Advances in the application of 3D tumor models in precision oncology and drug screening

Xiaoyong Guan1, Shigao Huang2

  • 1Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi University of Science and Technology, Liuzhou, Guangxi, China.

Insights

Three-dimensional (3D) tumor models, including organoids, offer advanced in vitro systems that better mimic in vivo conditions. These models enhance preclinical research, drug development, and personalized cancer therapies.

Area of Science:

  • Oncology
  • Biotechnology
  • Regenerative Medicine

Background:

  • Traditional in vitro tumor models fail to replicate in vivo tumor complexity, leading to clinical trial failures.
  • Three-dimensional (3D) tumor models, such as organoids, bridge the gap between in vitro and in vivo research.
  • Organoids retain original tissue properties during long-term culture, enabling extensive investigation.

Purpose of the Study:

  • To summarize 3D tumor models, including cell culture, slice, and organoid models.
  • To review the application of 3D tumor organoid models in precision oncology and drug screening.
  • To elucidate the value of 3D tumor models in cancer research and provide preclinical references for precise cancer treatment.

Main Methods:

  • Review of 3D tumor cell culture models.
  • Analysis of 3D tumor slice models.
  • Examination of organoid culture models and their applications.

Main Results:

  • 3D tumor models offer improved simulation of in vivo tumor environments compared to traditional models.
  • Organoids derived from patient tissues show promise for clinical drug development and personalized therapies.
  • 3D models serve as platforms for high-throughput screening, drug testing, and disease modeling.

Conclusions:

  • 3D tumor models, particularly organoids, are valuable tools in cancer research.
  • These models facilitate drug development, toxicity testing, and the advancement of precision oncology.
  • 3D organoid models provide a preclinical reference for guiding individualized cancer patient treatment.

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