Pharmacogenomic landscape of patient-derived tumor cells informs precision oncology therapy

Jin-Ku Lee1,2,3, Zhaoqi Liu4,5, Jason K Sa1,3

  • 1Institute for Refractory Cancer Research, Samsung Medical Center, Seoul, Republic of Korea.

Nature Genetics
|September 29, 2018
PubMed

Insights

Patient-derived tumor cells (PDCs) offer precise models for cancer research. This study maps drug responses across many PDCs, revealing insights into targeted therapy resistance and repurposing opportunities.

Area of Science:

  • Oncology
  • Genomics
  • Pharmacology

Background:

  • Anticancer therapy outcomes vary due to tumor heterogeneity.
  • Precision oncology relies on molecular tumor characterization for tailored treatments.

Purpose of the Study:

  • To create a pharmacological landscape of patient-derived tumor cells (PDCs) with genomic and transcriptomic data.
  • To identify pharmacogenomic associations and therapeutic resistance mechanisms.

Main Methods:

  • Established pharmacological profiling of 462 patient-derived tumor cells (PDCs) across 14 cancer types.
  • Performed genomic and transcriptomic profiling on 385 PDCs.
  • Analyzed drug sensitivities and clinical response data.

Main Results:

  • PDCs more accurately recapitulate tumor molecular properties than traditional cell lines.
  • Identified molecular drivers of resistance to EGFR inhibitors.
  • Discovered potential repurposing of ibrutinib for EGFR-specific glioma therapy.

Conclusions:

  • PDC models provide valuable insights into cancer drug response and resistance.
  • Pharmacogenomic data from PDCs can predict clinical response to targeted therapies.

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