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Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Utilization of genomic signatures to direct use of primary chemotherapy
1Duke Institute for Genome Sciences and Policy, Duke University Medical Center, Durham, NC 27708, United States.
Abstract:
The success of treatment of cancer patients depends on matching the most effective therapeutic regimen with the characteristics of the individual patient, balancing benefit against risk of adverse events. The primary challenge in achieving this goal is the heterogeneity of the disease, recognizing that breast, lung, colon and other cancers are not single diseases but rather an array of disorders with distinct molecular mechanisms. Genomic analyses, and in particular gene expression profiling, has been shown to have the capacity to dissect this heterogeneity and afford opportunities to match therapies with the characteristics of the individual patient's tumor. Here we review the success in developing gene expression signatures that have the capability of predicting response to various commonly used and newly developing cancer therapeutics. We further discuss the challenges and the opportunities in utilizing these tools in present-day clinical practice.
Insights
Genomic analysis, specifically gene expression profiling, helps personalize cancer treatment by identifying distinct molecular mechanisms within tumors. This approach matches effective therapies to individual patients, improving outcomes and managing risks.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Cancer treatment success relies on matching therapies to individual patient and tumor characteristics.
- Tumor heterogeneity presents a major challenge, as cancers like breast, lung, and colon are diverse molecular disorders, not single diseases.
Purpose of the Study:
- To review the development and success of gene expression signatures for predicting cancer therapeutic response.
- To discuss the challenges and opportunities of implementing these genomic tools in clinical practice.
Main Methods:
- Review of studies on gene expression profiling in cancer.
- Analysis of the predictive capacity of gene expression signatures for various cancer therapeutics.
Main Results:
- Gene expression profiling can dissect tumor heterogeneity, revealing distinct molecular mechanisms.
- Developed gene expression signatures show promise in predicting patient response to cancer therapies.
Conclusions:
- Genomic analysis, particularly gene expression profiling, is crucial for personalized cancer medicine.
- Utilizing gene expression signatures offers opportunities to optimize treatment selection and improve patient outcomes.
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