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Updated: May 15, 2026
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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
Published on: October 3, 2025
Functionalizing genomic data for personalization of medicine
1The Center for Molecular Therapeutics, Massachusetts General Hospital Cancer Center, Charlestown, Massachusetts, USA. cbenes@partners.org
Clinical Pharmacology and Therapeutics
|January 17, 2013
Summary
Genomic data is transforming disease definition, but current tools are insufficient. Systems biology offers a path toward personalized medicine, particularly in cancer genomics.
Area of Science:
- Genomics
- Systems Biology
- Personalized Medicine
Background:
- Genomic information has revolutionized disease definition.
- Existing research and development tools are inadequate for leveraging genomic data.
- Challenges exist in integrating vast genomic datasets into clinical practice.
Purpose of the Study:
- To explore systems-biology approaches for personalized medicine.
- To address the inadequacy of current tools in the face of genomic advancements.
- To focus on cancer genomics as a case study for applying systems biology.
Main Methods:
- Review of systems-biology methodologies.
- Analysis of cancer genomics data.
- Conceptual framework development for personalized medicine integration.
Main Results:
- Systems biology provides a framework to integrate complex genomic data.
- Novel approaches are needed to bridge the gap between genomic discoveries and clinical applications.
- Cancer genomics highlights the potential of systems biology in tailoring treatments.
Conclusions:
- Systems biology is crucial for advancing personalized medicine.
- Overcoming current limitations requires innovative research and development strategies.
- The integration of systems biology in cancer genomics promises more effective, individualized patient care.
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