Integrating Models to Quantify Environment-Mediated Drug Resistance

Cancer Res. 2017 Oct 1;77(19):5409-5418. doi: 10.1158/0008-5472.CAN-17-0835. Epub 2017 Jul 28.

Abstract

Drug resistance is the single most important driver of cancer treatment failure for modern targeted therapies, and the dialog between tumor and stroma has been shown to modulate the response to molecularly targeted therapies through proliferative and survival signaling. In this work, we investigate interactions between a growing tumor and its surrounding stroma and their role in facilitating the emergence of drug resistance. We used mathematical modeling as a theoretical framework to bridge between experimental models and scales, with the aim of separating intrinsic and extrinsic components of resistance in BRAF-mutated melanoma; the model describes tumor-stroma dynamics both with and without treatment. Integration of experimental data into our model revealed significant variation in either the intensity of stromal promotion or intrinsic tissue carrying capacity across animal replicates. Cancer Res; 77(19); 5409-18. ©2017 AACR.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, N.I.H., Extramural

MeSH terms

  • Animals
  • Drug Resistance, Neoplasm*
  • Focal Adhesion Kinase 1 / antagonists & inhibitors*
  • Humans
  • Indoles / pharmacology
  • Melanoma / drug therapy*
  • Melanoma / metabolism
  • Melanoma / pathology
  • Mice
  • Models, Theoretical*
  • Molecular Targeted Therapy*
  • Proto-Oncogene Proteins B-raf / antagonists & inhibitors*
  • Stromal Cells / drug effects*
  • Stromal Cells / metabolism
  • Stromal Cells / pathology
  • Sulfonamides / pharmacology
  • Tumor Cells, Cultured
  • Tumor Microenvironment / drug effects
  • Xenograft Model Antitumor Assays

Substances

  • Indoles
  • PLX 4720
  • Sulfonamides
  • Focal Adhesion Kinase 1
  • Ptk2 protein, mouse
  • Proto-Oncogene Proteins B-raf