RESUMO
Bladder cancer (BC) is one of the most malignancies in terms of incidence and recurrence worldwide. The aim of this study is to find out novel and prognostic biomarkers for patients with BC. First, we identified 258 differentially expressed genes by using GSE19915 from Gene Expression Omnibus database. Second, a total of 33 modules were identified by constructing a coexpression network by using weighted gene coexpression network analysis and yellow module was regarded as the key module. Furthermore, by constructing protein-protein interaction networks, we preliminarily picked out 13 genes. Among them, four hub genes (CCNB1, KIF4A, TPX2, and TRIP13) were eventually identified by using five different methods (survival analysis, one-way analysis of variance, the Spearman correlation analysis, receiver operating characteristic curve, and expression value comparison), which were significantly correlated with the prognosis of BC. The validation of transcriptional and translational levels made sense (based on Oncomine and The Human Protein Atlas database). Moreover, functional enrichment analysis suggested that all the hub genes played crucial roles in chromosome segregation, sister chromatid segregation, nuclear chromosome segregation, mitotic nuclear division, nuclear division, and organelle fission during cell mitosis. In addition, three of the hub genes (KIF4A, TPX2, and TRIP13) might be potential targets of cancer drugs according to the results of the genetical alteration. In conclusion, this study indicates that four hub genes have great predictive value for the prognosis of BC, and may contribute to the exploration of the further and more in-depth research of BC.
Assuntos
ATPases Associadas a Diversas Atividades Celulares/genética , Proteínas de Ciclo Celular/genética , Ciclina B1/genética , Cinesinas/genética , Proteínas Associadas aos Microtúbulos/genética , Neoplasias da Bexiga Urinária/patologia , Idoso , Biomarcadores Tumorais/genética , Carcinogênese/genética , Biologia Computacional , Bases de Dados Genéticas , Feminino , Perfilação da Expressão Gênica , Regulação Neoplásica da Expressão Gênica , Humanos , Masculino , Pessoa de Meia-Idade , Prognóstico , Neoplasias da Bexiga Urinária/genética , Neoplasias da Bexiga Urinária/mortalidadeRESUMO
OBJECTIVE: To observe and compare the effects of Hanfangji Compound and IFN-gamma on expressions of transthyretin (TTR) , inter-alpha inhibitor H1 (ITIH1) and serpin peptidase inhibitor clade F member 2 (SERPINF2) of hepatic stellate cells (HSC-T6). METHOD: Hanfangji Compound and IFN-gammaof different concentrations were used in hepatic stellate cell-T6 (HSC-T6) for 48 h. Flow cytometer was used to detect the effects of Hanfangji Compound and IFN-gamma on HSC proliferation. RT-PCR method was adopted to detect mRNA expressions of TFR, ITIH1 and SERPINF2. TTR, ITIH1 and SERPINF2 secretions were detected by ELISA. The protein localizations of TTR, ITIH1 and SERPINF2 were examined by immune fluorescence. The protein expression of TfR and ITIHI were determined by Western blot. RESULT: After Hanfangji Compound and IFN-gamma were adopted in HSC-T6, compared with the control group, the cell proliferation was inhibited obviously (P < 0. 05) , protein expressions of TTR, ITIH1 and SERPINF2 and mRNA expression increased significantly, with certain correlation with concentrations of Hanfangji Compound. The 2. 5 g L-I Hanfangji Compound group was superior to the IFN-gamma group (P <0. 05). CONCLUSION: Hanfangji Compound can inhibit HSC proliferation, upregulated TTR, ITIH1 and SERPINF2 proteins and mRNA expression, which may be one of mechanisms of anti-hepatic fibrosis of Hanfangji Compound.
