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Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments

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Drug-loaded nanoparticles for cancer therapy: A high-throughput multicellular agent-based modeling study.

Yafei Wang¹, John Metzcar¹, Elmar Bucher¹

¹Department of Intelligent Systems Engineering, Indiana University, Bloomington, Indiana, 47408, USA.

Journal of Theoretical Biology

|September 20, 2025

Summary

Nanoparticle (NP) drug delivery for cancer treatment can be improved by designing heritable NPs. This strategy enhances therapeutic response by ensuring sustained drug delivery through cell division, optimizing nanotherapy design.

Keywords:

Agent-based modeling Anticancer drug-loaded nanoparticles Cancer nanotherapy Nanoparticle inheritance

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Evaluation of Nanoparticle Uptake in Tumors in Real Time Using Intravital Imaging

Evaluation of Nanoparticle Uptake in Tumors in Real Time Using Intravital Imaging

Published on: June 21, 2011

Area of Science:

Biomedical Engineering
Computational Biology
Nanomedicine

Background:

Engineered nanomaterials offer promising applications in medicine, particularly for cancer diagnosis and treatment.
The complex biology of cancer across multiple scales presents challenges for nanotherapy effectiveness.
Existing models often overlook individual cell-nanoparticle interactions, limiting optimization.

Purpose of the Study:

To develop a multicellular agent-based model for simulating cancer nanotherapy.
To explore the impact of nanoparticle (NP) parameters and therapeutic strategies on tumor growth.
To investigate the role of NP inheritance during cell division in treatment efficacy.

Main Methods:

Developed a multicellular agent-based model simulating NP internalization, drug release, and cell division.
Utilized a large-scale parallel computational framework for simulations.
Investigated the influence of pharmacokinetic parameters (e.g., internalization, decay, release rates) and therapeutic strategies (e.g., dose, frequency).

Main Results:

NP inheritance at cell division can improve outcomes for cytotoxic chemotherapy.
Smaller doses of cytostatic chemotherapy may enhance tumor growth inhibition when cell division is not fully suppressed.
Heritable NPs enable sustained therapeutic responses, suggesting new nanotherapy design dimensions.

Conclusions:

Simulations highlight the importance of NP inheritance in enhancing cancer nanotherapy.
Heritable nanoparticles offer a novel approach for sustained and effective drug delivery.
This model provides insights for optimizing nanotherapy design for improved patient outcomes.