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Author Spotlight: Exploring Salidroside's Molecular Mechanisms in Breast Cancer Treatment
Published on: June 9, 2023
Targeting PI3K inhibitor resistance in breast cancer with metabolic drugs
Niklas Gremke1,2, Isabelle Besong3,4, Alina Stroh3,4
1Institute of Molecular Oncology, Universities of Gießen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Philipps-University, Marburg, Germany. Gremken@staff.uni-marburg.de.
Abstract:
Activating PIK3CA mutations, present in up to 40% of hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (Her2-) breast cancer (BC) patients, can be effectively targeted with the alpha isoform-specific PI3K inhibitor Alpelisib. This treatment significantly improves outcomes for HR+, Her2-, and PIK3CA-mutated metastatic BC patients. However, acquired resistance, often due to aberrant activation of the mTOR complex 1 (mTORC1) pathway, remains a significant clinical challenge. Our study, using in vitro and orthotopic xenograft mouse models, demonstrates that constitutively active mTORC1 signaling renders PI3K inhibitor-resistant BC exquisitely sensitive to various drugs targeting cancer metabolism. Mechanistically, mTORC1 suppresses the induction of autophagy during metabolic perturbation, leading to energy stress, a critical depletion of aspartate, and ultimately cell death. Supporting this mechanism, BC cells with CRISPR/Cas9-engineered knockouts of canonical autophagy genes showed similar vulnerability to metabolically active drugs. In BC patients, high mTORC1 activity, indicated by 4E-BP1T37/46 phosphorylation, correlated with p62 accumulation, a sign of impaired autophagy. Together, these markers predicted poor overall survival in multiple BC subgroups. Our findings reveal that aberrant mTORC1 signaling, a common cause of PI3K inhibitor resistance in BC, creates a druggable metabolic vulnerability by suppressing autophagy. Additionally, the combination of 4E-BP1T37/46 phosphorylation and p62 accumulation serves as a biomarker for poor overall survival, suggesting their potential utility in identifying BC patients who may benefit from metabolic therapies.
Insights
Aberrant mTORC1 signaling in PI3K inhibitor-resistant breast cancer creates a metabolic vulnerability by suppressing autophagy. This finding suggests potential new therapeutic strategies targeting cancer metabolism and identifies biomarkers for patient survival.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Metabolism
Background:
- Activating PIK3CA mutations are common in hormone receptor-positive (HR+), HER2-negative (HER2-) breast cancer (BC).
- Alpelisib, a PI3K inhibitor, improves outcomes for HR+, HER2-, PIK3CA-mutated metastatic BC.
- Acquired resistance to PI3K inhibitors, often via mTORC1 activation, is a clinical challenge.
Purpose of the Study:
- Investigate the link between mTORC1 activation and resistance to PI3K inhibitors in breast cancer.
- Elucidate the mechanism by which mTORC1 confers resistance.
- Identify potential therapeutic vulnerabilities and biomarkers associated with this resistance.
Main Methods:
- In vitro and orthotopic xenograft mouse models of breast cancer.
- CRISPR/Cas9 gene editing to study autophagy.
- Analysis of patient tumor samples for mTORC1 activity and autophagy markers.
- Correlation of molecular markers with patient survival data.
Main Results:
- Constitutively active mTORC1 signaling in PI3K inhibitor-resistant BC sensitizes cells to cancer metabolism drugs.
- mTORC1 suppresses autophagy induction during metabolic stress, causing energy depletion and cell death.
- BC cells with disrupted autophagy genes exhibit similar drug vulnerability.
- High mTORC1 activity (4E-BP1 phosphorylation) and p62 accumulation correlate with impaired autophagy and poor survival in BC patients.
Conclusions:
- Aberrant mTORC1 signaling drives a druggable metabolic vulnerability in PI3K inhibitor-resistant breast cancer by inhibiting autophagy.
- Targeting cancer metabolism offers a promising therapeutic strategy for resistant BC.
- 4E-BP1 phosphorylation and p62 accumulation are potential biomarkers for predicting poor survival and guiding treatment decisions.
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