Hypomethylation of GDNF family receptor alpha 1 promotes epithelial-mesenchymal transition and predicts metastasis of colorectal cancer.
Zhexu DongLei DaiYong ZhangChao FangGang ShiYe ChenJunshu LiQin WangJiamei FuYan YuWenshuang WangLin ChengYi LiuYi LinYuan WangQingnan WangHuiling WangHantao ZhangYujing ZhangXiaolan SuShuang ZhangFeng WangMeng QiuZongguang ZhouHongxin DengPublished in: PLoS genetics (2020)
Tumor metastasis is the major cause of poor prognosis and mortality in colorectal cancer (CRC). However, early diagnosis of highly metastatic CRC is currently difficult. In the present study, we screened for a novel biomarker, GDNF family receptor alpha 1 (GFRA1) based on the expression and methylation data in CRC patients from The Cancer Genome Altlas (TCGA), followed by further analysis of the correlation between the GFRA1 expression, methylation, and prognosis of patients. Our results show DNA hypomethylation-mediated upregulation of GFRA1 in invasive CRC, and it was found to be correlated with poor prognosis of CRC patients. Furthermore, GFRA1 methylation-modified sequences were found to have potential as methylation diagnostic markers of highly metastatic CRC. The targeted demethylation of GFRA1 by dCas9-TET1CD and gRNA promoted CRC metastasis in vivo and in vitro. Mechanistically, demethylation of GFRA1 induces epithelial-mesenchymal transition (EMT) by promoting AKT phosphorylation and increasing c-Jun expression in CRC cells. Collectively, our findings indicate that GFRA1 hypomethylation can promote CRC invasion via inducing EMT, and thus, GFRA1 methylation can be used as a biomarker for the early diagnosis of highly metastasis CRC.
Keyphrases
- poor prognosis
- epithelial mesenchymal transition
- long non coding rna
- end stage renal disease
- ejection fraction
- dna methylation
- newly diagnosed
- genome wide
- chronic kidney disease
- prognostic factors
- peritoneal dialysis
- signaling pathway
- small cell lung cancer
- squamous cell carcinoma
- cardiovascular disease
- cell proliferation
- type diabetes
- coronary artery disease
- induced apoptosis
- electronic health record
- artificial intelligence
- single molecule
- papillary thyroid
- human health
- nucleic acid
- circulating tumor cells