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Published on: April 11, 2016
Clinical implementation of comprehensive strategies to characterize cancer genomes: opportunities and challenges
Laura E MacConaill1, Paul Van Hummelen, Matthew Meyerson
1Center for Cancer Genome Discovery, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts 02215, USA.
Abstract:
An increasing number of anticancer therapeutic agents target specific mutant proteins that are expressed by many different tumor types. Recent evidence suggests that the selection of patients whose tumors harbor specific genetic alterations identifies the subset of patients who are most likely to benefit from the use of such agents. As the number of genetic alterations that provide diagnostic and/or therapeutic information increases, the comprehensive characterization of cancer genomes will be necessary to understand the spectrum of distinct genomic alterations in cancer, to identify patients who are likely to respond to particular therapies, and to facilitate the selection of treatment modalities. Rapid developments in new technologies for genomic analysis now provide the means to perform comprehensive analyses of cancer genomes. In this article, we review the current state of cancer genome analysis and discuss the challenges and opportunities necessary to implement these technologies in a clinical setting.
Insights
Targeting specific mutant proteins with anticancer therapies requires comprehensive cancer genome analysis. Identifying patients with specific genetic alterations ensures they receive the most effective treatments.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Targeted anticancer therapies are increasingly developed for specific mutant proteins.
- Patient selection based on tumor genetic alterations improves therapeutic efficacy.
- Comprehensive cancer genome characterization is crucial for personalized medicine.
Purpose of the Study:
- To review the current state of cancer genome analysis.
- To discuss the implementation of genomic technologies in clinical settings.
- To highlight challenges and opportunities in clinical cancer genomics.
Main Methods:
- Review of current technologies for genomic analysis.
- Discussion of data interpretation and clinical application.
Main Results:
- Genomic analysis technologies have advanced significantly.
- Comprehensive cancer genome analysis is feasible.
- Clinical implementation faces challenges but offers opportunities.
Conclusions:
- Personalized cancer treatment relies on understanding individual tumor genomics.
- Advanced genomic technologies are essential for identifying optimal therapies.
- Bridging genomic research and clinical practice is key for future cancer care.
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