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Tumor Immunotherapy

Tumor Immunotherapy

Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.

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Updated: Sep 14, 2025

A Spheroid Killing Assay by CAR T Cells

A Spheroid Killing Assay by CAR T Cells

Published on: December 12, 2018

The Potential Use of Digital Twin Technology for Advancing CAR-T Cell Therapy.

Sara Sadat Aghamiri¹, Rada Amin²

¹Center for Brain, Biology and Behavior, University of Nebraska, Lincoln, NE 68503, USA.

Current Issues in Molecular Biology

|July 23, 2025

Summary

Digital Twins offer a new way to improve CAR-T cell therapy for solid tumors. This approach uses patient data to create virtual models, overcoming challenges like tumor evasion and enhancing personalized cancer treatment.

Keywords:

CAR-T cells cancer digital twins immunotherapy tumor antigens tumor microenvironment

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Last Updated: Sep 14, 2025

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A Nonviral Approach to Generate Transient Chimeric Antigen Receptor T Cells Using mRNA for Cancer Immunotherapy

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Published on: February 21, 2025

Area of Science:

Immunotherapy
Computational Biology
Oncology

Background:

Chimeric antigen receptor (CAR)-T cell therapy shows promise for hematologic cancers.
Solid tumors present challenges due to immune evasion, resistance, and immunosuppressive microenvironments.
Advanced predictive models are needed to optimize CAR-T cell therapy for solid tumors.

Purpose of the Study:

To review the concept and development of Digital Twins for CAR-T cell therapy.
To explore parameters essential for CAR-T-specific Digital Twins.
To examine applications and limitations of Digital Twins in CAR-T therapy.

Main Methods:

Definition and development steps of Digital Twins.
Identification of critical parameters for CAR-T-specific Digital Twins.
Review of case studies on Digital Twin applications in CAR-T therapy.

Main Results:

Digital Twins provide virtual representations of therapy-tumor interactions using high-dimensional patient data.
Applications include addressing challenges in CAR-T therapy, clinical trials, and manufacturing.
Limitations in integrating Digital Twins into CAR-T therapy were discussed.

Conclusions:

Digital Twins have the potential to optimize CAR-T cell therapy by enabling precision modeling.
Real-time adaptation through Digital Twins could significantly advance personalized cancer treatment.
Further evolution of Digital Twin technology is expected to redefine CAR-T therapy.