Tumor organoid and tumor-on-a-chip equipped next generation precision medicine

Wentao Zhao1, Zilin Zhang1, Shihui Xu2

  • 1State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, People's Republic of China.

Biofabrication
|September 25, 2025
PubMed

Insights

Organoids and organs-on-chips represent significant advancements in in vitro cancer treatment evaluation. These models are crucial for advancing precision medicine by improving drug screening and patient-specific treatment strategies.

Area of Science:

  • Biomedical Engineering
  • Oncology
  • Regenerative Medicine

Background:

  • Precision medicine in oncology relies heavily on accurate in vitro models for drug screening.
  • Current models often use established cell lines, limiting direct clinical applicability.
  • Organoids and organs-on-chips offer more physiologically relevant alternatives.

Purpose of the Study:

  • To review the applications of various in vitro models in precision oncology.
  • To highlight advancements in patient-derived tumor organoids and tumors-on-chips.
  • To discuss the advantages and limitations of these models in personalized medicine.

Main Methods:

  • Review of existing literature on in vitro cancer models.
  • Discussion of two-dimensional cell culture, patient-derived xenografts, tumor organoids, and tumors-on-chips.
  • Analysis of recent technological integrations and clinical trial successes.

Main Results:

  • Patient-derived tumor organoids show high construction success rates and clinical trial applicability.
  • Tumors-on-chips and organoids-on-chips demonstrate significant recent advancements.
  • Integration with other technologies enhances the capabilities of these models.

Conclusions:

  • Organoids and tumors-on-chips are vital for advancing personalized cancer medicine.
  • These models offer improved drug screening and treatment evaluation compared to traditional methods.
  • Further development is needed to overcome current constraints and maximize clinical impact.

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