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Dissecting variability in responses to cancer chemotherapy through systems pharmacology
R Yang1, M Niepel, T K Mitchison
1Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA.
Abstract:
Variability in patient responses to even the most potent and targeted therapeutics is now the primary challenge facing drug discovery and patient care, particularly in oncology and immune therapy. Variability with respect to mechanisms of induced resistance is observed both in drug-naive patients and among those who are initially responsive. Genomics has developed powerful tools for systematic interrogation of disease genotype and transcriptional states (particularly in cancer) and for correlation of these measures with parameters of disease such as histological diagnosis and outcome. In contrast, mechanistic preclinical studies remain relatively narrowly focused, leading to many apparent contradictions and poor understanding of the determinants of response. We describe the emergence of a systems pharmacology approach that is mechanistic, quantitative, probabilistic, and postgenomic and promises to do for mechanistic pharmacology what genomics is doing for correlative studies. We focus on studies in cell lines (which currently dominate mechanism-oriented analysis), but our arguments are equally valid for real tumors studied in short-term culture as xenografts and, perhaps some time in the future, in humans.
Insights
Patient response variability to targeted therapies presents a major challenge. A systems pharmacology approach offers a quantitative, mechanistic framework to understand drug resistance, improving future therapeutics.
Area of Science:
- Pharmacology
- Systems Biology
- Genomics
Background:
- Patient response variability to targeted therapeutics is a significant challenge in oncology and immune therapy.
- Mechanisms of drug resistance emerge in both naive and initially responsive patients.
- Current preclinical studies are narrowly focused, hindering a comprehensive understanding of response determinants.
Purpose of the Study:
- To introduce a systems pharmacology approach to address limitations in current mechanistic pharmacology.
- To provide a quantitative, mechanistic, and probabilistic framework for understanding drug response variability.
- To highlight the potential of systems pharmacology in postgenomic drug discovery.
Main Methods:
- Focus on cell line studies as a model for mechanistic analysis.
- Application of a systems pharmacology framework.
- Integration of quantitative, probabilistic, and mechanistic principles.
Main Results:
- The proposed systems pharmacology approach is mechanistic, quantitative, and probabilistic.
- This approach promises to advance mechanistic pharmacology similarly to how genomics advanced correlative studies.
- The framework is applicable to cell lines, xenografts, and potentially human studies.
Conclusions:
- Systems pharmacology offers a powerful approach to unraveling drug response variability.
- This methodology can overcome the limitations of narrowly focused preclinical studies.
- It paves the way for improved drug discovery and patient care in oncology and immune therapy.
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