Cancer Patient-Derived Cell-Based Models: Applications and Challenges in Functional Precision Medicine

Jelena Dinić1, Sofija Jovanović Stojanov1, Miodrag Dragoj1

  • 1Department of Neurobiology, Institute for Biological Research "Siniša Stanković"-National Institute of the Republic of Serbia, University of Belgrade, Bulevar Despota Stefana 142, 11108 Belgrade, Serbia.

Life (Basel, Switzerland)
|September 28, 2024
PubMed

Insights

Functional precision medicine integrates omics and cell sensitivity testing for personalized cancer therapy. This approach enhances treatment strategies beyond genomic targeting, improving outcomes for more patients.

Area of Science:

  • Oncology
  • Precision Medicine
  • Cancer Biology

Background:

  • Personalized cancer therapy has advanced significantly.
  • Functional precision medicine integrates omics profiling and patient-derived cancer cell sensitivity testing.
  • This approach aims to improve treatment outcomes.

Purpose of the Study:

  • To review the evolution of cancer drugs and resistance mechanisms.
  • To analyze the role of functional precision medicine in individualized treatment.
  • To explore the current landscape, limitations, and future of functional precision medicine.

Main Methods:

  • Utilizing two-dimensional (2D) and three-dimensional (3D) cell cultures.
  • Employing patient-derived xenograft (PDX) models.
  • Applying advanced functional assays to understand tumor behavior and drug response.

Main Results:

  • Functional precision medicine platforms are revolutionizing individualized cancer treatment strategies.
  • These platforms offer opportunities for customizing interventions based on patient traits and drug responses.
  • Progress in this field leads to identifying more effective treatments for a broader patient population.

Conclusions:

  • Functional precision medicine provides a powerful alternative to genome-targeted therapies, especially when eligibility is limited.
  • It enables highly customized medical interventions.
  • Continued advancements are crucial for realizing the full potential of personalized cancer therapy.