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Longitudinal Measurement of Extracellular Matrix Rigidity in 3D Tumor Models Using Particle-tracking Microrheology
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Biomechanical 3D tumor models on a micro-milled high-throughput force sensor array.

Bashar Emon1, Ahmadreza Kashefi1, Md Habibur Rahman1

  • 1Department of Mechanical Science and Engineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, United States of America.

Biofabrication
|March 17, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a 3D tumor model with biomechanical sensors to better predict drug response. This advanced model offers a more accurate preclinical testing tool for cancer therapies.

Keywords:
3D tumorbiomechanicscancerforce sensorhigh-throughputstiffness

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Area of Science:

  • Oncology
  • Biomedical Engineering
  • Biophysics

Background:

  • The tumor microenvironment significantly impacts drug resistance and therapeutic outcomes.
  • Traditional 2D cell cultures do not accurately represent the complex in vivo tumor environment.
  • Key factors like extracellular matrix mechanics and cell communication are crucial but poorly modeled in 2D.

Purpose of the Study:

  • To develop and validate a novel 3D tumor model integrated with biomechanical sensors.
  • To enable simultaneous measurement of cellular forces and extracellular matrix remodeling in a physiologically relevant context.
  • To compare drug responses in the 3D model versus traditional 2D cultures for improved preclinical drug testing.

Main Methods:

  • Fabrication of a scalable 3D tumor model using micro-milling techniques.
  • Integration of a high-throughput biomechanical sensor array for force and stiffness measurements.
  • Culturing of patient-derived pancreatic ductal adenocarcinoma organoids with cancer cells and fibroblasts.

Main Results:

  • The 3D model successfully characterized evolving biophysical properties (force, stiffness) of tumor constructs.
  • Evaluated responses of 3D tumors to gemcitabine and all-trans retinoic acid (ATRA).
  • Demonstrated significant differences in drug response between 3D and 2D culture models.

Conclusions:

  • The developed 3D tumor model provides a more physiologically relevant platform for studying drug resistance.
  • This biomechanically integrated model enhances preclinical drug testing accuracy.
  • The platform holds potential for advancing personalized medicine approaches in cancer treatment.