Human tumor xenograft models for preclinical assessment of anticancer drug development

Joohee Jung1

  • 1College of Pharmacy, Duksung Women's University, Seoul, Korea.

Insights

Xenograft models are crucial for testing new anticancer drugs, offering cost-effective evaluation and predicting cancer progression. Patient-derived xenografts advance personalized medicine by mimicking patient physiology.

Area of Science:

  • Oncology
  • Preclinical Research
  • Drug Discovery

Background:

  • Xenograft models are vital tools in oncology for evaluating novel anticancer agents.
  • These models, including ectopic and orthotopic xenografts, assess therapeutic efficacy and toxicity.
  • Metastasis models aid in predicting cancer progression.

Purpose of the Study:

  • To introduce the current strategy for utilizing xenograft models in anticancer drug discovery.
  • To highlight the role of xenografts in screening and evaluating new therapeutic candidates.
  • To discuss the evolution towards patient-derived xenografts for personalized medicine.

Main Methods:

  • Classification of xenograft models based on transplant site (ectopic, orthotopic).
  • Development of metastasis models for cancer progression evaluation.
  • Establishment of patient-derived tumor xenografts (PDTX) for personalized approaches.

Main Results:

  • Standard xenograft models streamline drug discovery, saving time and resources.
  • PDTX models offer enhanced physiological relevance, mirroring patient conditions.
  • Xenografts provide critical data supporting the progression to clinical trials.

Conclusions:

  • Xenograft models remain indispensable in the preclinical evaluation of anticancer drugs.
  • Patient-derived xenografts represent a significant advancement for personalized cancer therapy.
  • Strategic use of xenografts accelerates the development of effective cancer treatments.