Related Experiment Video
Updated: Aug 18, 2026

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
Published on: December 9, 2015
Quantitative model for multiple levels of drug resistance in clinical tumors
Abstract:
A mathematical model to examine the effect of cellular differentiation on phenotypic drug resistance in neoplasms is proposed. Attention is restricted to the maintenance of stem cell proliferative capacity. For fixed mutation rates, tumors in which loss of stem cell capacity occurs with high frequency will have a higher proportion of resistant stem cells than those in which such loss is infrequent. The acquisition of multiple levels of drug resistance will proceed at a disproportionately accelerated pace, which leads to greater degrees of incurability for tumors with a stem cell compartment of a given size. This model directly predicts that the phenotypic heterogeneity of slow-growing advanced clinical tumors will be very great. However, as this heterogeneity depends on both the size and the age of the tumor, there will be a period early in the development of the tumor when it should be susceptible to drug-induced cure. This potential for curability at an early stage may not be reflected in the pattern of drug responsiveness of the advanced tumor.
More Related Videos
09:58Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
Published on: December 9, 2016
10:24Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation
Published on: September 19, 2019
Related Concept Videos
Treatment Resistant Cancers
Treatment Resistent Cancers
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Pharmacodynamic Models: Overview
Pharmacodynamic Models: Linear Concentration–Effect Model
Pharmacodynamic Models: Direct Effect Model and Indirect Response Model