ArticleTranslational cancer research2026
ITPG: an immune-related transcriptomic predictive model for gastric cancer prognosis.
Article in Translational cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Although the global incidence of gastric cancer (GC) has declined over the past 5 years, it remains the fourth leading cause of cancer-related mortality worldwide. Given the molecular heterogeneity of GC, survival outcomes can vary significantly among patients receiving the same treatment at the same stage. Therefore, this study aimed to develop and validate a robust prognostic model for GC that complements the current staging system, to ultimately facilitate better clinical decision-making. Methods: Utilizing gene expression data from four independent cohorts comprising 1,305 GC patients, we developed and validated the immune-related transcriptomic predictive model for gastric cancer prognosis (ITPG), which incorporates transcriptomic biomarkers and explores gene-gene interactions. Specifically, the ITPG model integrates two genes with main effects ( Results: The ITPG demonstrated strong risk stratification potential in identifying high-risk patients. Compared to those in the lowest 25 Conclusions: The ITPG model is an efficient and clinically relevant tool for prognostic prediction in GC.
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