ArticleNPJ systems biology and applications2024
Mathematical modeling insights into improving CAR T cell therapy for solid tumors with bystander effects.
Article in NPJ systems biology and applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Multiscale modeling reveals synergy between CCL19 and PD-1 blockade in reshaping the TNBC microenvironment.NPJ systems biology and applications · 2026Article
- Endogenous immune recruitment in glioblastoma CAR T therapy: cytokine, myeloid, and chemokine circuitry.Journal of neuro-oncology · 2026Review
- Mathematical modeling of combinatorial antigen targeting with multiple CAR T-cell products for glioblastoma treatment.NPJ systems biology and applications · 2026Article
- Challenges and strategies in clinical applications of CAR-T therapy for autoimmune diseases.Journal of hematology & oncology · 2025Review
- Spatiotemporal dynamics of tumor-CAR T-cell interaction following local administration in solid cancers.PLoS computational biology · 2025Article
- Quantitative cancer-immunity cycle modeling for predicting disease progression in advanced metastatic colorectal cancer.NPJ systems biology and applications · 2025Article
- Computational modelling of CAR T-cell therapy: from cellular kinetics to patient-level predictions.EBioMedicine · 2025Review
- Phosphatidylserine as a tumor target for CAR-T cell therapy.Journal for immunotherapy of cancer · 2025Article
- Revolutionizing Immunotherapy: Unveiling New Horizons, Confronting Challenges, and Navigating Therapeutic Frontiers in CAR-T Cell-Based Gene Therapies.ImmunoTargets and therapy · 2024Review
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As an adoptive cellular therapy, Chimeric Antigen Receptor T cell (CAR T cell) therapy has shown remarkable success in hematological malignancies but only limited efficacy against solid tumors. Compared with blood cancers, solid tumors present a series of challenges that ultimately combine to neutralize the function of CAR T cells. These challenges include, but are not limited to, antigen heterogeneity - variability in the expression of the antigen on tumor cells, as well as trafficking and infiltration into the solid tumor tissue. A critical question for solving the heterogeneity problem is whether CAR T therapy induces bystander effects, such as antigen spreading. Antigen spreading occurs when CAR T cells activate other endogenous antitumor CD8 T cells against antigens that were not originally targeted. In this work, we develop a mathematical model of CAR T cell therapy for solid tumors that considers both antigen heterogeneity and bystander effects. Our model is based on in vivo treatment data that includes a mixture of target antigen-positive and target antigen-negative tumor cells. We use our model to simulate large cohorts of virtual patients to better understand the relationship involving bystander killing. We also investigate several strategies for enhancing bystander effects, thus increasing CAR T cell therapy's overall efficacy for solid tumors.
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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.