Differential effects of the LncRNA RNF157-AS1 on epithelial ovarian cancer cells through suppression of DIRAS3- and ULK1-mediated autophagy.
PengFei XuSujuan XuHaiyue PanChencheng DaiYiran XuLuyao WangYu CongHuilin ZhangJian CaoLili GeXuemei JiaPublished in: Cell death & disease (2023)
Analyses of several databases showed that the lncRNA RNF157 Antisense RNA 1 (RNF157-AS1) is overexpressed in epithelial ovarian cancer (EOC) tissues. In our study, suppressing RNF157-AS1 strikingly reduced the proliferation, invasion, and migration of EOC cells compared with control cells, while overexpressing RNF157-AS1 greatly increased these effects. By RNA pulldown assays, RNA binding protein immunoprecipitation (RIP) assays, and mass spectrometry, RNF157-AS1 was further found to be able to bind to the HMGA1 and EZH2 proteins. Chromatin immunoprecipitation (ChIP) assays showed that RNF157-AS1 and HMGA1 bound to the ULK1 promoter and prevented the expression of ULK1. Additionally, RNF157-AS1 interacted with EZH2 to bind to the DIRAS3 promoter and diminish DIRAS3 expression. ULK1 and DIRAS3 were found to be essential for autophagy. Combination autophagy inhibitor and RNF157-AS1 overexpression or knockdown, a change in the LC3 II/I ratio was found using immunofluorescence (IF) staining and western blot (WB) analysis. The autophagy level also was confirmed by autophagy/cytotoxicity dual staining. However, the majority of advanced EOC patients require platinum-based chemotherapy, since autophagy is a cellular catabolic response to cell stress. As a result, RNF157-AS1 increased EOC cell sensitivity to chemotherapy and death under cis-platinum (DDP) treatment by suppressing autophagy, as confirmed by cell count Kit-8 (CCK8) assays, flow cytometry, and autophagy/cytotoxicity dual staining. Therefore, the OS and PPS times were longer in EOC patients with elevated RNF157-AS1 expression. RNF157-AS1-mediated autophagy has potential clinical significance in DDP chemotherapy for EOC patients.
Keyphrases
- endoplasmic reticulum stress
- cell death
- signaling pathway
- induced apoptosis
- dna damage response
- oxidative stress
- flow cytometry
- binding protein
- poor prognosis
- mass spectrometry
- cell cycle arrest
- high throughput
- end stage renal disease
- gene expression
- long non coding rna
- single cell
- newly diagnosed
- ejection fraction
- dna methylation
- chronic kidney disease
- cell proliferation
- dna damage
- prognostic factors
- radiation therapy
- locally advanced
- risk assessment
- squamous cell carcinoma
- mesenchymal stem cells
- deep learning
- machine learning
- peripheral blood
- nucleic acid
- simultaneous determination
- cell migration
- big data
- stress induced
- chemotherapy induced
- patient reported