Objective:To detect the expression level and clinical significance of centromere protein I (CENPI) in hepatocellular carcinoma (HCC) and to preliminarily explore the effects of CENPI on the biological behavior of liver cancer cells and its possible molecular mechanisms. Methods:The TCGA database, real-time fluorescent quantitative polymerase chain reaction, Western blot, and immunohistochemical staining experiments were used to analyze and detect the expression differences of CENPI in liver cancer and adjacent tissues. The correlation between CENPI expression levels and clinical pathological features were analyzed in combination with clinical data from HCC patients. The value of CENPI in the diagnosis and prognosis assessment of HCC was explored by plotting receiver operating characteristic curves and Kaplan-Meier survival curves. Furthermore, we investigated the impact of CENPI overexpression on the migration and healing capabilities of liver cancer cells using Transwell and wound healing experiments. Finally, the effects of CENPI on the epithelial-mesenchymal transition process in liver cancer cells and the potential molecular mechanisms were explored using Western blot. Comparisons between two groups were analyzed using t-tests, and comparisons among multiple groups were analyzed using one-way ANOVA. The expression of CENPI and its correlation with clinical pathological features were analyzed using the χ2 test. Results:The TCGA database analysis showed that the expression level of CENPI was significantly higher in liver cancer tissues than adjacent tissues, which was further validated by real-time fluorescent quantitative polymerase chain reaction, Western blotting, and immunohistochemical staining experiments. Combined clinical data analysis from HCC patients demonstrated that high expression of CENPI was positively correlated with the degree of tumor malignancy, T stage, and disease prognosis. The Kaplan-Meier survival curve indicated that the 5-year survival rate was significantly lower in patients with high CENPI expression compared to those with low expression. The results of the receiver operating characteristic curve further indicated that the expression level of CENPI had accurately predicted the prognosis of liver cancer patients (area under the curve=0.962). Transwell and wound healing experiment results indicated that overexpressing CENPI in Hep3B and Huh7 cells significantly increased cell migration numbers and healing rates. Further research results showed that overexpressing CENPI significantly upregulated the expression of mesenchymal cell-related marker genes: N-cadherin, Vimentin, and Snail protein, while the expression of the epithelial cell-related marker gene E-cadherin was significantly reduced. The mechanistic study revealed that when CENPI was overexpressed, the MEK and ERK phosphorylation levels and the expression of RAS protein were significantly increased compared to the control group, and the difference was statistically significant. Conclusion:The high expression of CENPI in the tissues of HCC patients is associated with poor prognosis, potentially promoting the migration of liver cancer cells and the epithelial-mesenchymal transition process by activating the RAS/MEK/ERK signaling pathway axis, suggesting that the CENPI gene may be a promising target for HCC treatment.

Objective:To detect the expression level and clinical significance of centromere protein I (CENPI) in hepatocellular carcinoma (HCC) and to preliminarily explore the effects of CENPI on the biological behavior of liver cancer cells and its possible molecular mechanisms. Methods:The TCGA database, real-time fluorescent quantitative polymerase chain reaction, Western blot, and immunohistochemical staining experiments were used to analyze and detect the expression differences of CENPI in liver cancer and adjacent tissues. The correlation between CENPI expression levels and clinical pathological features were analyzed in combination with clinical data from HCC patients. The value of CENPI in the diagnosis and prognosis assessment of HCC was explored by plotting receiver operating characteristic curves and Kaplan-Meier survival curves. Furthermore, we investigated the impact of CENPI overexpression on the migration and healing capabilities of liver cancer cells using Transwell and wound healing experiments. Finally, the effects of CENPI on the epithelial-mesenchymal transition process in liver cancer cells and the potential molecular mechanisms were explored using Western blot. Comparisons between two groups were analyzed using t-tests, and comparisons among multiple groups were analyzed using one-way ANOVA. The expression of CENPI and its correlation with clinical pathological features were analyzed using the χ2 test. Results:The TCGA database analysis showed that the expression level of CENPI was significantly higher in liver cancer tissues than adjacent tissues, which was further validated by real-time fluorescent quantitative polymerase chain reaction, Western blotting, and immunohistochemical staining experiments. Combined clinical data analysis from HCC patients demonstrated that high expression of CENPI was positively correlated with the degree of tumor malignancy, T stage, and disease prognosis. The Kaplan-Meier survival curve indicated that the 5-year survival rate was significantly lower in patients with high CENPI expression compared to those with low expression. The results of the receiver operating characteristic curve further indicated that the expression level of CENPI had accurately predicted the prognosis of liver cancer patients (area under the curve=0.962). Transwell and wound healing experiment results indicated that overexpressing CENPI in Hep3B and Huh7 cells significantly increased cell migration numbers and healing rates. Further research results showed that overexpressing CENPI significantly upregulated the expression of mesenchymal cell-related marker genes: N-cadherin, Vimentin, and Snail protein, while the expression of the epithelial cell-related marker gene E-cadherin was significantly reduced. The mechanistic study revealed that when CENPI was overexpressed, the MEK and ERK phosphorylation levels and the expression of RAS protein were significantly increased compared to the control group, and the difference was statistically significant. Conclusion:The high expression of CENPI in the tissues of HCC patients is associated with poor prognosis, potentially promoting the migration of liver cancer cells and the epithelial-mesenchymal transition process by activating the RAS/MEK/ERK signaling pathway axis, suggesting that the CENPI gene may be a promising target for HCC treatment.

Objective To investigate the expression of centromere protein U(CENPU)in the intestinal tissues of patients with colon cancer,and to analyze the effect of CENPU expression level on the prognosis of patients with colon cancer combined with bioinformatics.Methods Firstly,the expression of CENPU in cancer tissues and normal tissues of colon cancer patients was analyzed by the expression of CENPU in tissues was further verified by real-time quantitative real time polymerase chain reaction(qRT-PCR),Western blot(WB)and immunohistochemistry(IHC).Combined with clinical data,univariate and multivariate Cox regression are used to analyze the correlation between CENPU expression and clinical case parameters of colon cancer patients.Then,the predictive effect of CENPU expression on the prognosis of colon cancer patients are explored by drawing receiver operating characteristic(ROC)curve and Kaplan-Meier survival curve.Finally,the possible molecular mechanism of the effect of CENPU expression on the progression of colon cancer are analyzed by bioinformatics.Results By qRT-PCR,WB and IHC experiments,we find that compared with normal tissues,the expression of CENPU in cancer tissues of colon cancer patients is significantly increased.Cox regression analysis show that the expression of CENPU is significantly correlated with the age and TNM stage of patients,and is a risk factor affecting the prognosis of patients.Kaplan-Meier survival curve analysis show that colon cancer patients with high CENPU expression has significantly lower survival rates.ROC curve show that the model based on CENPU expression has a high predictive power for the prognosis of colon cancer patients area under the curve(AUC=0.832).Bioinformatics analysis show that CENPI,CENPN,CENPD,CENPK,CENPP,CENPM,CENPQ,CENPH,NDC80 and ITGB3BP have significant interaction with CENPU gene.CENPU is involved in DNA repair,MYC/TARGETS/V1 and PI3K/AKT/MTOR signaling pathways.Conclusion High expression of CENPU in cancer tissues of patients with colon cancer is significantly associated with poor prognosis of patients,suggesting that CENPU is expected to be a potential target for early diagnosis and prognosis prediction of patients with colon cancer.

Objective: To explore the risk factors of predicting white matter hyperintensities progression based on radiomics of MRI of whole-brain white matter. Methods: The imaging and clinical data of 152 patients with white matter hyperintensities admitted to Zhejiang People′s Hospital from March 2014 to October 2018 were retrospectively analyzed. The whole brain white matter on baseline T₁WI images of each patient were segmented by SPM12 software package, and images of white matter were imported into AK software for texture feature extraction and dimensionality reduction. At last, least absolute shrinkage and selection operator(LASSO) was used to calculate the score of radiomics signature of each patient. According to the improved Fazekas scale, patients with WMH progression were divided into three groups: any white matter hyperintensities (AWMH), periventricular white matter hyperintensities (PWMH) and deep white matter hyperintensities (DWMH). Statistical differences of clinical factors and radiomics signature between WMH progression subgroups and non-progression subgroups were compared with independent sample t test or Mann-Whitney U test, and Univariate logistic regression was used to select independent clinical risk factors and multivariate logistic regression along with imaging omics tags were used to construct predictive models, which was evaluated by ROC curve. And the correlation between the clinical indicators of independent risk factors and the texture feature of radiomics signature was analyzed. Results: The efficacy of the model for the detection for AWMH progression, PWMH progression and DWMH progression was 0.818,0.778 and 0.824, respectively. Age is an independent risk factor for AWMH progression and DWMH progression[OR(95%CI), 4.776(2.152-10.601) vs. 3.851(1.101-8.245); P<0.05]. BMI is an independent risk factor for DWMH[OR(95%CI), 3.004(1.204-7.370); P<0.05], and hyperlipidemia is an independent risk factor for AWMH and PWMH[OR(95%CI), 4.062(1.834-8.998) vs. 3.549(1.666-7.563); P<0.05]. In AWMH subgroup, Surface Area was negatively correlated with age and low density lipoprotein(LDL) (r=-0.401, -0.312), and Inverse Difference Moment_ALLDirection_offset 1_SD was negatively correlated with age(r=-0.412). In PWMH subgroup, Compactness 1 was negatively correlated with LDL(r=-0.198), and Inverse Difference Moment_angle 0_offset 7 was positively correlated with LDL(r=0.252). In DWMH subgroup, LongRunEmphasis_ALLDirection_offset 7 was negatively correlated with age(r=-0.322), and GLCMEntropy_angle0_offset 4 was negatively correlated with age(r=-0.278). GLCMEntropy_AllDirection_offset4 was negatively correlated with body mass index(r=-0.514). Conclusion Radiomics based on whole-brain white matter MR imaging can predict WMH progression and identify the risk factors in high-risk populations, thus providing early additional information to conventional magnetic resonance imaging to predict WMH progression.

Traumatic brain injury (TBI) is one of the diseases with high morbidity,mortality,and disability,which seriously endangers human health.Primary and secondary injuries caused by TBI are cascade reaction of various pathophysiological interactions.Because of its many injury factors and complex mechanisms,the treatment and therapeutic effect of TBI are limited at present.In recent years,animal experiments and clinical studies have shown that stem cell therapy could alleviate TBI-mediated neurological damage to a certain extent.Therefore,activation of endogenous neural cells response and transplantation of exogenous stem cells may be new strategies for TBI treatment.This article reviews the research progress of activation of endogenous neural cells response and transplantation of exogenous stem cells after TBI,and focuses on the therapeutic effects and possible mechanisms of stem cell transplantation in TBI treatment.

The superiority of the cumulative outcomes of day 5/6 embryo transfer to those of day 2/3 embryo transfer in infertile couples has been debated.This retrospective study included data collected from 1051 patients from July 2011 to June 2014.Multiple maternal baseline covariates were subjected to propensity score matching analysis,and each day 5/6 group woman was matched to one day 2/3 group woman.A systematic meta-analysis was conducted to validate the results.After matching was completed,217 patients on the day 2/3 group were matched with those on the day 5/6 group,and no significant differences in the baseline characteristics were observed between the two groups.The cumulative pregnancy rate (57.14％ vs.53.46％,OR 1.16,95％ CI 0.79-1.70) and cumulative live birth rate (53.00％ vs.49.77％,OR 1.14,95％ CI 0.78-1.66) of day 5/6 embryo transfers were higher than those of day 2/3 embryo transfers,but this difference was not significant.The mean cycles per live birth and mean days per live birth in the day 5/6 group were significantly lower than those in the day 2/3 group.This study demonstrated that day 5/6 embryo transfer is a more cost-effective and time-efficient policy than day 2/3 embryo transfer to produce a live baby.