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Predicting response to radiotherapy: evolutions and revolutions.
1Division of Experimental Therapy, The Netherlands Cancer Institute, Amsterdam, The Netherlands. a.begg@nki.nl
International Journal of Radiation Biology
|October 30, 2009
Summary
Predicting radiotherapy outcomes has evolved from simple cell assays to comprehensive genomic profiling. Gene expression and mutation monitoring now offers deeper insights into treatment success and failure causes.
Area of Science:
- Oncology
- Genomics
- Radiotherapy Research
Background:
- Predicting patient outcomes after radiotherapy has historically relied on limited biological markers.
- Technological advancements have enabled a shift towards more sophisticated molecular analyses.
Purpose of the Study:
- To review the evolution of predicting radiotherapy outcomes based on biological characteristics.
- To describe the current state and future trends in this field.
Main Methods:
- Review of historical and current methods for outcome prediction in radiotherapy.
- Analysis of molecular techniques including gene expression, mutation analysis, and genome-wide profiling.
Main Results:
- A transition from explanted cell assays to genome-wide DNA and RNA monitoring.
- Identification of molecular signatures (e.g., comparative genomic hybridization, mRNA/microRNA profiling) correlating with radiotherapy outcomes.
Conclusions:
- Molecular profiling enhances prediction and understanding of radiotherapy failure.
- Future trends include discovery of new radiotherapy signatures, refinement to routine assays, focus on radiosensitizing drug efficacy, validation in trials, and integration of proteomics and advanced imaging.
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