Clinical Scores to Predict Toxicities and Outcomes in Patients with Multiple Myeloma Undergoing Bispecific T-cell Engager Therapy

医学 多发性骨髓瘤 内科学 肿瘤科 危险分层 比例危险模型 总体生存率 队列 毒性 临床试验 化疗 风险评估
作者
Jan Hendrik Frenking,Christine Riedhammer,Thomas Hielscher,Christoph Schaefers,Lisa Leypoldt,Marie Harzer,David Sedloev,Valentine Landrin,Niklas Kehl,Mirco Friedrich,Xiang Zhou,Maximilian Steinhardt,Philipp Weis,Julia Mersi,Johannes M. Waldschmidt,Niels Weinhold,K Martin Kortüm,Carsten Müller-Tidow,Hermann Einsele,Sandra Sauer
出处
期刊:Blood cancer discovery [American Association for Cancer Research]
卷期号:7 (3): 479-495 被引量:1
标识
DOI:10.1158/2643-3230.bcd-25-0062
摘要

The significant clinical benefit of bispecific T-cell engagers (TCE) for the treatment of relapsed/refractory multiple myeloma (RRMM) may be offset by serious toxicities and treatment failure. Risk scores such as the CAR-HEMATOTOX (HTX), Endothelial Activation and Stress Index (EASIX), and modified EASIX (m-EASIX) can identify patients at risk for complications before chimeric antigen receptor (CAR) T-cell therapy, but their utility prior to TCE therapy remains elusive. We analyzed associations with outcomes and toxicities in independent discovery (n = 123) and validation (n = 155) cohorts treated with TCEs. Patients with HTX ≥3 or m-EASIX > median (>0.86) had a significantly increased risk of prolonged hospitalization, antibiotic treatment, and fever during step-up dosing. We also observed associations with cytopenias requiring therapeutic intervention, higher severe infection and intervention densities, as well as inferior response rates and reduced progression-free and overall survival. Our findings highlight the potential of these clinical scores to improve risk stratification before TCE therapy. SIGNIFICANCE: Scores such as HTX, EASIX, and m-EASIX have emerged as helpful tools to enable risk stratification before CAR T-cell therapy. In this study, we demonstrate their utility in patients with RRMM receiving TCEs. HTX ≥3 and m-EASIX > median (>0.86) proved to be risk markers for infections, therapeutic interventions, and poor outcomes. See related commentary by Banerjee and Dhodapkar, p. 345.
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