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Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors
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Molecular-Like Classification in Gastric Adenocarcinomas: Correlation with Clinicopathological Features and Prognosis
Gamze Dal1, Asuman Argon2, Özlem Özdemir3
1Departments of Pathology, University of Health Sciences, Konya Beyhekim Training and Research Hospital, Konya, Turkey.
International Journal of Surgical Pathology
|January 6, 2026
Summary
This study introduces a cost-effective molecular-like classification for gastric cancer, identifying distinct prognostic groups. This approach aids in predicting patient outcomes and guiding treatment strategies for this complex disease.
Area of Science:
- Oncology
- Molecular Pathology
- Cancer Genomics
Background:
- Gastric cancer classification is complex and costly.
- Need for accessible prognostic tools in gastric cancer management.
Purpose of the Study:
- Establish a molecular-like classification for gastric cancer.
- Correlate this classification with clinicopathological features.
- Investigate its prognostic significance.
Main Methods:
- Utilized immunohistochemistry and FISH on 202 gastric cancer patient samples.
- Classified tumors into EBV-positive (EBV+), microsatellite instability (MSI), genomically stable (GS), chromosomal unstable (CUN), and unclassifiable (G-NOS) groups.
- Analyzed clinicopathological features and survival data.
Main Results:
- Identified distinct associations between molecular-like subtypes and tumor morphology (e.g., EBV+ with high-grade, GS with poorly cohesive).
- Microsatellite instability (MSI) tumors showed least tumor budding, while genomically stable (GS) tumors showed most.
- The EBV+ group had the longest survival, while the GS group had the shortest.
Conclusions:
- A molecular-like classification offers a low-cost, practical method for predicting gastric cancer prognosis.
- Further large-scale molecular studies are needed to validate its role against established molecular classifications.

