Serum Pepsinogen as a Biomarker of Gastrointestinal Stromal Tumors (GIST) in Stomach.

ABSTRACT:

Background

Gastric GISTs (GG) are significant mesenchymal tumors. No biomarker has been identified for GG detection. We first observed mucosal atrophy surrounding GG tumors, leading to the hypothesis that localized atrophy may alter serum pepsinogen (PG) levels. Therefore, we developed a machine learning (ML) model incorporating serum PG levels and clinical features to predict GG and differentiate it from gastric cancer (GC).

Methods

We retrospectively analyzed GG and GC patients with tested PG levels before medical intervention. Seven ML algorithms were assessed, and feature importance was determined using SHapley Additive exPlanations (SHAP). Gastric atrophy was assessed histologically using the updated Sydney System.

Results

After screening 562 GG and 1090 GC patie

SUBMITTER: Gao Z 

PROVIDER: S-EPMC12406084 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature