Published online Mar 15, 2025. doi: 10.4251/wjgo.v17.i3.100521
Revised: December 18, 2024
Accepted: January 2, 2025
Published online: March 15, 2025
Processing time: 179 Days and 15 Hours
The problem of gastric cancer (GC) prevention remains relevant for a long time. Various methods of population serological screening of atrophic gastritis and precancerous changes in the gastric mucosa have been created at present. Modern endoscopic and morphological methods of verification of the diagnosis of precancerous diseases and changes in the gastric mucosa have been introduced into the practice of gastroenterologists and oncologists. GC risk stratification systems allow the formation of risk groups that require population screening. Practical hints for population serological screening of atrophic gastritis, endoscopic and morphological verification of precancerous changes and diseases of the stomach recommend using it: When developing state programs for the prevention of stomach cancer; when implementing preventive measures for stomach cancer by doctors of all specialties; the authors also offer the possibility of use by anyone over the age of 40, provided that they seek methodological help from their doctor; in the work of health schools in any medical and preventive institutions. The use of an assessment system of certain risk factor signatures with prognostic value would add significant assistance to preventive measures against GC.
Core Tip: The authors present a consistent system of population-based serological screening for precancerous diseases and changes in the gastric mucosa as a first-line screening strategy. The use of modern endoscopic and morphological diagnostic methods to verify pre-cancerous pathology of the stomach is recommended as a second line of screening for precancerous condition of the stomach. A detailed description of the markers of these pathological changes is given in the manuscript. Recent advances in research to identify the risk factors for stomach cancer have made it possible to use specific science to predict this deadly disease.