ArticleClinical pharmacology and therapeutics2025
A Novel Two-Part Mixture Model for the Incidence and Time Course of Cytokine Release Syndrome After Elranatamab Dosing in Multiple Myeloma Patients.
Article in Clinical pharmacology and therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Dose Optimization of Elranatamab to Mitigate the Risk of Cytokine Release Syndrome in Patients with Multiple Myeloma.Targeted oncology · 2025Trial
- Elranatamab Population Pharmacokinetics and Exposure-Response for Cytokine Release Syndrome in Patients with Relapsed or Refractory Multiple Myeloma.Clinical pharmacokinetics · 2026Article
- Elranatamab: Mechanism of Action, Clinical, and Translational Science.Clinical and translational science · 2026Review
- Foundational Principles for the Quantitative Translation of T-Cell Therapeutics for Hematologic Malignancies and Immunology.Clinical pharmacology and therapeutics · 2026Review
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cytokine release syndrome (CRS) is a common, acute adverse event associated with T-cell redirecting therapies such as bispecific antibodies (BsAbs). The nature of CRS events data makes it challenging to capture an unbiased exposure-response relationship with commonly used models. For example, simple logistic regression models cannot handle traditional time-varying exposure, and static exposure metrics chosen at early time points and with lower priming doses may underestimate the incidence of CRS. Therefore, more advanced modeling techniques are needed to adequately describe the time course of BsAb-induced CRS. Herein, we present a two-part mixture model that describes the population incidence and time course of CRS following various dose-priming regimens of elranatamab, a humanized BsAb that targets the B-cell maturation antigen on myeloma cells and CD3 on T cells, where the conditional time-evolution of CRS was described with a two-state (i.e., CRS-yes or no) Markov model. In the first part, increasing elranatamab exposure (maximum elranatamab concentration at first CRS event time (C
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