Quantification of HER expression and dimerization in patients' tumor samples using time-resolved Förster resonance

Alexandre Ho-Pun-Cheung1, Hervé Bazin, Nadège Gaborit

  • 1Translational Research Unit, CRLC Val d'Aurelle Paul Lamarque, Montpellier, France.

Plos One
|July 26, 2012
PubMed

Insights

New TR-FRET assays quantify human epidermal growth factor receptor (EGFR) and human epidermal growth factor receptor 2 (HER2) expression and dimerization in tumors. This method offers a more comprehensive analysis for potential clinical markers in oncology.

Area of Science:

  • Oncology
  • Biochemistry
  • Molecular Biology

Background:

  • Targeted therapies for EGFR and HER2 are crucial in cancer treatment.
  • Assessing individual receptor levels alone may not predict drug response effectively.
  • Understanding receptor activation through dimerization is key for treatment optimization.

Purpose of the Study:

  • To develop and validate antibody-based time-resolved Förster resonance energy transfer (TR-FRET) assays.
  • To comprehensively analyze EGFR and HER2 expression and dimerization in tumor cryosections.
  • To explore novel clinical markers for optimizing cancer patient treatment.

Main Methods:

  • Development of antibody-based TR-FRET assays.
  • Quantification of EGFR and HER2 expression in 18 breast tumors.
  • Assessment of EGFR and HER2 homo- and heterodimerization using TR-FRET.
  • Comparison with reference methods (IHC, FISH, qPCR).

Main Results:

  • TR-FRET assay showed significant correlation between EGFR number per cell and EGFR mRNA copy number (P<0.0001).
  • The method achieved 100% specificity and sensitivity in detecting HER2 overexpression.
  • Quantification of HER dimerization provided insights into receptor activation beyond single receptor levels.

Conclusions:

  • TR-FRET assays enable precise quantification of HER receptor expression and dimerization.
  • HER dimerization analysis offers critical information on receptor activation.
  • This approach may identify novel biomarkers for personalized cancer therapy.

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