Centromere protein F promotes progression of hepatocellular carcinoma through ERK and cell cycle-associated pathways

Author(s):  
Hongjin Chen ◽  
Fubing Wu ◽  
Haojun Xu ◽  
Guanqun Wei ◽  
Min Ding ◽  
...  
2013 ◽  
Vol 436 (4) ◽  
pp. 711-718 ◽  
Author(s):  
Yongdong Dai ◽  
Lulu Liu ◽  
Tingting Zeng ◽  
Ying-Hui Zhu ◽  
Jiangchao Li ◽  
...  

2019 ◽  
Vol 110 (7) ◽  
pp. 2133-2144 ◽  
Author(s):  
Xuan Yang ◽  
Bi‐Si Miao ◽  
Chuan‐Yuan Wei ◽  
Rui‐Zhao Dong ◽  
Ping‐Ting Gao ◽  
...  

2021 ◽  
Vol 12 (10) ◽  
pp. 2933-2951
Author(s):  
Yugang Huang ◽  
Xiuwen Chen ◽  
Li Wang ◽  
Tieyan Wang ◽  
Xianbin Tang ◽  
...  

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Xiaojin Li ◽  
Yanmeng Li ◽  
Anjian Xu ◽  
Donghu Zhou ◽  
Bei Zhang ◽  
...  

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11342
Author(s):  
Qingqing Wang ◽  
Xiaoyan Yu ◽  
Zhewen Zheng ◽  
Fengxia Chen ◽  
Ningning Yang ◽  
...  

Background Hepatocellular carcinoma (HCC) is one of the deadliest tumors. The majority of HCC is detected in the late stage, and the clinical results for HCC patients are poor. There is an urgent need to discover early diagnostic biomarkers and potential therapeutic targets for HCC. Methods The GSE87630 and GSE112790 datasets from the Gene Expression Omnibus (GEO) database were downloaded to analyze the differentially expressed genes (DEGs) between HCC and normal tissues. R packages were used for Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analyses of the DEGs. A Search Tool for Retrieval of Interacting Genes (STRING) database was used to develop a protein-protein interaction (PPI) network, and also cytoHubba, Molecular Complex Detection (MCODE), EMBL-EBI, CCLE, Gene Expression Profiling Interactive Analysis (GEPIA), and Oncomine analyses were performed to identify hub genes. Gene expression was verified with a third GEO dataset, GSE25097. The Cancer Genome Atlas (TCGA) database was used to explore the correlations between the hub genes and clinical indexes of HCC patients. The functions of the hub genes were enriched by gene set enrichment analysis (GSEA), and the biological significance of the hub genes was explored by real-time polymerase chain reaction (qRT-PCR), western blot, immunofluorescence, CCK-8, colony formation, Transwell and flow cytometry assays with loss-of-function experiments in vitro. Results Centromere protein N (CENPN) was screened as a hub gene affecting HCC tumorigenesis. Evaluation by Cox regression showed that a high level of CENPN expression was an independent danger variable for poor prognosis of HCC. GSEA showed that high CENPN expression was linked to the following pathways: liver cancer subclass proliferation, cell cycle, p53 signaling pathway, Rb1 pathway, positive regulation of cell cycle G1/S phase transition, and DNA damage response signal transduction by p53 class moderators. Further cell experiments showed that knocking down CENPN expression decreased the proliferation and colony-forming abilities of HepG2 and Huh7 cells as well as Ki67 expression in these cell lines. The cell cycle was arrested in G1 phase, which is consistent with previous experiments on CENPN downregulation., but neither migration nor invasion were significantly affected. Western blot results revealed that the expression of p53, p27, p21, CDK4, cyclin D1, CDK2, cyclin E, pRb, E2F1 and c-myc decreased after CENPN knockdown, but there was no significant change in total Rb levels. In addition, CENPN-knockdown cells subjected to irradiation showed significantly enhanced of γ-H2AX expression and reduced colony formation. Conclusion CENPN functions as an oncogene in HCC and may be a therapeutic target and promising prognostic marker for HCC.


2020 ◽  
Vol 19 (18) ◽  
pp. 2197-2210 ◽  
Author(s):  
Sherien M. El-Daly ◽  
Shaimaa A. Gouhar ◽  
Amira M. Gamal-Eldeen ◽  
Fatma F. Abdel Hamid ◽  
Magdi N. Ashour ◽  
...  

Aim: The clinical application of cisplatin is limited by severe side effects associated with high applied doses. The synergistic effect of a combination treatment of a low dose of cisplatin with the natural alkaloid α-solanine on human hepatocellular carcinoma cells was evaluated. Methods: HepG2 cells were exposed to low doses of α-solanine and cisplatin, either independently or in combination. The efficiency of this treatment modality was evaluated by investigating cell growth inhibition, cell cycle arrest, and apoptosis enhancement. Results: α-solanine synergistically potentiated the effect of cisplatin on cell growth inhibition and significantly induced apoptosis. This synergistic effect was mediated by inducing cell cycle arrest at the G2/M phase, enhancing DNA fragmentation and increasing apoptosis through the activation of caspase 3/7 and/or elevating the expression of the death receptors DR4 and DR5. The induced apoptosis from this combination treatment was also mediated by reducing the expression of the anti-apoptotic mediators Bcl-2 and survivin, as well as by modulating the miR-21 expression. Conclusion: Our study provides strong evidence that a combination treatment of low doses of α-solanine and cisplatin exerts a synergistic anticancer effect and provides an effective treatment strategy against hepatocellular carcinoma.


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