Stratified management of residual gastric cancer risk after eradication.
Despite the established efficacy of eradication in reducing gastric cancer (GC) incidence, a significant residual risk persists in successfully treated individuals, driven by lasting pathological alt
APA
Song L, Yu QY (2026). Stratified management of residual gastric cancer risk after eradication.. Frontiers in microbiology, 17, 1779490. https://doi.org/10.3389/fmicb.2026.1779490
MLA
Song L, et al.. "Stratified management of residual gastric cancer risk after eradication.." Frontiers in microbiology, vol. 17, 2026, pp. 1779490.
PMID
41767558
Abstract
Despite the established efficacy of eradication in reducing gastric cancer (GC) incidence, a significant residual risk persists in successfully treated individuals, driven by lasting pathological alterations termed "oncogenic memory," including irreversible mucosal damage (e.g., intestinal metaplasia), residual pro-inflammatory and epigenetic "molecular scars," and gastric microbiome dysbiosis. This perspective synthesizes current evidence to advocate for a paradigm shift from a singular focus on pathogen clearance towards a comprehensive, risk-adapted management strategy. We propose a novel, dual-dimensional framework centered on a multidimensional risk assessment that integrates OLGA/OLGIM staging, demographic, lifestyle, and genetic factors to stratify post-eradication individuals into distinct risk categories. The framework subsequently outlines tailored surveillance protocols-specifying endoscopy frequency and advanced biomarker application-leverages technological support from AI-assisted endoscopy and molecular testing, and details differentiated resource allocation models based on regional GC incidence and economic development. This integrated approach provides a practical roadmap for implementing precision prevention, aiming to mitigate the lingering GC risk and ultimately reduce the global disease burden through a dynamic, lifelong management system beyond eradication. To facilitate implementation, we provide a user-ready risk calculator that operationalizes the multidimensional score for cohort-level application.
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