Session: 651. Multiple Myeloma and Plasma Cell Dyscrasias: Basic and Translational: Poster I
Hematology Disease Topics & Pathways:
Research, Biological therapies, Translational Research, Bispecific Antibody Therapy, Plasma Cell Disorders, drug development, Diseases, Therapies, Immunotherapy, therapy sequence, Lymphoid Malignancies, Adverse Events
Methods: We longitudinally biobanked peripheral blood samples of 19 patients of whom 7 switched from a weekly (q1w) to a monthly (q4w) BsAb treatment schedule. Peripheral blood mononuclear cells (PBMCs) were analysed using 16-color flow cytometry, including T-cell subset phenotyping and the exhaustion marker PD1, TIM3, SLAMF6 and KLRG1. Furthermore, CITEseq, scTCRseq, and Seahorse metabolic studies were performed on selected patients.
Results: The enrolled patients were heavily pretreated with a median number of 6 prior therapy lines. All patients responded to BCMA BsAb with VGPR or better and were on treatment for >3 month. Only one patient from the q4w cohort relapsed during the study period. High-risk cytogenetics, lines of previous therapy, and penta-refractory disease status were equally distributed between patients on weekly and monthly schedule. Infectious complications occurred in 10/19 (q1w) (52.6%) and 1/7 patients (q4w) (14.2%).
First, we addressed the question if a monthly treatment schedule confers less T-cell exhaustion by comparing PD-1 checkpoint expression and T-cell subsets between q1w and q4w administration. Indeed, flow cytometry showed a significant decrease in the CD4+PD1+ (36.9 vs. 21.1% p<0.05, unpaired t-test) and in the CD8+PD1+ (29.44 vs. 16.54% p<0.05) T cells. We also observed a decrease in the frequency of the effector memory subsets (CD45RA-, CD62L-, TEM) of CD4+ (66.19 vs. 49.63% p<0.05) and CD8+ (53.7 vs. 40.32% p=0.09), further supporting a concept in which a treatment free interval leads to recovery of the T-cell system.
We also had access to paired samples of five patients who switched from q1w (1st sample) to q4w dosing (2nd sample). Here, flow cytometry showed a decrease of exhausted CD4+PD1+ T cells (33.68 vs. 21.76% p=0.046, paired t-test) and CD8+PD1+ T cells (29.2% vs. 15.1% p=0.117), confirming our cross-sectional analysis. Likewise, expression of SLAMF6, a regulator of T cell exhaustion, also decreased from weekly to monthly schedule (SLAMF6/CD4+:20.7 vs. 15.2% p=0.06; and CD8+:17.8 vs. 11.3% p=0.1), but differences were not statistically significant probably due to sample size. Our analysis on T-cell metabolism did not reveal significant differences between weekly and monthly dosing schedules.
After strict quality control, three of the paired samples were further analysed using CITE-seq and scTCRseq. In line with our flow results, patients showed a significant decrease in CD8+ pre-exhausted T-cell subset (CD8+TCF-1+CD27+) (3.55 vs. 1.54% p=0.02) and CD8+ terminal differentiated effector memory T-cells (CD8+ TEMRA) (4.66 vs. 3.57% p=0.04) from weekly to monthly schedules, again suggesting recovery of the T-cells after a longer treatment-free interval. We also observed a trend towards decrease in the CD4+ effector memory subset (CD4+TEM, 6.96 vs. 4.89% p=0.07). Interestingly, the number of hyper-expanded T cell clonotypes increased from weekly to monthly dosing in paired samples. This was somewhat unexpected but expansion could be interpreted as reactivation of a few previously exhausted T cells.
Conclusions: The optimal dosing schedule of bispecific antibodies has yet to be determined. Our results support a more extended dose schedule to allow T-cell-recovery between BsAb administrations. Whether such a strategy will result in higher antitumor efficacy or reduced susceptibility to infections, has to be evaluated in future studies.
Disclosures: Duell: MorphoSys AG, Regeneron: Research Funding. Waldschmidt: Oncopeptides: Consultancy; Pfizer: Consultancy; Janssen: Consultancy; Sanofi: Consultancy; Takeda: Consultancy; Bristol Myers Squibb: Research Funding; Pharmamar: Consultancy; Skyline Diagnostics: Consultancy, Research Funding; abc biopply: Consultancy. Einsele: Janssen: Honoraria, Other: Consulting or advisory role, Travel support, Research Funding; Takeda: Honoraria, Other: Consulting or advisory role, Travel support, Research Funding; GlaxoSmithKline: Honoraria, Other: Consulting or advisory role, Travel support, Research Funding; Amgen: Honoraria, Other: Consulting or advisory role, Travel support, Research Funding; Sanofi: Honoraria, Other: Consulting or advisory role, Travel support, Research Funding; Novartis: Honoraria, Other: Consulting or advisory role, Travel support; Bristol Myers Squibb/Celgene: Honoraria, Other: Consulting or advisory role, Travel support, Research Funding. Kortüm: BMS: Honoraria; GSK: Honoraria; Abbvie: Honoraria; Janssen: Honoraria; Takeda: Honoraria; Pfizer: Honoraria. Rasche: Janssen: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Skyline Dx: Research Funding; GSK: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Research Funding; Roche: Honoraria; Amgen: Consultancy.
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