Metabolic Imaging Detects Resistance to PI3Kα Inhibition Mediated by Persistent FOXM1 Expression in ER+ Breast Cancer

Susana Ros1, Alan J Wright1, Paula D'Santos1

  • 1Cancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK; Cancer Research UK Cambridge Cancer Centre, Cambridge, UK.

Cancer Cell
|September 25, 2020
PubMed

Insights

Persistent FOXM1 expression indicates resistance to PI3Kα inhibitors in ER-positive breast cancer. This resistance can be detected using MRI, aiding treatment selection and overcoming drug resistance in breast cancer patients.

Area of Science:

  • Oncology
  • Molecular Biology
  • Medical Imaging

Background:

  • PIK3CA mutations are common in ER-positive breast cancer, driving oncogenesis.
  • PI3Kα inhibitors are a clinical treatment, but resistance limits efficacy.
  • Predictive biomarkers are needed to identify patients who will respond to PI3Kα inhibitors.

Purpose of the Study:

  • To identify biomarkers predicting resistance to PI3Kα inhibitors in ER-positive breast cancer.
  • To investigate the role of FOXM1 in mediating resistance to PI3Kα inhibition.
  • To explore metabolic imaging techniques for assessing treatment response.

Main Methods:

  • Analysis of FOXM1 expression in response to PI3Kα inhibitor treatment.
  • Investigating the downstream targets of FOXM1, including lactate dehydrogenase (LDH) and hexokinase 2 (HK-II).
  • Utilizing magnetic resonance imaging (MRI) of hyperpolarized 13C-labeled pyruvate-to-lactate exchange to detect metabolic changes.

Main Results:

  • Persistent FOXM1 expression after treatment is a biomarker of resistance to PI3Kα inhibition.
  • FOXM1 upregulates LDH but not HK-II.
  • MRI can detect LDH-driven metabolic changes, distinguishing it from PET imaging of HK-II.

Conclusions:

  • FOXM1 is a key mediator of resistance to PI3Kα inhibitors in ER-positive breast cancer.
  • MRI of LDH-catalyzed metabolism offers a non-invasive method to assess treatment response and resistance.
  • This imaging approach can guide patient selection for PI3Kα inhibitors and inform strategies to overcome resistance.