Related Experiment Video
Updated: Jan 16, 2026

Author Spotlight: Advancing Early Detection and Treatment of Gastrointestinal Tumors
Published on: February 16, 2024
A tumor microenvironment-based classification of gastric cancer for more effective diagnosis and treatment
Simona O Dima1, Andrei Sorop2, Shuji Kitahara3
1Center of Excellence in Translational Medicine, Fundeni Clinical Institute, Bucharest, Romania; Center of Digestive Diseases and Liver Transplantation, Fundeni Clinical Institute, Bucharest, Romania; Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.
Abstract:
With approximately one million diagnosed cases and over 700,000 deaths recorded annually, gastric cancer (GC) is the third most common cause of cancer-related deaths worldwide. GC is a heterogeneous tumor. Thus, optimal management requires biomarkers of prognosis, treatment selection, and treatment response. The Cancer Genome Atlas program sub-classified GC into molecular subtypes, providing a framework for treatment personalization using traditional chemotherapies or biologics. We hypothesized that integrating immunohistochemistry markers, tumor gene expression profiles, and serum cytokines would define biologically distinct subtypes of gastric cancer and associate with overall survival independently of clinicopathologic factors and provide incremental prognostic value beyond existing classifications. Here, we report a comprehensive study of GC vascular and immune markers associated with tumor microenvironment (TME) based on stage and molecular subtypes, and their correlation with outcomes. Using tissues and blood circulating biomarkers and a molecular classification, we identified tumor archetypes, which show that the TME evolves with the disease stage and is a determinant of prognosis. Moreover, our TME-based subtyping strategy allowed the identification of archetype-specific prognostic biomarkers such as CDH1-mutant GC and circulating IL-6 that provided information beyond and independent of TMN staging, MSI status, and consensus molecular subtyping. The results show that integrating molecular subtyping with TME-specific biomarkers could contribute to improved patient prognostication and may provide a basis for treatment stratification, including for contemporary anti-angiogenesis and immunotherapy approaches.

