Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Ordinary Differential Equation Models for Adoptive Immunotherapy.

Anne Talkington1, Claudia Dantoin2, Rick Durrett3

  • 1Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, USA.

Bulletin of Mathematical Biology
|April 7, 2017
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hypoxia-induced histone methylation and NF-κB activation in pancreas cancer fibroblasts promote EMT-supportive growth factor secretion.

bioRxiv : the preprint server for biology·2025
Same author

Free PEG Suppresses Anaphylaxis to PEGylated Nanomedicine in Swine.

ACS nano·2024
Same author

Development of anti-PEG IgG/IgM/IgE ELISA assays for profiling anti-PEG immunoglobulin response in PEG-sensitized individuals and patients with alpha-gal allergy.

Journal of controlled release : official journal of the Controlled Release Society·2024
Same author

Pegloticase co-administered with high MW polyethylene glycol effectively reduces PEG-immunogenicity and restores prolonged circulation in mouse.

Acta biomaterialia·2023
Same author

Competitive exclusion in a model with seasonality: Three species cannot coexist in an ecosystem with two seasons.

Theoretical population biology·2022
Same author

Regulation of metabolic health by dietary histidine in mice.

The Journal of physiology·2022
Same journal

Mathematical Modeling Shows that Overall Infection Burden is Reduced More by Vaccines that Decrease Spread or Accelerate Recovery than those that Lower Severe Infections or Death.

Bulletin of mathematical biology·2026
Same journal

Effects of Seasonal Births and Predation on Disease Spread.

Bulletin of mathematical biology·2026
Same journal

Identifiability, Sensitivity, and Genetic Algorithms in Bacterial Biofilm Selection Models.

Bulletin of mathematical biology·2026
Same journal

Slow Evolution Towards Generalism in a Model of Variable Dietary Range.

Bulletin of mathematical biology·2026
Same journal

CBINN: Cancer Biology-Informed Neural Network for Unknown Parameter Estimation and Missing Physics Identification.

Bulletin of mathematical biology·2026
Same journal

A Cost-Sensitive Behavioral Modeling Analysis of the Early Identification and Control of Infectious Diseases.

Bulletin of mathematical biology·2026
See all related articles

Engineered T cells targeting CD19 show success in treating acute lymphocytic leukemias. Mathematical models predict this adoptive immunotherapy can effectively eliminate tumors, moving patients to a state of remission.

Area of Science:

  • Immunology
  • Mathematical Biology
  • Oncology

Background:

  • Chimeric antigen receptor (CAR) T cell therapy, specifically targeting CD19, is a promising treatment for acute lymphocytic leukemias.
  • Mathematical modeling is crucial for understanding the dynamics of CAR T cell therapy and predicting treatment outcomes.
  • Previous models using ordinary differential equations (ODEs) have explored CAR T cell therapy dynamics.

Purpose of the Study:

  • To review and compare four existing ODE models of CD19-targeted CAR T cell therapy.
  • To identify deficiencies in current models and propose modifications for improved accuracy.
  • To analyze the predictive capabilities of these models regarding therapeutic success.

Main Methods:

  • Exploration and comparative analysis of four distinct ODE models for CAR T cell therapy.
Keywords:
Acute lymphoblastic leukemiaChimeric antigen receptor T cellsODE modelsSaturating responseStability analysis

Related Experiment Videos

  • Identification of key assumptions and differences in how each model represents immune system components.
  • Modification of existing models to address identified limitations and enhance predictive power.

    • Main Results:

    • All four models, despite variations in immune system representation, predict the efficacy of adoptive immunotherapy.
    • The models consistently indicate that CAR T cell therapy can shift patients from a high tumor burden state to an equilibrium with minimal or absent tumor cells.
    • Comparison revealed differing strengths and weaknesses in the existing modeling approaches.

    Conclusions:

    • Mathematical models are valuable tools for predicting the success of CD19-targeted CAR T cell therapy.
    • Adoptive immunotherapy demonstrates potential for achieving durable remission in acute lymphocytic leukemias.
    • Further refinement of mathematical models can improve our understanding and optimization of CAR T cell therapies.