ArticleFrontiers in oncology2022
Computational Analysis of Cytokine Release Following Bispecific T-Cell Engager Therapy: Applications of a Logic-Based Model.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Physiologically based pharmacokinetic modeling of mRNA therapeutics: A multiscale framework for LNP and antibody trafficking in mice.Molecular therapy. Nucleic acids · 2026Article
- Foundational Principles for the Quantitative Translation of T-Cell Therapeutics for Hematologic Malignancies and Immunology.Clinical pharmacology and therapeutics · 2026Review
- Nanocarrier-based immunotherapy for viral diseases.International journal of pharmaceutics: X · 2025Review
- A multiscale physiologically based pharmacokinetic model to support mRNA-encoded BiTE therapy in cancer treatment.Molecular therapy. Nucleic acids · 2025Article
- Leveraging quantitative systems pharmacology modeling for elranatamab regimen optimization in relapsed or refractory multiple myeloma.NPJ systems biology and applications · 2025Article
- Immune-related adverse events of antibody-based biological medicines in cancer therapy.Journal of cellular and molecular medicine · 2024Review
- Current advances in experimental and computational approaches to enhance CAR T cell manufacturing protocols and improve clinical efficacy.Frontiers in molecular medicine · 2024Review
- Review
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bispecific T-cell engaging therapies harness the immune system to elicit an effective anticancer response. Modulating the immune activation avoiding potential adverse effects such as cytokine release syndrome (CRS) is a critical aspect to realizing the full potential of this therapy. The use of suitable exogenous intervention strategies to mitigate the CRS risk without compromising the antitumoral capability of bispecific antibody treatment is crucial. To this end, computational approaches can be instrumental to systematically exploring the effects of combining bispecific antibodies with CRS intervention strategies. Here, we employ a logical model to describe the action of bispecific antibodies and the complex interplay of various immune system components and use it to perform simulation experiments to improve the understanding of the factors affecting CRS. We performed a sensitivity analysis to identify the comedications that could ameliorate CRS without impairing tumor clearance. Our results agree with publicly available experimental data suggesting anti-TNF and anti-IL6 as possible co-treatments. Furthermore, we suggest anti-IFNγ as a suitable candidate for clinical studies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.