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Updated: Feb 25, 2026

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
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Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms

Published on: December 9, 2015

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Integrating Models to Quantify Environment-Mediated Drug Resistance

Noemi Picco1,2, Erik Sahai3, Philip K Maini2

  • 1Integrated Mathematical Oncology Department, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida. noemi.picco@maths.ox.ac.uk.

Cancer Research
|July 30, 2017
PubMed

Insights

Mathematical modeling revealed how tumor-stroma interactions drive drug resistance in BRAF-mutated melanoma, distinguishing intrinsic and extrinsic resistance factors. This work bridges experimental and theoretical models for better treatment strategies.

Area of Science:

  • Oncology
  • Mathematical Biology
  • Cancer Research

Background:

  • Drug resistance is a primary cause of treatment failure in targeted cancer therapies.
  • Tumor-stroma interactions influence treatment response through signaling pathways.

Purpose of the Study:

  • To investigate tumor-stroma interactions in facilitating drug resistance.
  • To differentiate intrinsic and extrinsic resistance components in BRAF-mutated melanoma using mathematical modeling.

Main Methods:

  • Utilized mathematical modeling to simulate tumor-stroma dynamics with and without targeted therapy.
  • Integrated experimental data to parameterize and validate the model.
  • Analyzed variations in stromal promotion and tissue carrying capacity.

Main Results:

  • Identified significant variability in stromal influence and intrinsic tissue capacity across experimental replicates.
  • The model successfully separated intrinsic and extrinsic factors contributing to drug resistance.
  • Demonstrated the role of tumor-stroma crosstalk in acquired resistance.

Conclusions:

  • Tumor-stroma interactions play a critical role in the development of drug resistance in BRAF-mutated melanoma.
  • Mathematical modeling provides a framework to understand complex biological systems and resistance mechanisms.
  • Findings highlight the need to consider the tumor microenvironment in designing effective cancer therapies.

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