Gastric Cancer Management and Outcomes

Prognostic value, signal interaction network, and immune infiltration characteristics of MET gene expression in gastric cancer analyzed by multi-database bioinformatics

This study analyzes MET gene expression in gastric cancer using multi-database bioinformatics to assess its prognostic value, molecular mechanisms, and immune infiltration patterns.

Basal gland localization and focal distribution of OLFM4-expressing cells in increasing severity of gastric intestinal metaplasia

The paper identifies OLFM4 as a marker of high-risk gastric intestinal metaplasia, showing its restricted localization to epithelial glands and focal expansion with disease severity.

Transcriptional Signatures of Field Cancerization in Gastric Cancer

The paper identifies a 138-gene transcriptional signature in gastric cancer peritumoral tissue that is conserved in tumors and associated with poor prognosis.

Integrated Analysis of Glycosylation and Inflammation-Related Genes for Prognostic Risk Modeling and Immunotherapy Response Prediction in Gastric Cancer

This paper constructs a six-gene prognostic signature for gastric cancer by integrating glycosylation and inflammation-related genes, showing its association with survival, immune infiltration, and drug sensitivity.

MOLECULAR STRATIFICATION OF INTESTINAL AND DIFFUSE SUBTYPES OF GASTRIC ADENOCARCINOMA AND ITS PROGNOSTIC IMPACT

This study identifies molecular subtypes of gastric adenocarcinoma that correlate with prognosis but find that neither histology nor a derived signature alone reliably stratifies survival.

Integrated Expression Analysis of C-MYC Oncogene-Associated Pathways in Gastric Adenocarcinoma and its Correlation with Clinicopathological Factors

This study analyzes the expression of C-MYC and its associated pathways in gastric adenocarcinoma, identifying dysregulated genes and their correlation with clinicopathological factors.

GASTRIC CANCER BASED ON TRANSCRIPTION FACTORS

This study identifies differentially expressed transcription factors in gastric adenocarcinoma using NGS and bioinformatics, revealing potential biomarkers for prognosis and treatment.

EXPRESSION INSIGHTS INTO GASTRIC ADENOCARCINOMA: NETWORK ANALYSIS REVEALS KEY HUB GENES AND FUNCTIONAL MODULES

The paper uses coexpression network analysis on RNA-seq data to identify key hub genes and modules associated with gastric adenocarcinoma, revealing potential diagnostic biomarkers and tumor microenvironment interactions.

CXCL12, SCF, and eotaxin are prognostic serum biomarkers in gastric cancer

The paper identifies CXCL12, SCF, and eotaxin as prognostic serum biomarkers for gastric cancer using univariate and multivariate survival analysis.

Loss of Kmt2c/d promotes gastric cancer initiation and confers vulnerability to mTORC1 inhibition and anti-PD1 immunotherapy

This study shows that loss of Kmt2c/d promotes gastric cancer initiation and makes tumors sensitive to mTORC1 inhibitors and anti-PD1 immunotherapy.

Loss of heterozygosity in gastric cancers in a set of Mexican patients

The paper identifies loss of heterozygosity (LOH) genes in gastric cancers from Mexican patients and associates them with specific cancer hallmarks and pathways.

Multi-omics Identification and Route-Specific Characterization of Metastasis-specific EMT Genes and Their Microenvironmental Interactions

The paper identifies metastasis-specific EMT genes in gastric cancer and shows their route-specific expression and association with fibroblast populations and poor prognosis.

Identifying gastric cancer molecular subtypes by integrating DNA-based hierarchical classification strategy and clinical stratification

This study develops a DNA-based classifier for gastric cancer molecular subtyping, achieving high accuracy and improved clinical stratification.

Investigation of the underlying hub genes and molecular pathogenesis in gastric cancer by integrated bioinformatic analyses

This study identifies hub genes in gastric cancer using bioinformatics analysis of microarray and RNA-seq data, finding 10 genes associated with GC pathogenesis.

Molecular and cellular heterogeneity of gastric cancer explained by methylation-driven key regulators

The paper identifies 11 methylation-driven key regulators in gastric cancer and shows they contribute to tumor heterogeneity and clinical outcomes.