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Published on: August 22, 2017
Translational biomarkers: from discovery and development to clinical practice
Meena Subramanyam1, Jaya Goyal2
1Global Biomarker Discovery and Development, Biogen, 300 Binney St., Cambridge, MA 02142, United States.
Molecular phenotypes enhance disease diagnosis and treatment. Biomarker research faces challenges due to disease heterogeneity and model system limitations, but strategies are emerging to improve clinical translation for better health outcomes.
Area of Science:
- Biomedical research
- Molecular biology
- Translational medicine
Background:
- Molecular phenotypes refine disease classification, improving diagnostic precision and personalized treatments.
- Biomarker discovery is crucial for understanding therapeutic impacts and guiding drug development.
- Challenges include disease heterogeneity and inadequate disease models, hindering biomarker-pathology association.
Purpose of the Study:
- To review the current state of biomarker research.
- To highlight strategies for advancing biomarker discovery into clinical practice.
- To enable objective decision-making and enhance patient health outcomes.
Main Methods:
- Literature review of current biomarker research landscape.
- Analysis of strategies for biomarker translation.
- Discussion of challenges in biomarker validation.
Main Results:
- Refinement of disease taxonomy using molecular phenotypes improves diagnosis and treatment customization.
- Biomarker research is vital for drug discovery and development.
- Gaps in understanding disease heterogeneity and model systems impede biomarker-pathology linkage.
Conclusions:
- Overcoming challenges in biomarker research is essential for clinical translation.
- New strategies are needed to bridge the gap between biomarker discovery and medical practice.
- Successful biomarker implementation will lead to more objective decision-making and improved health outcomes.
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