Ontology highlight
ABSTRACT: Background
Targeted therapies have improved the clinical outcomes of most patients with cancer. However, the heterogeneity of gastric cancer remains a major hurdle for precision treatment. Further investigations into tumor microenvironment heterogeneity are required to resolve these problems.Methods
In this study, bioinformatic analyses, including metabolism analysis, pathway enrichment, differentiation trajectory inference, regulatory network construction, and survival analysis, were applied to gain a comprehensive understanding of tumor microenvironment biology within gastric cancer using single-cell RNA-seq and public datasets and experiments were carried out to confirm the conclusions of these analyses.Results
We profiled heterogeneous single-cell atlases and id
SUBMITTER: Peng Z
PROVIDER: S-EPMC11420565 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature