scholarly journals Impact of t(11;14) on the Outcome of Autologous Transplantation in Multiple Myeloma: A Matched-Pair Analysis

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4607-4607
Author(s):  
Neeraj Y Saini ◽  
Ankur Varma ◽  
Junsheng Ma ◽  
Denái R. Milton ◽  
Romil Patel ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Propensity Score ◽  
Board Of Directors ◽  
Research Funding ◽  
Matched Pair ◽  
Control Group ◽  
Control Groups ◽  
Advisory Committees ◽  
Standard Risk

Abstract Abstract: Background: The translocation t(11;14)(q13;q32) is the most common chromosomal translocation in multiple myeloma (MM) with a reported frequency of 15-20%. Most, but not all, reports in the literature have identified this translocation with a relatively favorable outcome. In a smaller cohort, we had previously reported the impact of t(11;14) on the outcomes of MM patients who underwent autologous hematopoietic transplantation (auto-HCT) at our institution1. In this study, we present an updated analysis with a larger cohort of t(11;14) patients, and compared their outcomes to a propensity-matched control group of MM patients with normal diploid cytogenetics and no high-risk abnormalities detected by Fluorescence in Situ Hybridization (FISH). Methods and patients: A total of 1365 MM patients underwent auto-HCT at our institution from 2007 to 2015. We identified 95 patients with t(11;14) by FISH before auto-HCT. Out of these 95 patients, 44 had t(11;14) alone, 26 had co-existent high-risk abnormalities and remaining 25 had standard-risk abnormalities. The control group included 287 MM patients with normal diploid cytogenetics and no abnormalities detected by FISH. From the above two cohorts, using a 1:1 propensity score-matched analysis without replacement, we identified matched controls for 79 patients with t(11;14). Clinical response, relapse, and progression were defined by the International Myeloma Working group criteria. The FISH technique was performed using a LSI IGH/CCND1 XT dual color, dual fusion translocation probe from Abbott Molecular, Inc. The normal cut off for IGH/MYEOV/CCND1 rearrangement using LSI IGH/CCND1 XT probe established at 95 (P<0.05) confidence level in the our Cytogenetics Laboratory is 0.4% for 1R1G2F; 1.1% for 2R2G1F; 3.4% for 3R2G; 7.4% for 2R3G and 0% for 1R3F signal patterns. Results: Table 1 includes the baseline characteristics of the matched doublets. Patients in both groups were well matched for age, ISS stage, serum creatinine, response to induction therapy, induction and preparative regimens, and maintenance therapy. The median follow-up time for the cohort was 48.1 months (range: 0.8-124.6). The overall response rate (CR+VGPR+PR) after auto-HCT was 77/79 (97%) and 78/79 (99%) patients in the t(11;14) and the control group, respectively (P = 1.00). Twenty eight (35%) and 37 (47%) patients achieved a CR in the t(11;14) and the control group, respectively. VGPR rate in the t(11;14) and the control group was 35 (44%) and 31 (39%), respectively. The median PFS for the t(11;14) and the control groups were 33.3 (95%CI: 25.8-not reached) and 39.7 (95%CI: 36.6-not reached) months, respectively (p = 0.24, stratified log-rank test). The median OS has not been reached for both groups (p=0.35). The 4-year PFS rates in the t(11;14) and the control groups were 42% (95%CI: 31%-57%) and 50% (95%CI: 38%-65%), respectively (Fig. A). The 4-year OS rates in the t(11;14) and the control groups were 76% (95%CI: 65%-90%) and 87% (95%CI: 79%-97%), respectively (Fig. B). Conclusions: On a propensity score matching analysis, multiple myeloma patients with translocation t(11;14) had similar response rates, PFS and OS to auto-HCT as standard-risk patients with normal cytogenetics or FISH studies. References: Qazilbash MH et.al. Impact of t(11;14)(q13;q32) on the outcome of autologous hematopoietic cell transplantation in multiple myeloma. Biol Bone Marrow Transplant 2013 Aug;19(8):1227-32. Disclosures Shpall: Affirmed GmbH: Research Funding. Thomas:Celgene: Research Funding; Acerta Pharma: Research Funding; Array Pharma: Research Funding; Amgen Inc: Research Funding; Bristol Myers Squibb Inc.: Research Funding. Lee:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies Corporation: Consultancy; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Chugai Biopharmaceuticals: Consultancy; Takeda Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees; Kite Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees. Patel:Poseida Therapeutics, Inc.: Research Funding; Takeda: Research Funding; Abbvie: Research Funding; Celgene: Research Funding. Orlowski:Sanofi-Aventis: Consultancy; Kite Pharma: Consultancy; Janssen: Consultancy; Bristol-Myers Squibb: Consultancy; Celgene: Consultancy; Spectrum Pharma: Research Funding; Takeda: Consultancy; BioTheryX: Research Funding; Amgen: Consultancy, Research Funding. Champlin:Otsuka: Research Funding; Sanofi: Research Funding.

scholarly journals Bortezomib, Lenalidomide and Dexamethasone (VRD) Followed By Autologous Stem Cell Transplant for Newly Diagnosed Multiple Myeloma; The Mayo Clinic Experience

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2147-2147
Author(s):  
M Hasib Sidiqi ◽  
Mohammed A Aljama ◽  
Angela Dispenzieri ◽  
Eli Muchtar ◽  
Francis K. Buadi ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Overall Survival ◽  
High Risk ◽  
Maintenance Therapy ◽  
Board Of Directors ◽  
Mayo Clinic ◽  
Research Funding ◽  
Advisory Committees ◽  
Post Transplant ◽  
Standard Risk

Abstract We retrospectively reviewed all patients receiving bortezomib, lenalidomide and dexamethasone induction followed by autologous stem cell transplantation (ASCT) within 12 months of diagnosis for multiple myeloma at the Mayo Clinic. 243 patients treated between January 2010 and April of 2017 were included in the study. Median age was 61 (interquartile range, 55-67) with 62% of patients being male. High risk cytogenetic abnormalities (HRA) were present in 34% of patients. 166 (68%) patients received some form of maintenance/other therapy post transplant (no maintenance (NM, n=77), lenalidomide maintenance (LM, n=108), bortezomib maintenance (BM, n=39) and other therapy (OT, n=19)). Overall response rate was 99% with complete response (CR) rate of 42% and 62% at day 100 and time of best response post transplant respectively. The four cohorts categorized by post transplant therapy were well matched for age, gender and ISS stage. HRA were more common amongst patients receiving bortezomib maintenance or other therapy post transplant (NM 18% vs LM 22% vs BM 68% vs OT 79%, p<0.0001). Two year and five year overall survival rates were 90% and 67% respectively with an estimated median overall survival (OS) and progression free survival (PFS) of 96 months and 28 months respectively for the whole cohort. OS was not significantly different when stratified by post-transplant therapy (Median OS 96 months for NM vs not reached for LM vs 62 months for BM vs not reached for OT, p=0.61), however post-transplant therapy was predictive of PFS (median PFS 23 months for NM vs 34 months for LM vs 28 months for BM vs 76 months for OT, p=0.01). High risk cytogenetics was associated with a worse OS but not PFS when compared to patients with standard risk (median OS: not reached for standard risk vs 60 months for HRA, p=0.0006; median PFS: 27 months for standard risk vs 22 months for HRA, p=0.70). In patients that did not receive maintenance therapy presence of HRA was a strong predictor of OS and PFS (median OS: not reached for standard risk vs 36 months for HRA, p<0.0001; median PFS: 24 months for standard risk vs 7 months for HRA, p<0.0001). Patients receiving maintenance therapy appeared to have a similar PFS and OS irrespective of cytogenetics (median OS: not reached for standard risk vs 62 months for HRA, p=0.14; median PFS: 35 months for standard risk vs 34 months for HRA, p=0.79).On multivariable analysis ISS stage III and achieving CR/stringent CR predicted PFS whilst the only independent predictors of OS were presence of HRA and achieving CR/stringent CR. The combination of bortezomib, lenalidomide and dexamethasone followed by ASCT is a highly effective regimen producing deep and durable responses in many patients. Maintenance therapy in this cohort may overcome the poor prognostic impact of high risk cytogenetic abnormalities. Table Table. Disclosures Dispenzieri: Celgene, Takeda, Prothena, Jannsen, Pfizer, Alnylam, GSK: Research Funding. Lacy:Celgene: Research Funding. Dingli:Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.; Millennium Takeda: Research Funding; Millennium Takeda: Research Funding; Alexion Pharmaceuticals, Inc.: Other: Participates in the International PNH Registry (for Mayo Clinic, Rochester) for Alexion Pharmaceuticals, Inc.. Kapoor:Celgene: Research Funding; Takeda: Research Funding. Kumar:KITE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding. Gertz:Abbvie: Consultancy; Apellis: Consultancy; annexon: Consultancy; Medscape: Consultancy; celgene: Consultancy; Prothena: Honoraria; spectrum: Consultancy, Honoraria; Amgen: Consultancy; janssen: Consultancy; Ionis: Honoraria; Teva: Consultancy; Alnylam: Honoraria; Research to Practice: Consultancy; Physicians Education Resource: Consultancy.

scholarly journals Role of High-Dose Melphalan and Autologous Stem Cell Transplantation in Multiple Myeloma Patients Presenting with t(11;14)

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4580-4580 ◽  
Author(s):  
Eduardo Sobejano ◽  
Veronica Gonzalez De La Calle ◽  
Victor Higuero ◽  
Fernando Escalante ◽  
Ramón García-Sanz ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
University Hospital ◽  
First Line ◽  
Advisory Committees ◽  
Baseline Characteristics ◽  
Standard Risk

INTRODUCTION The t (11; 14) by fluorescent in situ hybridization (FISH) is found in 15-20% of patients with multiple myeloma (MM) . Although it was classically considered a standard risk translocation or even a good prognosis, recent studies conducted in the era of new drugs show contradictory results and it is not well established if they have to be considered intermediate or standard risk. The possibility of using targeted therapy with venetoclax for patients harboring t(11;14) makes the investigation of the outcome of newly diagnosed multiple myeloma (NDMM) with t(11;14) as relevant. METHODS We analyzed the baseline characteristics and outcome of patients with t(11;14)and receiving HDT-ASCT within the series of 647 patients with NDMM between 1988 and 2018 according to the current criteria at each moment at two academic hospitals in Spain (University Hospital of Salamanca and Hospital of Leon) . The FISH was performed on selected cells according to international regulations and centralized at the University Hospital of Salamanca. For this purpose, a descriptive cross-sectional study was first conducted comparing the characteristics of patients with t (11; 14) versus the rest. The final objective wasto evaluate the role of HDT-ASCT in NDMM with t(11;14). RESULTS The baseline characteristics of the whole series were: a median age of 71years (yrs) (range:30-96). 217 patients (33,5%) were under 65 years. 352 (56.2%) were IgG; 161 (25.7%) IgA; 87 (13.9%) Bence Jones; 19 (3%) non-secretors, and 5 and 2 cases were IgD and IgM, respectively. 320 (53.2%) received novel agents as part of the first line of therapy. Overall, 153 (27.8%) achieved complete response (CR) after first line, and 403 (73.1%) at least a partial response. After a median follow-up for living patients of 4.26 yrs (range: 0,1-27.3), the OS of the entire series was 2.74 years. T(11;14) was performed in 440 NDMM patients and was positive in 80 (18.2%). Only in 5 patients other high-risk alterations (t (14:16), t (4:14) or del17p (p53)) were detected. The baseline characteristics of patients with and without t (11:14) did not show significant differences, except for the heavy chain pattern(p <0,001). IgA was lower in patients with t(11:14) 12,8% (10 out of 78)vs 27,7% (98 out of 353). Of note, most patients with non-secretory MM (10 out of 16, 62,5%) had the t(11;14) whilst in the conventional secretory MM patients, t(11;14) was observed in 68out of 415(16,4%). In addition, the plasma cell bone marrow infiltration was significantly higher in patients with t(11;14)(> 60% Plasma Cells) 32.8% vs 13.3%(p <0.001)). HDT-ASCT was performed in 162 patients (25%)and 22 of them (13,5%) were positive for the t(11:14) and only in 2 patients, other high-risk alterations were detected.The induction therapy received in both treatments arms was homogeneous basically consisted on combinations of proteasome inhibitors plus immunomodulatory drugs. The median OS for NDMM patients undergoing ASCT was 4,33 years. (range: 0,47-26,85) and the median PFS for this patients was 2,25 yrs (range: 0,1-27,25) The median PFS for patients with t (11/14) undergoing ASCT trended to be higher than that observed in patients without t(11;14) who received also HDT-ASCT (99.1 vs 54.9 months), without obtaining significant results, (p 0.205) maybe due to the small number of patients (Figure 1).The median OS in the group of patients with and without t(11:14) undergoing ASCT was 120,8 vs 140 months (p= 0,829). In the cohort of non eligible ASCT patients both median PFS and OS for patients with t(11:14) was similar than that observed in patients without t(11:14)(median PFS of 19,9 vs 19,4 months) (p 0,438) and (median OS of 31,5 vs 44 months) (p 0,424), respectively. CONCLUSION T(11;14) seems to be a cytogenetic abnormality more frequently observed in patients with NDMM and non secretory phenotype what requires further investigation. Patients with t(11;14) benefit the most if they received HDT-ASCT and it would represent a therapeutic strategy of choice if the patient is transplant-eligible. Figure 1 Disclosures Puig: Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding; The Binding Site: Honoraria; Takeda, Amgen: Consultancy, Honoraria. Mateos:Abbvie: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Pharmamar: Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive: Honoraria; EDO: Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees.

High Risk Multiple Myeloma Cases Are Identified In An MMRC Led Study By The SKY92 Gene Signature (MMprofiler)

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 1854-1854
Author(s):  
Erik H van Beers ◽  
Martin H. Van Vliet ◽  
Kenneth C. Anderson ◽  
Ajai Chari ◽  
Sundar Jagannath ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Multiple Myeloma ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Rna Extraction ◽  
Hazard Ratio ◽  
Advisory Committees ◽  
Equity Ownership ◽  
Standard Risk

Abstract Introduction Multiple Myeloma is not a single disease. There is increasing support for risk classification in combination with treatment decision making because of its impact on clinical outcomes. Here we demonstrate additional evidence of the prognostic value of SKY92, an established genetic marker of high risk Multiple Myeloma in a multicenter collection of samples with undisclosed treatments. Materials Methods A public GEP dataset (MMRC, MMGI portal) contained 114 cases of untreated Multiple Myeloma and was used for SKY92 high risk OS prediction (Kuiper et al. Leukemia 2012). In collaboration with MMRC, OS (with a minimum of at least 2 year follow-up) was collected for 91 of 114 cases for the purpose of this analysis. Briefly, CD138-positive plasma cells had been purified prior to total RNA extraction and subsequent gene expression profiling on Affymetrix U133Plus2.0 GeneChips. The 91 cases represented 9 different clinical sites and their CEL files were normalized as a single batch against a reference cohort of 329 cases after which the SKY92 risk scores were determined as either standard risk or high risk. Results SKY92 resulted in 19 high risk (20.9%) versus 72 standard risk (79.1%) cases in the unselected 91 case-cohort. Comparisons with other high risk GEP signatures will be performed. The OS analysis (Figure 1) shows that the HR cases have significantly shorter survival (Hazard Ratio 11, p = 7 x 10-5). Table 1 shows that high risk patients had more elevated B2M (26.3% vs 13.9%), more low albumin (26.3% vs 16.7%) and more high creatinine (26.3% vs 11.0%). There was no difference between high and standard groups in diagnosis dates (not shown). Cause of the 16 (84.2%) deaths among the high risk cases, and 21 (29.1%) deaths among the standard risk cases indicates that high risk contains less disease progression deaths (57.1% vs 31.3%), and more unknown deaths (56.3% vs 23.8%). Conclusions The SKY92 classifier identified 19 of 91 cases (21%) as high risk, recapitulating the percentage of high risk in previously studied cohorts (Kuiper et al. 2012). Moreover the hazard ratio of 11 when events up to 24 months or 8.18 when all events are considered, emphasizes the unmet medical need of high risk cases identified with SKY92 as 69% of all deaths within 2 years (9/13 death events) were in this category. Acknowledgments This research was performed within the framework of CTMM, the Center for Translational Molecular Medicine, project BioCHIP grant 03O-102. Rafael Fonseca is a Clinical Investigator of the Damon Runyon Cancer Research Fund. This work is supported by grants R01 CA83724, ECOG CA 21115T, Predolin Foundation, Mayo Clinic Cancer Center and the Mayo Foundation. Disclosures: van Beers: Skyline Diagnostics: Employment. Van Vliet:Skyline Diagnostics: Employment. Anderson:celgene: Consultancy; onyx: Consultancy; gilead: Consultancy; sanofi aventis: Consultancy; oncopep: Equity Ownership; acetylon: Equity Ownership. Jagannath:Celgene: Honoraria; Millennium: Honoraria. Jakubowiak:BMS: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau; Millennium: Consultancy, Membership on an entity’s Board of Directors or advisory committees; Onyx: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau. Kumar:Celgene: Clinical Trial Support Other, Membership on an entity’s Board of Directors or advisory committees; Cephalon: Clinical Trial Support, Clinical Trial Support Other; Millennium: Clinical Trial Support, Clinical Trial Support Other, Membership on an entity’s Board of Directors or advisory committees; Novartis: Clinical Trial Support, Clinical Trial Support Other; Onyx: Clinical Trial Support Other, Membership on an entity’s Board of Directors or advisory committees. Lebovic:Celgene: Speakers Bureau; Onyx: Speakers Bureau. Lonial:Millennium: Consultancy; Celgene: Consultancy; Novartis: Consultancy; BMS: Consultancy; Sanofi: Consultancy; Onyx: Consultancy. Reece:Onyx: Honoraria; Novartis: Honoraria; Millennium: Research Funding; Merck: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; BMS: Research Funding. Siegel:Celgene: Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau; Millennium: Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau; Onyx: Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau. Vij:Celgene: Honoraria, Research Funding, Speakers Bureau; Millennium: Honoraria, Speakers Bureau; Onyx: Honoraria, Research Funding, Speakers Bureau. Zimmerman:Celgene: Honoraria; Millennium: Honoraria; Onyx: Honoraria. Fonseca:Medtronic: Consultancy; Otsuka: Consultancy; Celgene: Consultancy; Genzyme: Consultancy; BMS: Consultancy; Lilly: Consultancy; Onyx: Consultancy, Research Funding; Binding Site: Consultancy; Millennium: Consultancy; AMGEN: Consultancy; Cylene: Research Funding; Prognostication of MM based on genetic categorization of the disease: Prognostication of MM based on genetic categorization of the disease, Prognostication of MM based on genetic categorization of the disease Patents & Royalties.

scholarly journals Daratumumab with Pomalidomide and Dexamethasone at First Relapse in Relapsed and/or Refractory Multiple Myeloma (RRMM) Patients

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1616-1616
Author(s):  
Nisha Joseph ◽  
Kathryn T. Maples ◽  
Kevin Hall ◽  
Vikas A Gupta ◽  
Larry H. Boise ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Education Research ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Cell Transplant ◽  
Advisory Committees ◽  
First Relapse ◽  
Standard Risk ◽  
Privately Held

Abstract Background: Despite significant advances in therapeutic options for multiple myeloma (MM) patients, there is an ongoing need to identify effective treatment strategies in the relapsed space. The efficacy of daratumumab, pomalidomide and dexamethasone (DPD) in relapsed and/or refractory patients has been demonstrated in clinical trials, but there is limited data at first relapse in a real world setting. Here, we present a retrospective analysis utilizing our institutional data of multiple myeloma patients treated with DPD at first relapse at the Winship Cancer Institute of Emory University. Methods: Ninety relapsed and/or refractory myeloma (RRMM) patients were identified who had received only one prior line of therapy and subsequently treated with DPD at first relapse. Dose-adjustments were made based on the treating physician's discretion and patient tolerability. Demographic and outcomes data for the patients were obtained from our IRB approved myeloma database and responses were evaluated per IMWG Uniform Response Criteria. Results: The median age of this cohort was 61.9 years (range, 38-85). Other notable patient characteristics include: M/F 44.4%/55.6%; W/AA/Asian 50%/46.7%/3.3%; ISS I/II/III 28.9%/31.1%/20%; Isotype IgG/IgA/FLC 62.2%/17.8%/16.7%; standard risk/high risk 21.1%/52.2%. High risk disease was defined as the presence of t(4;14), t(14;16), del(17p), and/or complex karyotype. A total of 69 patients (76.7%) underwent autologous stem cell transplant (ASCT) upfront after attaining at least a partial response with induction therapy. The most common induction regimen was RVD (78.9%). 81.1% of patients received maintenance therapy, with 50.5% receiving single-agent lenalidomide maintenance and 72.2% receiving a lenalidomide-based maintenance regimen (RVD: 8 pts; Rd: 4 pts; IRD: 7 pts, KRD: 1 pt). With a median follow up of 72 months, the median OS from diagnosis was 158.6 months (95% CI 126.7-190.5) for the entire cohort. The median PFS from time of initiation of DPD was 15.6 months (95% CI 9.9-21.2), and the median OS from time of initiation of DPD was 41.3 months. For high risk vs standard risk patients, the mPFS from time of initiation of DPD was 7.2 months (95% CI 3.6-10.7) vs 17.6 months (95% CI 10.9-24.3), respectively. Median PFS2 in patients &lt;2 years and &gt;2 years from transplant was 8.6 months vs NR, respectively. Conclusions: These results illustrate the activity of DPD at first relapse in a predominantly len-refractory RRMM cohort of patients with impressive long-term outcomes. This benefit was particularly demonstrated in patients with time to relapse of &gt;2 years post-transplant. Figure 1 Figure 1. Disclosures Joseph: GSK: Honoraria; BMS: Research Funding; Takeda: Research Funding; Karyopharm: Honoraria. Boise: AstraZeneca: Honoraria, Research Funding; AbbVie/Genentech: Membership on an entity's Board of Directors or advisory committees. Hofmeister: BlueBird Bio: Other: Non-CME speaker; Aptitude Health: Other: Non-pharma speaker for education, research, marketing; Verascity: Other: Non-pharma speaker for education, research, marketing; TRM Oncology: Other: Non-pharma speaker for education, research, marketing; DAVA Oncology: Other: Non-pharma speaker for education, research, marketing; Medscape: Other: Non-pharma speaker for education, research, marketing; Amgen: Other: Non-CME speaker; BMS: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Philips Gilmore: Other: CME speaker; Non-pharma speaker for education, research, marketing; BioAscend: Other: CME speaker; Imbrium: Membership on an entity's Board of Directors or advisory committees; Myeloma360: Membership on an entity's Board of Directors or advisory committees; Genzyme: Membership on an entity's Board of Directors or advisory committees; Takeda: Other: Local PI of CST; Oncolytics: Other: National PI for CST; PI or co-PI IST; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees, Other: Local PI of CST; Janssen: Membership on an entity's Board of Directors or advisory committees, Other: Local PI of CST; Nektar Therapeutics: Membership on an entity's Board of Directors or advisory committees, Other: Local PI of CST; BMS/Celgene: Other: National PI for CST; PI or co-PI IST; Local PI of CST; Sanofi: Other: National PI for CST; PI or co-PI IST; Ohio State University: Current Employment, Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company, Membership on an entity's Board of Directors or advisory committees, Other: IP rights, Patents & Royalties. Kaufman: Incyte, TG Therapeutics: Membership on an entity's Board of Directors or advisory committees; Sutro, Takeda: Research Funding; Roche/Genetech, Tecnopharma: Consultancy, Honoraria; Fortis Therapeutics: Research Funding; Heidelberg Pharma: Research Funding; BMS: Consultancy, Research Funding; Amgen: Research Funding; Tecnofarma SAS, AbbVie: Honoraria; Incyte, celgene: Consultancy; Janssen: Honoraria; Novartis: Research Funding; Genentech, AbbVie, Janssen: Consultancy, Research Funding. Lonial: Abbvie: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Honoraria, Research Funding; BMS/Celgene: Consultancy, Honoraria, Research Funding; GlaxoSmithKline: Consultancy, Honoraria, Research Funding; Merck: Honoraria; AMGEN: Consultancy, Honoraria. Nooka: GlaxoSmithKline: Consultancy, Other: Travel expenses; Amgen: Consultancy, Research Funding; Oncopeptides: Consultancy; Janssen Oncology: Consultancy, Research Funding; Sanofi: Consultancy; Karyopharm Therapeutics: Consultancy; Takeda: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy; Adaptive technologies: Consultancy.

Predicting Poor Overall Survival in Patients with Newly Diagnosed Multiple Myeloma and Standard-Risk Cytogenetics Treated with Novel Agents

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3255-3255
Author(s):  
Moritz Binder ◽  
S. Vincent Rajkumar ◽  
Rhett P. Ketterling ◽  
Angela Dispenzieri ◽  
Martha Q. Lacy ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Overall Survival ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Median Overall Survival ◽  
Intermediate Risk ◽  
Advisory Committees ◽  
Poor Overall Survival ◽  
Standard Risk

Abstract Background: Cytogenetic evaluation using fluorescence in situ hybridization (FISH) at the time of diagnosis is essential for initial risk stratification in multiple myeloma. Despite the absence of cytogenetic high-risk abnormalities a subset of patients does experience poor overall survival comparable high-risk disease (i.e. median overall survival less than three years after diagnosis). We aimed to identify demographic, clinical, and cytogenetic characteristics predicting poor three-year overall survival in patients with standard-risk cytogenetics. Methods: We studied 428 patients who were diagnosed with multiple myeloma between July 2004 and July 2014 at Mayo Clinic Rochester, underwent FISH evaluation within six months of diagnosis, and received treatment with novel agents (immunomodulator, proteasome-inhibitor, or a combination thereof). Patients with high- and intermediate-risk cytogenetics as well as patients lost to follow-up within three years were excluded. High-risk cytogenetics were defined as del(17p), t(14;16), and t(14;20). Intermediate-risk cytogenetics were defined as t(4;14) and gain(1q). Bone marrow aspirates were evaluated for deletions, monosomies, trisomies, and tetrasomies using chromosome- or centromere-specific FISH probes. IGH rearrangements were evaluated using an IGH break-apart probe and evaluating up to five potential partners (FGFR3, CCND1, CCND3, MAF, and MAFB). A multivariable-adjusted logistic regression model was used to assess the associations between the parameters of interest and three-year overall survival. Discrimination and calibration of the model were evaluated using the c-statistic and the Hosmer-Lemeshow test, respectively. The odds ratios of the identified predictors were rounded up to the next integer and assigned as points in a scoring system. Receiver operating characteristic analysis was used to determine the optimal cut-point and associated test performance characteristics. P-values below 0.05 were considered statistically significant. Results: The median age at diagnosis was 65 years (31 - 95), 259 (61%) of the patients were male. The median overall survival was 7.4 years (6.1 - 8.6) for the entire cohort (n = 428), 10.5 years (8.3 - NR) for those who survived at least three years (n = 327, 76%), and 1.6 years (1.2 - 1.7) for those who did not survive three years after diagnosis (n = 101, 24%). The factors associated with poor three-year overall survival and the derived scoring system are summarized in Table 1. Conclusions: Patients with multiple myeloma and standard-risk cytogenetics are a heterogeneous group. One fourth of the patients are experiencing less than three years of overall survival after diagnosis. Stage, age, extent of bone marrow involvement, karyotype, and platelet count at the time of diagnosis were helpful in identifying patients at risk for poor three-year overall survival. These findings emphasize the importance of further risk stratification in this patient population and warrant external validation. Disclosures Dispenzieri: Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Jannsen: Research Funding; pfizer: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Alnylam: Research Funding. Kapoor:Takeda: Research Funding; Amgen: Research Funding; Celgene: Research Funding. Kumar:AbbVie: Research Funding; BMS: Consultancy; Amgen: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Noxxon: Consultancy, Honoraria; Janssen: Research Funding; Skyline: Consultancy, Honoraria.

scholarly journals Targeted Deep Sequencing As a Clinically Effective Approach to Profile the Mutational Landscape in Multiple Myeloma

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 37-38
Author(s):  
Samuel Cutler ◽  
Dan Gaston ◽  
Philipp Knopf ◽  
Andrea Thoni ◽  
Nicholas Allen Forward ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Board Of Directors ◽  
Cell Lines ◽  
Research Funding ◽  
Advisory Committees ◽  
Clinical Correlates ◽  
High Severity ◽  
Risk Patients ◽  
Standard Risk

Introduction: Multiple Myeloma (MM) is the second most common hematological malignancy in North America. It is characterized by invasion of the bone marrow by malignant plasma cells. This malignancy presents with a broad range of primary genomic lesions that dichotomize cases into hyperdiploidy or IgH translocated. Less recurrent secondary focal events, including indels and SNPs, are also reported, however, their clinical correlates are poorly described. In this study, we examine the exonic landscape of 26 genes reported to be mutated in &gt;1% of myeloma patients via deep sequencing using a custom panel. We assess a cohort of 76 patients banked in the QEII Myeloma Tumor Bank with detailed clinical correlates and 4 MM cell lines for their mutational profile. Methods: DNA Library preparations were performed from CD138+ cells (76 MM) and 4 MM cell lines according to Illumina TruSeq protocol and sequenced at a depth of 1000x using a custom designed mutation panel. Variants were called by six somatic variant callers and correlates with patient clinical data were assessed. Results: A total of 376 mutations were identified within 63 patients (325) and 4 cell lines (51); no mutations were identified in 13 patients. ATM was the most mutated gene and KRAS had the highest number of mutations per kilobase. Forty three patients harbored 1-4 mutations, 12 patients harbored 5-9, and 8 patients harbored ≥10 mutations. Progression-free survival (PFS) was found to be significantly reduced in patients harboring high-severity mutations (frame shift, splice site, and stop altering mutations) (n =15 HR = 2.85; 95% CI: 1.3-6.35; p = 0.01). We also assessed mutations by the pathogenicity scoring algorithms rfPred, SIFT, MutationTaster, Polyphen2, and FATHMM-FX, as well as SPLICEAI which predicts splicing impacts of mutations. FATHMM-FX was the only algorithm to identify mutations that define a group with significantly altered PFS (n = 5; HR = 6.7; 95% CI: 2.5-18; p &lt; 0.001). We then combined these indicators to define high-risk patients such that a patient is considered high risk if they harbor one or more mutations that are high-severity or predicted by FATHMM-FX to be pathogenic. Of the 376 in our cohort, 23 were high-risk markers, 19 of which were in patient samples. This classified 16 of 76 patients as high risk which had significantly reduced PFS (n = 16; HR = 3.5; 95% CI: 1.6-7.6; p = 0.002) (Fig. 1 A-B). Notably, 2 high risk mutations were found in 3 patients, one of whom had plasma cell leukemia (PCL) and the other progressed to PCL. This group had a markedly reduced PFS (n = 3; HR = 16; 95% CI: 2.9-83; p = 0.001) (Fig. 1 C-D). Additionally, focal copy-number alterations (CNVs) were probed from panel data, and patients harboring 2 or more focal CNVs had significantly reduced PFS (n = 10, HR = 3.2, 95% CI: 1-9.1, p = 0.043). Combining focal CNV and mutation risk identified 24 patients with significantly reduced PFS (HR = 4.2; 95% CI: 1.9-9.1; p &lt; 0.001) (Fig. 1 E-F). Harboring a high-risk mutation or more than one focal CNV was independent of age, ISS stage, Beta-2 microglobulin, serum albumin, LDH, and bone marrow plasma cell burden. Of 48 fluorescent in situhybridization (FISH) assessed patients, 12 had 'high risk' FISH findings, none of whom had severe mutations though 1 harbored two focal CNVs. Of the 36 patients standard-risk by FISH, 12 had high-risk mutations, and 5 had more than one panel identified focal CNV. Combined, these identified 15 high-risk patients in the FISH standard-risk group which had significantly reduced PFS (HR = 3.7; 95% CI: 1.1-12; p = 0.031) (Fig. 1 G-H). Conclusion: Our custom mutation panel demonstrates novel findings that independently redefine prognosis in multiple myeloma in our cohort of Nova Scotian patients. Figure 1 Disclosures Forward: Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AstraZeneca: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees; Calgene: Membership on an entity's Board of Directors or advisory committees; IMV: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees; Astellas: Research Funding; IMV: Research Funding; Merck: Research Funding; Seattle Genetics: Research Funding. White:Karyopharm: Honoraria; Antengene: Honoraria; GSK: Honoraria; Janssen: Honoraria; Celgene: Honoraria; Takeda: Honoraria; Sanofi: Honoraria; Amgen: Honoraria.

scholarly journals Phase II Trial of the Combination of Ixazomib, Lenalidomide, and Dexamethasone in High-Risk Smoldering Multiple Myeloma

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 804-804 ◽  
Author(s):  
Mark Bustoros ◽  
Chia-jen Liu ◽  
Kaitlen Reyes ◽  
Kalvis Hornburg ◽  
Kathleen Guimond ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
High Risk ◽  
Disease Progression ◽  
Board Of Directors ◽  
Rna Sequencing ◽  
Research Funding ◽  
Response Rate ◽  
Advisory Committees ◽  
Equity Ownership

Abstract Background. This study aimed to determine the progression-free survival and response rate using early therapeutic intervention in patients with high-risk smoldering multiple myeloma (SMM) using the combination of ixazomib, lenalidomide, and dexamethasone. Methods. Patients enrolled on study met eligibility for high-risk SMM based on the newly defined criteria proposed by Rajkumar et al., Blood 2014. The treatment plan was designed to be administered on an outpatient basis where patients receive 9 cycles of induction therapy of ixazomib (4mg) at days 1, 8, and 15, in combination with lenalidomide (25mg) at days 1-21 and Dexamethasone at days 1, 8, 15, and 22. This induction phase is followed by ixazomib (4mg) and lenalidomide (15mg) maintenance for another 15 cycles. A treatment cycle is defined as 28 consecutive days, and therapy is administered for a total of 24 cycles total. Bone marrow samples from all patients were obtained before starting therapy for baseline assessment, whole exome sequencing (WES), and RNA sequencing of plasma and bone marrow microenvironment cells. Moreover, blood samples were obtained at screening and before each cycle to isolate cell-free DNA (cfDNA) and circulating tumor cells (CTCs). Stem cell collection is planned for all eligible patients. Results. In total, 26 of the planned 56 patients were enrolled in this study from February 2017 to April 2018. The median age of the patients enrolled was 63 years (range, 41 to 73) with 12 males (46.2%). Interphase fluorescence in situ hybridization (iFISH) was successful in 18 patients. High-risk cytogenetics (defined as the presence of t(4;14), 17p deletion, and 1q gain) were found in 11 patients (61.1%). The median number of cycles completed was 8 cycles (3-15). The most common toxicities were fatigue (69.6%), followed by rash (56.5%), and neutropenia (56.5%). The most common grade 3 adverse events were hypophosphatemia (13%), leukopenia (13%), and neutropenia (8.7%). One patient had grade 4 neutropenia during treatment. Additionally, grade 4 hyperglycemia occurred in another patient. As of this abstract date, the overall response rate (partial response or better) in participants who had at least 3 cycles of treatment was 89% (23/26), with 5 Complete Responses (CR, 19.2%), 9 very good partial responses (VGPR, 34.6%), 9 partial responses (34.6%), and 3 Minimal Responses (MR, 11.5%). None of the patients have shown progression to overt MM to date. Correlative studies including WES of plasma cells and single-cell RNA sequencing of the bone microenvironment cells are ongoing to identify the genomic and transcriptomic predictors for the differential response to therapy as well as for disease evolution. Furthermore, we are analyzing the cfDNA and CTCs of the patients at different time points to investigate their use in monitoring minimal residual disease and disease progression. Conclusion. The combination of ixazomib, lenalidomide, and dexamethasone is an effective and well-tolerated intervention in high-risk smoldering myeloma. The high response rate, convenient schedule with minimal toxicity observed to date are promising in this patient population at high risk of progression to symptomatic disease. Further studies and longer follow up for disease progression are warranted. Disclosures Bustoros: Dava Oncology: Honoraria. Munshi:OncoPep: Other: Board of director. Anderson:C4 Therapeutics: Equity Ownership; Celgene: Consultancy; Bristol Myers Squibb: Consultancy; Takeda Millennium: Consultancy; Gilead: Membership on an entity's Board of Directors or advisory committees; Oncopep: Equity Ownership. Richardson:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; BMS: Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding. Ghobrial:Celgene: Consultancy; Takeda: Consultancy; Janssen: Consultancy; BMS: Consultancy.

scholarly journals Genomic Profiling of Smoldering Multiple Myeloma Classifies Molecular Groups with Distinct Pathogenic Phenotypes and Clinical Outcomes

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 723-723
Author(s):  
Shankara Anand ◽  
Mark Bustoros ◽  
Romanos Sklavenitis-Pistofidis ◽  
Robert A. Redd ◽  
Eileen M Boyle ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Molecular Classification ◽  
Intermediate Risk ◽  
Advisory Committees ◽  
Increased Risk ◽  
Risk Of Progression ◽  
Over Time

Abstract Introduction: Multiple Myeloma (MM) is an incurable plasma cell malignancy commonly preceded by the asymptomatic stage smoldering multiple myeloma (SMM). MM is characterized with significant genomic heterogeneity of chromosomal gains and losses (CNVs), translocations, and point mutations (SNVs); alterations that are also observed in SMM patients. However, current SMM risk models rely solely on clinical markers and do not accurately capture progression risk. While incorporating some genomic biomarkers improves prediction, using all MM genomic features to comprehensively stratify patients may increase risk stratification precision in SMM. Methods: We obtained a total of 214 patient samples at SMM diagnosis. We performed whole-exome sequencing on 166 tumors; of these, RNA sequencing was performed on 100. Targeted capture was done on 48 additional tumors. Upon binarization of DNA features, we performed consensus non-negative matrix factorization to identify distinct molecular clusters. We then trained a random forest classifier on translocations, SNVs, and CNVs. The predicted clinical outcomes for the molecular subtypes were further validated in an independent SMM cohort of 74 patients. Results: We identified six genomic subtypes, four with hyperdiploidy (&gt;48 chromosomes, HMC, HKR, HNT, HNF) and two with IgH translocations (FMD, CND) (Table 1). In multivariate analysis accounting for IMWG (20-2-20) clinical risk stages, high-risk (HMC, FMD, HKR) and intermediate-risk (HNT, HNF) genetic subtypes were independent predictors of progression (Hazards ratio [HR]: 3.8 and 5.5, P = 0.016 and 0.001, respectively). The low-risk, CND subtype harboring translocation (11;14) was enriched for the previously defined CD-2 MM signature defined by the B cell markers CD20 and CD79A (FDR = 0.003 ), showed upregulation of CCND1, E2F1, and E2F7 (FDR = 0.01, 0.0004, 0.08), and was enriched for G2M checkpoint, heme metabolism, and monocyte cell signature (FDR = 0.003, 0.003, 0.003, respectively). The FMD subtype with IgH translocations (4;14) and (14;16) was enriched for P53, mTORC1, unfolded protein signaling pathways and plasmacytoid dendritic cell signatures (FDR = 0.01, 0.005, 0.008, respectively). The HKR tumors were enriched for inflammatory cytokine signaling, MYC target genes, T regulatory cell signature, and the MM proliferative (PR) signatures (FDR = 0.02, 0.03, 0.007, 0.02, respectively). The APOBEC mutational signature was enriched in HMC and FMD tumors (P = 0.005), while there was no statistical difference across subtypes in the AID signature. The median follow-up for the primary cohort is 7.1 years. Median TTP for patients in HMC, FMD, and HKR was 3.8, 2.6, and 2.2 years, respectively; TTP for HNT and HNF was 4.3 and 5.2, respectively, while it was 11 years in CND patients (P = 0.007). Moreover, by analyzing the changes in MM clinical biomarkers over time, we found that patients from high-risk subgroups had higher odds of developing evolving hemoglobin and monoclonal protein levels over time (P = 0.01 and 0.002, respectively); Moreover, the absolute increase in M-protein was significantly higher in patients from the high-risk genetic subtypes at one, two, and five years from diagnosis (P = 0.001, 0.03, and 0,01, respectively). Applying the classifier to the external cohort replicated our findings where intermediate and high-risk genetic subgroups conferred increased risk of progression to MM in multivariate analysis after accounting for IMWG staging (HR: 5.5 and 9.8, P = 0.04 and 0.005, respectively). Interestingly, within the intermediate-risk clinical group in the primary cohort, patients in the high-risk genetic subgroups had increased risk of progression (HR: 5.2, 95% CI 1.5 - 17.3, P = 0.007). In the validation cohort, these patients also had an increased risk of progression to MM (HR: 6.7, 95% CI 1.2 - 38.3, P = 0.03), indicating that molecular classification improves the clinical risk-stratification models. Conclusion: We identified and validated in an independent dataset six SMM molecular subgroups with distinct DNA alterations, transcriptional profiles, dysregulated pathways, and risks of progression to active MM. Our results underscore the importance of molecular classification in addition to clinical evaluation in better identifying high-risk SMM patients. Moreover, these subgroups may be used to identify tumor vulnerabilities and target them with precision medicine efforts. Figure 1 Figure 1. Disclosures Bustoros: Janssen, Bristol Myers Squibb: Honoraria, Speakers Bureau; Takeda: Consultancy, Honoraria. Casneuf: Janssen: Current Employment. Kastritis: Amgen: Consultancy, Honoraria, Research Funding; Takeda: Honoraria; Pfizer: Consultancy, Honoraria, Research Funding; Genesis Pharma: Honoraria; Janssen: Consultancy, Honoraria, Research Funding. Walker: Bristol Myers Squibb: Research Funding; Sanofi: Speakers Bureau. Davies: Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; BMS: Consultancy, Honoraria; Roche: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Dimopoulos: Amgen: Honoraria; BMS: Honoraria; Takeda: Honoraria; Beigene: Honoraria; Janssen: Honoraria. Bergsagel: Genetech: Consultancy, Honoraria; Oncopeptides: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Patents & Royalties: human CRBN mouse; GSK: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Yong: BMS: Research Funding; Autolus: Research Funding; Takeda: Honoraria; Janssen: Honoraria, Research Funding; Sanofi: Honoraria, Research Funding; GSK: Honoraria; Amgen: Honoraria. Morgan: BMS: Membership on an entity's Board of Directors or advisory committees; Jansen: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees. 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.

scholarly journals EARLY Results of TOTAL Therapy 7 (TT7): High Response Rates of NEWLY Diagnosed High Risk Myeloma to Daratumumab

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4569-4569 ◽  
Author(s):  
Frits van Rhee ◽  
Sharmilan Thanendrarajan ◽  
Carolina D. Schinke ◽  
Jeffery R. Sawyer ◽  
Adam Rosenthal ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Response Rates ◽  
Newly Diagnosed ◽  
Advisory Committees ◽  
Early Results ◽  
Research Grant

Background. The TT approach has significantly improved the outcome of multiple myeloma (MM) by combining new drugs with a regimen that comprises induction, tandem autologous stem cell transplantation (ASCT), consolidation and maintenance. However, a group of 15% of patients with high risk multiple myeloma (HRMM) have derived little benefit despite similar response rates to induction chemotherapy and ASCT when compared to low risk MM. The poor outcome of HRMM is explained by early relapse post ASCT resulting in a short progression free survival (PFS) with only 15-20% of patients surviving long-term. Daratumumab (Dara) is a human IgG1k anti-CD38 monoclonal antibody that has shown favorable results in early single-arm studies and more recently in phase III studies for relapsed/refractory and newly diagnosed MM. In TT7, we introduced Dara during all phases of therapy, including immune consolidation early post ASCT, to improve responses rate and PFS in HRMM. Methods. Patients had newly diagnosed HRMM as defined by high risk cytogenetic abnormalities, presence of extramedullary disease, >3 focal lesions on CT-PET, elevated LDH due to MM, or ISS II/III with cytogenetic abnormality. Dara (16mg/kgx1) was added to induction with KTD-PACE (carfilzomib, thalidomide, dexamethasone; and four-day continuous infusions of cisplatin, doxorubicin, cyclophosphamide, etoposide). Conditioning for tandem autologous stem cell transplantation (ASCT) was with fractionated melphalan (50mg/m2x4) (fMEL) based on prior observations that patients with adverse cytogenetics fare better with fMEL rather than single high dose MEL200mg/m2.In the inter tandem ASCT period immunological consolidation with Dara (16mg/kg) alone for 2 doses was followed by Dara (16mg/kg) on day 1 combined with K (36mg/m2) and D (20mg) weekly for 2 cycles. DaraKD was administered to avoid treatment free periods allowing for myeloma regrowth. The 2nd ASCT was followed by further immunological consolidation with Dara (16mg/k) for 2 doses, and maintenance therapy for 3 yrs with 3-months block of alternating Dara-KD (dara 16mg/kg day 1; K 36mg/m2 and dex 20mg weekly) and Dara-lenalidomide (R)D (dara 16mg/kg day 1; R 15mg day 1-21 q28 and D 20mg weekly). Results. TT7 enrolled 43 patients thus far. The median follow-up was 11 months (range: 1-22). The median age was 61 yrs (range 44-73). Sixteen patients were ≥65 yrs (37.2%). A mean of 29.4x106 CD34+ cells/kg (range: 4.6-86.4) were collected. 36 patients completed ASCT #1 (83.7%) and 18 (41.9%) ASCT #2, whilst 14 patients have proceeded to the maintenance phase. R-ISS II/III or metaphase cytogenetic abnormalities were present in 85.1 and 58.1% of patients, respectively. Elevated LDH or >3FL on CT-PET were noted in 30 and 41.8%. The 1-yr cumulative incidence estimates for reaching VGPR and PR were 87 and 83%, respectively. A CR or sCR was achieved in 68 and 46%. The 1-yr estimates of PFS and OS were 91.6 and 87.2%. 40 subjects are alive, whilst 5 progressed on study therapy and 3 subsequently died. 38 patients are progression free at the time of reporting. Dara was well-tolerated and no subjects discontinued therapy due to dara-related side effects. The CR and sCR rates compared favorably to the predecessor HRMM TT5 protocol where CR and sCR rates were 59 and 27%. Conclusion. The early results of TT7 point to increased response rates of HRMM to a dara-based TT regimen with especially higher rates of CR and sCR. Longer follow-up is required to determine if these early results translate into superior PFS and OS. Figure Disclosures van Rhee: Karyopharm Therapeutics: Consultancy; Kite Pharma: Consultancy; Adicet Bio: Consultancy; Takeda: Consultancy; Sanofi Genzyme: Consultancy; Castleman Disease Collaborative Network: Consultancy; EUSA: Consultancy. Walker:Celgene: Research Funding. Morgan:Amgen, Roche, Abbvie, Takeda, Celgene, Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Other: research grant, Research Funding. Davies:Amgen, Celgene, Janssen, Oncopeptides, Roche, Takeda: Membership on an entity's Board of Directors or advisory committees, Other: Consultant/Advisor; Janssen, Celgene: Other: Research Grant, Research Funding.

scholarly journals Descriptive Analysis of Isatuximab Use Following Prior Daratumumab in Patients with Relapsed/Refractory Multiple Myeloma

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 20-21
Author(s):  
Melody R Becnel ◽  
Sandra B. Horowitz ◽  
Sheeba K. Thomas ◽  
Swami P. Iyer ◽  
Krina K. Patel ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
North America ◽  
Board Of Directors ◽  
Research Funding ◽  
Plasma Cells ◽  
Laboratory Research ◽  
Private Company ◽  
Advisory Committees ◽  
Advisory Boards

Background: Anti-CD38 monoclonal antibodies (mAb) like daratumumab (dara) have become integral in managing relapsed/refractory (RR) and newly diagnosed (ND) multiple myeloma (MM). Isatuximab (isa), a newer CD38 mAb, induces direct rather than indirect apoptosis of MM cells. However, little is known about whether the use of one prior CD38 mAb will alter the efficacy of another in subsequent lines of therapy. Methods: All patients (pts) with MM treated at MD Anderson with isa after receiving dara in prior lines of therapy were identified. We conducted a retrospective analysis with data points including patient and disease characteristics, responses to dara, response to isa, the presence of high risk features, and the presence of t(11,14). Results: 9 pts were identified, ages 56-72. 5 pts (55%) were male. 5 pts (55%) were alive at the time of data cutoff. 5 pts were Hispanic, 3 White, and 1 Black. 8 pts (89%) had high risk features as represented by the presence of del17p, t(4,14), t(14,16), t(14,20), p53 mutations, gain 1q, extramedullary disease (EMD), CNS disease, early relapse (within 1 year) after autologous transplant, or an increased (&gt;5%) peripheral blood plasma cells (PBPC). 2 (22%) had t(11,14). 4 (44%) had IgG MM. 2 (22%) with light chain disease, 2 (22%) with IgA MM, and 1 (11%) with IgD MM. Dara was initially used in lines 2-7. Dara combinations with pomalidomide (pom), bortezomib (bor), thalidomide (thal), lenalidomide (len), or carfilzomib (car); and pom combinations that also included elotuzumab (elo) or Cytoxan (cytox) are noted in table 1. Dara was discontinued (dc'd) in 8 pts due to progressive disease (PD) and in 1 pt due to toxicity. 8 pts (89%) experienced a best overall response (ORR) of partial response (PR) to dara; 1 pt had stable disease (SD). All pts received prior len and 8 pts received prior pom at some time during the treatment of MM. All pts received isa in combination with pom/dexamethasone (dex). Best ORR to isa/pom/dex: 5 pt (55%) had PR, 2 pt with minimal response (MR), 1 SD, 1 PD. Median treatment duration of isa/pom/dex was 5 weeks (2-14 weeks) at data cutoff. 3 pts dc'd isa/pom/dex due to infections, and 2 due to later progression. 2 pts remain on therapy. 1 pt chose to dc all MM therapy for quality of life purposes despite PR with isa/pom/dex. 1 pt died from cardiac disease unrelated to MM or treatment. Conclusions: Our current study of heavily pretreated pts with RRMM demonstrates that despite prior anti-CD38 therapy with dara, most patients (77%) experienced a response of MR or better with treatment with another anti-CD38 therapy isa. To our knowledge, this is the first report of outcomes to isa in patients with prior dara therapy. Further long term follow up will be needed to determine the length of response. Additional studies are planned to further evaluate this patient population. Table 1 Disclosures Thomas: Pharmacyclics: Other: Advisory Boards; BMS: Research Funding; Ascentage: Membership on an entity's Board of Directors or advisory committees, Research Funding; X4 Pharma: Research Funding; Xencor: Research Funding; Genentech: Research Funding. Iyer:Rhizen: Research Funding; CRISPR: Research Funding; Spectrum: Research Funding; Merck: Research Funding; Curio Biosciences: Honoraria; Target Oncology: Honoraria; Afffimed: Research Funding; Daiichi Sankyo: Consultancy; Legend Biotech: Consultancy; Trillium: Research Funding; Seattle Genetics, Inc.: Research Funding. Patel:Celgene: Consultancy, Research Funding; Cellectis: Research Funding; Nektar: Consultancy, Research Funding; Oncopeptides: Consultancy; Poseida: Research Funding; Precision Biosciences: Research Funding; Takeda: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy, Research Funding. Manasanch:Adaptive Biotechnologies: Honoraria; GSK: Honoraria; Sanofi: Honoraria; BMS: Honoraria; Takeda: Honoraria; Quest Diagnostics: Research Funding; Merck: Research Funding; JW Pharma: Research Funding; Novartis: Research Funding; Sanofi: Research Funding. Kaufman:Janssen: Research Funding; Bristol Myers Squibb: Research Funding; Karyopharm: Honoraria. Lee:Genentech: Consultancy; GlaxoSmithKline: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Sanofi: Consultancy; Daiichi Sankyo: Research Funding; Regeneron: Research Funding; Genentech: Consultancy. Orlowski:Sanofi-Aventis, Servier, Takeda Pharmaceuticals North America, Inc.: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen, Inc., AstraZeneca, BMS, Celgene, EcoR1 Capital LLC, Forma Therapeutics, Genzyme, GSK Biologicals, Ionis Pharmaceuticals, Inc., Janssen Biotech, Juno Therapeutics, Kite Pharma, Legend Biotech USA, Molecular Partners, Regeneron Pharmaceuticals, Inc.,: Honoraria, Membership on an entity's Board of Directors or advisory committees; STATinMED Research: Consultancy; Founder of Asylia Therapeutics, Inc., with associated patents and an equity interest, though this technology does not bear on the current submission.: Current equity holder in private company, Patents & Royalties; Laboratory research funding from BioTheryX, and clinical research funding from CARsgen Therapeutics, Celgene, Exelixis, Janssen Biotech, Sanofi-Aventis, Takeda Pharmaceuticals North America, Inc.: Research Funding.

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