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Related Experiment Video

Updated: May 3, 2026

Generation of 3D Tumor Spheroids for Drug Evaluation Studies
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Physiologically relevant 3D tumor models for therapeutic screening.

Renjian Xie1, Jianqiong Yang1, Xiaolu Lu1

  • 1Key Laboratory of Prevention and Treatment of Cardiovascular and Cerebrovascular Disease (Ministry of Education), School of Medical and Information Engineering, Gannan Medical University, Ganzhou, Jiangxi, 341000, China; Jiangxi Provincial Key Laboratory of Tissue Engineering, Gannan Medical University, Ganzhou, Jiangxi, 341000, China.

Biomaterials
|May 1, 2026
PubMed
Summary

Patient-derived 3D tumor models offer a more accurate preclinical platform. These advanced models improve anti-cancer drug screening, reduce development failures, and accelerate cancer therapy discovery.

Keywords:
BiofabricationDrug-screeningIn-vitro modelsTumor microenvironment

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Area of Science:

  • Oncology
  • Biotechnology
  • Drug Discovery

Background:

  • Tumor microenvironment heterogeneity challenges anti-cancer drug efficacy.
  • Traditional in vitro models fail to replicate native tumor complexity, leading to poor clinical translation.
  • There is a critical need for advanced models to understand and overcome tumor drug resistance.

Purpose of the Study:

  • To review the link between tumor microenvironment complexity and drug resistance.
  • To introduce biofabrication techniques for creating advanced 3D tumor models.
  • To explore the applications of these models in cancer research and drug development.

Main Methods:

  • Review of current literature on tumor microenvironment, drug resistance, and 3D tumor models.
  • Discussion of biofabrication techniques including spheroids, organoids, tumor-on-a-chip, and 3D bioprinting.
  • Exploration of applications across various cancer indications.

Main Results:

  • Patient-derived 3D models (spheroids, organoids, tumor-on-a-chip, 3D bioprinting) better mimic tumor complexity.
  • These advanced models enhance the predictive power of anti-cancer drug screening.
  • 3D models show potential for improving translational accuracy and reducing drug development failures.

Conclusions:

  • Advanced 3D tumor models are crucial for understanding drug resistance.
  • Biofabrication techniques enable the creation of more physiologically relevant in vitro tumor models.
  • These models promise to accelerate the discovery and development of effective cancer therapies.