The microRNA feedback regulation of p63 in cancer progression

Changwei Lin _, Xiaorong Li, Yi Zhang, Yihang Guo, Jianyu Zhou, Kai Gao, Jing Dai, Gui Hu, Lv Lv, Juan Du and Yi Zhang

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Oncotarget. 2015; 6:8434-8453. https://doi.org/10.18632/oncotarget.3020

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Changwei Lin1, Xiaorong Li1, Yi Zhang2, Yihang Guo1, Jianyu Zhou1, Kai Gao1, Jing Dai1, Gui Hu1, Lv Lv1, Juan Du1, Yi Zhang1

1Department of General Surgery, The Third XiangYa Hospital of Central South University, Changsha, Hunan 410013, P.R. China

2Department of General Surgery, The XiangYa Hospital of Central South University, Changsha, Hunan 410013, P.R. China

Correspondence to:

Xiaorong Li, e-mail: [email protected]

Keywords: p63, microRNA, cancer, feedback

Received: September 23, 2014     Accepted: December 31, 2014     Published: January 23, 2015


The transcription factor p63 is a member of the p53 gene family that plays a complex role in cancer due to its involvement in epithelial differentiation, cell cycle arrest and apoptosis. MicroRNAs are a class of small, non-coding RNAs with an important regulatory role in various cellular processes, as well as in the development and progression of cancer. A number of microRNAs have been shown to function as transcriptional targets of p63. Conversely, microRNAs also can modulate the expression and activity of p63. However, the p63–microRNA regulatory circuit has not been addressed in depth so far. Here, computational genomic analysis was performed using miRtarBase, Targetscan, microRNA.ORG, DIANA-MICROT, RNA22-HSA and miRDB to analyze miRNA binding to the 3'UTR of p63. JASPAR (profile score threshold 80%) and TFSEARCH datasets were used to search transcriptional start sites for p53/p63 response elements. Remarkably, these data revealed 63 microRNAs that targeted p63. Furthermore, there were 39 microRNAs targeting p63 that were predicted to be regulated by p63. These analyses suggest a crosstalk between p63 and microRNAs. Here, we discuss the crosstalk between p63 and the microRNA network, and the role of their interactions in cancer.

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