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Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model
Published on: March 20, 2020
Kinome rewiring reveals AURKA limits PI3K-pathway inhibitor efficacy in breast cancer
Hayley J Donnella1, James T Webber1, Rebecca S Levin2
1Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.
Abstract:
Dysregulation of the PI3K-AKT-mTOR signaling network is a prominent feature of breast cancers. However, clinical responses to drugs targeting this pathway have been modest, possibly because of dynamic changes in cellular signaling that drive resistance and limit drug efficacy. Using a quantitative chemoproteomics approach, we mapped kinome dynamics in response to inhibitors of this pathway and identified signaling changes that correlate with drug sensitivity. Maintenance of AURKA after drug treatment was associated with resistance in breast cancer models. Incomplete inhibition of AURKA was a common source of therapy failure, and combinations of PI3K, AKT or mTOR inhibitors with the AURKA inhibitor MLN8237 were highly synergistic and durably suppressed mTOR signaling, resulting in apoptosis and tumor regression in vivo. This signaling map identifies survival factors whose presence limits the efficacy of targeted therapies and reveals new drug combinations that may unlock the full potential of PI3K-AKT-mTOR pathway inhibitors in breast cancer.
Insights
Targeting the PI3K-AKT-mTOR pathway in breast cancer shows promise. Combining pathway inhibitors with AURKA inhibitors overcomes resistance, enhancing apoptosis and tumor regression for improved treatment efficacy.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacology
Background:
- The PI3K-AKT-mTOR signaling network is frequently dysregulated in breast cancer.
- Current targeted therapies for this pathway show limited clinical efficacy due to resistance.
- Dynamic signaling changes contribute to therapeutic resistance and reduced drug effectiveness.
Purpose of the Study:
- To map kinome dynamics in response to PI3K-AKT-mTOR pathway inhibitors.
- To identify signaling alterations associated with drug sensitivity and resistance.
- To discover novel drug combinations to enhance breast cancer treatment.
Main Methods:
- Quantitative chemoproteomics was employed to analyze signaling networks.
- Kinome dynamics were mapped in breast cancer models under drug treatment.
- Synergistic effects of combined PI3K/AKT/mTOR and AURKA inhibitors were evaluated.
Main Results:
- Maintenance of Aurora Kinase A (AURKA) post-treatment correlated with resistance.
- Incomplete AURKA inhibition was a key factor in therapy failure.
- Combinations of PI3K, AKT, or mTOR inhibitors with MLN8237 (an AURKA inhibitor) demonstrated high synergy.
- Combined therapy led to durable mTOR signaling suppression, apoptosis, and in vivo tumor regression.
Conclusions:
- Signaling pathways, like AURKA, can limit the efficacy of targeted breast cancer therapies.
- Combining PI3K-AKT-mTOR inhibitors with AURKA inhibitors offers a promising strategy.
- This approach may overcome resistance and improve outcomes for breast cancer patients.
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