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Updated: Feb 4, 2026

A Melanoma Patient-Derived Xenograft Model
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Development of Patient-Derived Tumor Xenograft Models

Daniela Annibali1, Eleonora Leucci2,3, Els Hermans2,4

  • 1Gynecological Oncology, Oncology Department, LKI Leuven Cancer Institute KU Leuven-University of Leuven, Leuven, Belgium.

Methods in Molecular Biology (Clifton, N.J.)
|October 14, 2018
PubMed

Insights

Patient-derived xenograft (PDX) models preserve tumor heterogeneity, improving cancer drug development. This study details methods for establishing PDX models from endometrial and pancreatic cancers for better preclinical research.

Area of Science:

  • Oncology
  • Translational Research
  • Cancer Biology

Background:

  • Preclinical cancer models often fail to predict clinical outcomes due to a lack of tumor heterogeneity.
  • Traditional cell cultures deviate significantly from original patient tumors and cannot model organism-wide responses.
  • Patient-derived xenograft (PDX) models offer a solution by preserving tumor heterogeneity and providing predictive therapeutic value.

Purpose of the Study:

  • To establish and validate patient-derived xenograft (PDX) models for cancer research.
  • To provide detailed methodologies for creating PDX models from diverse solid tumor types.
  • To enhance the reliability of preclinical cancer drug testing.

Main Methods:

  • Development of standardized protocols for establishing PDX models.
  • Implantation of fresh tumor tissues from patients into immunocompromised mice.
  • Utilizing both surgical tumor fragments (endometrial cancer) and fine-needle aspirates (pancreatic cancer) for PDX generation.

Main Results:

  • Successful establishment of PDX models from endometrial and pancreatic cancer samples.
  • Demonstration of PDX model capability to maintain original tumor heterogeneity.
  • Validation of PDX models as a tool for preclinical cancer therapy assessment.

Conclusions:

  • PDX models are crucial for overcoming limitations of traditional preclinical cancer research.
  • The described methods facilitate the generation of reliable PDX models for various cancer types.
  • PDX models represent a significant advancement in predicting drug efficacy in cancer patients.
Keywords:
In vivoPDXTumor modelsXenografts

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