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July 28, 2025

Immunohistochemistry-based molecular classification using TCGA and ACRG Algorithm in locally advanced and metastatic gastric cancer

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Authors

LCLorna CharlesYNYadav NishaEJEsha Jafa

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Overview

Retrospective analysis classified gastric cancer using immunohistochemistry, revealing survival differences among molecular subtypes, indicating potential for prognostic stratification.

Key Points

  • Molecular classifications align with TCGA and ACRG algorithms to stratify gastric cancer outcomes.
  • 191 patients analyzed showed varying rates of EBV positivity, MSI, and p53 aberrations, linking them to clinical features.
  • TCGA and ACRG classifications effectively correlated specific subtypes with survival rates and clinicopathological features.
  • Findings suggest that immunohistochemistry can serve as a reliable method for prognostic stratification in gastric cancer cohorts.

Cite This Study

Charles et al. (2025) studied this question.

synapsesocial.com/papers/689a093fe6551bb0af8cea03https://doi.org/10.21203/rs.3.rs-7132901/v1
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