Promising Applications of Tumor Spheroids and Organoids for Personalized Medicine

Zarema Gilazieva1, Aleksei Ponomarev1, Catrin Rutland2

  • 1Institute of Fundamental Medicine and Biology, Kazan Federal University, 420008 Kazan, Russia.

Cancers
|September 26, 2020
PubMed

Insights

Three-dimensional (3D) tumor models like spheroids and organoids offer personalized medicine solutions by enabling patient-specific drug screening and advancing tumor biology understanding. These models are crucial for developing targeted therapies.

Area of Science:

  • Oncology
  • Biotechnology
  • Personalized Medicine

Background:

  • Three-dimensional (3D) tumor models, including spheroids and organoids, are emerging as powerful tools in personalized medicine.
  • These models are derived from patient tumor tissues, offering a more accurate representation of individual tumors compared to traditional 2D cultures.

Purpose of the Study:

  • To review the current state of 3D tumor spheroid and organoid models.
  • To discuss their advantages, disadvantages, and potential applications in personalized medicine.
  • To highlight their role in advancing drug screening and understanding tumor biology.

Main Methods:

  • Review of existing literature on 3D tumor models (spheroids and organoids).
  • Analysis of the benefits and limitations of these models for personalized therapy.
  • Evaluation of their utility in biobanking and high-throughput drug screening.

Main Results:

  • 3D tumor models can be generated from most tumor types, facilitating biobank creation.
  • These models enhance the understanding of tumor biology and the tumor microenvironment.
  • They provide a platform for effective in vitro drug testing and development of novel therapeutic strategies.

Conclusions:

  • 3D tumor models represent a significant advancement in personalized medicine.
  • Their application in drug screening and therapeutic development holds great promise.
  • Continued research into spheroids and organoids will likely accelerate the development of tailored cancer treatments.

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