Navigating the complexity of PI3K/AKT pathway in HER-2 negative breast cancer: biomarkers and beyond

M Sirico1, F Jacobs2, C Molinelli3

  • 1Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Italy.

Insights

New PI3K/AKT inhibitors show promise for metastatic breast cancer with specific gene alterations. Biomarkers like PIK3CA mutations are key, but optimal patient selection and resistance mechanisms require further study.

Area of Science:

  • Oncology
  • Pharmacology
  • Genetics

Background:

  • Hormone receptor-positive (HR+)/Human Epidermal Growth Factor Receptor 2 (HER2)-negative metastatic breast cancer (mBC) treatment has advanced with targeted therapies.
  • Phosphoinositide 3-Kinase Pathway inhibitors (PI3Ki) like alpelisib and AKT inhibitors (AKTi) like capivasertib offer benefits for patients with PIK3CA/AKT1/PTEN alterations.
  • These targeted therapies present significant toxicities, limiting use in vulnerable patient populations.

Purpose of the Study:

  • To review biomarkers for response and resistance to PI3K/AKT inhibitors (PI3K/AKTis) in HR+/HER- mBC.
  • To identify patient populations most likely to benefit from PI3K/AKTis in early and advanced disease settings.
  • To assess the development, successes, and failures of PI3K/AKT pathway-targeted agents.

Main Methods:

  • Analysis of clinical data from trials like SOLAR-1 and CAPItello-291.
  • Review of biomarkers including PIK3CA, AKT, PTEN mutations, insulin levels, and 18F-FDG-PET/CT.
  • Assessment of drug development pipelines and clinical outcomes.

Main Results:

  • PIK3CA mutations and AKT pathway alterations show potential predictive value for alpelisib and capivasertib efficacy.
  • Data from retrospective and exploratory analyses were not conclusive.
  • Optimal diagnostic methods for detecting PIK3CA/AKT1/PTEN alterations are yet to be established.

Conclusions:

  • PI3K/AKT inhibitors offer a therapeutic option for specific mBC subtypes, but toxicity and resistance remain challenges.
  • Accurate biomarker identification is crucial for patient selection and maximizing treatment benefit.
  • Reassessing PIK3CA mutational status during disease progression is vital for personalized treatment strategies.

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