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Related Experiment Video

Updated: Jun 27, 2026

MAME Models for 4D Live-cell Imaging of Tumor: Microenvironment Interactions that Impact Malignant Progression
08:26

MAME Models for 4D Live-cell Imaging of Tumor: Microenvironment Interactions that Impact Malignant Progression

Published on: February 17, 2012

Toward More Translational Tumor Models: Breast dECM-Based 3D Systems Capture Native Microenvironmental Cues.

Katherine L Hebert1, Jonathan J Savoie2, Mackenzie L Hawes1

  • 1Tulane Department of Medicine, Section of Hematology & Oncology, Tulane University Health Science Center, New Orleans, LA 70112, USA.

Bioengineering (Basel, Switzerland)
|June 26, 2026
PubMed
Summary

Researchers developed novel 3D breast cancer models using decellularized extracellular matrices (dECM) to better mimic the tumor microenvironment (TME). These dECM models provide crucial biochemical cues, improving the translational potential of aggressive breast cancer research.

Keywords:
3D tumor modelbreast adiposedecellularized tumorextracellular matrixnew approach methodstriple-negative breast cancer

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Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional (3D) Model
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Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional (3D) Model

Published on: June 11, 2014

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Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional (3D) Model
08:08

Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional (3D) Model

Published on: June 11, 2014

Area of Science:

  • Biomaterials Science
  • Cancer Biology
  • Tissue Engineering

Background:

  • Current 3D tumor models for aggressive breast cancers fail to accurately replicate the native tumor microenvironment (TME).
  • This limitation leads to poor translational potential in preclinical research.
  • There is a critical need for advanced models that mimic TME biochemical signals.

Purpose of the Study:

  • To develop novel 3D breast cancer models using decellularized extracellular matrices (dECM).
  • To investigate the impact of breast and tumor-specific dECM on cancer cell behavior and gene expression.
  • To enhance the recapitulation of the TME in 3D breast cancer models.

Main Methods:

  • Decellularization of breast tissue and patient-derived xenograft tumors to obtain dECM.
  • Incorporation of breast dECM into triple-negative breast cancer cell lines to form spheroids at varying concentrations (0-50 µg/mL).
  • Histological analysis, DNA content quantification, and RNA-sequencing to assess ECM integrity, cellular organization, and gene expression changes.

Main Results:

  • Histology confirmed complete cellular removal and ECM retention, with reduced DNA content.
  • Low dECM concentrations (5-10 µg/mL) promoted compact spheroid formation, while higher concentrations (20-50 µg/mL) led to peripheral cell distribution and irregular shapes.
  • RNA-sequencing revealed that dECM composition influenced gene expression; tumor dECM upregulated metastasis-associated genes, while breast dECM enhanced tumor suppressors and anti-metastasis genes.

Conclusions:

  • Decellularized extracellular matrices (dECM) can be successfully produced from breast tissue and tumors, retaining key ECM components.
  • dECM incorporation into 3D breast cancer models provides critical physiological cues that influence cell morphology and gene expression.
  • These dECM-based 3D models offer a more accurate representation of the TME, holding promise for improved breast cancer research and drug development.