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Functional activation of the AKT-mTOR signalling axis in a real-world metastatic breast cancer cohort

  • Deepika Prasad
  • , Elisa Baldelli
  • , Edik M. Blais
  • , Justin Davis
  • , Emna El Gazzah
  • , Claudius Mueller
  • , Alison Gomeiz
  • , Aisha Ibrahim
  • , Avani Vinayak Newrekar
  • , Brian A. Corgiat
  • , Rick Dunetz
  • , Emanuel F. Petricoin
  • , Qi Wei
  • , Mariaelena Pierobon*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Background: Mutations of the PIK3CA/AKT/mTOR axis are common events in metastatic breast cancers (MBCs). This study was designed to evaluate the extent to which genetic alterations of the PIK3CA/AKT/mTOR can predict protein activation of this signalling axis in MBCs. Methods: Molecular profiles were generated by CLIA-certified laboratories from a real-world evidence cohort of 171 MBC patients. Genetic alterations of the PIK3CA pathway were measured using next-generation sequencing. Activation levels of AKT and downstream signalling molecules were quantified using two orthogonal proteomic methods. Protein activity was correlated with underlying genomic profiles and response to CDK4/6 inhibition in combination with endocrine treatment (ET). Results: Oncogenic alterations of the PIK3CA/AKT/PTEN pathway were identified in 49.7% of cases. Genomic profiles emerged as poor predictors of protein activity (AUC:0.69), and AKT phosphorylation levels mimicked those of mutant lesions in 76.9% of wild-type tumours. High phosphorylation levels of the PI3K/AKT/mTOR downstream target p70S6 Kinase (T389) were associated with shorter PFS in patients treated with CDK4/6 inhibitors in combination with ET (HR:4.18 95%CI:1.19–14.63); this association was not seen when patients were classified by mutational status. Conclusions: Phosphoprotein-based measurements of drug targets and downstream substrates should be captured along with genomic information to identify MBCs driven by the PI3K/AKT/mTOR signalling.

Original languageEnglish
Pages (from-to)1543-1554
Number of pages12
JournalBritish Journal of Cancer
Volume131
Issue number9
DOIs
StatePublished - 16 Nov 2024

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