Oxidative phosphorylation is a metabolic vulnerability of endocrine therapy and palbociclib resistant metastatic

Rania El-Botty1, Ludivine Morriset1, Elodie Montaudon1

  • 1Laboratory of Preclinical Investigation, Translational Research Department, Institut Curie, PSL University, 26 rue d'Ulm, 75005, Paris, France.

Nature Communications
|July 14, 2023
PubMed

Insights

A new study reveals that some metastatic estrogen receptor-positive breast cancers (ER+ BC) depend on oxidative phosphorylation (OXPHOS). An OXPHOS inhibitor, IACS-010759, effectively reduced tumor growth in resistant models, highlighting OXPHOS as a potential therapeutic target.

Area of Science:

  • Oncology
  • Metabolic pathways
  • Cancer research

Background:

  • Endocrine therapy and CDK4/6 inhibitor resistance is common in estrogen receptor-positive breast cancer (ER+ BC).
  • A subset of metastatic ER+ BC exhibits a strong dependence on oxidative phosphorylation (OXPHOS) for survival and proliferation.

Purpose of the Study:

  • To investigate the role of OXPHOS in treatment-resistant ER+ BC.
  • To evaluate the efficacy of the OXPHOS inhibitor IACS-010759 in preclinical models of resistant ER+ BC.

Main Methods:

  • Genomic and metabolomic analyses of patient tumors, patient-derived xenografts (PDX), and cell lines.
  • In vivo efficacy studies of IACS-010759 in endocrine- and palbociclib-resistant PDX models.
  • In vitro studies assessing OXPHOS dependency and reactive oxygen species (ROS) levels.

Main Results:

  • IACS-010759 significantly inhibited tumor growth in multiple resistant PDX models.
  • Mutations in PIK3CA/AKT1 genes were associated with response to IACS-010759.
  • High expression of OXPHOS-associated genes in ER+ BC patients predicts poor prognosis.

Conclusions:

  • Oxidative phosphorylation (OXPHOS) is a critical vulnerability in a fraction of treatment-resistant ER+ BC.
  • Targeting OXPHOS with inhibitors like IACS-010759 shows promise for overcoming resistance.
  • OXPHOS dependency and associated gene expression may serve as predictive biomarkers for treatment response.

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