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Genomic Determinants of PI3K Pathway Inhibitor Response in Cancer
Britta Weigelt1, Julian Downward
1Signal Transduction Laboratory, Cancer Research UK London Research Institute London, UK.
Abstract:
The phosphoinositide 3-kinase (PI3K) pathway is frequently activated in cancer as a result of genetic (e.g., amplifications, mutations, deletions) and epigenetic (e.g., methylation, regulation by non-coding RNAs) aberrations targeting its key components. Several lines of evidence demonstrate that tumors from different anatomical sites depend on the continued activation of this pathway for the maintenance of their malignant phenotype. The PI3K pathway therefore is an attractive candidate for therapeutic intervention, and inhibitors targeting different components of this pathway are in various stages of clinical development. Burgeoning data suggest that the genomic features of a given tumor determine its response to targeted small molecule inhibitors. Importantly, alterations of different components of the PI3K pathway may result in distinct types of dependencies and response to specific therapeutic agents. In this review, we will focus on the genomic determinants of response to PI3K, dual PI3K/mechanistic target of rapamycin (mTOR), mTOR, and AKT inhibitors in cancer identified in preclinical models and clinical trials to date, and the development of molecular tools for the stratification of cancer patients.
Insights
The phosphoinositide 3-kinase (PI3K) pathway is often dysregulated in cancer. Genomic features predict patient response to PI3K, mTOR, and AKT inhibitors, aiding personalized cancer therapy.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- The phosphoinositide 3-kinase (PI3K) pathway is frequently activated in various cancers due to genetic and epigenetic alterations.
- Tumor dependence on PI3K pathway activation for malignant phenotype maintenance is well-established.
- Targeting the PI3K pathway presents a promising therapeutic strategy, with multiple inhibitors in clinical development.
Purpose of the Study:
- To review genomic determinants of response to PI3K, PI3K/mTOR, mTOR, and AKT inhibitors in cancer.
- To highlight the role of tumor genomic features in predicting therapeutic response.
- To discuss the development of molecular tools for patient stratification.
Main Methods:
- Review of preclinical models and clinical trial data.
- Analysis of genomic aberrations affecting PI3K pathway components.
- Evaluation of molecular tools for patient stratification.
Main Results:
- Genomic features of tumors significantly influence response to targeted small molecule inhibitors.
- Alterations in different PI3K pathway components lead to distinct dependencies and varied responses to therapy.
- Preclinical and clinical data identify specific genomic determinants for inhibitor response.
Conclusions:
- Understanding the genomic landscape of PI3K pathway alterations is crucial for effective cancer therapy.
- Genomic profiling enables patient stratification for targeted PI3K, mTOR, and AKT inhibitor treatments.
- Development of molecular tools is essential for precision medicine approaches in oncology.
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