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Dysregulated Fatty Acid Metabolism in Hepatocellular Carcinoma
( Ming-da Wang ),( Jun Han ),( Hao Xing ),( Han Zhang ),( Zheng Wang ),( Zhen-li Li ),( Liang Lei ),( Chao Li ),( Feng Shen ),( Tian Yang ) 대한간학회 2018 춘·추계 학술대회 (KASL) Vol.2018 No.1
Aims: Studies are urgently needed on it molecular pathogenesis and biological characteristics of hepatocellular carcinoma (HCC). Dysregulation of fatty acid (FA) metabolism, in which aberrant activation of oncogenic signaling pathways alters the expression and activity of lipid-metabolizing enzymes, is an emerging hallmark of cancer cells, and it may be involved in HCC development and progression. Methods: We summarize the characteristics of FA metabolism in HCC, focusing on the pathways of FA synthesis, oxidation, uptake and transport. We also provide a brief review of the relationship between NAFLD and HCC development. Results: The current review summarizes the dysregulated FA metabolism in HCC and pathways through which this dysregulation may regulate HCC survival and growth. Aberrant activation of oncogenic signaling pathways regulates the expression and activity of lipid-metabolizing enzymes, thus reprogramming FA metabolism to promote HCC development and progression. Intracellular FAs are required for biosynthesis of most biological membrane lipids and signaling molecules, and are also used to provide energy to support HCCs survival and proliferation, when necessary, through β-oxidation process. HCC cells can employ appropriate metabolic pathways as different situation demands. Intrahepatic cholangiocarcinoma (ICC) and HCC exhibits differential requirement for de novo lipogenesis and distinct response to therapeutic approaches focusing on inhibition of exogenous FA uptake. Non-alcoholic fatty liver disease related obesity and diabetes have increasingly emerged as two major factors responsible for the rise in prevalent of HCC. Conclusions: Our understanding of dysregulated FA metabolism and associated signaling pathways may contribute to the development of novel and efficient anti-tumor approaches for patients with HCC.
Wang, Meng,Zhang, Dian-Cai,Wang, Shen-Tian,Li, Ming-Long Asian Australasian Association of Animal Productio 2016 Animal Bioscience Vol.29 No.4
In this work, we prepared a panel of monoclonal anti-idiotypic antibodies to ovine prolactin (oPRL) by the hybridoma technique. Among these antibodies, one anti-idotypic antibody (designated B7) was chosen for further characterization by a series of experiments. We first demonstrated that B7 behaved as a typical $Ab2{\beta}$ based on a series of enzyme-linked immunosorbent assays. Subsequently, the results of a competitive receptor-binding assay confirmed that B7 could specifically bind to the prolactin receptor (PRLR) expressed on target cells. Finally, we examined its biological activities in CHO-PRLR and Nb2 cells and observed that B7 could activate Janus kinase 2-signal transducer and activator of transcription signalling in CHO-PRLR and Nb2 cells and induce BaF3 proliferation. The present study suggests that i) B7 can serve as a PRLR agonist or PRL mimic and has potential applications in regulating mammary gland development, milk production and maintenance of lactation in domestic animals and ii) B7 may be a biological reagent that can be used to explore the mechanism of PRLR-mediated intracellular signalling.
A Video Traffic Flow Detection System Based on Machine Vision
Wang, Xin-Xin,Zhao, Xiao-Ming,Shen, Yu Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.5
This study proposes a novel video traffic flow detection method based on machine vision technology. The three-frame difference method, which is one kind of a motion evaluation method, is used to establish initial background image, and then a statistical scoring strategy is chosen to update background image in real time. Finally, the background difference method is used for detecting the moving objects. Meanwhile, a simple but effective shadow elimination method is introduced to improve the accuracy of the detection for moving objects. Furthermore, the study also proposes a vehicle matching and tracking strategy by combining characteristics, such as vehicle's location information, color information and fractal dimension information. Experimental results show that this detection method could quickly and effectively detect various traffic flow parameters, laying a solid foundation for enhancing the degree of automation for traffic management.
Optical Characters Measurement and Simulation of 2D Cross Grating Microstructures of Butterfly Wings
Wang Zhang,Di Zhang,Wei-Xin Chen,Jia-Jun Gu,Qin-Lei Liu,Shen-Ming Zhu,Hui-Lan Su,Chuan-Liang Feng,문원진 한국정밀공학회 2012 International Journal of Precision Engineering and Vol. No.
In this paper, the reflectance of the butterfly wings are measured by using the microspectrophotometer as the optical character with the reflectance on several scales on the wings. Reflectance spectra from different wing scale zones with the same color are dramatically different. And it suggests that the tiny structural difference has the great influence on the reflectance property. In addition, the microstructures of the butterfly wings can be simplified to a 2D crossing grating. By simulating a two-dimensional model using rigorous coupled-wave analysis technique, the optical properties of the butterfly wings were investigated. The simulation results depend strongly on the structural parameters and refractive index. The research will reveal the mechanisms of the structural color of 2D crossing grating butterfly wings.
Lentivirus-mediated shRNA Interference Targeting SLUG Inhibits Lung Cancer Growth and Metastasis
Wang, Yao-Peng,Wang, Ming-Zhao,Luo, Yi-Ren,Shen, Yi,Wei, Zhao-Xia Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.10
Objective: Lung cancer is a deadly cancer, whose kills more people worldwide than any other malignancy. SLUG (SNAI2, Snail2) is involved in the epithelial mesenchymal transition in physiological and in pathological contexts and is implicated in the development and progression of lung cancer. Methods: We constructed a lentivirus vector with SLUG shRNA (LV-shSLUG). LV-shSLUG and a control lentivirus were infected into the non-small cell lung cancer cell A549 and real-time PCR, Western blot and IHC were applied to assess expression of the SLUG gene. Cell proliferation and migration were detected using MTT and clony formation methods. Results: Real-time PCR, Western Blot and IHC results confirmed down-regulation of SLUG expression by its shRNA by about 80%~90% at both the mRNA and protein levels. Knockdown of SLUG significantly suppressed lung cancer cell proliferation. Furthermore, knockdown of SLUG significantly inhibited lung cancer cell invasion and metastasis. Finally, knockdown of SLUG induced the down-regulation of Bcl-2 and up-regulation of E-cadherin. Conclusion: These results indicate that SLUG is a newly identified gene associated with lung cancer growth and metastasis. SLUG may serve as a new therapeutic target for the treatment of lung cancer in the future.
Wang, Yun-Liang,Dong, Feng-Lin,Yang, Jian,Li, Zhi,Zhi, Qiao-Ming,Zhao, Xin,Yang, Yong,Li, De-Chun,Shen, Xiao-Chun,Zhou, Jin Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.9
Background: Epidermal growth factor-like domain multiple 7 (EGFL7), a secreted protein specifically expressed by endothelial cells during embryogenesis, recently was identified as a critical gene in tumor metastasis. Epithelial-mesenchymal transition (EMT) was found to be closely related with tumor progression. Accordingly, it is important to investigate the migration and EMT change after knock-down of EGFL7 gene expression in human pancreatic cancer cells. Materials and Methods: EGFL7 expression was firstly testified in 4 pancreatic cancer cell lines by real-time polymerase chain reaction (Real-time PCR) and western blot, and the highest expression of EGFL7 was found in PANC-1 cell line. Then, PANC-1 cells transfected with small interference RNA (siRNA) of EGFL7 using plasmid vector were named si-PANC-1, while transfected with negative control plasmid vector were called NC-PANC-1. Transwell assay was used to analyze the migration of PANC-1 cells. Real-time PCR and western blotting were used to detect the expression change of EGFL7 gene, EMT markers like E-Cadherin, N-Cadherin, Vimentin, Fibronectin and transcription factors like snail, slug in PANC-1, NCPANC-1, and si-PANC-1 cells, respectively. Results: After successful plasmid transfection, EGFL7 gene were dramatically knock-down by RNA interference in si-PANC-1 group. Meanwhile, migration ability decreased significantly, compared with PANC-1 and NC-PANC-1 group. Meanwhile, the expression of epithelial phenotype marker E-Cadherin increased and that of mesenchymal phenotype markers N-Cadherin, Vimentin, Fibronectin dramatically decreased in si-PANC-1 group, indicating a reversion of EMT. Also, transcription factors snail and slug decreased significantly after RNA interference. Conclusions: Current study suggested that highly-expressed EGFL7 promotes migration of PANC-1 cells and acts through transcription factors snail and slug to induce EMT, and further study is needed to confirm this issue.
Yifei Wang,Kaiyu Sun,Jingxian Shen,Bin Li,Ming Kuang,Qinghua Cao,Sui Peng 대한암학회 2019 Cancer Research and Treatment Vol.51 No.4
Purpose Hepatocellular carcinoma (HCC) is an aggressive disease with high recurrence rate. However, current staging systems were lack of predictive capacity for HCC recurrence. We aimed to develop prognostic nomograms based on inflammation-related markers for HCC patients underwent hepatectomy. Materials and Methods We recruited 889 surgically treated patients from two medical centers. Independent prognostic factors were identified by cox regression analyses. Nomograms for recurrence-free survival (RFS) and overall survival (OS) were established and validated internally and externally. The performance, discrimination, and calibration of nomograms were assessed and compared with existed staging systems. Results Neutrophil to lymphocyte ratio (NLR) and gamma-glutamyl transpeptidase to platelet ratio (GPR) were the two inflammation-related factor that independently correlated with survival. NLR, GPR, international normalized ratio (INR), microvascular invasion, satellite lesions, tumor number, tumor diameter, and macrovascular invasion were used to construct nomogram for RFS while GPR, total bilirubin, INR, -fetoprotein, microvascular invasion, satellite lesions, tumor diameter, and macrovascular invasion were for OS. In the training cohort, the C-index of nomogram was 0.701 (95% confidence interval [CI], 0.669 to 0.732) for RFS and 0.761 (95% CI, 0.728 to 0.795) for OS. These results received both internal and external validation with C-index of 0.701 (95% CI, 0.647 to 0.755) and 0.707 (95% CI, 0.657 to 0.756) for RFS, and 0.706 (95% CI, 0.640 to 0.772) and 0.708 (95%CI, 0.646 to 0.771) for OS, respectively. The nomograms showed superior accuracy to conventional staging systems (p < 0.001). Conclusion The nomograms based on inflammation-related markers are of high efficacy in predicting survival of HCC patients after hepatectomy, which will be valuable in guiding postoperative interventions and follow-ups.