Preliminary results from phase 2 of CC-92480- MM- 001: Mezigdomide plus dexamethasone in relapsed/refractory multiple myeloma (RRMM)

In phase 1 of CC-92480- MM- 001 (NCT03374085), the recommended phase 2 dose (RP2D) of mezigdomide plus dexamethasone (MEZI-d) was selected at 1 mg once daily for 21/28 days. Here we report preliminary results from the MEZI-d dose-expansion cohort in patients with heavily pretreated RRMM. Key eligibility criteria were: RRMM;>=3 prior lines of therapy;disease progression <=60 days of last myeloma therapy;refractoriness to lenalidomide/pomalidomide, a proteasome inhibitor, a glucocorticoid, and an anti-CD38 monoclonal antibody. Oral mezigdomide 1 mg was given on days 1-21 of each 28-day cycle, plus weekly dexamethasone (40 mg;20 mg if >75 years of age). Primary objective was to evaluate efficacy (overall response rate [ORR]);secondary objectives included safety/tolerability and additional efficacy assessments. Pharmacodynamics was an exploratory objective. As of 16/Sep/2022, 101 patients had received MEZI-d at the RP2D. Median age was 67 (range 42-85) years, median time since initial diagnosis was 7.4 (1.1-37.0) years;39.6% of patients had plasmacytomas and 37/101 patients had high-risk cytogenetics (56/101 not evaluable). Median number of prior regimens was 6 (3-15);prior therapies included stem cell transplantation (77.2%) and anti-BCMA therapy (29.7%). All patients were refractory to last myeloma regimen and triple-class refractory. Median follow-up was 7.5 (0.5-21.9) months, with a median of 4 (1-20) cycles;10.0% of patients continued treatment;progressive disease was the main reason for discontinuation (60.4%). ORR was 40.6% for all patients. Whilst data are not mature yet, median PFS was 4.4 (95% CI 3.0-5.5) months and median duration of response was 7.6 (95% CI 5.4-9.5) months. ORR was 30.0% in patients with plasmacytomas (N = 40) and 50.0% in patients with prior anti-BCMA therapy (N = 30). Ninety-one (91.1%) patients experienced a grade 3/4 treatment-emergent adverse event (TEAE). Most frequent hematologic grade 3/4 TEAEs were neutropenia (75.2%), anaemia (35.6%), and thrombocytopenia (27.7%);34.7% of patients had grade 3/4 infections, including grade 3/4 pneumonia (15.8%) and COVID-19 (7.0%). Occurrence of other grade 3/4 non-hematologic TEAEs was generally low. Due to TEAEs, 76.2% and 29.7% of patients had mezigdomide dose interruptions and reductions, respectively;90.1% of patients discontinued mezigdomide. Mezigdomide induced substrate degradation and increases in activated and proliferating T cells in patients, including those directly refractory to pomalidomide-based therapies. MEZI-d had a manageable safety profile with encouraging efficacy in patients with triple-class refractory RRMM, including patients with prior BCMA-targeted therapies. These results strongly support the continued development of mezigdomide in MM, and especially in combination.

Cilta-Cel Efficacy and Safety in Patients with Progressive Multiple Myeloma after Exposure to Non-Cellular Anti-BCMA Immunotherapy

Introduction: CARTITUDE-2 (NCT04133636) is a phase 2, multicohort study evaluating cilta-cel, an anti-BCMA CAR-T therapy, in several multiple myeloma (MM) patient (pt) populations. Objective(s): To report updated results with longer follow-up on cohort C pts with previous exposure to a non-cellular anti- BCMA immunotherapy. Method(s): Cohort C pts had progressive MM after treatment (tx) with a proteasome inhibitor, immunomodulatory drug, anti-CD38 antibody, and non-cellular BCMA-targeting agent. A single cilta-cel infusion (target dose 0.75x106 CAR+ viable T cells/kg) was administered 5-7 days post lymphodepletion. Primary endpoint was minimal residual disease (MRD) negativity at 10-5. Secondary endpoints included overall response rate (ORR), duration of response (DOR), and adverse events (AEs). Result(s): As of June 1, 2022, 20 pts (13 ADC exposed;7 BsAb exposed) were treated with cilta-cel;4 pts did not receive cilta-cel due to either low cellular yield (n=2, 1 in each group) or death due to progressive disease (PD) prior to dosing (n=2, 1 in each group) and 6 pts received anti-BCMA tx as their last line of therapy (n=4 ADC, n=2 BsAb). During prior anti-BCMA tx, best responses included VGPR (ADC: 2 pts;BsAb: 1 pt), sCR (ADC: 1 pt), and CR (BsAb: 1 pt);the rest had best response of stable disease or PD (1 pt not evaluable). Baseline characteristics are presented in Figure 1A. Median time from last anti- BCMA agent to cilta-cel infusion was 195 d;median administered dose of cilta-cel was 0.65x106 CAR+ viable T cells/kg. At a median follow-up of 18.0 mo, 7/10 evaluable pts (70%) were MRD negative at 10-5 (ADC: 5/7 [71.4%], BsAb: 2/3 [66.7%]). ORR: full cohort, 60%;ADC, 61.5%;BsAb, 57.1% (Figure 1B). Median DOR: full cohort, 12.8 mo;ADC, 12.8 mo;BsAb, 8.2 mo. Median PFS: full cohort, 9.1 mo;ADC, 9.5 mo;BsAb, 5.3 mo. Cilta-cel responders had a shorter median duration of last anti- BCMA agent exposure (29.5 d) compared with non-responders (63.5 d). Responders also had a longer median time from last anti-BCMA tx exposure to apheresis (161.0 d) than non-responders (56.5 d). Most common AEs were hematologic. CRS: n=12 (60%;all Gr1/2), median time to onset 7.5 d, median duration 6.0 d. ICANS: n=4 (20%, 2 Gr3/4), median time to onset 9.0 d, median duration 7.0 d. No patient had movement or neurocognitive tx emergent AE/parkinsonism. There were 12 deaths (PD: 8;COVID-19 pneumonia: 2 [not tx related];subarachnoid hemorrhage: 1 [not tx related];C. difficile colitis: 1 [tx related]). (Figure Presented)(Figure Presented)Conclusions: Pts with heavily pretreated MM and previous exposure to a non-cellular anti-BCMA therapy had favorable responses to cilta-cel. However, depth and DOR appear lower than that seen in anti-BCMA-naive pts treated with cilta-cel (at 27.7 mo, median DOR was not reached in heavily pre-treated but anti-BCMA naive CARTITUDE-1 pts). These data may inform tx plans, including sequencing and washout period between BCMA-targeting agentsCopyright © 2023 American Society for Transplantation and Cellular Therapy

Severity of Covid-19 Clinical Outcomes and Mortality in Multiple Myeloma Patients over Year 1 of the Pandemic

Introduction In the first weeks of the Covid-19 pandemic when healthcare systems in many areas were overstretched, we documented that hospital mortality in multiple myeloma (MM) patients infected by Sars-Cov-2 was 50% higher than in age matched Covid-19 patients without cancer. In the following months, the pressure on healthcare systems in Spain continued although it did not reach the extreme levels of the first weeks of the pandemic. In this study, we proposed to determine if the severity of Covid-19 outcomes in MM patients has changed over the first year of the pandemic. Patients and methods The Spanish MM Collaborative Group (Pethema-GEM) conducted a survey at national level on plasma cell disorder patients infected by SARS-Cov-2 between March 2020 and February 2021. Sixty-six (69%) out of 96 contacted healthcare centers, from all 17 regions in Spain, reported 502 patients. Data on Covid-19 acute and post-acute phase outcomes (hospitalization, oxygen requirements, severity of symptoms and mortality) were reported first in May 2020 (Martinez-Lopez et al, BCJ 2021) and updated in February 2021. In this study, we compared outcome occurrence between two study periods: P1, a period of extreme stress for the healthcare system in Spain, from March to mid-June 2020;and a second period, P2, up to mid-February 2021 with a sustained but lower burden on the national health care system. Results Among the 451 patients with plasma cell disorders and a Sars-Cov-2 infection documented with an rRT-PCR positive test, 377 (84%) were MM patients, 15 SMM (3%), 40 MGUS (9%) and 19 amyloidosis (4%). The number of MM weekly reported cases was 57% (95%CI, 48-65) lower in P2 (188 cases in 35 weeks) compared to P1 (189 cases in 15 weeks), p<0.001. The mean (SD) age and the proportion of men did not differ between P1 and P2, respectively 69.8 (10.9) vs 68.6 (11.0) years, p=0.6, and 53.3% vs 59.6%, p=0.2. MM patients with active or progressive disease at time of Covid-19 diagnosis were 24% in P1 and 34% in P2, p=0.05;patients on active treatment were more frequent in P1, 89%, than in P2, 79%, p=0.01. MM treatment was withheld in 78% and 82% of patients, p=0.4. Covid-19 treatment changed over time: MM inpatients received more remdesivir and corticoids in the second period (3% vs 31% p<0.001, and 49% vs 73%, p<0.001, respectively). In P1, 90% of the reported MM patients were hospitalized compared to 71% in P2, p<0.001. Thirty-one and 41% of patients did not require oxygen support during P1 and P2, respectively;non-invasive ventilation in 19% and 14%, and mechanical ventilation in 7% and 8%, p=0.12. Overall, acute clinical Covid-19 severity was reduced from P1 to P2: 75% to 51%, p<0.001: moderate/severe pneumonia was reduced from 68% to 36%, p<0.001 but severe distress syndrome increased from 7% to 15%, p=0.03. However, mortality in all reported patients was 30.7% in P1 vs 26.1% in P2, p=0.3;and no differences in mortality were observed in hospitalized patients, 32.2% in P1 and 35.3% in P2, p=0.6. We performed a multivariable adjustment with the predictors identified in our previous study (BCJ 2021) and confirmed that inpatient mortality was similar in both study periods, odds ratio (OR) 0.99 (95%CI 0.59-1.66). Independently of the study period, an increased mortality was observed in men (OR 1.81, 1.08-3.05), patients over 65 (OR 2.40, 1.33-4.36), and patients with active or progressive disease (OR 2.12, 1.24-3.62). The severity of Covid-19 clinical outcomes -besides mortality, was associated with increased age but not with active or progressive disease. Conclusions Although COVID-19 clinical severity has decreased over the first year of the pandemic in multiple myeloma patients, mortality remains high with no change between the initial weeks of the pandemic and the following months. Prevention and vaccination strategies should be strengthened in this vulnerable population, particularly in patients with active or progressive disease at time of Covid-19 diagnosis. Disclosures: Martínez-López: Janssen, BMS, Novartis, Incyte, Roche, GSK, Pfi er: Consultancy;Roche, Novartis, Incyte, Astellas, BMS: Research Funding. Mateos: Oncopeptides: Honoraria, Membership on an entity's Board of Directors or advisory committees;Regeneron: Honoraria, Membership on an entity's Board of Directors or advisory committees;Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees;Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees;Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees;Adaptive Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees;Sea-Gen: Honoraria, Membership on an entity's Board of Directors or advisory committees;AbbVie: Honoraria;Sanofi: 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;Celgene - Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees;Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees;Bluebird bio: Honoraria;GSK: Honoraria;Oncopeptides: Honoraria. López-Muñoz: Amgen: Consultancy. Sureda: GSK: Consultancy, Honoraria, Speakers Bureau;Sanofi: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau;Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau;Roche: Other: Support for attending meetings and/or travel;Mundipharma: Consultancy;Bluebird: Membership on an entity's Board of Directors or advisory committees;Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau;Kite, a Gilead Company: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau;Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau;MSD: Consultancy, Honoraria, Speakers Bureau;BMS/Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Support for attending meetings and/or travel, Speakers Bureau;Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Support for attending meetings and/or travel, Research Funding, Speakers Bureau. Rosinol: Janssen, Celgene, Amgen and Takeda: Honoraria. Lahuerta: Celgene, Takeda, Amgen, Janssen and Sanofi: Consultancy;Celgene: Other: Travel accomodations and expenses. San-Miguel: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, GlaxoSmithKline, Janssen, Karyopharm, Merck Sharpe & Dohme, Novartis, Regeneron, Roche, Sanofi, SecuraBio, Takeda: Consultancy, Other: Advisory board.

Updated Phase 1 Results from MonumenTAL-1: First-in-Human Study of Talquetamab, a G Protein-Coupled Receptor Family C Group 5 Member D x CD3 Bispecific Antibody, in Patients with Relapsed/Refractory Multiple Myeloma

Introduction: Despite recent advances in treatment, patients with multiple myeloma (MM) continue to relapse. G protein-coupled receptor family C group 5 member D (GPRC5D) is a promising target for immunotherapy in patients with MM due to its high expression in malignant plasma cells and limited expression in normal human tissue;unlike other antigens targeted by MM therapies, there is no indication that GPRC5D sheds into the periphery. Talquetamab (JNJ-64407564) is a first-in-class bispecific IgG4 antibody that redirects T cells to kill MM cells by binding to both GPRC5D and CD3 receptors. Here we report updated and new results of talquetamab at the recommended phase 2 doses (RP2Ds) from a phase 1 trial in relapsed/refractory MM (RRMM;NCT03399799). Methods: Eligible patients with MM had relapsed or refractory disease or were intolerant to standard therapies;patients previously treated with B-cell maturation antigen (BCMA)-directed therapies were eligible. This analysis focuses on patients who received talquetamab subcutaneously (SC;range 5.0-800 µg/kg) weekly or biweekly. Step-up dosing was used as a patient management strategy to minimize the severity of cytokine release syndrome (CRS). The primary objectives were to identify the RP2D (part 1) and assess talquetamab safety and tolerability at the RP2Ds (part 2). Adverse events (AEs) were graded by CTCAE v4.03 with CRS events graded per Lee et al 2014 criteria. Responses were investigator-assessed per International Myeloma Working Group criteria. Results: As of July 19, 2021, 95 patients have received SC talquetamab. The RP2D was originally identified as a weekly SC dose of 405 µg/kg talquetamab with step-up doses. However, alternative dosing schedules that require less frequent administration continue to be investigated. A biweekly RP2D was also identified as an SC dose of 800 µg/kg talquetamab with step-up doses. 30 patients received the 405 µg/kg weekly dosing schedule (median age: 61.5 years [range 46-80];63% male;100% triple-class exposed;80% penta-drug exposed;77% triple-class refractory, 20% penta-drug refractory;30% prior BCMA-directed therapy;median follow-up: 7.5 mo [range 0.9-15.2]). 23 patients received the 800 µg/kg biweekly dosing schedule (median age: 60.0 years [range 47-84];48% male;96% triple-class exposed;70% penta-drug exposed;65% triple-class refractory, 22% penta-drug refractory;17% prior BCMA-directed therapy;median follow-up 3.7 mo [range 0.0-12.0]). There were no treatment discontinuations due to AEs at either of the RP2Ds. The most common AEs at the 405 µg/kg weekly dose were CRS (73%;1 patient had grade 3 CRS), neutropenia (67%;grade 3/4: 60%), and dysgeusia (60%;grade 2: 29%);skin-related AEs occurred in 77% (all grade 1/2;nail disorders: 30%) of patients, and infections occurred in 37% of patients (1 patient had grade 3 COVID-19 pneumonia). The most common AEs at the 800 µg/kg biweekly dose were CRS (78%;all grade 1/2), dry mouth (44%;all grade 1/2), and neutropenia (44%;grade 3/4: 35%);skin-related AEs occurred in 65% of patients (grade 3: 13%;nail disorders: 17%) and infections occurred in 13% of patients (1 patient had grade 3 pneumococcal sepsis). In 30 response-evaluable patients treated with the 405 µg/kg weekly dose, the overall response rate (ORR) was 70% (very good partial response or better [≥VGPR] rate: 57%). In 17 response-evaluable patients treated with the 800 µg/kg biweekly dose, the ORR was 71% (≥VGPR rate: 53%). Responses were durable and deepened over time in both cohorts (Figure). Median duration of response (DOR) was not reached at either RP2D;the 6-month DOR rate for patients who received the 405 µg/kg weekly dose was 67% [95% CI: 41-84]. Serum trough levels of talquetamab were comparable at both RP2Ds. Consistent with the mechanism of action for talquetamab, pharmacodynamic data from cohorts treated at both dose levels showed peripheral T-cell activation and induction of cytokines. Conclusions: These findings indicate that SC talquetamab is well tolerated and highly effective at both RP2Ds. Preliminary data from the 800 µg/kg biweekly cohorts indicate that less frequent, higher doses of SC talquetamab do not have a negative impact on the previously described safety profile. Further investigation of talquetamab as monotherapy (phase 2;NCT04634552) and in combination with other therapies in patients with RRMM is underway. [Formula presented] Disclosures: Krishnan: MAGENTA: Consultancy;BMS: Consultancy, Current equity holder in publicly-traded company, Speakers Bureau;JANSSEN: Consultancy, Research Funding;City of Hope Cancer Center: Current Employment;REGENERON: Consultancy;SANOFI: Consultancy;GSK: Consultancy;Amgen: Speakers Bureau. Minnema: Celgene: Other: Travel expenses;Alnylam: Consultancy;Cilag: Consultancy;BMS: Consultancy;Janssen: Consultancy;Kite/Gilead: Consultancy. Berdeja: Lilly, Novartis: Research Funding;Abbvie, Acetylon, Amgen: Research Funding;Celularity, CRISPR Therapeutics: Research Funding;EMD Sorono, Genentech: Research Funding;Poseida, Sanofi, Teva: Research Funding;Bluebird bio, BMS, Celgene, CRISPR Therapeutics, Janssen, Kite Pharma, Legend Biotech, SecuraBio, Takeda: Consultancy;GSK, Ichnos Sciences, Incyte: Research Funding. Oriol: Sanofi: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees;Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees;Oncopeptides: Consultancy, Membership on an entity's Board of Directors or advisory committees;GSK: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees;BMS/Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees;Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. van de Donk: Roche: Consultancy;Takeda: Consultancy;Cellectis: Research Funding;Amgen: Consultancy, Research Funding;Janssen: Consultancy, Research Funding;BMS/Celgene: Consultancy, Honoraria;Novartis /bayer/servier: Consultancy. Rodriguez-Otero: Clínica Universidad de Navarra: Current Employment;Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees;Celgene-BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees;GSK: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees;Pfizer: Consultancy;Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees;Kite: Honoraria, Membership on an entity's Board of Directors or advisory committees;Amgen: Honoraria;Regeneron: Honoraria. Askari: Janssen: Research Funding. Mateos: Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees;Sea-Gen: Honoraria, Membership on an entity's Board of Directors or advisory committees;Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees;Regeneron: Honoraria, Membership on an entity's Board of Directors or advisory committees;Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees;Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees;Celgene - Bristol Myers Squibb: 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 Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees;Oncopeptides: Honoraria;Bluebird bio: Honoraria;AbbVie: Honoraria;GSK: Honoraria;Oncopeptides: Honoraria, Membership on an entity's Board of Directors or advisory committees;Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees. Costa: BMS: Consultancy, Honoraria, Research Funding;Janssen: Consultancy, Honoraria, Research Funding;Amgen: Consultancy, Honoraria, Research Funding, Speakers Bureau;Karyopharm: Consultancy, Honoraria;Pfizer: Consultancy, Honoraria;Sanofi: Consultancy, Honoraria, Speakers Burea . Verona: Janssen: Current Employment. Ma: Janssen: Current Employment, Current holder of individual stocks in a privately-held company. Girgis: Janssen: Current Employment, Current holder of individual stocks in a privately-held company. Yang: Janssen: Current Employment. Hilder: Janssen: Current Employment, Current holder of individual stocks in a privately-held company. Russell: Janssen: Ended employment in the past 24 months. Goldberg: Janssen: Current Employment, Current holder of individual stocks in a privately-held company. Chari: Shattuck Labs: Consultancy, Membership on an entity's Board of Directors or advisory committees;Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding;Millenium/Takeda: Consultancy, Research Funding;Sanofi Genzyme: Consultancy, Membership on an entity's Board of Directors or advisory committees;Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees;BMS/Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding;Antengene: Consultancy, Membership on an entity's Board of Directors or advisory committees;Takeda: Consultancy, Research Funding;Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding;Pharmacyclics: Research Funding;Secura Bio: Consultancy, Membership on an entity's Board of Directors or advisory committees;Oncopeptides: Consultancy, Membership on an entity's Board of Directors or advisory committees;AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees;GlaxoSmithKline: Consultancy, Membership on an entity's Board of Directors or advisory committees;Novartis: Consultancy, Research Funding;Genentech: Consultancy, Membership on an entity's Board of Directors or advisorycommittees;Janssen Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding.

P-137: ITHACA, a randomized multicenter phase 3 study of Isatuximab in combination with Lenalidomide and Dexamethasone in high-risk smoldering Multiple Myeloma: safety run-in preliminary results

Background: High-risk smoldering multiple myeloma (HR-SMM) is associated with a greater risk of progression to symptomatic disease, suggesting the need for early, efficacious therapeutic interventions to improve outcomes. The ongoing, randomized Phase 3 ITHACA study (NCT04270409) is evaluating efficacy and safety of the anti-CD38 monoclonal antibody isatuximab (Isa) in combination with lenalidomide (R) and dexamethasone (d) (Isa-Rd) vs Rd in patients (pts) with HR-SMM. We report here preliminary results from the safety run-in part of this trial. Methods: The primary objective was to confirm the recommended dose of Isa in combination with Rd. Pts were eligible if diagnosed with SMM within 5 years and HR-SMM defined by the Mayo ‘20-2-20’ and/or updated PETHEMA model criteria. Minimal residual disease and imaging by MRI and low-dose whole-body CT/PET-CT will be assessed at fixed time points. Results: As of April 12, 2021, 23 pts (median age, 63 [28–85] years;median time from initial diagnosis, 1.14 [0.1–5.2] years) had received Isa 10 mg/kg once weekly then biweekly (QW-Q2W) in combination with Rd. The median number of cycles was 7 (range, 4–10) and median duration of treatment exposure was 29.7 (range, 16.0–38.0) weeks. Two pts met the Mayo clinical model criteria, 13 pts the PETHEMA model criteria, and 8 pts both models’ criteria for HR-SMM. No pt presented with focal lesions at baseline. Seven (30.4%) pts developed 8 grade ≥3 non-hematologic treatment-emergent adverse events (TEAEs): COVID-19 pneumonia, insomnia (2 each), papular rash, muscle spasm, retinal detachment and hyperglycemia (1 each);no pt experienced a grade 5 TEAE and no pt discontinued treatment due to a TEAE. Serious TEAEs were COVID-19 pneumonia (n=2, grade ≥3) and pneumonia, musculoskeletal chest pain and pyrexia (n=1 each, grade <3). The most common, mostly grade 1–2 TEAEs were insomnia (39%) and constipation, headache, and peripheral edema (22% each). Infusion reactions were reported in 2 pts (8.7%) (grade 2, infusion day 1/cycle 1). By laboratory results, no grade 3–4 anemia or thrombocytopenia was observed;grade 3 neutropenia was reported in 5 pts (21.7%), with no grade 4. Isa exposure and CD38 receptor occupancy were in accordance with other MM studies, reaching target saturation in bone marrow plasma cells. The overall response rate was 86.9%;21.7%, 17.4%, and 4.3% of pts have so far achieved very good partial response (VGPR), complete response (CR) and stringent CR (sCR), respectively. Conclusions: Addition of Isa 10 mg/kg QW-Q2W to Rd was associated with a favorable safety profile in pts with HR-SMM, which compares well with Rd literature data in the same patient population. Isa-Rd has shown encouraging preliminary efficacy (21.7% sCR/CR and 43.4% ≥VGPR rates) in pts with HR-SMM. These results confirm the recommended dose of Isa for the randomized part of the Phase 3 ITHACA study, which will further evaluate efficacy and safety of Isa-Rd in HR-SMM. Funding: Sanofi.

Carfilzomib, Dexamethasone, and Daratumumab Versus Carfilzomib and Dexamethasone in Relapsed or Refractory Multiple Myeloma: Updated Efficacy and Safety Results of the Phase 3 Candor Study

Introduction: The randomized, open-label, multicenter, phase 3 CANDOR study compared carfilzomib, dexamethasone, and daratumumab (KdD) to carfilzomib and dexamethasone (Kd) in patients with multiple myeloma who have relapsed after 1-3 prior lines of therapy (ClinicalTrials.gov, NCT03158688). In the previously reported primary analysis (Dimopoulos et al, Lancet 2020), a significant progression-free survival (PFS) benefit was demonstrated in patients treated with KdD vs patients treated with Kd (hazard ratio [HR], 0.63 [95% CI, 0.46-0.85];two-sided P=0.0027). However, after a median follow-up of 16.9 months, median PFS was not reached in the KdD arm. Here, we report updated efficacy and safety outcomes from the CANDOR study. Methods: Adult patients with relapsed or refractory multiple myeloma (RRMM) received 28-day cycles of KdD or Kd (randomized 2:1). In the primary analysis, PFS was the primary endpoint and overall survival (OS) a key secondary endpoint. In this prespecified interim OS analysis, statistical testing was based on the actual number of OS events observed by the data cutoff (approximately 36 months after enrollment of the first patient);PFS was summarized descriptively. Disease progression was determined locally by investigators in an unblinded manner and centrally by the sponsor using a validated computer algorithm (Onyx Response Computer Algorithm [ORCA]) in a blinded manner. PFS and OS were compared between the KdD and Kd arms using a stratified log-rank test, and HRs were estimated by a stratified Cox proportional-hazards model. Results: Patients were randomized to KdD (n = 312) and Kd (n = 154). Of all randomized patients, median age was approximately 64 years;42% received previous lenalidomide, and 33% were lenalidomide refractory;90% received previous bortezomib, and 29% were bortezomib refractory. At the data cutoff date of June 15, 2020, 199 (63.8%) patients in the KdD arm and 88 (57.1%) in the Kd arm remained on study. Among patients treated with KdD and Kd, 140 (44.9%) and 85 (55.2%) had PFS events, respectively;median follow-up was 27.8 months (KdD) and 27.0 months (Kd). Median PFS by ORCA was 28.6 months for the KdD arm versus 15.2 months for the Kd arm (HR, 0.59 [95% CI, 0.45-0.78];Figure). OS data were not mature and will be updated at a future prespecified analysis. Median treatment duration was 79.3 weeks with KdD versus 40.3 weeks with Kd. Grade ≥3 adverse events (AEs) occurred in 87.0% and 75.8% of patients in the KdD and Kd arms, respectively, and fatal AEs occurred in 8.8% and 4.6%;one fatal AE in the KdD arm (due to arrhythmia) and one fatal AE in the Kd arm (due to COVID-19 pneumonia) had occurred since the primary analysis. Carfilzomib treatment discontinuation rates due to AEs were 26.0% with KdD and 22.2% with Kd. Exposure-adjusted AE rates per 100 patient years were: 171.2 and 151.9 for grade ≥3 AEs and 6.9 and 5.6 for fatal AEs in the KdD and Kd arms, respectively. Updated data by key subgroups will be presented. Conclusion: With approximately 11 months of additional follow-up, a 13.4-month improvement in median PFS was observed in patients treated with KdD (28.6 months) versus patients treated with Kd (15.2 months;HR, 0.59 [95% CI, 0.45-0.78]). Safety was consistent with previously reported results. KdD continues to show a favorable benefit-risk profile and represents an efficacious treatment option for patients with RRMM. [Formula presented] Disclosures: Dimopoulos: Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau;BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees;Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau;Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Research Funding, Speakers Bureau;Celgene: Consultancy, Ho oraria, Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, Speakers Bureau. Quach: GlaxoSmithKline, Karyopharm, Amgen, Celgene, Janssen Cilag: Consultancy;Amgen, Celgene, karyopharm, GSK, Janssen Cilag, Sanofi.: Membership on an entity's Board of Directors or advisory committees;Amgen, sanofi, celgene, Karyopharm, GSK: Research Funding;GlaxoSmithKline, Karyopharm, Amgen, Celgene, Janssen Cilag: Honoraria. Mateos: EDOMundipharma: Consultancy;Adaptive: Consultancy;Pharmamar: Consultancy;GlaxoSmithKline: Consultancy;AbbVie: Consultancy;Takeda: Consultancy;Amgen: Consultancy;Celgene: Consultancy;Janssen: Consultancy. Landgren: Pfizer: Consultancy, Honoraria;Merck: Other;Cellectis: Consultancy, Honoraria;Juno: Consultancy, Honoraria;Glenmark: Consultancy, Honoraria, Research Funding;BMS: Consultancy, Honoraria;Binding Site: Consultancy, Honoraria;Celgene: Consultancy, Honoraria, Research Funding;Pfizer: Consultancy, Honoraria;Karyopharma: Research Funding;Merck: Other;Janssen: Consultancy, Honoraria, Other: Independent Data Monitoring Committees for clinical trials, Research Funding;Takeda: Other: Independent Data Monitoring Committees for clinical trials, Research Funding;Glenmark: Consultancy, Honoraria, Research Funding;Juno: Consultancy, Honoraria;Seattle Genetics: Research Funding;Cellectis: Consultancy, Honoraria;Seattle Genetics: Research Funding;Takeda: Other: Independent Data Monitoring Committees for clinical trials, Research Funding;BMS: Consultancy, Honoraria;Adaptive: Consultancy, Honoraria;Amgen: Consultancy, Honoraria, Research Funding;Celgene: Consultancy, Honoraria, Research Funding;Binding Site: Consultancy, Honoraria;Janssen: Consultancy, Honoraria, Other: Independent Data Monitoring Committees for clinical trials, Research Funding;Karyopharma: Research Funding. Leleu: Incyte: Honoraria;Merck: Honoraria;Novartis: Honoraria;Amgen: Honoraria;GSK: Honoraria;Sanofi: Honoraria;BMS-celgene: Honoraria;Janssen: Honoraria;Oncopeptide: Honoraria;AbbVie: Honoraria;Carsgen: Honoraria;Karyopharm: Honoraria. Siegel: Janssen: Consultancy, Honoraria, Speakers Bureau;Merck: Consultancy, Honoraria, Speakers Bureau;Amgen: Consultancy, Honoraria, Speakers Bureau;Celulatiry: Consultancy;Karyopharma: Consultancy, Honoraria;Takeda: Consultancy, Honoraria, Speakers Bureau;BMS: Consultancy, Honoraria, Speakers Bureau. Weisel: Takeda: Consultancy, Honoraria;Amgen: Consultancy, Honoraria, Research Funding;Karyopharm: Consultancy, Honoraria;Adaptive: Consultancy, Honoraria;Bristol-Myers Squibb: Consultancy, Honoraria;GlaxoSmithKline: Honoraria;Sanofi: Consultancy, Honoraria, Research Funding;Janssen: Consultancy, Honoraria, Research Funding;Celgene: Consultancy, Honoraria, Research Funding;Abbvie: Consultancy, Honoraria;Roche: Consultancy, Honoraria. Gavriatopoulou: Takeda: Consultancy, Honoraria;Janssen: Consultancy, Honoraria;Genesis Pharma: Consultancy, Honoraria;Karyopharm: Consultancy, Honoraria;Amgen: Consultancy, Honoraria. Oriol: Janssen: Consultancy;Celgene: Consultancy, Speakers Bureau;Amgen: Consultancy, Speakers Bureau. Rabin: Janssen, BMS/Celgene, Takeda, Karyopharm, Amgen: Consultancy;Janssen, BMS/Celgene, Takeda: Other: Travel;Jansse, BMS/Celgene, Takeda: Speakers Bureau. Nooka: GlaxoSmithKline: Consultancy, Honoraria, Other: Personal Fees: Travel/accomodations/expenses, Research Funding;Karyopharm Therapeutics, Adaptive technologies: Consultancy, Honoraria, Research Funding;Spectrum Pharmaceuticals: Consultancy;Celgene: Consultancy, Honoraria, Research Funding;Amgen: Consultancy, Honoraria, Research Funding;Oncopeptides: Consultancy, Honoraria;Janssen: Consultancy, Honoraria, Research Funding;Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding;Sanofi: Consultancy, Honoraria;Adaptive Technologies: Consultancy, Honoraria;Takeda: Consultancy, Honoraria, Research Funding. Ding: Amgen: Current Employment. Zahlten-Kumeli: Amgen: Current Employment, Current equity holder in publicly-traded compan . Usmani: Celgene: Other;GSK: Consultancy, Research Funding;Pharmacyclics: Research Funding;Array Biopharma: Research Funding;Seattle Genetics: Consultancy, Research Funding;Merck: Consultancy, Research Funding;Incyte: Research Funding;SkylineDX: Consultancy, Research Funding;Takeda: Consultancy, Honoraria, Other: Speaking Fees, Research Funding;Sanofi: Consultancy, Honoraria, Research Funding;Abbvie: Consultancy;BMS, Celgene: Consultancy, Honoraria, Other: Speaking Fees, Research Funding;Amgen: Consultancy, Honoraria, Other: Speaking Fees, Research Funding;Janssen: Consultancy, Honoraria, Other: Speaking Fees, Research Funding.

CT-152: Application of Web-Scraping Techniques for Autonomous Massive Retrieval of Hematologic Patients' Information During SARS-CoV2 Pandemic

Context: Data collection involving a large number of patients is usually known as a tedious and time-consuming task by healthcare professionals. Current patient load makes collecting clinical data almost impossible even though we need that information more than ever. Objective: We wanted to deploy a system that automatically and autonomously retrieves clinical data from our patients suffering from SARS-CoV2 that arrive at hospital admission to collect that information for further analysis. Design: We designed a daemon in PHP programming language connected to a MySQL MariaDB database that continuously searches for new patients consulting at hospital. We collected medical history, disease records, regular medication, physical exploration, vital signs, blood chemistry and count, and finally, microbiology testing of SARS-CoV2 (both PCR and ELISA antibody testing). As we don't have access to any API service (out-of-the-box connection to the data mainframe), we took advantage of web-scraping (brute-force data extraction from webpages using HTTP protocol) applied to our hospital web interface. Setting: Monitoring was made between 1st March, 2020 and 15th April, 2020 (during worst Coronavirus outbreak phase of the country), using only one computer connected to the hospital network. The number of patients identified was 259, each one with 344 clinical and testing variables. Results: Using this technique, we collected data of 259 hematologic patients without human intervention and more than 300 variables have been analyzed. Nowadays, manual revision of certain aspects of the database (e.g., comorbidities) is needed and some data needs to be manually entered due to the lack of proper codification. In the future, with the development of semantic-matching technologies, fully autonomous building of the databases will be possible. In the meantime, our technique can solve the capture of enormous amount of clinical information without effort. With that information, observational studies, even a prognosis score using machine learning, have been developed in our center. Conclusions: Data collection for further analysis is usually a vital, but time-consuming, task in order to answer clinical questions. We developed a technique that helped our center retrieve patients' clinical information autonomously during the SARS-Cov-2 pandemic.