A Genomically and Clinically Annotated Patient-Derived Xenograft Resource for Preclinical Research in Non-Small Cell

Xing Yi Woo1, Anuj Srivastava1, Philip C Mack2

  • 1The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.

Cancer Research
|September 7, 2022
PubMed

Insights

A repository of 79 lung cancer patient-derived xenografts (PDXs) offers a valuable preclinical platform. These extensively characterized models, including non-small cell lung cancer subtypes, retain patient tumor features for drug efficacy testing.

Area of Science:

  • Oncology
  • Translational Research
  • Genomics

Background:

  • Patient-derived xenografts (PDXs) are crucial preclinical models for cancer therapeutics.
  • Lung cancer research requires well-characterized models that reflect patient tumor heterogeneity.

Purpose of the Study:

  • To describe a repository of 79 genomically and clinically annotated lung cancer PDXs.
  • To highlight the utility of these PDX models for preclinical drug testing and translational research.

Main Methods:

  • Characterization of 79 lung cancer PDXs for histopathology, mutational profiles, gene expression, and copy-number aberrations.
  • Genomic profiling of PDX models and comparison with patient tumor data (The Cancer Genome Atlas).
  • Confirmation of clinically relevant mutations and recapitulation of treatment responses in PDX models.

Main Results:

  • The repository contains 79 lung cancer PDXs, predominantly non-small cell lung cancer (NSCLC) subtypes (37 LUAD, 33 LUSC).
  • PDX models exhibit genomic profiles consistent with patient tumors and retain key mutations.
  • Models with both de novo and acquired resistance to targeted therapies are available.

Conclusions:

  • The characterized lung cancer PDX repository provides a robust platform for preclinical drug efficacy studies.
  • These models accurately recapitulate patient tumor characteristics and treatment responses, facilitating translational research.
  • The availability of diverse PDX models, including resistant phenotypes, supports the development of novel cancer therapeutics.

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