A Quantitative Model of Chemotherapeutic Drug Sensitivity as a Function of P-Glycoprotein Expression
Cara M. Robertus, Nisha Kannan, David Putnam

TL;DR
This study shows that drug sensitivity in cancer cells is linearly related to P-glycoprotein levels, offering a quantitative model for predicting chemotherapeutic response.
Contribution
The study establishes a linear and first-order mathematical relationship between P-glycoprotein expression and drug sensitivity in cancer cells.
Findings
Chemotherapeutic sensitivity is linearly related to P-glycoprotein expression in two model cell lines.
Calcein accumulation and influx rate follow first-order kinetics with respect to P-glycoprotein density.
Vmax in transport kinetics varies linearly with P-glycoprotein density according to a Michaelis–Menten model.
Abstract
(1) Background: Overexpression of P-glycoprotein (P-gp) is one mediator of multidrug resistance in cancer. While many studies demonstrate the efficacy of modulating P-glycoprotein expression to increase drug response in cancer cells, the nature of the mathematical relationship between drug sensitivity and P-glycoprotein surface density is not yet characterized. (2) Methods: In this study, we employ siRNA to modulate P-gp expression in two model cell lines and evaluate their steady-state response to three common chemotherapeutics in vitro. Additionally, we model the kinetics of calcein-AM, a P-gp substrate, as a function of P-gp expression. (3) Results: For both cell lines, a robust linear relationship governs chemotherapeutic sensitivity as a function of P-gp expression, demonstrating that characterization of P-gp surface density is a strong indicator of drug response in drug-resistant…
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Taxonomy
TopicsDrug Transport and Resistance Mechanisms · Cancer therapeutics and mechanisms · Pharmacogenetics and Drug Metabolism
