Genomic and transcriptomic analysis of a diffuse pleural mesothelioma patient-derived xenograft library

Michael Offin1,2, Jennifer L Sauter3, Sam E Tischfield4

  • 1Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Genome Medicine
|November 16, 2022
PubMed
Abstract

Insights

Researchers developed patient-derived xenograft (PDX) models for diffuse pleural mesothelioma (DPM). These models accurately reflect human tumors, aiding the study of DPM's molecular landscape and potential therapeutic targets.

Area of Science:

  • Oncology
  • Translational Research
  • Genomics

Background:

  • Diffuse pleural mesothelioma (DPM) is an aggressive cancer with poor outcomes.
  • Current treatment advances have not significantly improved patient survival.
  • A lack of accurate preclinical models hinders therapeutic research in DPM.

Purpose of the Study:

  • To establish and validate patient-derived xenograft (PDX) models for diffuse pleural mesothelioma (DPM).
  • To characterize the molecular and genomic features of DPM PDX models.
  • To compare DPM PDX models with their matched primary patient tumors.

Main Methods:

  • 22 DPM patient-derived xenografts (PDX) were established.
  • Multi-omic analyses including targeted next-generation sequencing (NGS) and RNA sequencing were performed.
  • Histology, proteomic profiles, and clinical outcomes were analyzed.

Main Results:

  • PDX models closely mirrored the histology, genomic landscape, and proteomic profiles of the original tumors.
  • Transcriptomic analysis revealed overexpression of WNT/β-catenin, hedgehog, and TGF-β signaling pathways.
  • Suppression of immune-related signaling was observed in PDXs from patients with poorer outcomes.

Conclusions:

  • DPM PDX models accurately represent the genotype and phenotype of parental tumors.
  • These validated models provide a valuable preclinical tool for DPM research.
  • Identified signaling pathways offer potential targets for future DPM therapeutic strategies.

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