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Role of genomics in identifying new targets for cancer therapy
Sarah L Anzick1, Jeffrey M Trent
1Division of Intramural Research, Cancer Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892-8002, USA.
Abstract:
The detailed map of the human genome can potentially transform future cancer therapy by merging genomics with pharmacology, thereby identifying which patients will benefit from specific therapeutic agents. Single-nucleotide polymorphisms (SNPs) provide a valuable tool for this pharmacogenetic approach to cancer therapy. The discovery of SNPs as disease markers may facilitate identification of populations at increased risk for certain cancers. In addition, SNP genetic screening may facilitate administration of appropriate treatment modalities or reveal specific genetic profiles that have importance in drug efficacy and toxicity. In addition to SNP analysis, DNA and tissue microarray analyses have the potential to transform the future of cancer therapy. For example, DNA microarrays may improve tumor classification systems as well as provide a molecular level dissection of global gene expression changes that occur in carcinogenesis. Tissue microarrays would allow one to verify candidate genes, identified from DNA microarrays, against archival tumor specimens with known clinical outcome. In addition, both microarray technologies may be combined to rapidly validate gene targets. We will review and discuss these state-of-the-art technologies including data suggesting that the combined use of these high throughput technologies will facilitate our understanding of the genetic complexities inherent in cancer and will revolutionize cancer therapy.
Insights
Genomic and pharmacologic integration, using single-nucleotide polymorphisms (SNPs) and microarray analyses, promises to revolutionize cancer therapy by personalizing treatments and improving drug efficacy.
Area of Science:
- Oncology
- Genomics
- Pharmacology
Background:
- The human genome map offers potential for transforming cancer therapy.
- Pharmacogenetics and genomics integration can identify patients benefiting from specific therapies.
Purpose of the Study:
- To review and discuss state-of-the-art technologies for personalized cancer therapy.
- To explore the role of single-nucleotide polymorphisms (SNPs) and microarray analyses in cancer treatment.
Main Methods:
- Analysis of single-nucleotide polymorphisms (SNPs) for disease risk and treatment selection.
- DNA and tissue microarray analyses for gene expression and target validation.
- Combining high-throughput technologies for comprehensive cancer research.
Main Results:
- SNPs can identify at-risk populations and guide treatment efficacy and toxicity.
- Microarrays can improve tumor classification and dissect gene expression in carcinogenesis.
- Combined technologies facilitate understanding of cancer's genetic complexities.
Conclusions:
- Genomic and pharmacologic integration, including SNPs and microarrays, will revolutionize cancer therapy.
- Personalized medicine approaches based on genetic profiles are key to future cancer treatment.
- High-throughput technologies are essential for advancing our understanding of cancer genetics.