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 Video

Updated: May 25, 2026

Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

A hybrid multiscale model for predicting CAR-T therapy outcomes in solid tumors.

Mohammad R Nikmaneshi1, Lance L Munn2

  • 1Edwin L. Steele Laboratories, Department of Radiation Oncology, Harvard Medical School and Massachusetts General Hospital, Boston, MA, 02114, USA.

Scientific Reports
|May 23, 2026
PubMed
Summary

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

Immortalized smooth muscle cells enhance in vitro vasculogenesis.

Research square·2026
Same author

Immortalized smooth muscle cells enhance in vitro vasculogenesis.

bioRxiv : the preprint server for biology·2026
Same author

Macrophages recruited by implanted fibrin gels promote regeneration of injured lymphatic vessels.

Scientific reports·2026
Same author

Volumetric mechanoplasticity couples melanoma drug tolerance to susceptibility to CD8<sup>+</sup> T cell killing.

bioRxiv : the preprint server for biology·2026
Same author

Overcoming impaired antigen presentation in tumor-draining lymph nodes facilitates immunotherapy.

Journal for immunotherapy of cancer·2025
Same author

Efficient calculation of fluid transport in porous media with moving boundaries.

bioRxiv : the preprint server for biology·2025

Understanding tumor microenvironment barriers is key for effective CAR-T cell immunotherapy. Our model shows collagen density and metabolic competition significantly impact T cell infiltration and tumor response.

Area of Science:

  • Immunology
  • Biomedical Engineering
  • Computational Biology

Background:

  • Tumor hotness, or T cell distribution within tumors, is crucial for immunotherapy success.
  • Current strategies to enhance T cell accumulation face limitations due to poor understanding of T cell-microenvironment interactions.

Purpose of the Study:

  • To develop a mechanistic physiological model of the 3D tumor microenvironment (TME).
  • To evaluate CAR-T cell performance under varying environmental conditions and infusion strategies.

Main Methods:

  • Integrated key vascular (rolling, adhesion, endothelial suppression) and interstitial (ECM density, metabolic competition, chemokine sensitivity) barriers into a 3D TME model.
  • Simulated CAR-T cell performance across different environmental fluctuations and infusion strategies.

More Related Videos

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

Related Experiment Videos

Last Updated: May 25, 2026

Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

Main Results:

  • Collagen density and metabolic competition were identified as dominant factors limiting CAR-T efficacy.
  • Enhanced vascular rolling and adhesion improved infiltration but were constrained by collagen and metabolism.
  • Endothelial suppression significantly reduced tumor hotness, while its alleviation improved response.
  • Systemic infusion led to higher tumor hotness than intratumoral delivery.

Conclusions:

  • Alleviating barriers like collagen density and metabolic competition can restore CAR-T efficacy.
  • Combined infusion routes or reduced collagen density can overcome limitations in dense tumors.
  • The developed mechanistic framework allows for rational optimization of CAR-T cell strategies.