Regulatory mechanisms of transcription factors and target genes on gastric cancer by bioinformatics method.
OBJECTIVE
Gastric cancer is one of the most lethal diseases and has caused a global health problem. We aimed to elucidate the major mechanisms involved in the gastric cancer progression.


METHODS
The expression profile GSE13911 was downloaded from GEO database, composing of 31 normal and 38 tumor samples. The transcription factor (TF)--target gene regulatory network and protein-protein interaction (PPI) network related to gastric cancer were obtained from TRED and TRANSFAC databases. After combining the two networks, we constructed an integrated network.


RESULTS
In total, 5255 DEGs in tumor samples were identified, which were mainly enriched in 12 pathways including cell cycle. The integrated network of TF--target gene--protein interaction included 7 genes related to cell cycle, in which E2F1 was predicted to mediate the expression of MCM4, MCM5 and CDC6 through regulating the expression of its target gene MCM3.


CONCLUSIONS
In gastric cancer progression, E2F1 may play vital roles in the involvement of cell cycle pathway through regulating its target gene MCM3, which might interact with MCM4, MCM5 and MCM7. Besides, STAT1 was another potentially critical transcription factor which could regulate multiple target genes.
Tao
T
Jian
Yun
Y
Chen
D016022:Case-Control Studies; D002453:Cell Cycle; D018797:Cell Cycle Proteins / Q000235:genetics* / Q000378:metabolism; D049109:Cell Proliferation; D019295:Computational Biology; D030541:Databases, Genetic; D030562:Databases, Protein; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D006801:Humans; D025941:Protein Interaction Mapping; D060066:Protein Interaction Maps; D013274:Stomach Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000473:pathology; D018511:Systems Integration; D014157:Transcription Factors / Q000235:genetics* / Q000378:metabolism
D018797:Cell Cycle Proteins; D014157:Transcription Factors