Prognostic effect of immunohistochemically determined molecular subtypes in gastric cancer
- Jefim Brodkin 1, Tuomas Kaprio 2,3, Jaana Hagström 2,4,5, Alli Leppä 3, Arto Kokkola 3, Caj Haglund 2,3,4, Camilla Böckelman 2,3
- Jefim Brodkin 1, Tuomas Kaprio 2,3, Jaana Hagström 2,4,5
- 1Translational Cancer Medicine Research Program, Faculty of Medicine, University of Helsinki, PO Box 340, Haartmaninkatu 4, Helsinki, HUS , FIN-00029, Finland. jefim.brodkin@helsinki.fi.
- 2Translational Cancer Medicine Research Program, Faculty of Medicine, University of Helsinki, PO Box 340, Haartmaninkatu 4, Helsinki, HUS , FIN-00029, Finland.
- 3Department of Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
- 4Department of Pathology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
- 5Department of Oral Pathology and Radiology, University of Turku, Turku, Finland.
- 0Translational Cancer Medicine Research Program, Faculty of Medicine, University of Helsinki, PO Box 340, Haartmaninkatu 4, Helsinki, HUS , FIN-00029, Finland. jefim.brodkin@helsinki.fi.
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View abstract on PubMed
Summary
This summary is machine-generated.Gastric cancer molecular subtypes identified by immunohistochemistry show different prognoses. While EBV-positive and MSI subtypes indicate poorer survival, further research is needed to optimize subtyping for clinical decisions.
Area Of Science
- Oncology
- Molecular Biology
- Cancer Research
Background
- Gastric cancer is a leading cause of cancer death globally.
- Recent advancements include molecular subtyping by TCGA and ACRG.
- Understanding these subtypes is crucial for targeted therapies.
Purpose Of The Study
- To classify gastric cancer patients into molecular subtypes using immunohistochemistry.
- To evaluate the prognostic significance of different molecular subtypes.
- To compare the utility of TCGA and ACRG classifications.
Main Methods
- A cohort of 283 gastric cancer patients was analyzed.
- Tumor tissue microarrays were immunostained for MSI markers, p53, E-cadherin, and EBV-encoded RNA (EBERISH).
- Univariate survival analysis was performed to assess disease-specific survival.
Main Results
- Epstein-Barr virus (EBV)-positive subtype showed the worst prognosis (HR 2.49).
- TCGA classification revealed worse survival for genetically stable (GS) and microsatellite instability (MSI) subtypes.
- ACRG classification indicated poorer prognoses for wild-type p53, MSI, and epithelial-mesenchymal transition (EMT) subtypes.
Conclusions
- Immunohistochemistry can identify prognostically distinct gastric cancer subtypes.
- This method is cost-effective and rapid, providing valuable clinical information.
- Further development is needed to determine the optimal molecular subtyping strategy.
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