Model-based analysis of HER activation in cells co-expressing EGFR, HER2 and HER3

Harish Shankaran1, Yi Zhang, Yunbing Tan

  • 1Computational Biology and Bioinformatics Group, Pacific Northwest National Laboratory, Richland, Washington, United States of America.

Insights

Mathematical modeling reveals how HER receptor dimerization drives cell signaling in normal physiology and cancer. Understanding these HER (Human Epidermal growth factor Receptor) dimer patterns can inform personalized cancer therapies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Mathematical Modeling

Background:

  • The Human Epidermal growth factor Receptor (HER)/ErbB family is crucial in cell signaling for normal physiology and cancer.
  • HER receptor expression levels and dimerization significantly impact downstream signaling and clinical outcomes.

Purpose of the Study:

  • To develop an integrated mathematical model linking HER receptor expression levels to dimerization and activation.
  • To quantitatively predict HER dimer formation and phosphorylation patterns based on receptor abundance.

Main Methods:

  • Constructed a mathematical model of HER activation and trafficking.
  • Parameterized the model using HER phosphorylation and abundance data from human mammary epithelial cells.
  • Validated the model with experimental data using pertuzumab to block HER2 dimerization.

Main Results:

  • EGFR phosphorylation is driven by HER1-HER1 and HER1-HER2 dimers.
  • HER1-HER2 and HER2-HER3 dimers significantly contribute to HER2 activation, with EGFR levels modulating their importance.
  • HER2-HER3 dimers are primarily responsible for HER3 activation.

Conclusions:

  • The developed model accurately predicts HER dimer phosphorylation based on expression profiles.
  • This quantitative understanding of HER dimer potencies can guide personalized therapeutic strategies in cancer treatment.