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Updated: May 13, 2026

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Impact of genetic alterations on mTOR-targeted cancer therapy
1Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA 30322, USA. ssun@emory.edu
Abstract:
Rapamycin and its derivatives (rapalogs), a group of allosteric inhibitors of mammalian target of rapamycin (mTOR), have been actively tested in a variety of cancer clinical trials, and some have been approved by the Food and Drug Administration for the treatment of certain types of cancers. However, the single agent activity of these compounds in many tumor types remains modest. The mTOR axis is regulated by multiple upstream signaling pathways. Because the genes (e.g., PIK3CA, KRAS, PTEN, and LKB1) that encode key components in these signaling pathways are frequently mutated in human cancers, a subset of cancer types may be addicted to a given mutation, leading to hyperactivation of the mTOR axis. Thus, efforts have been made to demonstrate the potential impact of genetic alterations on rapalog-based or mTOR-targeted cancer therapy. This review will primarily summarize research advances in this direction.
Insights
Rapamycin drugs show modest effects alone in cancer. Genetic mutations impacting the mechanistic target of rapamycin (mTOR) pathway may improve cancer treatment strategies involving rapalogs.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacology
Background:
- Rapamycin and its derivatives (rapalogs) are allosteric inhibitors of the mechanistic target of rapamycin (mTOR) pathway.
- While approved for some cancers, their efficacy as single agents is often limited.
- The mTOR pathway is crucial in cancer and is regulated by upstream signaling pathways with frequent genetic alterations.
Purpose of the Study:
- To review research on the impact of genetic alterations on rapalog-based cancer therapy.
- To explore the potential of targeting the mTOR axis in cancer treatment.
Main Methods:
- Literature review of preclinical and clinical studies.
- Analysis of genetic mutations in key mTOR pathway components (e.g., PIK3CA, KRAS, PTEN, LKB1).
- Examination of how these mutations influence mTOR hyperactivation and cancer cell dependency.
Main Results:
- Genetic alterations in upstream signaling pathways can lead to addiction to mTOR hyperactivation in certain cancers.
- Understanding these mutations is key to predicting and improving responses to mTOR-targeted therapies.
- Research is advancing to demonstrate the therapeutic potential of stratifying patients based on genetic profiles.
Conclusions:
- Genetic landscape of cancer significantly influences the efficacy of mTOR-targeted therapies.
- Personalized approaches considering specific mutations may enhance the clinical utility of rapalogs.
- Further research is needed to fully leverage genetic insights for optimizing cancer treatment.
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