Modeling Clinical Responses to Targeted Therapies by Patient-Derived Organoids of Advanced Lung Adenocarcinoma

Seok-Young Kim1, Sang-Min Kim2, Sumin Lim3

  • 1Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea.

Abstract

Insights

Patient-derived organoids (PDOs) accurately predict lung cancer patient responses to targeted therapies. These organoids are valuable tools for personalized medicine and accelerating the development of new lung adenocarcinoma treatments.

Area of Science:

  • Oncology
  • Genomics
  • Translational Medicine

Background:

  • Patient-derived organoids (PDOs) are emerging models reflecting lung cancer's genomic complexity.
  • The clinical utility of advanced lung adenocarcinoma PDOs in predicting treatment outcomes remains largely unestablished.

Purpose of the Study:

  • To assess the predictive capability of lung adenocarcinoma PDOs for individual patient responses to targeted therapies.
  • To identify effective anticancer therapies for novel molecular targets using PDO models.

Main Methods:

  • Established 84 organoids from advanced lung adenocarcinoma patients.
  • Performed whole-exome sequencing on tumor specimens (n=12) and organoids (n=61).
  • Conducted RNA sequencing on organoids (n=55) and evaluated responses to targeted therapies in organoids and derived xenografts.

Main Results:

  • PDOs largely preserved somatic alterations and driver mutations from patient tumors.
  • PDOs successfully recapitulated patient responses to tyrosine kinase inhibitors and clinical trial therapies.
  • Demonstrated efficacy of poziotinib for ERBB2 insertions and pralsetinib for RET fusions in PDO models.

Conclusions:

  • Validated the translational relevance of PDOs for advanced lung adenocarcinoma.
  • Highlighted PDOs as crucial diagnostic tools for clinical decision-making and therapeutic strategy development.

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