Background: Finding reliable diagnostic markers for gastric cancer (GC) is important. This
work uses machine learning (ML) to identify GC diagnostic genes and investigate their …

Background Gastric cancer (GC) is the fifth most common cancer and the second leading
cause of cancer-related deaths worldwide. Due to the lack of specific markers, the early …

Simple Summary This study aimed to pinpoint immune-related genes that show heightened
activity in cancerous tissue and explore their correlation with cell infiltration in the tumor …

Background Emerging evidence indicates that immune infiltrating cells in tumor
microenvironment (TME) correlates with the development and progression of gastric cancer …

Gastric cancer (GC) is the most common malignant tumor in the digestive system, traditional
radiotherapy and chemotherapy are not effective for some patients. The research progress …

Key words: Gastric cancer, gene expression profiling, bioinformatics analysis, weighted
gene co-expression network analysis, neural network model. Gastric cancer (GC) is the fifth …

Gastric cancer (GC) is one of the most common malignancies of the digestive system with
few genetic markers for its early detection and prevention. In this study, differentially …

Objective: Through bioinformatics analysis to screen key immune-related genes (IRGs) and
cancer-related pathways in gastric adenocarcinoma (GAC) therapy, combining immune cell …

Background Although immunotherapy has achieved success in treating various refractory
malignancies including gastric cancers (GCs) with DNA mismatch repair deficiency, only a …

Background: The molecular mechanisms underlying gastric cancer (GC) progression are
unclear. The authors examined key genes associated with the prognosis and tumor …