to calculate odds ratios (ORs) with 95% confidence intervals (CIs) of detection success in relation to clinical parameters such as age, gender, percent bone marrow plasma cells, as well as immunoglobulin heavy and light chain types, and myTYPE positivity. Results There overall capture rate for a unique VDJ sequence was 80%, 75% in NDMM samples and 89% in RRMM samples, respectively. The VDJ capture rate in samples that were myTYPE positive, e.g. samples with at least one genomic aberration detected by myTYPE, was 94%. In univariate analysis, the ORs of detecting a clonal VDJ sequence was 1.8 (95% CI 1.3-2.5) and 1.5 (1.2-1.9) for every 10% increase in plasma cells on bone marrow aspirate and biopsy, respectively. For every 1g/dL increase in M-spike, the OR of VDJ capture was 1.6 (1.2-2.2). Samples with at least one genomic aberration detected by myTYPE had a significantly higher detection rate of VDJ sequence, the OR of VDJ capture in myTYPE positive samples was 8.8 (3.2-31.3). Conversely, age, gender, type of immunoglobulin heavy chain (IgG or IgA), or light chain type (kappa or lambda) had no significant effect on the VDJ detection rate (Table). In multivariate analysis, myTYPE positivity was found to be an independent predictor of VDJ capture, with an OR of 4.9 (1.6-18.4, p=0.009) for myTYPE positive samples. The ORs were 1.4 (1.1-2.2, p=0.052) for an increase in 10% plasma cells on bone marrow aspirate and 1.5 (0.97-2.3, p=0.083) every 1g/dL increase in M-spike. Conclusion The VDJ capture rate using the updated Adaptive NGS VDJ assay was 94% in multiple myeloma samples of high quality as indicated by myTYPE positivity. The capture success rate was higher in samples with a greater disease burden. As expected, the assay was less sensitive in samples with insufficient DNA content. Our results are supportive of the use of this NGS VDJ in multiple myeloma, but also illustrate the importance of optimal sample ascertainment and processing. Disclosures Jacob: Adaptive Biotechnologies: Employment, Equity Ownership. Korde:Amgen: Research Funding. Mailankody:Juno: Research Funding; Physician Education Resource: Honoraria; Janssen: Research Funding; Takeda: Research Funding. Lesokhin:Serametrix, inc.: Patents & Royalties: Royalties; Squibb: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria; Janssen: Research Funding; Genentech: Research Funding. Hassoun:Oncopeptides AB: Research Funding. Smith:Celgene: Consultancy, Patents & Royalties: CAR T cell therapies for MM, Research Funding. Landgren:Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Consultancy; Amgen: Consultancy, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm: Consultancy; Merck: Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Research Funding.

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Identification of Dual PI3K/mTOR and BCL2 Inhibitors for the Treatment of High Risk Multiple Myeloma

Blood ◽

10.1182/blood.v124.21.646.646 ◽

2014 ◽

Vol 124 (21) ◽

pp. 646-646

Author(s):

Raija Silvennoinen ◽

Muntasir Mamun Majumder ◽

David Tamborero ◽

Pekka Anttila ◽

Samuli Eldfors ◽

...

Keyword(s):

Bone Marrow ◽

High Risk ◽

Risk Stratification ◽

Research Funding ◽

Drug Sensitivity ◽

Plasma Cells ◽

Ex Vivo ◽

Treatment Options ◽

Risk Markers ◽

Nras Mutation

Abstract Introduction Multiple myeloma (MM) is an incurable malignant plasma cell disease with the highest incidence occurring at 65-70 years of age while 10% of patients are diagnosed below 55 years of age. The International Myeloma Working Group recently proposed new risk stratification standards for MM patients: high-risk (HR), standard (SR) and low-risk (LR) groups (Leukemia 2014, 28, 269−77). Although a median overall survival of LR patients is > 10 years from the diagnosis, new drugs and therapeutic innovations are urgently needed for HR patients (20%) who have a median overall survival of only two years. To identify new treatment options for MM patients, we compared ex vivo drug sensitivity data from primary CD138+ cells to standard risk stratification markers. Ex vivo responses indicated a number of investigational drugs as potential novel options for HR MM patients with links to risk markers. Methods Bone marrow aspirates were collected from newly diagnosed (n=14) and relapsed/refractory (n=21) MM patients. Cytogenetics were determined by fluorescence in situ hybridization (FISH) and the patients stratified based on the presence or absence of adverse FISH markers (t(4;14) and 17p del). Plasma cells (CD138+) were enriched from freshly isolated bone marrow samples and exome sequencing performed using DNA extracted from the CD138+ cells and matched skin biopsies. Ex vivo drug sensitivity was assessed by measuring the viability of the cells after 3-day incubation with 306 different oncology drugs in a 10,000-fold concentration range. Drug sensitivity scores were calculated based on the normalized area under the dose response curve (Scientific Reports 2014, 4, 5193) and select sensitivities determined by comparing results to healthy bone marrow cells. Based on drug sensitivities, the patients were classified in four different groups (sensitive, moderately sensitive, resistant and highly resistant). Results Of the 35 patients included in this study, 11 were classified as HR (31%) and 24 as SR/LR (69%). In the HR group 6/11 (55%) had t(4;14) and 5/11 patients (45%) had 17p13 del. In the SR/LR group common abnormalities included 13 monosomy/13q del (10/24), 1q gain (10/24) and K/NRAS mutation (11/24). Within the HR group, other co-occurring abnormalities included 1q gain (9/11), 13 monosomy/13q del (6/11), K/NRAS mutation (5/11), and TP53 mutation (2/11). Based on overall ex vivo drug sensitivity profiles of all patients, the majority of HR patients were classified as moderately sensitive (8/11; 73%) while SR/LR patients had diverse responses from sensitive to highly resistant. In the HR group, the highest select sensitivities were to BH3 mimetics and PI3K/mTOR inhibitors. While the t(4;14) is predicted to lead to upregulation and increased activity of the FGFR3, which could be targeted by FGFR inhibitors, none of the t(4;14) samples showed sensitivity to these drugs. However, with the exception of one t(4;14) sample, the rest all showed good sensitivity to dual PI3K/mTOR inhibitors, but not to rapalogs, suggesting that inhibition of PI3K and the mTORC1/2 complexes is required to inhibit t(4;14) cell growth rather than mTORC1 alone. Of the 17p del patients, 3/5 were classified as moderately sensitive, 1/5 sensitive and 1/5 highly resistant based on ex vivo drug response of CD138+ cells. All showed select sensitivity to BH3 mimetics/BCL2 inhibitors (navitoclax/ABT-263 and venetoclax/ABT-199/GDC-0199), while response to other drugs varied. Therefore, blocking cell survival signaling is likely essential for this group of HR MM patients. Conclusion By assessing the ex vivo sensitivity of primary plasma cells to a large collection of oncology drugs and comparing these data to standard risk stratification markers for MM, we have been able to identify potential new treatment options for high risk MM patients including dual PI3K/mTOR and BCL2- inhibitors. Although a larger cohort of patients is required to support the correlation between specific drug sensitivities and risk markers, these preliminary data indicate that currently used risk markers may be useful to predict the use of novel treatments. Disclosures Silvennoinen: Janssen-Cilag: Research Funding; Celgene: Research Funding; Janssen-Cilag: Honoraria; Sanofi: Honoraria; Celgene: Honoraria. Porkka:BMS: Honoraria; BMS: Research Funding; Novartis: Honoraria; Novartis: Research Funding; Pfizer: Research Funding. Heckman:Celgene: Research Funding.

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Generation of An Automated Tool for the Identification of Genetics Markers and Signatures in Multiple Myeloma Risk-Stratification

Blood ◽

10.1182/blood.v118.21.2881.2881 ◽

2011 ◽

Vol 118 (21) ◽

pp. 2881-2881

Author(s):

Esteban Braggio ◽

Jonathan J Keats ◽

Shaji Kumar ◽

Gregory Ahmann ◽

Jeremy Mantei ◽

...

Keyword(s):

Gene Expression ◽

Multiple Myeloma ◽

High Risk ◽

Risk Stratification ◽

Research Funding ◽

Plasma Cells ◽

Risk Group ◽

High Risk Group ◽

Proliferation Index ◽

Gene Index

Abstract Abstract 2881 Multiple myeloma (MM) is characterized by a remarkable heterogeneity in outcome following standard and high-dose therapies. Significant efforts have been made to identify genetic changes and signatures that can predict clinical outcome and include them in the routine clinical care. Gene expression profiling (GEP) studies have achieved a central role in the study of multiple myeloma (MM), as they become a critical component in the risk-based stratification of the disease. To molecularly stratify disease-risk groups, we performed GEP on purified plasma cells (obtained from the immunobead selection of CD138+ cells) from 489 MM samples in different stages of the disease using the Affymetrix U133Plus2.0 array. A total of 162 probes were analyzed using an in house automated script to generate a GEP report with the most used risk stratification indices and signatures, including the UAMS 70-gene, UAMS class, TC classification, proliferation and centrosome signature, and NFKB activation indices. In a subset of 57 samples, IgH translocations were analyzed using FISH and results were correlated with GEP data. A macrophage index was calculated and used as a surrogate measurement of non-plasma cell contamination. A total of 49 samples (10%) were excluded from subsequent analysis as the macrophage index indicated a significant contamination with no plasma cells, hence potentially compromising the results. The percent of high-risk disease patients identified from different signatures ranged from 26.4% by using high proliferation index to 28.8% with high centrosome signature and 31.3% with high 70-gene index. This percent of high-risk cases based on the 70-gene index is similar to what was found in Total therapy 2 (TT2) and TT3 cohorts. A third of patients (33.2%) were classified as D1 in the TC class, followed by 11q13 (19.3%), D2 (16.4%), 4p16 (13.8%), MAF (6.1%), None (4.7%), D1+D2 (4.5%) and 6p21 (1.8%). The NF-kB pathway was likely activated in 45.5% to 59.5% of cases, depending on the index used for its calculation. High proliferation index and high centrosome signature significantly correlates with 70-gene high-risk group (p<0.0001). Conversely, the activation of NF-kB pathway was not significantly different between high- and low- risk subgroups. TC subgroups D1 (p<0.0001) and 11q13 (p=0.01) were significantly more common in the 70-gene low-risk group. Similarly, TC subgroups 4p16 (p=0.0004), Maf (p=0.02) and D2 (p=0.05) were enriched in the high-risk group. Translocations t(4;14)(p16;q32), t(11;14)(q13;q32) and t(14;16)(q32;q23) were precisely predicted by the TC classification (100% correspondence). Cases with IgH translocations with unknown partner were classified in subgroups D1 (33%), D2 (25%), 6p21 (25%) and Maf (16%). Here we summarized the associations between the most significant gene expression indices and signatures relevant to MM risk-stratification. The multiple variables simultaneously analyzed in an automated way, provide a powerful and fast tool for risk-stratification, helping in the therapeutic decision-making. Disclosures: Stewart: Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Onyx Pharmaceuticals: Consultancy, Research Funding. Fonseca:Consulting :Genzyme, Medtronic, BMS, Amgen, Otsuka, Celgene, Intellikine, Lilly Research Support: Cylene, Onyz, Celgene: Consultancy, Research Funding.

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