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PIK3CA and KRAS mutations predict for response to everolimus therapy: now that's RAD001
1Breast Cancer Research Program, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland 21231, USA.
Abstract:
Targeted cancer therapeutics can be effective when patients are preselected to maximize the chance of response. Increasingly, molecular markers such as oncogenic DNA mutations are being exploited to help guide patient preselection. These DNA lesions can predict for either a positive or negative response to a given drug. Finding such predictive biomarkers is an ongoing challenge. New work by Di Nicolantonio and colleagues in this issue of the JCI demonstrates that PI3K catalytic alpha subunit (PIK3CA) mutations can sensitize cancer cells to the mammalian target of rapamycin (mTOR) inhibitor everolimus. In addition, they show that the concurrent presence of PIK3CA mutations and mutations in either KRAS or BRAF predict for resistance to this drug. These data suggest that mTOR inhibitors currently in use will be ineffective against cancers that have a mutation in either KRAS or BRAF despite having PI3K/AKT/mTOR pathway activation.
Insights
PIK3CA mutations sensitize cancer cells to everolimus, an mTOR inhibitor. However, co-occurring KRAS or BRAF mutations predict resistance, suggesting mTOR inhibitors may be ineffective in these specific cancer types.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacogenomics
Background:
- Targeted cancer therapies require patient preselection based on molecular markers.
- Oncogenic DNA mutations serve as predictive biomarkers for drug response.
- Identifying reliable predictive biomarkers remains a significant challenge in cancer treatment.
Purpose of the Study:
- To investigate the predictive value of PIK3CA mutations in response to the mTOR inhibitor everolimus.
- To determine if co-occurring mutations in KRAS or BRAF influence sensitivity or resistance to everolimus.
- To assess the clinical implications of PIK3CA, KRAS, and BRAF mutations for mTOR inhibitor efficacy.
Main Methods:
- Analysis of PIK3CA mutations in cancer cells.
- Assessment of cellular response to everolimus.
- Genomic analysis to identify co-occurring KRAS and BRAF mutations.
Main Results:
- PIK3CA mutations were found to sensitize cancer cells to everolimus.
- Concurrent PIK3CA and KRAS or BRAF mutations predicted resistance to everolimus.
- Cancers with PIK3CA mutations alongside KRAS or BRAF mutations are unlikely to respond to current mTOR inhibitors.
Conclusions:
- PIK3CA mutations can predict sensitivity to everolimus.
- KRAS or BRAF co-mutations negate the efficacy of everolimus in PIK3CA-mutated cancers.
- These findings highlight the complexity of predicting mTOR inhibitor response and the need for comprehensive biomarker analysis.
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