The Visualization of Protein-Protein Interactions in Breast Cancer: Deployment Study in Pathological Examination

Erina Iwabuchi1, Yasuhiro Miki2, Hironobu Sasano1

  • 1Department of Pathology, Tohoku University Graduate School of Medicine, Sendai, Japan.

Insights

Protein-protein interactions (PPIs) involving estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER2) are crucial in breast cancer. Visualizing these PPIs, like CEACAM6 with HER2, can guide targeted therapy selection.

Area of Science:

  • Oncology
  • Molecular Biology
  • Biopathology

Background:

  • Breast cancer treatment relies on protein expression (ER, PR, HER2) via immunohistochemistry in FFPE tissues.
  • Proteins rarely function in isolation; their roles are often defined by protein-protein interactions (PPIs).
  • Understanding PPIs is critical for comprehensive breast cancer analysis.

Purpose of the Study:

  • To review the protein-protein interactions (PPIs) of estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER2) in breast cancer.
  • To highlight the utility of proximity ligation assays for visualizing PPIs in FFPE tissues.
  • To explore the potential of CEACAM6-HER2 interactions as a predictive biomarker for trastuzumab efficacy.

Main Methods:

  • Review of existing literature on ER and HER2 PPIs in breast cancer.
  • Focus on proximity ligation assay (PLA) for detecting PPIs in formalin-fixed paraffin-embedded (FFPE) tissues.
  • Discussion of CEACAM6-HER2 interaction detection in pathological specimens.

Main Results:

  • Summarized key PPIs involving ER and HER2 in breast cancer.
  • Demonstrated the capability of PLA to visualize PPIs in FFPE breast cancer samples.
  • Identified CEACAM6-HER2 interaction as a potential surrogate marker for trastuzumab response.

Conclusions:

  • PPIs are integral to breast cancer biology and therapeutic strategies.
  • Proximity ligation assay offers a novel method for assessing PPIs in clinical pathology.
  • Detecting specific PPIs, such as CEACAM6-HER2, can enhance personalized drug selection in breast cancer treatment.