Identification of hub genes associated with esophageal cancer progression using bioinformatics analysis.

The underlying causes of esophageal cancer (EC) are unknown. To explore the molecular mechanisms that lead to EC, gene expression profiles of large cohorts of patients with EC were obtained from The Cancer Genome Atlas and the Gene Expression Omnibus (GEO) databases (GSE5364, GSE20347 and GSE23400). The present study identified 83 upregulated and 22 downregulated genes between EC and normal tissue using R statistical software and the GEO2R web tool.

Overexpression of VEGF-C and MMP-9 predicts poor prognosis in Kazakh patients with esophageal squamous cell carcinoma.

Vascular endothelial growth factor (VEGF and Matrix metalloproteinases (MMPs) are believed to participate in infiltration of tumors. High mortality of esophageal squamous cell carcinoma (ESCC) related to its primary infiltration; however, it is not clear whether the expression of VEGF and MMPs is involved in this process. Screening of The Cancer Genome Atlas (TCGA) database showed that among the family and , , and mRNA were overexpression in ESCC.

Prognostic impact of tumor-associated macrophage infiltration in esophageal cancer: a meta-analysis.

To provide clarity surrounding the association between tumor-associated macrophages (TAMs) and esophageal cancer prognosis. Several databases were searched. The meta-analysis was conducted by using software Stata 12.