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Background: Cytopenias are a common complication of and prolonged (beyond month 3 post CAR-T infusion), severe (grade 3 or higher) cytopenias can be difficult to manage. Stem cell boosts have been reported to restore hematopoiesis; however, stem cells would need to be available prior to CAR-T therapy for potential use post CAR-T. Most lymphoma patients and limited number of myeloma patients may have pre-collected stem cells in storage. Identifying patients at high risk for prolonged and severe cytopenia post CAR-T at the time of CAR-T evaluation (baseline), before leukapheresis, can help identify the patients for coordination of stem cell collection during CAR-T manufacturing and increase the likelihood that the collected stem cells would be used. In this study, we aim to identify clinical variables at the time of CAR-T evaluation, prior to leukapheresis, that are associated with severe cytopenias at month 3 post CAR-T infusion and identify patients who could be considered for pre-emptive stem cell collection prior to CAR-T therapy. Methods: We conducted a retrospective analysis of patients with multiple myeloma (MM) and non-Hodgkin lymphoma (NHL) who received CAR-T products at Mayo Clinic from 01/2016 to 06/2022. Patients with progressive disease in the first year post CAR-T were excluded from the analysis. Baseline (at CAR-T evaluation, prior to leukapheresis) variables were compared between those with and without severe cytopenia at month 3 post CAR-T. Severe cytopenias were defined as hemoglobin (Hg) < 8 g/dL, absolute neutrophil count (ANC) < 0.5 x 10 9/L, and/or platelet count (PLT) < 50 x 10 9/L. Statistically significant variables (p<0.05) by analysis were examined for statistical significance in multivariate analysis (MVA). Results: Among the 166 patients who received CAR-T (88 NHL, 78 MM) during the study period, 31 (18.67%) had a severe cytopenia at month . Twenty baseline variables were examined; HGB, PLT, ANC, and c-reactive protein (CRP) We devised a cytopenia risk score using 1 point each for Hg<10 or PLT<100k at baseline, with a range of 0 to 2. Demographics and clinical outcome by cytopenia risk score is shown in Table 1B. A higher percentage of patients with a score of 1 or 2 had a severe cytopenia at month 3 (Figure 1). In particular, there was a . In addition Conclusion: Baseline cytopenias before leukapheresis may identify patients with increased risk for severe cytopenias at month 3 post CAR-T. These patients can have continued slow hematopoietic recovery in the first year. Stem cell collection, if feasible, could be considered before CAR-T to alleviate post-CAR-T severe prolonged cytopenias.

Background Treating patients with multiple myeloma (MM) is a complex endeavor that requires effective clinical decision-making from a team of specialists and supporting clinicians. Additionally, treatment with chimeric antigen receptor (CAR) T-cell therapy presents unique challenges, requiring communication and collaboration between the oncology clinic and CAR T-cell treatment centers. To improve collaborative MM care, we conducted a quality improvement (QI) study, bringing together community and academic oncology centers to assess current practice patterns and develop strategies to overcome barriers in the treatment of patients with MM across the continuum of care. Methods This QI initiative is comprised of baseline provider surveys (Community n = 21; Academic n = 18) and pre- and post-surveys of providers (n = 31) participating in small-group, team-based audit-feedback (AF) sessions (Table 1). Survey questions were designed to assess knowledge, confidence, and experiences in keeping up with the latest clinical evidence and guideline recommendations and collaboration and communication practices between centers. Care teams from each clinic, along with a nationally renowned expert MM physician, participated in audit and feedback sessions to (a) assess system-specific practice gaps identified via the provider surveys, (b) prioritize areas for improvement, and (c) develop action plans for addressing root causes. Results Provider Surveys: When asked their top challenge encountered in managing patients with MM, community-based providers reported keeping up with clinical evidence for new and emerging therapies (48%), whereas academic-based providers reported knowing how to optimally sequence therapies (50%). Further differences between community and academic clinicians were evident in their self-reported confidence in their ability to stay up-to-date with new data on CAR T-cell therapies and other MM treatment (high/very high confidence: 84% academic; 24% community; p < .001), ability to align clinical practices with evidence-based guidelines (high/very high confidence: 72% academic; 34% community; p = .018), and ability to sequence lines of therapy and differentiate between novel therapies for MM (high/very high confidence: 72% academic; 29% community; p = .007). Despite these differences, care teams from both settings reported low percentages of eligible patients have received CAR T-cell therapy for MM, citing patient resistance, cost and difficulty gaining insurance approval as top barriers (Figure 1). When asked to rate the level of communication and collaboration between academic and community centers, 44% of academic providers and 35% of community providers rated very good/excellent. The top barrier among providers not indicating very good/excellent communication from both settings was lack of time for our clinic's staff to communicate. AF Sessions: Providers participating in the small group AF sessions reported gaining access to newer therapies (55%) as their biggest challenge regarding MM management. Clinicians indicated gains in moderate/high/very high confidence in their ability to align treatment decisions with guidelines and clinical evidence for MM (78% to 92%) and ability to sequence treatment options across multiple lines of therapy for patients with MM (80% to 100%). Care teams set goals to enhance knowledge of clinical efficacy and safety of new and emerging therapies for MM. Action plans to achieve these goals include developing a hematology disease specific tumor board to collaborate on patient care plans, further train designated staff members focused on CAR T-cell/MM, discuss relevant new data to improve the team's confidence in therapy sequencing and early referrals to CAR T-cell centers. Conclusions Through this QI initiative, clinical teams identified barriers to optimal MM care, creating and implementing specific action plans to increase knowledge of current and emerging therapies for MM to enhance individualized treatment plans. While meaningful confidence gains were demonstrated, these data underscore clinical practice gaps to address in future initiatives to support evidence-based, collaborative care plans for patients with MM. Study Sponsor Statement The study reported in this abstract was funded by educational grants from Bristol Myers Squibb. The grantors had no role in the study design, execution, analysis, or reporting.

Background As therapeutic advances have increased life expectancy for patients (pts) with relapsed/refractory (RR) multiple myeloma (MM), second primary malignancies (SPMs) have become an increasingly important safety consideration. Prior studies have demonstrated that treatment with alkylators, autologous stem cell transplantation, and immunomodulatory drugs (IMiDs), specifically lenalidomide, are associated with increased risk of SPM. Pts who are triple-class exposed (TCE), defined as prior exposure to an IMiD, a proteasome inhibitor (PI), and an anti-CD38 monoclonal antibody (mAb), represent an increasingly large subgroup of RRMM pts. The objective of this study was to describe the incidence and characteristics of SPMs in Medicare-insured pts with TCE RRMM initiating a new line of therapy (LOT). Methods Adult pts with an incident diagnosis (Dx) of MM (≥2 outpatient Dx 30-365 days apart OR ≥1 inpatient Dx AND 6 months of continuous eligibility prior to initial Dx) during the study period (Nov 14, 2006-Dec 31, 2020) who were TCE (≥1 claim each for an IMiD, a PI, and an anti-CD38 mAb) were selected from the Center for Medicare and Medicaid Services Chronic Conditions Data Warehouse (TCE pts were assumed to have RRMM based on exposure). The first LOT after TCE was defined as the index LOT and the associated date of initiation was defined as the index date. Pts with SPMs prior to the index date were excluded. SPMs were identified based on having ≥2 outpatient Dx of SPM (of the same cancer type) 30-365 days apart OR ≥1 inpatient Dx of SPM. Dx of SPM included Dx of invasive malignancies or myelodysplastic syndromes (MDS), excluding MM, Waldenström macroglobulinemia, plasma cell leukemia, non-melanoma skin cancers, or primary bone malignancies that were preceded by a Dx of bone metastases. The incidence of SPM was calculated per 100 person years (PY) of follow-up, considering only the first SPM for each pt. Cumulative incidence of SPM (with death as a competing risk) was also calculated. For pts who experienced SPM, overall survival (OS) and measures of healthcare resource utilization (HRU) and costs (in 2021 USD, on a per patient per month [PPPM] basis) were calculated. Results A total of 3,088 TCE RRMM pts were identified, of whom 989 had no evidence of SPM prior to the index date (Table). These 989 pts had a mean age of 75.2 years, a mean of 2.9 prior LOTs and a mean of 3.1 years since MM Dx. Over a median follow-up of 7.1 months, 166 pts (19.3 per 100 PY) experienced an SPM, including 93 (10.8 per 100 PY) with a solid tumor and 73 (8.5 per 100 PY) with a hematologic malignancy. The latter included 27 (3.1 per 100 PY) with acute myeloid leukemia (AML) and 18 (2.1 per 100 PY) with MDS. The cumulative incidence of SPM (95% confidence interval [CI]) at 12, 24, and 36 months was 15.2% (12.8-17.9%), 19.7% (16.8-22.8%), and 23.8% (20.2-27.6%), respectively (Figure). Median (95% CI) OS from SPM Dx was 7.9 months (5.4-10.9). Kaplan-Meier estimated probability of survival (95% CI) at 12, 24, and 36 months following SPM Dx was 40.3% (31.6-48.9%), 27.6% (18.6-37.4%), and 9.5% (2.1-23.8%), respectively. Mean (95% CI) total costs after SPM were $22,514 ($19,105-$26,404) PPPM. Conclusions The incidence of SPM in Medicare-insured TCE RRMM pts is high. Many SPMs in these pts, such as AML, are life-threatening and may interfere with or prevent MM treatment. Pts with SPMs have poor survival and high HRU and costs. With increasing OS for RRMM pts due to therapeutic advancements, there is a need for effective treatments that are not associated with increased risk of SPMs.

Introduction: With rapid treatment advances in multiple myeloma (MM), more patients receive the 3 main classes of MM treatments (immunomodulatory imide drug [IMiD] agents, proteasome inhibitors [PIs], and anti-CD38 monoclonal antibodies [mAbs]) in earlier lines of therapy and become TCE. This is a prerequisite for subsequent treatment with some novel therapies eg, anti-B-cell maturation antigen (BCMA) agents. Published evidence of RW clinical outcomes in patients with TCE MM is scarce in the evolving RRMM treatment landscape. The objective of this study was to assess RW clinical outcomes in patients with TCE RRMM who received treatment post-TCE. Methods: In this observational study, we analyzed de-identified patient data derived from electronic health records (EHRs) from 2 key United States (US) MM longitudinal databases (Flatiron Health MM [FHMM] and COTA Vantage MM [CVMM]). We identified patients who became TCE between November 2015 and March 2021 and received a subsequent treatment post-TCE; the earliest available end date of the 3rd treatment class was considered the date patients became TCE. The start date of the 1st treatment post-TCE (index treatment) was defined as the index date. We analyzed patient demographics, disease characteristics, prior treatment exposure, refractory status, and index treatments patterns/classes. Clinical endpoints assessed were response rates (overall and complete), overall survival (OS), progression-free survival (PFS), and time to progression (TTP). Results: The FHMM and CVMM databases included 1,319 and 1,118 TCE patients, respectively, of whom 897 and 795 received an index treatment post-TCE. Median (range) follow-up for patients who received an index treatment was 18.1 (0.1-82.0) and 15.5 (0.03-72.3) months for FHMM and CVMM cohorts, respectively. Median age for both RW cohorts was 68 years, more than half of patients were men and the majority were White. Patients received a median of 3 lines of prior treatment (range, 1-14 and 1-12 for FHMM and CVMM cohorts, respectively). In both RW cohorts, >75% of patients who received an index treatment were triple-class refractory and approximately 10% were penta-refractory, having received treatment with 2 IMiD agents, 2 PIs, and an anti-CD38 mAb. Approximately 67% and 79% of patients in the FHMM and CVMM cohorts, respectively, had ECOG performance status 0 or 1. Approximately 54% and 61% had received prior stem cell transplantation. IMiD agents either alone or in combination with a PI and/or anti-CD38 mAb constituted the main regimens for index-treated patients. In the CVMM cohort, the overall and complete response rates were 15.2% and 1.7%, respectively; response data were not available in the FHMM cohort. Median OS (22.3 and 20.4 months), median PFS (4.8 and 4.9 months), and median TTP (5.9 and 5.9 months) were comparable for both FHMM and CVMM cohorts. Conclusions: In this observational cohort study of 2 US RW EHR databases, patients became TCE with a median of 3 prior lines of therapy. Post-TCE, most patients with RRMM still received the same 3 treatment classes with poor response and survival outcomes on their treatments. Despite advances in MM management, this study highlights the need for more efficacious novel treatments for patients with TCE MM and serves as a RW benchmark in the literature for appraising emerging data from novel agents in patients with RRMM.

Introduction A single ide-cel infusion showed significantly longer median progression-free survival (PFS) vs std regimens (13.3 vs 4.4 months [mo], HR 0.49, 95% CI 0.38-0.65, P < 0.001) with deep, durable responses in heavily pretreated TCE RRMM at an interim analysis (IA) of KarMMa-3 (NCT03651128); safety data were consistent with prior studies (Rodríguez-Otero et al. NEJM 2023). Ide-cel benefits were consistent across pts in high-risk subgroups and across 2-4 prior lines of therapy (Tx). Results of the preplanned final PFS analysis of KarMMa-3 with 12.3 mo additional follow-up are reported. Methods In the phase 3 KarMMa-3 trial, pts with RRMM who received 2-4 prior regimens, including an immunomodulatory agent, proteasome inhibitor, and daratumumab, and were refractory to last regimen were randomized 2:1 to ide-cel or a std regimen (DPd, DVd, IRd, Kd, or EPd). In the ide-cel arm, pts could receive ≤ 1 cycle of optional bridging Tx for disease control. Pts in the std regimens arm could receive ide-cel after confirmed disease progression (PD). The primary endpoint was IRC-assessed PFS in the ITT population; final PFS was planned to be analyzed with ~289 events. Key secondary endpoints were IRC-assessed overall response rate (ORR) and overall survival (OS); other secondary endpoints included complete response rate (CRR), duration of response (DOR), minimal residual disease (MRD) status, time to next anti-myeloma Tx (TTNT; time from randomization to next anti-myeloma Tx [MTx]), event-free survival (EFS; time from randomization to first PD, next MTx or any-cause death, whichever is first), PFS2 (time from randomization to second objective PD or any-cause death, whichever is first), safety, and health-related quality of life (QOL). Results Of 386 randomized pts (ide-cel, n = 254; std regimens, n = 132), 225 received ide-cel and 126 received a std regimen. Baseline characteristics were generally balanced. Median follow-up from randomization to data cutoff (April 28, 2023) was 30.9 mo (range 12.7-47.8). Ide-cel significantly improved median PFS (95% CI) vs std regimens (13.8 [11.8-16.1] vs 4.4 [3.4-5.8] mo), representing a 51% reduced risk of PD or death (HR 0.49, 95% CI 0.38-0.63; Figure); 18 mo PFS rates were 41% vs 19%, respectively. Ide-cel significantly improved ORR vs std regimens (71% vs 42%) with deeper (CRR 44% vs 5%; ≥CR and MRD negative status [sensitivity level 10 -5], 22% vs 1%), more durable responses (median DOR 16.6 vs 9.7 mo; Table). PFS and ORR benefits of ide-cel vs std regimens were consistent with the IA. Interim OS will be included in the presentation. In pts who received ide-cel (n = 225) or a std regimen (n = 126), median PFS (95% CI) was 15.7 (12.5-18.9) vs 4.4 (3.4-5.8) mo, respectively. In the ITT population, median TTNT, EFS, and PFS2 were numerically longer with ide-cel vs std regimens. Median (range) TTNT was 20.9 (16.6-24.2) vs 7.0 (5.3-8.5) mo. Median (95% CI) EFS was 13.3 (11.3-15.7) vs 3.9 (3.0-5.3) mo. Median PFS2 (95% CI) was 23.5 (18.4-27.9) vs 16.7 (12.2-20.3) mo; ide-cel was next MTx in 70 (53%) pts in the std regimens arm. In the treated population, grade (gr) 3/4 infections occurred in 66/249 (27%) pts in the ide-cel arm vs 25/126 (20%) in the std regimens arm. In the ide-cel safety population, any gr cytokine release syndrome occurred in 197/225 (88%) pts, gr ≥ 3 in 11 (5%); median time to first onset was 1 d (1-14), median duration was 4 d (1-51). Any gr investigator-identified neurotoxicity occurred in 34/225 (15%) pts, gr ≥ 3 in 7 (3%); median time to onset was 3 d (range 1-317); median duration was 2.5 d (range 1-252). Ide-cel continued to demonstrate durable, clinically meaningful improvements in pt-reported outcomes, including symptoms, functioning, and QOL vs std regimens. Conclusions In this final PFS analysis of KarMMa-3, significantly longer PFS was maintained with ide-cel; PD or death risk reduced by 51%; responses were deeper and more durable vs std regimens. CRR with ide-cel increased since the IA, indicating a deepening response, but were unchanged with std regimens. A single ide-cel infusion vs continuous treatment with std regimens resulted in longer median TTNT and PFS2, indicating improved long-term disease control. The ide-cel safety profile was consistent with previous reports, with no parkinsonism or Guillain-Barré syndrome reported. These data continue to support use of ide-cel in pts with TCE RRMM. Study support 2seventy bio and Celgene, a Bristol-Myers Squibb Company.

Introduction: Teclistamab (TEC) is a bispecific BCMA-CD3 directed T-cell antibody (BsAb), recently approved by EMA and FDA. Approval was based on the MajesTEC-1 study showing high overall response rates (≥PR in 63.0%) in heavily pretreated patients with relapsed multiple myeloma (RRMM). Few reports have described Real-World experience despite that TEC can induce unique side effects including cytokine release syndrome (CRS), neurotoxicity (ICANS) and a high incidence of infection (MajesTEC-1: incidence 76.4%; ≥Gr3: 44.8%). Thus, we performed a Real-World analysis of TEC therapy from 7 International Myeloma Foundation (IMF) associated MM academic centers. Methods: Patients treated with standard-of-care TEC were included. Data was collected until 7/28/2023. Results: 103 pts were included; median age 63 (range 33-91y); 15 pts. (14.5%) >75 yrs; 56.5% were male, 71.8% Caucasian, 11.6% Hispanic, and 12.6% Asian. Pts received a median of 6 PLT (range 1-16); 75% were triple-class-refractory (n=41/52 (79%), 30/85 (35%) had high-risk cytogenetics/FISH and 32/80 (40%) had 1q21 gain. At least 57/76 (75%) of pts would not have been eligible for MajesTEC-1 (mostly from prior BCMA (n=28 CAR-T, n=14 ADC; n=3 BsAb; n=5 CAR-T+ADC). 14 pts had CrCl <30ml/min with 2 on HD. Median number of hospital days was 8 (n= 72) but 31 patients were treated entirely as outpatients (Mayo clinic (MN, AZ, FL)). CRS was seen in 52 (50.4%) (all grade 1: except 6 Gr2, 1 Gr4), generally resolved within 24 hrs and was managed with tocilizumab alone (n= 27) or dex alone (n=9) or dex+toci (n=12). CRS was more common with inpatient (56.9%) vs outpatient (35.4%) TEC Rx. CrCl <30 ml, did not appear to alter the incidence or severity of CRS (50%; 1 Gr4). ICANS was infrequent (n=5; 4.85%), 1 pt with Gr 4-Sz requiring HD-steroids and TEC discontinuation). Infections were common, seen in 54 (52.4%) of patients, the majority were viral URI or CMV reactivation (n=26; 3 pts receiving CMV Rx, 1 pt with CMV organ disease). IVIG was given in 43/67 (64%) pts. The overall response rate for evaluable patients (n=82) was 63%; (sCR/CR 14; VGPR 23; PR 15; MR 2, SD 14; PD 14). In evaluable pts treated with prior BCMA (n=43), the ORR was 53% (sCR/CR 4; VGPR 14; PR 5; 1 MR; SD 10; PD 9). The most common reason for treatment discontinuation was PD (26.2%). 14 pts have died by the time of data cut-off (7/28/23), with the most common cause of death being disease progression. Conclusions: In this Real-World evaluation of TEC, a high ORR was seen, similar to the MajesTEC-1 study. Responses were rapid and are expected to deepen over time (median f/u 5m). CRS rates were similar to MajesTEC-1 and no new toxicity signal was noted. The rates of infection appear low but may be related to short follow-up. Details regarding the incidence and types of infection and the global use of IVIG will be described. With longer follow-up, additional efficacy/toxicity data will be presented.

While immunotherapies, such as CAR T therapy and bi-specific antibodies, have revolutionized the treatment of multiple myeloma (MM), patients with AL amyloidosis have been excluded from trials with these agents due to concerns of underlying autonomic, cardiac, and renal dysfunction, leading to potentially fatal toxicities from these therapies. In this communication, we described the outcomes of two patients with AL amyloidosis and concurrent MM with underlying cardiac and/or renal dysfunction who underwent anti-BCMA CAR T cell therapy with ide-cel or cilta-cel, received cytokine release syndrome prophylaxis, and tolerated therapy well with manageable toxicities and achieved a MRD-negative state. We described the preliminary efficacy and safety of CAR T in patients with AL amyloidosis and highlighted the importance of patient selection and medical optimization of cardiac and renal function prior to CAR T.