Bioinformatics Analysis Identifies as the Key Transcription Factor in Hepatocellular Carcinoma Progression.

METHODS

Differentially transcription factors (DETFs) were identified from differentially expressed genes (DEGs) in GSE62232 and transcription factors. Then, they were analyzed by regulatory networks, prognostic risk model, and overall survival analyses to identify the key DETF. Combined with the regulatory networks and binding site analysis, the target mRNA of key DETF was determined, and its prognostic value in HCC was evaluated by survival, clinical characteristics analyses, and experiments. Finally, the expressions and functions of the key DETF on the DEmRNAs were investigated in HCC cells.

RESULTS

Through multiple bioinformatics analyses, was identified as the key DETF, and was predicted to be its target mRNA with the common binding site of CCAGCAACTGGCC, both downregulated in HCC. In survival analysis, high was related to better HCC prognosis, and was differentially expressed in HCC patients with clinical characteristics. Furthermore, cell experiments showed the mRNA expressions of and were both reduced in HCC, and their overexpressions suppressed the growth, invasion, and migration of HCC cells. Besides, over- could upregulate expression in HCC cells.

CONCLUSION

This study identifies two suppressor genes in HCC progression, and , and the key transcription factor suppresses HCC progression by targeting mRNA. They are both potential treatment targets and prognostic biomarkers for HCC patients, which provides new clues for HCC research.