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Updated: Jun 6, 2025
Author Spotlight: Investigating Immune Cell Dynamics in the Tumor Microenvironment — Challenges and Innovations in Cancer Prognosis
Published on: April 12, 2024
Prognostic effect of immunohistochemically determined molecular subtypes in gastric cancer
Jefim Brodkin1, Tuomas Kaprio2,3, Jaana Hagström2,4,5
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.
Introduction:
Gastric cancer is the fifth most common cancer worldwide and the fourth most common cause of cancer-related death. Two molecular subtyping classifications were recently introduced: The Cancer Genome Atlas (TCGA) and the Asian Cancer Research Group (ACRG) classifications.
Methods:
We classified a cohort of 283 gastric cancer patients undergoing surgery at Helsinki University Hospital between 2000 and 2009. We constructed a tumour tissue microarray immunostained for the following markers: microsatellite instability (MSI) markers MSH2, MSH6, MLH1, and PMS2; p53; E-cadherin; and EBERISH.
Results:
In the univariate survival analysis for disease-specific survival, the Epstein-Barr virus (EBV) -positive subtype exhibited the worst prognosis with a hazard ratio (HR) of 2.49 (95% confidence interval [CI] 1.19-5.25, p = 0.016) compared with the most benign subtype, chromosomal instability (CIN). Using TCGA's classification, the genetically stable (GS) and MSI subtypes exhibited a worse survival compared with CIN (HR 1.73 [95% CI 1.15-2.60], p = 0.009 and HR 1.74 [95% CI 1.06-2.84], p = 0.027, respectively). Using the ACRG classification, the p53 aberrant subtype exhibited the best prognosis, whereas wild-type p53, MSI, and the epithelial-mesenchymal transition (EMT) subtypes exhibited poorer prognoses (EMT: HR 1.90 [95% CI 1.30-2.77], p < 0.001) when compared with aberrant p53.
Conclusions:
Immunohistochemical analysis can identify prognostically different molecular subtypes of gastric cancer. The method is inexpensive and fast, yet reveals significant information for clinical decision-making. However, our study did not find that either molecular subtyping performed better than the other classification. Thus, further development of the most optimal grouping of different molecular subtypes is still needed.
