CHI3L1: a key driver in gastritis-to-cancer transformation.

ABSTRACT:

Background

Gastric cancer, recognized as one of the most lethal malignancies globally, progresses through a complex, multi-stage development. Elucidating the pathogenic mechanisms behind gastric carcinogenesis and identifying early diagnostic biomarkers are pivotal for decreasing the prevalence of gastric cancer.

Methods

Using datasets on gastric cancer and its transformation from gastritis, we employed machine learning to create an early diagnostic model, identifying key genes and evaluating accuracy. We prioritized genes in the gastritis-to-cancer progression, identifying a central driver gene. Pathway analysis revealed its transformation role. Tissue microarrays and rat models validated the driver genes and networks, confirmed in cell and organoid models. We also identifi

SUBMITTER: Li T 

PROVIDER: S-EPMC11921547 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature