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The tissue is the issue: personalized medicine for non-small cell lung cancer
Fred R Hirsch1, Murry W Wynes, David R Gandara
1University of Colorado Cancer Center, Aurora, Colorado 80045, USA. Fred.Hirsch@ucdenver.edu
Abstract:
The development of molecular markers is crucial for improving therapy in advanced non-small cell lung cancer (NSCLC). Here, we review perspectives of biomarker-driven personalized therapy in NSCLC, with particular reference to the detection of EML4-ALK gene rearrangements. Different molecular assays, validation, and clinical application to different types of tissue specimens are discussed.
Insights
Personalized therapy for advanced non-small cell lung cancer (NSCLC) relies on molecular markers. This review focuses on detecting EML4-ALK gene rearrangements for targeted NSCLC treatment strategies.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Advanced non-small cell lung cancer (NSCLC) treatment benefits from personalized approaches.
- Molecular markers are essential for guiding therapy selection in NSCLC.
- EML4-ALK gene rearrangements represent a key targetable biomarker.
Purpose of the Study:
- To review biomarker-driven personalized therapy in NSCLC.
- To highlight the significance of EML4-ALK gene rearrangement detection.
- To discuss the clinical application of molecular assays for NSCLC.
Main Methods:
- Literature review of biomarker-driven therapy in NSCLC.
- Focus on EML4-ALK gene rearrangement detection methods.
- Discussion of assay validation and tissue specimen application.
Main Results:
- Biomarker-driven therapy, particularly targeting EML4-ALK rearrangements, is pivotal for advanced NSCLC.
- Various molecular assays exist for detecting EML4-ALK.
- Considerations for assay validation and use across different tissue types are crucial.
Conclusions:
- Personalized therapy for NSCLC is significantly advanced by molecular marker identification.
- Effective detection and validation of biomarkers like EML4-ALK are key for clinical success.
- Tailoring NSCLC treatment based on molecular profiles improves patient outcomes.
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