CCNG1 (Cyclin G1) regulation by mutant-P53 via induction of Notch3 expression promotes high-grade serous ovarian cancer (HGSOC) tumorigenesis and progression.
Ying XuQing ZhangChunying MiaoSamina DongolYinuo LiChenjuan JinRuifeng DongYingwei LiXingsheng YangBeihua KongPublished in: Cancer medicine (2018)
TP53 mutation is considerably common in advanced high-grade serous ovarian cancer (HGSOC) and significantly associated with a poor prognosis. In this study, we investigated the role of Cyclin G1 (CCNG1), a target gene of wild-type TP53 (P53wt), in HGSOC and the possible regulatory mechanism between TP53 mutant (P53mt) and CCNG1 in the progression of HGSOC. High expression level of CCNG1 was found in 61.3% of HGSOC tissues and only 18.2% in fimbriae of fallopian tubes. Additionally, overexpression of CCNG1 was significantly associated with a shorter overall survival (P < 0.0001) and progression-free survival (P < 0.0004) in HGSOC patients. In vitro, CCNG1 promoted both tumor cell motility by inducing epithelial-mesenchymal transition (EMT) and resistance to cisplatin (CDDP). In vivo, knockdown expression of CCNG1 inhibited cancer metastasis. Furthermore, P53mt increased the expression of CCNG1 by regulating Notch3 expression, and a positive correlation between CCNG1 and Notch3 protein expression was observed by Immunohistochemistry (IHC) (r = 0.39, P: 0.01528). In conclusion, the activation of P53mt-Notch3-CCNG1 pathway was responsible for tumor progression to advanced disease with correlation with worse prognosis in patients with HGSOC. These data suggest a possible molecular mechanism of disease and highlights CCNG1's potential role as a therapeutic target in HGSOC.
Keyphrases
- papillary thyroid
- poor prognosis
- high grade
- long non coding rna
- epithelial mesenchymal transition
- free survival
- cell proliferation
- low grade
- binding protein
- ejection fraction
- prognostic factors
- bone marrow
- machine learning
- cell cycle
- newly diagnosed
- cystic fibrosis
- single cell
- squamous cell carcinoma
- chronic kidney disease
- cell therapy
- mesenchymal stem cells
- electronic health record
- artificial intelligence
- biofilm formation
- genome wide
- patient reported outcomes
- dna methylation
- childhood cancer