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Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Somatic variation and cancer: therapies lost in the mix
Andrew V Biankin1, Thomas J Hudson
1Cancer Research Program, Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW 2010, Australia.
Abstract:
Cancer arises as a consequence of mutations in genomes of cancer cells, which over time allow them to proliferate and spread to distant sites. Large-scale sequencing of cancer genomes is revealing an increasing number of potential driver mutations that may allow specific targeting of cancer genes, proteins, and pathways. Comprehensive views of cancer genomes are also revealing enormous heterogeneity of mutation profiles, even among tumours derived from the same organs and having similar pathological characteristics. There are now many examples where mutation profiles observed in tumours have been shown to correlate with clinical features of disease, drug response, and patient outcomes. When ignored, molecular heterogeneity can lead to failures in drug development, as drugs that may have efficacy in subgroups of patients with specific molecular phenotypes may show marginal response when tested in large groups of unselected patients. This article explores issues relevant to the clinical translation of sequence-based mutation profiles in the clinical development of targeted therapies and in the future management of cancer patients.
Insights
Cancer genome sequencing reveals diverse mutations. Understanding this molecular heterogeneity is crucial for developing targeted therapies and improving patient outcomes in cancer treatment.
Area of Science:
- Genomics
- Oncology
- Translational Medicine
Background:
- Cancer develops from genomic mutations, enabling proliferation and metastasis.
- Large-scale cancer genome sequencing identifies potential driver mutations for targeted therapies.
- Tumor molecular profiles exhibit significant heterogeneity, even within the same organ type.
Purpose of the Study:
- To explore the clinical translation of sequence-based mutation profiles.
- To address challenges in developing targeted cancer therapies due to molecular heterogeneity.
- To inform future cancer patient management strategies.
Main Methods:
- Review of current literature on cancer genomics and targeted therapy development.
- Analysis of the impact of molecular heterogeneity on drug response.
- Discussion of clinical implications of mutation profiling.
Main Results:
- Mutation profiles correlate with clinical features, drug response, and patient outcomes.
- Ignoring molecular heterogeneity can lead to drug development failures.
- Targeted therapies show efficacy in specific patient subgroups.
Conclusions:
- Sequence-based mutation profiles are vital for targeted therapy development.
- Addressing molecular heterogeneity is key to successful cancer drug development.
- Personalized medicine approaches are essential for future cancer patient management.
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