Objective To analyze the clinical significance of MTA1 overexpression in cervical cancer and bioinformatically screen the potential treatment targets from the gene network correlated with MTA1 overexpression. Methods SPSS software package was used to analyze the correlation of MTA1 with clinical metastasis and pathological grade of cervical cancer based on TCGA-CESC data set. The edgeR software was used to screen the gene set whose expression was correlated with MTA1 in cervical cancer at a global transcriptional level. DAVID platform was adopted to identify the enriched biological functions of the gene set significantly correlated with MTA1 expression. The transcriptional regulation network of the gene set was constructed with STRING online platform and Cytospace softwares to identify the key regulators. Results TCGA-CESC database assay showed a significant positive correlation of MTA1 expression with clinical metastasis of cervical cancer (P