A pathway-based approach to identify molecular biomarkers in cancer.
Many examples highlight the power of gene expression profiles, or signatures, to provide an understanding of biological phenotypes. This is best seen in the context of cancer, where expression signatures have tremendous power to identify new cancer subtypes and to predict clinical outcomes. Gene expression profiles have been developed to personalize medicine, accurately predicting disease recurrence and tumor response to therapy. The use of these signatures as surrogate phenotypes allows us to link diverse experimental systems, which dissect the complexity of biological systems, with the in vivo setting in a way that was not previously feasible. Taken together, these new genomic tools provide the opportunity to develop rational strategies for treating the individual cancer patient.
Duke Scholars
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Related Subject Headings
- Predictive Value of Tests
- Oncology & Carcinogenesis
- Neoplasms
- Humans
- Gene Expression Profiling
- Drug Resistance, Neoplasm
- Biomarkers, Tumor
- 3211 Oncology and carcinogenesis
- 1112 Oncology and Carcinogenesis
Citation
Published In
DOI
EISSN
Publication Date
Volume
Start / End Page
Location
Related Subject Headings
- Predictive Value of Tests
- Oncology & Carcinogenesis
- Neoplasms
- Humans
- Gene Expression Profiling
- Drug Resistance, Neoplasm
- Biomarkers, Tumor
- 3211 Oncology and carcinogenesis
- 1112 Oncology and Carcinogenesis