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1942 Evaluating the Kinetics of Absolute Lymphocyte Counts Following Bispecific T-Cell Engager Therapy to Predict Clinical Outcomes in Relapsed/Refractory Multiple Myeloma

Program: Oral and Poster Abstracts
Session: 653. Multiple Myeloma: Clinical and Epidemiological: Poster I
Hematology Disease Topics & Pathways:
Research, Bispecific Antibody Therapy, Clinical Research, Plasma Cell Disorders, Diseases, Real-world evidence, Treatment Considerations, Biological therapies, Registries, Lymphoid Malignancies
Saturday, December 7, 2024, 5:30 PM-7:30 PM

Emmanuel Bugarin-Estrada1*, Jorge Monge, MD2, Roger Pearse, MD, PhD2*, Ruben Niesvizky, MD2 and Mateo Mejia Saldarriaga, MD3

1Internal Medicine, University of Miami Health System, Miami, FL
2Division of Hematology & Medical Oncology, Weill Cornell Medicine/New York Presbyterian Hospital, New York, NY
3Division of Hematology & Medical Oncology, Weill Cornell Medicine/New York Presbyterian Hospital, NEW YORK, NY

Background
Bispecific T-cell engagers (BiTEs) are effective in treating relapsed/refractory multiple myeloma (RRMM). This study examines the kinetics of absolute lymphocyte counts (ALCs) in RRMM patients (px) receiving BiTEs, hypothesizing that the stimulatory effect of BiTEs on T-cells would result in a higher ALC expansion in px with deeper and longer-lasting responses, aiding in predicting outcomes.

Methods
A retrospective study included all px with RRMM receiving a BiTE at one institution. We collected ALC data from 5 days prior to starting BiTE therapy (tx), during step-up dosing, and at every follow-up visit. Demographic data, baseline disease characteristics, previous lines of treatment (LOT), cytogenetics, staging at diagnosis, best response according to IMWG, progression (POD), and toxicities were recorded. We identified the minimum (ALCmin d1-22) and maximum ALC values (ALCmax d1-22) during the first 3 weeks after BiTE initiation. The difference between ALCmax and ALCmin during the first 3 weeks (deltaALC d1-22) was calculated to determine the expansion rate of ALCs early post-BiTE. Progression-Free Survival (PFS) was calculated from step-up dose 1 to either POD or last follow-up.

Results
As of April 2024, 48 BiTEs step-up dosing were initiated in 41 px. Clinical response was evaluated in 45 events. Anti-BCMA BiTEs were administered to 37 px, and anti-GPRC5D BiTEs to 9 px. Five px received a BiTE in more than one LOT, and two switched from a BCMA to a non-BCMA-targeted BiTE. Baseline disease characteristics and demographics were comparable across different BiTEs, except for race. Response rates were similar between anti-BCMA and non-BCMA agents, with CR/VGPR rates of 72% for elranatamab, 41% for teclistamab, and 56% for talquetamab. No significant difference was observed in the incidence of CRS, ICANS, or severe infections between anti-BCMA and non-BCMA BiTEs. However, severe cytopenias were significantly higher in subjects with elranatamab and teclistamab (65% and 53%, respectively).

ALC kinetics were similar across all BiTEs, with a decrease in ALCs appearing early after starting tx. The median ALCs from day 1 to either POD or last follow-up while receiving a BiTE was 0.58 x109 cells/L [IQR 0.29, 1.07], and was significantly higher in px with CR/VGPR compared to those with ≤PR: 0.92 [0.57, 1.28] vs. 0.31x109 cells/L [0.22, 0.55]; p<0.001. Higher median ALCs were observed in px with CR/VGPR within the first 3 weeks post-BiTE tx vs. those with ≤PR: 0.39 [0.25, 0.57] vs. 0.27 [0.17, 0.55] in week 1, p=0.028; 0.34 [0.24, 0.57] vs. 0.25 [0.17, 0.4] in week 2, p=0.01; and 0.6 [0.38, 0.9] vs. 0.25x109 cells/L [0.12, 0.75] in week 3, p=0.005.

During the first 3 weeks, the median ALCmin (d1-22) was 0.15x109 cells/L [0.07, 0.24], occurring at a median of 5 days [3, 7], while the median ALCmax (d1-22) was 0.70x109 cells/L [0.32, 1.00], appearing at a median of 15 days [11, 21]. The median deltaALC (d1-22) was 0.48x109 cells/L [0.26, 0.85]. The difference in deltaALC (d1-22) according to response group was not significant, but px with CR/VGPR took significantly longer to reach the max deltaALC (d1-22) vs. ≤PR: 11 [6, 15] vs. 6 days [2, 9]; p=0.011.

Px with CR/VGPR more commonly developed CRS (81% vs. 47%; p=0.019), with higher ALCmax (d1-22) and deltaALC (d1-22) associating with CRS: 0.89 [0.54, 1.06] vs. 0.31x109 cells/L [0.20, 0.78]; p=0.02 and 0.61 [0.41, 0.91] vs. 0.24x109 cells/L [0.13, 0.58]; p=0.022, respectively. Px with overall median ALCs ≥0.5x109 cells/L had higher rates of CR/VGPR vs. those with median ALCs <0.5 (75% vs. 28%; p=0.003), but did not predict improved PFS in a multivariate analysis. Remarkably, the increased time to max deltaALC (d1-22) significantly associated with improved PFS (HR: 0.88; CI 0.78-0.9, p=0.03).

Conclusion
Higher median ALCs within the first 3 weeks following BiTE tx in RRMM associate with better clinical responses and increased incidence of CRS, but could not predict improved PFS. Px achieving CR/VGPR experienced a significant delay in ALC recovery post-BiTE initiation vs. those with ≤PR. A delayed time to maximum deltaALC (d1-22) was a protective factor for PFS, suggesting its potential as a predictive marker for treatment outcomes. The immunobiologic mechansisms underlying this protective delayed lymphocyte expansion remain to be elucidated and further research is required to optimize the use of ALC kinetics in guiding clinical decisions in px receiving BiTEs.

Disclosures: Monge: Pfizer: Consultancy; Johnson & Johnson: Consultancy; Janssen: Consultancy. Niesvizky: Takeda: Consultancy, Research Funding; Karyopharm: Consultancy, Research Funding; GSK: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; BMS: Consultancy, Research Funding.

*signifies non-member of ASH