Proteomics based selection achieves complete response to HER2 therapy in HER2 IHC 0 breast cancer

Laura E Johnston1, Jamie Randall1, Safae Chouraichi1

  • 1Inova Schar Cancer Institute, Inova Health System, 8081 Innovation Park Dr, Fairfax, VA, USA.

NPJ Precision Oncology
|September 14, 2024
PubMed

Insights

A proteomic assay identified HER2 protein expression in a patient with HER2-negative breast cancer, leading to a complete response to trastuzumab deruxtecan (T-DXd) therapy. This suggests proteomics can identify patients who may benefit from T-DXd despite traditional HER2-negative classifications.

Area of Science:

  • Oncology
  • Molecular Biology
  • Proteomics

Background:

  • Trastuzumab deruxtecan (T-DXd) shows efficacy in HER2-negative cancers, but patient selection remains challenging.
  • Current HER2 assays (IHC, FISH) may inaccurately assess HER2 expression in unamplified tumors.

Purpose of the Study:

  • To investigate the utility of a proteomic assay in identifying HER2 expression in a HER2-negative patient.
  • To explore potential biomarkers for predicting T-DXd response in traditionally HER2-negative breast cancer.

Main Methods:

  • Case study of a heavily pre-treated triple-negative breast cancer patient with HER2 IHC 0.
  • Utilized a CLIA-certified reverse-phase protein array (RPPA) for proteomic analysis.
  • Quantified total HER2 protein expression and HER2 activation (pY1248).

Main Results:

  • The patient, initially HER2 IHC 0, showed moderate HER2 protein expression (HER2Total 2+, 42%) and activation (HER2Y1248 1+, 23%) via RPPA.
  • Achieved a complete response to T-DXd therapy.
  • Proteomic findings suggested eligibility for T-DXd despite conventional HER2-negative status.

Conclusions:

  • Proteomics-based assays may offer a more accurate method for quantifying HER2 expression and activation in HER2 unamplified/IHC 0 settings.
  • This approach could identify patients eligible for HER2-directed therapies like T-DXd who might otherwise be excluded.
  • Highlights the potential of advanced proteomic techniques for personalized cancer treatment selection.