HER2 Heterogeneity in Personalized Therapy of Gastro-Oesophageal Malignancies: An Overview by Different Methodologies

Antonio Ieni1, Roberta Cardia1, Cristina Pizzimenti1

  • 1Department of Human Pathology in Adult and Developmental Age "Gaetano Barresi", Section of Pathology, University of Messina, 98125 Messina, Italy.

Insights

Human epidermal growth factor receptor-2 (HER2) expression in gastro-oesophageal adenocarcinomas (GEA) is key for trastuzumab therapy. This review examines HER2 detection methods and scoring, addressing expression heterogeneity for better treatment selection.

Area of Science:

  • Oncology
  • Gastroenterology
  • Molecular Diagnostics

Background:

  • Human epidermal growth factor receptor-2 (HER2) is a validated therapeutic target in HER2-expressing gastro-oesophageal adenocarcinomas (GEA).
  • Trastuzumab efficacy is well-established in HER2-positive GEA, necessitating accurate HER2 status assessment.

Purpose of the Study:

  • To review current knowledge on HER2 status in dysplastic and neoplastic gastric conditions.
  • To analyze methodologies for identifying HER2 expression/amplification and proposed scoring recommendations.
  • To discuss the impact of HER2 expression heterogeneity on targeted therapy selection in GEA.

Main Methods:

  • Literature review focusing on HER2 assessment in gastric conditions.
  • Analysis of diagnostic procedures for HER2 expression and gene amplification.
  • Evaluation of scoring systems and recommendations for HER2 evaluation.

Main Results:

  • Significant heterogeneity in HER2 protein and gene expression exists in GEA, impacting targeted treatment selection.
  • Current methodologies for HER2 assessment include immunohistochemistry and in situ hybridization.
  • Standardized scoring recommendations are crucial for consistent HER2 evaluation.

Conclusions:

  • Accurate HER2 assessment is critical for guiding trastuzumab therapy in GEA.
  • Future biotechnological advancements will enhance HER2 detection systems.
  • Liquid biopsy and analysis of additional gene mutations may predict HER2 resistance and monitor treatment response.

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