The role of gastric atrophy in the association between Helicobacter pylori infection and esophageal adenocarcinoma
Menée à partir de données 1993-2004 portant sur 435 patients atteints d'un adénocarcinome de l'oesophage et 1 298 témoins, cette étude analyse le rôle de l'atrophie gastrique dans l'association entre une infection par Helicobacter pylori et le risque de développer la maladie
Background: The mechanism underlying pathways between H. pylori infection, gastric atrophy, and esophageal adenocarcinoma (EAC) is yet to be quantitatively investigated.
Methods: 435 patients with EAC and 1298 cancer free subjects were included from the International Barrett’s and Esophageal Adenocarcinoma Consortium (BEACON). Samples collected from 1993 to 2004. Gastric atrophy was determined by serum pepsinogens. H. pylori infection was assessed by antibodies against 15 antigens. Logistic regression models were fitted to estimate odds ratio, to quantify the association between antibodies and gastric atrophy. The 4-way decomposition of the overall effect in natural direct and indirect effects was used to measure the intermediate effects of mediators between H. pylori and EAC, while also considering their role as effect modifiers.
Results: Seropositivity for 15 H. pylori antigens was associated with a lower risk of EAC; the ORs ranged from 0.44 (95% CI; 0.40-0.49) to 0.91 (95% CI; 0.84-0.98). Seropositivity for multiple antigens was also associated with a reduced risk of EAC. The effect of H. pylori infection was not mediated through gastric atrophy, body mass index (BMI), and gastroesophageal reflux disease (GERD), whether these factors were examined individually or jointly, as the estimates of natural indirect effects were close to 0. Conclusions: This study confirmed the inverse association between H. pylori and EAC, which was not mediated by gastric atrophy nor the combination with BMI and GERD.
Impact: It suggests refining EAC risk prediction models and exploring other potential mediators and pathways between H. pylori and EAC.
Cancer Epidemiology, Biomarkers & Prevention , article en libre accès, 2026