Application of Cancer Organoid Model for Drug Screening and Personalized Therapy

Jumpei Kondo1, Masahiro Inoue2

  • 1Department of Clinical Bio-resource Research and Development, Graduate School of Medicine Kyoto University, Kyoto 606-8501, Japan. kondo.jumpei.2n@kyoto-u.ac.jp.

Cells
|May 22, 2019
PubMed

Insights

Cancer organoids offer a more physiologically relevant model for drug screening compared to traditional 2D cell lines. This approach aids in understanding cancer heterogeneity and advancing precision medicine.

Area of Science:

  • Oncology
  • Drug Discovery
  • Translational Medicine

Background:

  • Intertumoral heterogeneity presents a significant challenge in developing standardized cancer treatments.
  • Conventional 2D cell lines lack the physiological relevance needed for effective drug screening.
  • Improved cancer models are crucial for evaluating drug efficacy and understanding disease complexity.

Purpose of the Study:

  • To review recent advancements in experimental cancer models for drug screening.
  • To highlight the potential of cancer organoids as superior disease models.
  • To discuss the application of cancer organoids in studying heterogeneity and enabling precision medicine.

Main Methods:

  • Review of current literature on experimental cancer models.
  • Focus on cancer organoid technology for drug screening.
  • Analysis of organoid utility in assessing intertumor and intratumor heterogeneity.

Main Results:

  • Cancer organoids demonstrate greater physiological and clinical relevance than 2D cell lines for drug screening.
  • Organoids effectively model both intertumor and intratumor heterogeneity.
  • Emerging evidence supports the clinical application of organoids for personalized cancer therapy.

Conclusions:

  • Cancer organoids represent a promising advancement over traditional models for drug discovery and development.
  • Organoid technology facilitates a deeper understanding of cancer heterogeneity.
  • The clinical implementation of cancer organoids is key to achieving precision medicine in oncology.

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