[ ABSTRACT] AIM:To investigate the effects of microRNA145 ( miRNA145 ) on the viability, apoptosis, inva-sion and metastasis of hepatoma HepG2 cells.METHODS: HepG2 cells were randomly allocated into 3 groups: blank control group, empty mimic transfected group and miRNA145 mimic transfected group.Under the induction of Lipofectami-neTM 2000, the recombinant was transfected into HepG2 cells.After transfection, the expression level of miRNA145 was detected by real-time PCR.The protein level of N-cadherin and the mRNA expression levels of miRNA145 and N-cadherin were detected by Western blot and real-time PCR.The cell viability was detected by MTS assay.The cell cycle and apopto-sis were analyzed by flow cytometry.Invasion and metastasis were detected by Transwell assay.RESULTS:Compared with negative control, miRNA145 expression was up-regulated significantly, while the expression of N-cadherin was down-regu-lated significantly.Meanwhile, the cell viability, cell cycle, apoptosis, invasion and metastasis of hepatoma HepG2 cells were all significantly inhibited (P<0.05).CONCLUSION:miRNA145 dramatically inhibits viability, apoptosis, inva-sion and metastasis of hepatoma cells.

Objective To investigate the effect of expression of Cullin 4B (CUL4B) on the prognosis of patients after liver transplantation for hepatocellular carcinoma (HCC).Methods The retrospective case-control study was conducted.The clinicopathological data of 79 patients who underwent liver transplantation for HCC in the First Affiliated Hospital of Sun Yat-sen University between January 1,2014 and June 30,2015 were collected.The specimens of HCC tissues were collected and embedded in paraffin,and then were detected by immunohistochemistry staining.Observation indicators:(1) expression of CUL4B in HCC tissues;(2) follow-up and survival;(3) prognostic factors analysis after liver transplantation;(4) association between expression of CUL4B and recurrence and metastasis of tumor after liver transplantation.Follow-up using outpatient examination and telephone interview was performed to detect tumor recurrence or metastasis and survival up to June 2018.Measurement data with normal distribution were represented as (x)±s.The comparison between groups of count data was done using the chi-square test.The survival curve drawn using the Kaplan-Meier method,and the survival analysis was done by Log-rank test.The univariate and multivariate analysis were respectively done using the COX regression model.The association analysis was done using the Pearson test.Results (1) Expression of CUL4B in HCC tissues:immunohistochemistry staining showed that CUL4B was mainly expressed in the cytoplasm,with a powerful brownish-yellow staining.The high expression and low expression of CUL4B in HCC tissues were detected in 64 and 15 patients,respectively.(2) Follow-up and survival:79 patients were followed up for 38-56 months,with an average time of 46 months.During the follow-up,37 patients had no tumor recurrence and 42 had tumor recurrence (32 with tumor extrahepatic metastasis and 10 with intrahepatic metastasis);36 had survival and 43 died;the 1-and 3-year overall survival rates were respectively 86.84％ and 63.25％,and 1-and 3-year tumorfree survival rates were respectively 62.31％ and 51.27％.(3) Prognostic factors analysis after liver transplantation:① Results of univariate analysis showed that preoperative alpha-fetoprotein (AFP),Child-Pugh score,maximum tumour dimension,capsular invasion,intravascular tumor thrombus,Edmonson pathological grading and expression of CUL4B were related factors affecting the 3-year overall survival rate of patients after liver transplantation for HCC [Hazard Ratio (HR) =2.17,3.36,3.66,2.43,2.19,3.36,2.84,95％ confidence interval(CI):1.17-4.04,1.53-7.42,2.10-6.42,1.33-4.17,1.08-9.04,1.58-7.59,1.17-6.32,P＜ 0.05].The preoperative alpha-fetoprotein (AFP),Child-Pugh score,maximum tumour dimension,capsular invasion,intravascular tumor thrombus,Edmonson pathological grading and expression of CUL4B were related factors affecting the 3-year tumor-free survival rate of patients after liver transplantation for HCC (HR =2.06,3.72,3.16,2.36,2.83,3.21,1.69,95％CI:1.34-4.85,1.72-8.63,1.79-7.31,1.46-4.86,1.19-8.63,1.19-7.92,1.06-4.87,P＜0.05).② Results of multivariate analysis showed that maximum tumour dimension,intravascular tumor thrombus and expression of CUL4B were independent factors affecting the 3-year overall survival rate of patients after liver transplantation for HCC [Odds ratio(OR) =3.43,3.69,2.81,95％CI:1.16-6.02,1.96-9.38,1.04-9.63,P＜0.05].The maximum tumour dimension,intravascular tumor thrombus and expression of CUL4B were independent factors affecting the 3-year tumor-free survival rate of patients after liver transplantation for HCC (OR=2.25,4.72,2.74,95％C1:1.16-4.02,1.98-9.47,1.03-7.10,P＜ 0.05).The 3-year overall survival rate in patients with high-and low-expressions of CUL4B was respectively 66.7％ and 32.8％,with a statistically significant difference (x2 =5.69,P＜0.05).The 3-year tumor-free survival rate in patients with high-and low-expressions of CUL4B was respectively 73.3％ and 18.6％,with a statistically significant difference (x2 =4.63,P＜0.05).(4) Association between expression of CUL4B and recurrence and metastasis of tumor after liver transplantation:results of Pearson test showed that expression of CUL4B was significantly associated with HCC recurrence and metastasis after liver transplantation (r =0.62,P＜0.05).The further analysis showed that expression of CUL4B was significantly associated with extrahepatic metastasis after liver transplantation (r=0.84,P ＜ 0.05).Conclusion The expression of CUL4B is associated with HCC recurrence after liver transplantation,and it can be as a predictor for HCC recurrence and distant metastasis after liver transplantation.

Objective We propose a low-dose CT reconstruction method using partial differential equation (PDE) denoising under high-dimensional constraints. Methods The projection data were mapped into a high-dimensional space to construct a high-dimensional representation of the data, which were updated by moving the points in the high-dimensional space. The data were denoised using partial differential equations and the CT image was reconstructed using the FBP algorithm. Results Compared with those by FBP, PWLS-QM and TGV-WLS methods, the relative root mean square error of the Shepp-Logan image reconstructed by the proposed method were reduced by 68.87％, 50.15％ and 27.36％, the structural similarity values were increased by 23.50％, 8.83％ and 1.62％, and the feature similarity values were increased by 17.30％, 2.71％ and 2.82％, respectively. For clinical image reconstruction, the proposed method, as compared with FBP, PWLS-QM and TGV-WLS methods, resulted in reduction of the relative root mean square error by 42.09％, 31.04％and 21.93％, increased the structural similarity values by 18.33％, 13.45％ and 4.63％, and increased the feature similarity values by 3.13％, 1.46％ and 1.10％, respectively. Conclusion The new method can effectively reduce the streak artifacts and noises while maintaining the spatial resolution in reconstructed low-dose CT images.

Objective We propose a low-dose CT reconstruction method using partial differential equation (PDE) denoising under high-dimensional constraints. Methods The projection data were mapped into a high-dimensional space to construct a high-dimensional representation of the data, which were updated by moving the points in the high-dimensional space. The data were denoised using partial differential equations and the CT image was reconstructed using the FBP algorithm. Results Compared with those by FBP, PWLS-QM and TGV-WLS methods, the relative root mean square error of the Shepp-Logan image reconstructed by the proposed method were reduced by 68.87％, 50.15％ and 27.36％, the structural similarity values were increased by 23.50％, 8.83％ and 1.62％, and the feature similarity values were increased by 17.30％, 2.71％ and 2.82％, respectively. For clinical image reconstruction, the proposed method, as compared with FBP, PWLS-QM and TGV-WLS methods, resulted in reduction of the relative root mean square error by 42.09％, 31.04％and 21.93％, increased the structural similarity values by 18.33％, 13.45％ and 4.63％, and increased the feature similarity values by 3.13％, 1.46％ and 1.10％, respectively. Conclusion The new method can effectively reduce the streak artifacts and noises while maintaining the spatial resolution in reconstructed low-dose CT images.