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Gene expression profiling to dissect the complexity of cancer biology: pitfalls and promise
Eric Raspe1, Charles Decraene, Geert Berx
1Unit of Molecular and Cellular Oncology, Department for Molecular Biomedical Research, VIB, 9052 Ghent, Belgium.
Abstract:
Despite advances in chemotherapy, hormone therapy and radiotherapy, not all cancer patients respond favorably to treatment. However, progress in understanding the mechanisms of malignant diseases and the mode of action of therapies are opening opportunities to match treatment to specific patient subpopulations, paving the way for personalized medicine. In this context, high throughput technologies that have been developed to determine gene expression profiles potentially offer an effective tool for dissecting the biology of cancer pathologies, for identifying candidate molecules for the development of new drugs, and for identifying individual patients who are more likely to respond favorably to a given therapy. Here, we overview and discuss the robustness of the deployment of these technologies in these contexts. We conclude that while these technologies are useful for target identification, there are limitations to their use in understanding cancer biology and in routine clinical application.
Insights
High-throughput gene expression profiling aids cancer research and drug development. However, its clinical application for personalized cancer medicine faces limitations in routine use and understanding complex cancer biology.
Area of Science:
- Oncology
- Genomics
- Translational Medicine
Background:
- Standard cancer treatments like chemotherapy, hormone therapy, and radiotherapy have limitations in patient response.
- Advancements in understanding cancer biology and therapy mechanisms enable personalized medicine approaches.
- Gene expression profiling technologies offer potential for dissecting cancer pathologies and identifying therapeutic targets.
Purpose of the Study:
- To overview and discuss the robustness of high-throughput gene expression profiling technologies.
- To evaluate the utility of these technologies in cancer biology, drug development, and personalized medicine.
- To identify limitations in the clinical application of gene expression profiling for cancer treatment.
Main Methods:
- Review and discussion of high-throughput technologies for gene expression profiling.
- Analysis of the application of these technologies in cancer research and clinical settings.
- Assessment of the robustness and limitations of gene expression profiling in oncology.
Main Results:
- High-throughput technologies are valuable for identifying potential drug targets in cancer.
- These technologies can aid in dissecting the underlying biology of various cancer pathologies.
- Gene expression profiling shows promise for identifying patient subpopulations likely to respond to specific therapies.
Conclusions:
- Gene expression profiling technologies are useful for cancer target identification and drug discovery.
- Limitations exist in their current application for comprehensive cancer biology understanding.
- Widespread routine clinical application for personalized cancer treatment faces challenges.
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