Comparison of 2D- and 3D-culture models as drug-testing platforms in breast cancer

Yoshinori Imamura1, Toru Mukohara1, Yohei Shimono1

  • 1Division of Medical Oncology/Hematology, Department of Medicine, Kobe University Graduate School of Medicine, Kobe, Hyogo, Japan.

Oncology Reports
|January 31, 2015
PubMed

Insights

Three-dimensional (3D) cell cultures better mimic the in vivo tumor microenvironment than 2D cultures, showing increased drug resistance due to hypoxia and dormancy. This highlights 3D models

Area of Science:

  • Oncology
  • Cell Biology
  • Drug Discovery

Background:

  • Two-dimensional (2D) cell cultures are limited in accurately predicting oncology drug efficacy.
  • Three-dimensional (3D) culture systems offer a more relevant model of the in vivo tumor microenvironment.
  • Understanding differential drug effects in 2D vs. 3D cultures is crucial for improving cancer therapy selection.

Purpose of the Study:

  • To investigate the distinct responses of breast cancer cells to chemotherapeutic drugs in 2D and 3D culture systems.
  • To elucidate the underlying mechanisms contributing to observed differences in drug sensitivity and resistance.
  • To compare 3D-cultured cells with patient-derived xenografts and original tumors for in vivo relevance.

Main Methods:

  • Cultured three breast cancer cell lines (BT-549, BT-474, T-47D) in both 2D and 3D formats.
  • Assessed drug sensitivity to paclitaxel and doxorubicin, alongside oxygen status, Ki-67, and caspase expression.
  • Compared 2D and 3D primary cultures from patient-derived xenografts (PDX) and patient tumors.

Main Results:

  • Dense 3D multicellular spheroids (MCSs) exhibited greater resistance to paclitaxel and doxorubicin than 2D cultures.
  • Hypoxia, increased G0-dormancy (Ki-67), and anti-apoptotic features (caspase-3) were observed in dense 3D MCSs.
  • 3D primary cultures showed characteristics more aligned with in vivo tumors than 2D cultures.

Conclusions:

  • Dense 3D-cultured cells, particularly those forming MCSs, provide a more accurate simulation of in vivo tumor characteristics.
  • 3D culture models reveal mechanisms of drug resistance, including hypoxia, dormancy, and anti-apoptotic effects.
  • The findings support the use of 3D culture systems for more precise oncology drug screening and development.

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