Related Experiment Video
Updated: Jul 6, 2025

06:36
Elastic Staining on Paraffin-embedded Slides of pT3N0M0 Gastric Cancer Tissue
Published on: May 1, 2019
7.1K
Implementing an On-Slide Molecular Classification of Gastric Cancer: A Tissue Microarray Study
Simona Costache1,2, Rebecca de Havilland2, Sofia Diaz McLynn2
1Pathology Department, University of Medicine and Pharmacy "Carol Davila", 020021 Bucharest, Romania.
Cancers
|January 11, 2024
Summary
A new molecular classification for gastric cancer (GC) using on-slide biomarkers is feasible and identifies six subgroups for personalized treatment. This approach, utilizing formalin-fixed and paraffin-embedded tissue, aids in selecting appropriate therapies for GC patients.
Area of Science:
- Oncology
- Molecular Pathology
- Cancer Biomarkers
Background:
- Gastric cancer (GC) is a leading cause of cancer death globally.
- Personalized treatment strategies are crucial for improving GC outcomes.
- A molecular classification using accessible on-slide biomarkers on formalin-fixed and paraffin-embedded (FFPE) tissue is needed for guiding therapy.
Purpose of the Study:
- To assess the implementation and feasibility of a modified, inclusive working classification for gastric cancer.
- To categorize GC into six molecular subgroups using on-slide biomarkers.
- To evaluate the utility of biomarkers for targeted therapies within this classification.
Main Methods:
- Construction of a tissue microarray library from 79 FFPE GC resection cases.
- Application of a restricted panel of on-slide markers (EBER, MMR, E-cadherin, beta-catenin, p53).
- Definition of interpretation algorithms and assignment of cases to molecular subtypes.
Main Results:
- The classification assigned a diagnostic subgroup to 92% of cases.
- Molecular subgroup distribution: GC EBV(+) (6%), GC dMMR (20%), GC EMT (14%), GC CIN (23%), GC GS (29%), GC NOS (8%).
- The observed proportions align with findings from other published series.
Conclusions:
- The proposed working classification is practical, utilizing widely available and easily interpretable histopathology markers.
- Widespread implementation of this classification for gastric cancer appears feasible.
- Further studies using endoscopic biopsies are recommended to validate this classification.

