EHBMT, a method for visualizing tumor evolution, identifies a surge in gastric cancer with hybrid epithelial-mesenchymal phenotypes due to an inflammatory microenvironment.

ABSTRACT: A method for analyzing tumor evolution based on bulk RNA-sequencing data has not been reported yet. The epithelial-mesenchymal transition (EMT) is an evolutionarily conserved cellular program with high heterogeneity and plasticity. In this study, we proposed an EMT heterogeneity-based molecular typing (EHBMT) method to visualize cancer evolution and guide personalized medicine. Multiplex immunohistochemical assay and single-cell analysis were performed to confirm the feasibility of this method. EHBMT divided gastric (cancer) tissues into an epithelial phenotype cluster (EPC), hybrid epithelial-mesenchymal phenotype cluster (HPC) and mesenchymal phenotype cluster (MPC). Patients with gastric cancer with different EHBMT subtypes possessed distinct clinical features, molecular characteristics

SUBMITTER: Li D 

PROVIDER: S-EPMC12686072 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature