On systems and control approaches to therapeutic gain
2006
Therapeutic Gain Strategies in Cancer Treatment
publication
Evidence: moderate
Author Information
Author(s): Radivoyevitch Tomas, Loparo Kenneth A, Jackson Robert C, Sedwick W David
Primary Institution: Case Western Reserve University
Hypothesis
Can mathematical models of cancer processes improve treatment strategies for different types of leukemia?
Conclusion
Mathematical models can help define cancer treatment strategies that selectively target malignant cells while sparing normal cells.
Supporting Evidence
- Mathematical models of cancer processes are increasingly common and can have predictive capabilities.
- The direct approach aims to selectively kill cancer cells while sparing normal cells.
- The indirect approach seeks to improve outcomes for non-curable cancers by mimicking curable cases.
Takeaway
This study looks at how we can use math to create better cancer treatments that hurt the bad cells but not the good ones.
Methodology
The study formulates two therapeutic gain strategies using mathematical models and control theory.
Limitations
The models may not capture all critical determinants of treatment failure.
Statistical Information
P-Value
p<0.06
Digital Object Identifier (DOI)
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