1.microRNA-18a Promotes Cell Migration and Invasion Through Inhibiting Dicer l Expression in Hepatocellular Carcinoma In Vitro.
Xiufen ZHANG ; Bo YU ; Fuzheng ZHANG ; Zijian GUO ; Lihua LI
Chinese Medical Sciences Journal 2017;32(1):34-33
Objective To investigate the effects of microRNA-18a (miR-18a) on migration and invasion of hepatocellular carcinoma (HCC) cells, and its possible mechanism associated with Dicer l.Methods HepG2 and HepG2.2.15 cells were transfected with miR-18a inhibitor using Lipofectamine. Cell invasion was evaluated by transwell invasion assay, and cell migration was detected by transwell migration and wound-healing assays. Moreover, luciferase reporter assay was used to identify whether Dicer expression was regulated by miR-18a. Real-time RT-PCR and western blot were performed to analyze Dicer 1 expression. In addition, a functional restoration assay was performed to investigate whether miR-18a promotes HCC cell migration and invasion by directly targeting Dicer 1.Results miR-18a inhibitor can suppress the migration and invasion of HCC cells. Furthermore, suppression of Dicer l expression by small interfering RNA essentially abolished the inhibition of cell migration and invasion induced by miR-18a inhibitor, restorating these activities to levels similar to the parental HCC cells. Interestingly, suppression of miR-18a in HCC cells resulted in enhanced expression of Dicer l. In addition, the results of a luciferase assay demonstrated targeted regulation of Dicer l by miR-18a.Conclusion Our findings suggest that miR-18a promotes migration and invasion of HCC cells by inhibiting Dicer l expression.
Carcinoma, Hepatocellular
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genetics
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metabolism
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pathology
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Cell Movement
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DEAD-box RNA Helicases
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genetics
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metabolism
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Hep G2 Cells
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Humans
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Liver Neoplasms
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genetics
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metabolism
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pathology
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MicroRNAs
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genetics
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metabolism
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Neoplasm Invasiveness
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Neoplasm Proteins
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genetics
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metabolism
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RNA, Neoplasm
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genetics
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metabolism
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Ribonuclease III
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genetics
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metabolism
2.Discriminant analysis of the risk of nosocomial mortality in patients with traumatic hemorrhagic shock
Xiujuan ZHAO ; Chu WANG ; Wei HUANG ; Panpan CHANG ; Fuzheng GUO ; Zhenzhou WANG ; Fengxue ZHU ; Tianbing WANG
Chinese Journal of General Surgery 2021;36(8):608-611
Objective:To investigate the use of discriminant analysis to predict the risk of nosocomial mortality in patients with traumatic hemorrhagic shock.Methods:The clinical data of 238 patients with traumatic hemorrhagic shock admitted to Peking University People's Hospital from Sep 2013 to Aug 2020 were retrospectively analyzed. Patients were divided into survival group (214 cases) and death group (24 cases). Stepwise discriminant analysis was used to establish a discriminant model.Results:The difference of history of stroke (9.8% vs. 25.0%), main site of bleeding (extremities)(58.9% vs. 29.2%), APACHEⅡ score (16.4±5.1 vs. 23.2±6.1), blood lactic acid [2.1(1.1-3.5) mmol/L vs. 4.9(2.0-13.4) mmol/L] and surgery (92.5% vs. 58.3%) between the two groups was all statistically significant (all P<0.05). Finally, There are five indicators that entered the discriminant model: history of stroke, main site of bleeding (extremities), blood lactic acid, APACHE Ⅱ score and surgery. The area under the ROC curve for predicting the risk of mortality in patients with traumatic hemorrhagic shock was 0.857, 95% CI 0.754-0.959. Conclusions:The established discriminant model has a high accuracy in predicting the risk of in-hospital mortality in patients with traumatic hemorrhagic shock.
3. Risk factors associated with myocardial injury after non-cardiac major surgery in ICU admitted patients
Shu LI ; Fengxue ZHU ; Fuzheng GUO ; Lilei JIANG ; Haiyan XUE ; Xiujuan ZHAO ; Youzhong AN
Chinese Journal of General Surgery 2019;34(9):798-801
Objective:
To analyze the risk factors related to the myocardial injury after non-cardiac surgery (MINS) in patients who underwent major abdominal surgery.
Methods:
The clinical data of all patients admitted in the surgical ICU of Peking University People′s Hospital from Jan 2016 to Dec 2018 were analyzed. Logistic multivariate analysis was performed to analyze the association of clinical characteristics with the incidence of MINS.
Results:
A total of 322 patients were included, 48.4% (156/322) were diagnosed as with MINS. 97.4% (152/156) of MINS occurred during the first 72 h of admission. Multivariate analysis showed that independent predictive factors of MINS were age >65y (