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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.
Abstract:
The results of the SOLAR-1 and CAPItello-291, highlight the benefit of the ɑ-selective phosphoinositide 3-Kinase Pathway inhibitor (PI3Ki) alpelisib and the AKT inhibitor (AKTi) capivasertib in patients with hormone receptor-positive (HR+)/Human Epidermal Growth Factor Receptor 2 (HER2)- negative metastatic breast cancer (mBC) that have PIK3CA/AKT1/PTEN tumour alterations. Although effective, these drugs are associated with significant toxicities, which often limit their use, particularly in frail patients. Following the recent incorporation of these agents into clinical practice, and with many others currently in development, significant challenges have emerged, particularly those regarding biomarkers for patient selection. This review will discuss biomarkers of response and their resistance to PI3K/AKT inhibitors (PI3K/AKTis) in HR+/HER- BC in early and advanced settings to ascertain which populations will most benefit from these drugs. Of the biomarkers that were analysed, such as PIK3CA, AKT, PTEN mutations, insulin levels, 18 F-FDG-PET/TC, only the PIK3CA-mutations (PIK3CA-mut) and the AKT pathway alterations seem to have a predictive value for treatments with alpelisib and capivasertib. However, due to the retrospective and exploratory nature of the study, the data did not provide conclusive results. In addition, the different methods used to detect PIK3CA/AKT1/PTEN alterations underline the fact that the optimal diagnostic companion has yet to be established. We have summarised the clinical data on the approved and discontinued agents targeting this pathway and have assessed the drugs development, successes, and failures. Finally, because of tumour heterogeneity, we emphasise the importance of reassessing the mutational status of PI3KCA in both metastatic tissue and blood at the time of disease progression to better tailor treatment for patients.
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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