Related Experiment Video

Updated: Oct 18, 2025

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
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A protein network map of head and neck cancer reveals PIK3CA mutant drug sensitivity

Danielle L Swaney1,2,3,4, Dana J Ramms4,5,6, Zhiyong Wang4,6

  • 1Quantitative Biosciences Institute (QBI), University of California San Francisco, San Francisco, CA, USA.

Science (New York, N.Y.)
|September 30, 2021
PubMed

Insights

This study introduces a new framework using protein maps to understand head and neck cancer. It identified new interactions that drive cancer cell migration and inform treatment strategies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Tumor genetic complexity presents a significant challenge in understanding cancer biology.
  • Head and neck squamous cell carcinoma (HNSCC) requires novel approaches for molecular characterization.

Purpose of the Study:

  • To develop and apply a framework for elucidating tumor genetic complexity using multidimensional protein-protein interaction (PPI) maps.
  • To enhance the understanding of HNSCC by identifying key molecular interactions and pathways.

Main Methods:

  • Construction of multidimensional PPI networks integrating data from cancer and noncancerous cell states.
  • Analysis of wild-type (WT) and mutant protein isoforms within the PPI network.
  • Prioritization of cancer-enriched and mutation-enriched interactions.

Main Results:

  • The PPI network revealed 771 interactions, including WT and mutant protein isoforms.
  • A novel association was identified between fibroblast growth factor receptor tyrosine kinase 3 (FGFR3) and Daple, activating Gαi and p21-activated protein kinase 1/2 (PAK1/2) to promote HNSCC cell migration.
  • Mutation-enriched interactions between human epidermal growth factor receptor 3 (HER3) and PIK3CA were observed, offering insights into HER3 inhibition efficacy.

Conclusions:

  • The developed framework provides a powerful tool for translating genetic alterations into molecular and clinical insights.
  • The identified FGFR3-Daple and HER3-PIK3CA interactions offer new therapeutic targets and predictive biomarkers for HNSCC.
  • This approach is anticipated to be valuable across various disease areas for understanding underlying molecular biology.

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