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Published on: November 22, 2021
Metrics other than potency reveal systematic variation in responses to cancer drugs
Mohammad Fallahi-Sichani1, Saman Honarnejad, Laura M Heiser
1Harvard Medical School Library of Integrated Network-based Cellular Signatures Center, Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA.
Abstract:
Large-scale analysis of cellular response to anticancer drugs typically focuses on variation in potency (half-maximum inhibitory concentration, (IC50)), assuming that it is the most important difference between effective and ineffective drugs or sensitive and resistant cells. We took a multiparametric approach involving analysis of the slope of the dose-response curve, the area under the curve and the maximum effect (Emax). We found that some of these parameters vary systematically with cell line and others with drug class. For cell-cycle inhibitors, Emax often but not always correlated with cell proliferation rate. For drugs targeting the Akt/PI3K/mTOR pathway, dose-response curves were unusually shallow. Classical pharmacology has no ready explanation for this phenomenon, but single-cell analysis showed that it correlated with significant and heritable cell-to-cell variability in the extent of target inhibition. We conclude that parameters other than potency should be considered in the comparative analysis of drug response, particularly at clinically relevant concentrations near and above the IC50.
Insights
Beyond drug potency (IC50), multiparametric analysis reveals other crucial factors in anticancer drug response. Understanding dose-response curve parameters and cell variability is key for effective cancer treatment strategies.
Area of Science:
- Pharmacology
- Cell Biology
- Cancer Therapeutics
Background:
- Anticancer drug efficacy is often assessed solely by potency (IC50).
- This focus overlooks other critical pharmacological parameters influencing drug response.
- Cellular heterogeneity can complicate drug response assessments.
Purpose of the Study:
- To investigate multiparametric dose-response characteristics of anticancer drugs.
- To explore the relationship between drug response parameters and cell characteristics.
- To identify factors beyond potency affecting drug efficacy and resistance.
Main Methods:
- Large-scale cellular response analysis using a multiparametric approach.
- Evaluation of dose-response curve slope, area under the curve (AUC), and maximum effect (Emax).
- Single-cell analysis to investigate cell-to-cell variability in target inhibition.
Main Results:
- Drug response parameters vary systematically with cell line and drug class.
- For cell-cycle inhibitors, Emax often correlates with proliferation rate.
- Akt/PI3K/mTOR pathway inhibitors exhibit shallow dose-response curves linked to target inhibition variability.
Conclusions:
- Potency (IC50) alone is insufficient for comprehensive drug response analysis.
- Multiparametric evaluation, including Emax and curve shape, provides deeper insights.
- Cell-to-cell variability in target inhibition influences drug response, especially at higher concentrations.
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