Chhabra, Saurabh

Abstract Introduction: Multiple myeloma (MM) accounts for nearly 20% of all hematologic cancers in the US and remains a substantial clinical burden, with patients (pts) requiring multiple lines of therapy (LOT). While advances such as BCMA-directed CAR T-cell therapy have improved outcomes, challenges persist, including disease relapse, treatment toxicities (CRS, ICANS, and non-ICANS neurotoxicities), and access. AZD0120 (formerly GC012F) is a first-in-class autologous BCMA/CD19 dual-targeting CAR T-cell therapy using the FasTCAR rapid manufacturing platform that preserves the naive and central memory T-cell phenotypes with marked in vivo proliferative capacity. Phase 1 investigator-initiated trials in China demonstrated deep, durable responses and a favorable safety profile following single-infusion AZD0120 in newly diagnosed and relapsed/refractory MM (RRMM) (Du J, et al. EHA 2024 and ASCO 2023). Here, we report for the first time preliminary phase 1b results from DURGA-1, an ongoing phase 1b/2 clinical trial evaluating the safety and efficacy of AZD0120 in pts with RRMM. Methods: This open-label, single-arm, US-based, multicenter study (NCT05850234) evaluated the safety/tolerability of 2 dose levels (DL) of AZD0120 in pts with RRMM along with preliminary efficacy. Eligible ptswere aged ≥18 y with RRMM (3+ prior LOT [pLOT] including a proteasome inhibitor, immunomodulatory drug, and anti-CD38 antibody), ECOG PS 0–1, and documented evidence of progressive disease. Exposure to BCMA-directed therapy ≥6 mo with best response of PR or better was permitted. Pts underwent lymphodepletion followed by a single infusion of AZD0120. Pts in DL1 received 1x105 cells/kg; DL2 received 3x105 cells/kg. Dose escalation and recommended phase 2 dose (RP2D) were determined by a safety review committee. Phase 1b primary objectives included safety/tolerability and RP2D determination; secondary objectives included efficacy, cellular kinetics (CK), and pharmacodynamics. Results: As of data cutoff (DCO) on 18 July 2025, a total of 25 pts received infusion of AZD0120 (n=12 DL1; n=13 DL2). The median age was 64 y (range 44–78), median pLOT was 4 (range 3–7), 72% were triple-class refractory, 20% had prior BCMA CAR T-cell therapy, 4% had prior teclistamab, 28% had high-risk cytogenetic features [del(13q), del(17p13), t(4;14), t(14;16), amp(1q)], and 8% had extramedullary plasmacytomas. The median time from apheresis to release was 14 d (range 10–30). Median time from apheresis to infusion was 28 d (range 19–44) with 5 pts receiving bridging therapy. Median follow-up was 1.4 mo (range 0–19.3). No dose-limiting toxicities were reported for either dose. The most common treatment-emergent AEs (TEAEs, any grade) were CRS (64%), neutrophil count decreased (56%), and anemia (32%). The most common grade ≥3 TEAEs were neutrophil count decreased (52%), lymphocyte count decreased (32%), and white blood cell count decreased (32%). CRS was reported in 75% of pts at DL1 (all grade 1) and 54% at DL2 (46% grade 1; 8% grade 2), with no cases of grade ≥3 CRS. Median time to CRS onset (DL1/DL2) was 9 d (range 2–11), with a median duration of 2 d (range 1–4); 12 pts (48%) received tocilizumab for CRS management and 12% received dexamethasone. No cases of ICANS, related non-ICANS neurotoxicity, IEC-colitis, or secondary primary malignancies have been reported. There have been no deaths. For efficacy-evaluable patients (n=15), ORR was 100% (33% sCR, 47% VGPR, 20% PR). CR rates in evaluable pts were 30% in DL1 (n=10) and 40% in DL2 (n=5); median time to response was 0.9 mo for both DLs (range 0.9–1.9 DL1; 0.6–1.8 DL2). All MRD-evaluable pts (n=5 DL1; n=3 DL2; DCO 01 July 2025) were MRD-negative by NGS at a sensitivity of 10-5. Three pts in DL1 with ≥12 mo follow-up maintained MRD negativity. Consistent with robust in vivo expansion, CK analysis from 16 evaluable pts (DCO 12 June 2025) demonstrated a median Tmax of 13 d post-infusion with a median Cmax of 85,266 copies/mg gDNA. Median persistence was 42 d (range 13–273). Updated clinical data with additional follow-up will be presented. Conclusion: Preliminary phase 1b results demonstrated AZD0120 was well tolerated, with a low incidence of serious AEs, no grade ≥3 CRS, and no ICANS. FasTCAR-manufactured AZD0120 had expectedin vivo expansion, which may have resulted in the predictable CRS profile. A single infusion of AZD0120 achieved early, deep responses with 100% MRD negativity from 4L+ triple-class‒exposed pts with RRMM.

Abstract Introduction: Axatilimab is an anti–colony-stimulating factor 1 receptor (CSF-1R) monoclonal antibody that targets monocytes and macrophages, key mediators of inflammation and fibrosis in chronic graft-versus-host disease (cGVHD). Axatilimab is approved by the US Food and Drug Administration at a dose of 0.3 mg/kg (up to a maximum dose of 35 mg) every 2 weeks (Q2W) for patients with cGVHD after ≥2 prior lines of therapy, based on results from the pivotal phase 2 AGAVE-201 clinical trial (NCT04710576). Patients treated with the 0.3 mg/kg Q2W dose in the AGAVE-201 study were able to transition to 0.6 mg/kg every 4 weeks (Q4W) dosing based on the investigator's discretion and per study protocol criteria. Aims: To describe the safety and feasibility of transition from axatilimab 0.3 mg/kg Q2W to 0.6 mg/kg Q4W dosing using data from AGAVE-201. Methods: Patients treated with axatilimab 0.3 mg/kg Q2W in AGAVE-201 who had their Cycle 7 assessment and achieved a partial or complete response (PR/CR) per National Institutes of Health criteria that was sustained for ≥20 weeks or had not progressed were able to change their dosing schedule to 0.6 mg/kg Q4W (without dose capping) per the study protocol and investigator discretion. Safety and treatment duration were assessed in this post hoc analysis; patients who received additional systemic therapies were excluded. The data cutoff was March 30, 2025. Results: In the first 6 treatment cycles, 59 of the 80 patients (73.8%) randomized to axatilimab 0.3 mg/kg Q2W had a response to treatment (primary endpoint). Of these 59 patients, 19 (32.2%) transitioned to 0.6 mg/kg Q4W dosing. Among these 19 patients, demographics (median [range] age, 50.0 [20–73] y; male, 63.2%) and baseline clinical characteristics (median [range] number of organs involved at baseline, 3.0 [2–8]; severe disease, 73.7%; prior use of ibrutinib, ruxolitinib, or belumosudil, 89.5%) were comparable to the full cohort initially randomized to 0.3 mg/kg Q2W. Overall response rate in the first 6 treatment cycles among the 19 patients who switched to 0.6 mg/kg Q4W was 94.7% (95% CI, 74.0%–99.9%; CR, 5.3%; PR, 89.5%); 1 patient had stable disease and thus was eligible to switch, per investigator discretion. Patients were on treatment for a median (range) of 20.9 (2–32) months after switching doses; 16 of 19 patients (84.2%) maintained the 0.6 mg/kg Q4W dose after dose switching. The safety profile for axatilimab was generally similar before and after the dosing change. After switching to 0.6 mg/kg Q4W, 10 patients (52.6%) had grade ≥3 treatment-emergent adverse events (TEAEs); pneumonia was the only grade ≥3 TEAE reported in >1 patient (n=2). TEAEs led to treatment interruptions in 4 patients (21.1%) and discontinuations in 3 patients (15.8%) after switching. The most common TEAEs after switching to 0.6 mg/kg Q4W were fatigue (n=5 [26.3%]), upper respiratory tract infection (n=5 [26.3%]), and headache (n=4 [21.1%]); 1 patient (5.3%) had an infusion-related reaction (n=1 [rash]). Incidences of on-target TEAEs were generally similar before and after the switch, including elevations in alanine aminotransferase (n=3 before switching and n=1 after) and amylase (n=0 and n=1).Conclusion: Transition to 0.6 mg/kg Q4W (without dose capping) is feasible and well tolerated in patients treated with axatilimab 0.3 mg/kg Q2W on the AGAVE-201 study. The Q4W dosing strategy at the 0.6 mg/kg dose identified no new safety signals. Patients had a prolonged duration of therapy, with a median of 20.9 months (1.7 y), and 84% of patients continued treatment, suggesting ongoing clinical benefit. These data provide evidence of the safety and feasibility of a 0.6 mg/kg Q4W dosing strategy in alignment with the AGAVE-201 protocol.

Abstract Introduction Cila-cel is associated with a 10-15% risk of delayed neurotoxicity (DNT) with rates of cranial nerve palsies (IEC-NP) and parkinsonism (IEC-PKS) seen at a rate of 10% and 1-4% respectively and can occur as early as 3-4 weeks after infusion. We and others have shown that high post-infusion peak absolute lymphocyte count (ALCpeak) of >3x10^9/L is associated with an increased risk of delayed neurotoxicity (Lim et al., ASCO 2025) whilst the risk was negligible (~1%) when ALCpeak fell below that threshold. Since December 2024, we implemented prophylactic administration of dexamethasone (PPX DEX) when ALC was >3x10^9/L (defined as high ALCpeak). Outcome of these patients are described here. Methods Analysis of clinical outcome included 230 pts treated between Feb 2022 and Nov 2024 as a historical cohort and 102 patients treated between Dec 2024 and May 2025 after the introduction of dexamethasone prophylaxis using an oral dose of 10mg twice a day for at least three days in the high ALCpeak cohort. Results No significant differences were seen between the new and historical cohort in pre-lymphodepletion disease burden (bone marrow plasma cell %, involved light chain or M-spike level), and rates of all/high-grade CRS or ICANS, IEC-HS and rates of tocilizumub use. Median follow-up in the new cohort of 102 pts was 3.6 months (95% CI 3.3-4.2). Eleven (10.8%) developed DNT [3 (2.9%) with IEC-PKS, 8 (7.8%) with IEC-NP]. High ALCpeak of >3x10^9/L was observed in 51 (50%) pts. Among pts with high ALCpeak, DNT was observed in 10 (20%) pts [3 (5.9%) with IEC-PKS, 7 (13.7%) with IEC-NP] whereas among 51 pts with ALCpeak <3x10^9/L, DNT was observed in 1 (2%) pt [1 (2%) with IEC-NP]. In the high ALCpeak cohort, 38 (75%) received DEX [6 (12%) for toxicity management, 32 (63%) PPX DEX]. Of the 38 pts treated with DEX, DNT was observed in 6 (16%) pts (2 (5.3%) IEC-PKS, 4 (10.5%) IEC-CNP). We next compared DNT rates between this new cohort of high ALCpeak pts receiving DEX (n=38) against the historical cohort with high ALCpeak (n=98). Estimated 90-day DNT by Kaplan-Meier method was (19.2% vs 20.5%; p=0.53): IEC-PKS (5.8% vs 7.2%; p=0.60) and IEC-NP (11.7% vs 13.3%; p=0.58). In patients with high ALCpeak, the use of DEX did not appear to significantly reduce the risk of DNT compared to historical controls (HR 0.76, 0.33-1.78), IEC-PKS (HR 0.67, 0.14-3.10) or IEC-NP (0.73, 0.24-2.23). We next compared ALC expansion over the first month post CAR-T infusion (area under the curve, AUC). Among the new cohort of 102 patients, no difference was seen in the AUC of pts who received DEX but did not develop DNT vs those who developed DNT (31.0 vs 57.9, p=0.28); No difference in AUC was seen in the new high ALCpeak cohort receiving DEX vs the historical cohort with high ALCpeak (36.0 vs 43.8, p=0.15) Of the eight cases of IEC-NP, 4 received PPX DEX. No noticeable differences were observed in the severity of presentation, laterality of cranial nerve involvement and rates of multiple cranial nerve involvement between these 4 cases who received PPX DEX and the 16 cases from the historical cohort. At the time of database freeze, 3 of the 4 cases had resolved and 1 was improving. Median time to complete symptom resolution was 38 days vs 69 days in the historical cohort. Of the three cases of IEC-PKS, 2 received PPX DEX. Median time to symptom onset for IEC-PKS was 46 days (vs. 24 days in historical cohort). Both cases had severe symptoms non-responsive to first line high-dose methylprednisolone, second line intrathecal chemotherapy and third line high-dose cyclophosphamide. Both pts subsequently died from sepsis 28 and 67 days post-cyclophosphamide. Conclusion While ALCpeak >3x10^9/L predicts risk of DNT in pts treated with cilta-cel, the use of PPX DEX does not appear to significantly reduce ALC expansion and does not appear to significantly reduce the risk of DNT, IEC-PKS or IEC-NP. Other strategies to reduce ALC or alter T cell functions may need to be considered.

Abstract Background Chimeric-antigen-receptor (CAR) T-cell therapy has transformed outcomes for relapsed or refractory hematologic malignancies, yet early identification of patients at highest risk for death remains elusive. A prognostic model that leverages only the information routinely available at the time of CAR-T evaluationcould guide pre-infusion counseling, intensity of follow-up, and resource allocation. Methods We analyzed a prospectively maintained cohort of CAR-T recipients treated at Mayo Clinic to develop and test our model. For each patient, data (vital signs, lab results, cardiac assessments [ECG and echocardiography], and PET/CT images) from initial CAR-T evaluation (up to 60 days prior to CAR-T infusion) was considered. Vital signs and labs were left un-imputed, while ECG, echocardiographic parameters, and PET/CT features were forward-filled from the preceding 60 days. Each patient-day was labeled as “outcome present” or “no outcome,” enabling supervised training of gradient-boosting models to predict overall survival (OS) at 6 months post CAR-T infusion. Model performance was evaluated using the area under the ROC curve (AUC) with 10,000-fold bootstrapping with data shuffling between each iteration to derive confidence intervals for stability. To enhance interpretability, we also developed a simplified model using the top 19 features (determined by Shapley value-based importance), aiming to preserve predictive accuracy with a smaller feature set. Results A total of 570 CAR-T cell treated patients were included in this study (476 patients in the training cohort and 94 patients in the validation cohort). The median age was 64 years and 61% males. The primary diagnoses were B-cell lymphoma (324 patients) and multiple myeloma (246 patients). A total of 4,851 individual vital-sign readings, 11,781 laboratory measurements were included. PET/CT images were available in 318 patients. The ML model demonstrated high discriminative ability for predicting OS at 6 months post CAR-T infusion. Vital signs alone produced a mean AUC of 0.63; radiomics features alone produced a mean AUC of 0.71, while laboratory tests alone produced a mean AUC of 0.84. The features most contributory to each single-modality model were then combined into a simplified multimodal model with a total of 19 features, which produced a mean AUC of 0.87, with a 95% CI of 0.73 - 0.97. The 19 features included in the simplified model were: LDH, ferritin, uric acid, eosinophils, fibrinogen, D-dimer, heart rate, mean arterial blood pressure, QTc, QT interval, and the radiomics features of sphericity, first-order Kurtosis, first-order mean, first-order energy, first-order total energy, shape maximum2D diameter (sagittal plane), SUV CoV, SUVp90, shape flatness. This multimodal predictive model was then applied to the validation cohort (uninvolved with model training or testing), which produced an AUC of 0.93, with a 95% CI of 0.84 - 0.98. Conclusions Our ML-driven approach successfully predicts overall survival 6 months post CAR-T infusion, highlighting those individuals at most risk of poor outcomes at the time of CAR-T evaluation. The strong performance of the multimodal version of the model suggests that each data domain contributes complementary resolving power, and by including novel data types, such as PET CT radiomics features, the most accurate predictions could be realized. By providing accurate, near-real-time risk stratification for poor outcomes within 6 months of CAR-T infusion, the model could facilitate proactive patient management. Prospective studies of the integration of this ML model into CAR-T treatment workflows will be crucial to confirm its clinical benefits and to facilitate its adoption in practice.

Abstract Introduction: Graft Failure (GF) is a rare but devastating outcome of HCT. Primary GF (PGF), defined as a failure of neutrophil recovery by Day+28, is straightforward to diagnose. Diagnosing secondary GF (SGF) is more challenging, with its broad time-range, multiple confounding diagnoses, and lack of predictive biomarkers. In BMT CTN1703/1801, we analyzed patients receiving RIC HCT for heme malignancies with either Tac/MTX (n=159) or PT-Cy (n=165) GVHD prophylaxis. SGF was defined as donor chimerism <5% after initial donor engraftment. With Tac/MTX, there were 3 PGF and 1 SGF diagnoses. With PT-Cy, there were 4 PGF and 6 SGF. Median SGF diagnosis was Day +64 (range: Day+28-215). There were too few Tac/MTX patients to analyze SGF, but sufficient events with PT-Cy. To identify PT-Cy SGF predictors, we leveraged lymphocyte, T, B, and NK cell reconstitution analysis. In SGF we found an early, profound deficit in the reconstitution of all major lymphocyte populations, including total lymphocytes, T, B, and NK cells, as early as Day+28. This enabled the modeling of a SGF risk classifier based on the Absolute Lymphocyte Count (ALC). Methods: Clinical ALC measurements were performed on all SGF patients (n=6) and on non-GF controls with ALCs available (146 of 155 non-GF patients). Flow cytometry was performed on all PT-Cy SGF patients (n = 6) and from a subset of non-GF controls (n = 18: controls were chosen as patients without relapse or severe GVHD, to reduce confounders introduced by immunologic interventions, and for whom all samples, including from the graft infusion, were available). T, B, and NK counts, as well as T cell subsets, were compared (using Welch's T test) on Days 7, 14, 21, 28, 42, 63, 98, 180, 270, 365, 730, with SGF patients censored on the day of GF diagnosis. To interrogate the optimal ALC cutoff, the cumulative incidence of SGF was computed at Days +28 and +42, with death without GF as a competing risk. Results: We have previously demonstrated that, compared to Tac/MTX, PT-Cy patients exhibited an early decrease in reconstitution of all T cell populations (with normal NK and B cell reconstitution). Here we focused specifically on PT-Cy patients with or without SGF. Graft CD34 counts/kg were not different between SGF patients and non-GF patients (mean CD34/kg = 1.38 x10e6 (SGF) vs 0.67 x10e6 (non-GF, p = 0.61) However, even amidst the overarching early suppression in T cell reconstitution with PT-Cy, SGF patients could be easily distinguished from the larger PT-Cy cohort, based on more profound deficits in ALC, T, B and NK cells reconstitution, measured using 2 strategies: (1) SGF patients demonstrated significant early (Day +28) quantitative defects in the reconstitution of the ALC (mean +/- SEM 262+/-32 cells/µL (non-GF) vs 60 +/- 25 (SGF, p<0.0001), CD4 T cells (62 +/- 12 cells/µL vs 19+/-15, p=0.048), CD8 T cells (15 +/-3 cells/µL vs 3.5 +/-1 p=0.0009), all CD8 T cell subpopulations, as well as NK cells (116+/-31 cells/µL vs 2.9+/-1.4 cells/µL, p= 0.002) and B cells (3.5 +/-1.4 cells/µL vs 0.16+/-0.07 p =0.03). (2) In SGF, there was a significant deficit in the rate of rise of all major lymphocyte populations between Days 28-42-60 vs non-GF, including CD4 T cells (p<0.0001), CD8 T cells (p = 0.0002), B cells (p<0.0001), and NK cells (p =0.048). These discoveries suggested that a classifier could be identified to risk-stratify patients for SGF. We explored an ALC cutpoint, amenable to standard clinical lab analysis. A statistically significant threshold was identified at both Days+28 and +42, with Day+42 being most predictive: A threshold of 120 cells/µL was identified as optimal, with landmark analysis documenting a SGF rate of 34.7% below the cutpoint, and SGF of 1% above it (HR = 45.9, 95% CI 5.7 - 366). Conclusions: Despite the small number of events, PT-Cy patients with SGF demonstrated a distinctive reconstitution trajectory that encompassed an early, substantial, and sustained deficit in all lymphocyte counts, as well as a lack of their longitudinal expansion. This enabled the discovery of a candidate ALC biomarker cutpoint at Day+42 that could distinguish patients who were more likely to develop SGF. If confirmed, these data could generate a predictive biomarker for SGF, which would enable the design of trials evaluating early interventions (e.g. CD34+ boosts, DLI, modification of immunosuppression) to improve outcomes for these patients.

Abstract Background In patients with myelofibrosis (MF) undergoing allogeneic hematopoietic cell transplantation (allo-HCT), graft-versus-host disease (GVHD) prophylaxis has traditionally included a calcineurin inhibitor (CNI) plus methotrexate (MTX). We conducted a retrospective study comparing the safety and efficacy of post-transplant cyclophosphamide (PTCy)-based GVHD prophylaxis to CNI-based regimens. Methods This study was approved by the Mayo Clinic IRB. Patients with myelofibrosis who underwent allo-HCT after 2016 at Mayo Clinic in Arizona and Florida were included. Categorical variables were compared using Chi-square or Fisher's exact tests. Overall survival (OS) was defined from transplant to death, and progression-free survival (PFS) from transplant to relapse or death. OS and PFS were estimated using Kaplan-Meier methods; univariate differences were assessed with log-rank tests. The cumulative incidence of acute and chronic GVHD and time to neutrophil and platelet engraftment were analyzed using competing risk models, with death as a competing event; differences were tested using Gray's test. Cox proportional hazards models were used to estimate adjusted hazard ratios (HRs). Results A total of 110 patients were included. 53 patients received PTCy-based prophylaxis (43 PTCy/Tac/MMF, 1 PTCy/CSA/MMF, 9 PTCy/Siro/MMF), while 57 received non-PTCy regimens (54 Tac/MTX +/- 39 T-cell depletion, 2 CSA/MMF, 1 Tac/MMF). Median age at transplant was 63 (range: PTCy 40-76; others 38-74) years in both groups; 59 were male (58.5% PTCy vs 49.1% others). Median Karnofsky Performance Status (KPS) and HCT–Comorbidity Index (HCT-CI) in patients receiving PTCy vs non-PTCy were 90 vs 80 and 1 vs 3, respectively. Conditioning intensity was similar: 22.6% myeloablative vs 21.7%, and 77.4% reduced-intensity vs 76.7% in PTCy and non-PTCy, respectively (p=1.000). Stem cell source was peripheral blood in all patients except one in the non-PTCy group who received bone marrow. 58 patients had primary MF (54.7% PTCy vs 50.9% others), and 52 had secondary MF (45.3% PTCy vs 49.1% others), including essential thrombocythemia (28.3% PTCy vs 31.6% others), polycythemia vera (17.0% vs 15.8%), and MPN-NOS (0% vs 1.8%). Median follow-up was 26.2 months (95% CI: 20.7-52.7) in the PTCy and 60.6 months (95% CI: 53.1-70.6) in the non-PTCy cohort. CD3 and CD33 donor chimerism ≥95% at day +100 was 66.7% and 86.7% in PTCy vs 63.6% and 92.7% in others, respectively (p=0.50); day +100 driver molecular mutations were present in 32.1% of PTCy and 32.0% of others (p>0.99). Rates of acute GVHD grades ≥2 and ≥3 were not statistically significant, in the PTCy group (37.7% vs 49.1% p=0.229 and 17.0% vs 22.8% p=0.445, respectively). Chronic GVHD (any grade) occurred in 42.3% of PTCy vs 38.2% of others (p=0.664), while moderate-to-severe cGVHD was lower with PTCy (21.2% vs 27.3% p=0.461). Platelet engraftment was significantly delayed in the PTCy group (median 33 vs 21 days, p=0.030). Median time to neutrophil engraftment was also delayed in the PTCy group (20 vs 17 days, adjusted p=0.025). Age-adjusted HR for time to platelet engraftment was 0.60 (95% CI: 0.41–0.90; p=0.014), and for neutrophil engraftment 0.65 (95% CI: 0.44–0.95; p=0.025), indicating significantly delayed hematopoietic recovery with PTCy. Graft failure occurred in 9.4% vs 5.3% (p = 0.48); primary 7.5% vs 3.5%, secondary 1.9% vs 1.8% in PTCy vs non-PTCy groups, respectively. Relapse or progression occurred in 11.3% of PTCy vs 17.5% of others (p=0.355); four patients in the non-PTCy group progressed to AML post-transplant, versus none in the PTCy group (p=0.119). 1-year TRM was 22.6% in the PTCy group and 14.0% in the non-PTCy group, p = 0.324. Median OS was 72.8 months in the PTCy group (95% CI: 49.9 months, upper limit not estimable [NE]) and 93.4 months in the non-PTCy group (95% CI: 48.5 months, upper limit NE), although the difference was not statistically significant (p=0.739). After adjusting for age and HCT-CI, there were no significant differences in PFS (adjusted HR 1.37; 95% CI: 0.73–2.56; p=0.331) or OS (adjusted HR 1.27; 95% CI: 0.64–2.51; p=0.498). Conclusions In myelofibrosis patients undergoing allo-HCT, PTCy-based GVHD prophylaxis showed similar rates of grade ≥2 acute and moderate-severe chronic GVHD compared to non-PTCy regimens. Engraftment was significantly delayed, while OS and PFS were comparable. PTCy appears to be a safe and viable alternative to CNI-based prophylaxis.

PURPOSE This analysis aimed to contextualize the symptoms of peripheral neuropathy (PN) experienced by patients with triple-class refractory (TCR) multiple myeloma (MM) treated with elranatamab in the MagnetisMM-3 clinical trial with those experienced by patients with TCR MM receiving a new line of physician's choice of therapy in the real-world MagnetisMM-14 study. METHODS MagnetisMM-3 included 123 patients and MagnetisMM-14 included 35 who had TCR MM and were enrolled under the same eligibility criteria. Patient-reported symptoms of PN were collected monthly using the Chemotherapy-Induced Peripheral Neuropathy-20 item (CIPN20) questionnaire and compared for clinically meaningful differences across sensory, motor, and autonomic domains. Higher scores indicated worse patient-reported PN symptoms. RESULTS Baseline demographics and clinical characteristics for patients in MagnetisMM-3 and MagnetisMM-14 were generally similar. Patients in MagnetisMM-3 had a median of five ( v four in MagnetisMM-14) prior lines of therapy. In MagnetisMM-14, common index therapies included elotuzumab + pomalidomide (23%), carfilzomib + pomalidomide (19%), or carfilzomib + cyclophosphamide (19%), all with corticosteroids. Mean scores for sensory (15.8 v 14.8) and motor (14.4 v 12.2) domains of the CIPN20 were similar between MagnetisMM-3 and MagnetisMM-14 at baseline. Mean scores for the autonomic domain were 14.0 versus 21.3 at baseline, respectively. No clinically meaningful differences for any domain were found between month 6 scores or changes in scores from baseline to month 6 between MagnetisMM-3 and MagnetisMM-14 populations. CONCLUSION These findings suggest that elranatamab treatment was not associated with a worsening of patient-reported PN symptoms across the sensory, motor, and autonomic domains of the CIPN20. Moreover, PN symptoms reported with elranatamab treatment were similar to those reported with other common therapies used in real-world clinical practice for the management of MM. MagnetisMM-3 ClinicalTrials.gov identifier: NCT04649359 .

Summary We investigated the outcomes of patients with advanced systemic mastocytosis (AdvSM) undergoing allogeneic haematopoietic cell therapy (alloHCT) in the US. Twenty‐seven adult (median age, 58 years) patients with AdvSM received alloHCT from 2014 to 2021. Most patients were white (93%), male (63%) and had systemic mastocytosis (SM) with associated haematological neoplasm (SM‐AHN, 70%), received peripheral blood grafts (89%) and non‐myeloablative regimens. KIT mutation was detected in 14 of the reported 16 patients (87.5%). Post‐transplantation cyclophosphamide (PTCy) was used in approximately 50% of the cohort. Approximately 1 year after alloHCT, median bone marrow mast cell burden decreased from 15% pre‐alloHCT to 1.5% (range 0–8) at 1 year post‐alloHCT. The median serum tryptase decreased from 55 ng/mL (range 3–400 ng/mL) pre‐alloHCT to 18 ng/mL (range 0–481 ng/mL) at 1 year post‐alloHCT. At 1 year, progression‐free survival (PFS) and overall survival (OS) were 59% (95% confidence interval [CI], 41%–77%) and 74% (95% CI, 56%–89%) respectively. In the subset of patients with SM‐AHN, 1‐year PFS and OS were 74% (52%–91%) and 79% (95% CI, 58%–94%) respectively. The cumulative incidence of relapse/progression for the entire population of patients with SM ( n = 27) was 4% (95% CI, 0–14) at 100 days and 15% (95% CI, 4–31) at 1 year. For the subset of patients with AHN, the cumulative incidence was 11% (95% CI, 1–28) at 100 days and 21% (95% CI, 6–42) at 1 year. Relapse/progression was the cause of death in six of 12 patients (5 died of AHN and 1 died of SM progression). Eighteen and nine patients received a KIT inhibitor before alloHCT and after alloHCT respectively. In addition, six patients received a KIT inhibitor for the treatment of relapse/progression of SM after alloHCT. Although it is difficult to delineate the exact effect of alloHCT and KIT inhibitors because of the size of the study in this era, the use of alloHCT and KIT inhibitors pre‐ and post‐ alloHCT is increasing. In the near future, larger studies are required to provide further insights into this subject.

Abstract Ciltacabtagene autoleucel (cilta-cel) and idecabtagene vicleucel (ide-cel), 2 B-cell maturation antigen (BCMA)–directed chimeric antigen receptor T-cell (CAR-T) therapies, have transformed outcomes for relapsed/refractory multiple myeloma; however, the 6 to 8 weeks manufacturing time risks disease progression or death in up to 10% of patients. Talquetamab, a G-protein–coupled receptor, family C, group 5, member D (GPRC5D)–targeting bispecific antibody, represents a promising option. We performed a multi-institutional retrospective analysis across 20 centers (18 United States, 2 Germany) evaluating talquetamab as a bridging therapy prior to cilta-cel or ide-cel. Among 134 patients receiving talquetamab, 119 proceeded to CAR-T (n = 98 cilta-cel, n = 21 ide-cel). Reasons for not proceeding (n = 15) included progression (n = 7), manufacturing failure (n = 6), or patient decision (n = 2). Median age was 65 years and had median 5 prior lines of therapy. Notably, 85% would not have met CARTITUDE-1/KarMMa eligibility criteria. Talquetamab was administered for a median 23 days. Toxicity was manageable: no grade ≥3 cytokine release syndrome (CRS), 2% grade 3 immune effector cell–associated neurotoxicity syndrome (ICANS) and grade 1 to 2 talquetamab unique toxicities (70% oral, 38% skin, and 17% nail; 60% resolved). Talquetamab achieved 71% response rate. After CAR-T, 88% responded (54% complete response), with low-grade toxicities (2 grade ≥3 CRS, 1 grade 3 ICANS, and 5% grade ≥3 infections). Two cases of facial palsy and 1 acute myeloid leukemia occurred. Talquetamab correlated with sustained soluble BCMA decline and peak CAR-T expansion around day 14. Talquetamab bridging appears safe, enabling the majority of difficult-to-treat patients to successfully proceed to BCMA CAR-T therapy.