Search

Objective To explore PDK4 mRNA expression in breast cancer tissues and its relationship with prognosis. Methods We analyzed the mRNA expression of PDK4 by the Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) and estimated the correlation of PDK4 mRNA expression with the prognosis of breast cancer patients by Kaplan-Meier plotter (www.kmplot.com). Real-time PCR was used to detect the mRNA expression of PDK4 in TGF-β-treated MCF-7 cell line. siRNA decreased the mRNA level of PDK4 in breast cancer cells. Transwell assay was used to detect the invasion ability of MCF-7 cells. Results PDK4 was down-regulated in breast cancer tissues, and the low expression of PDK4 was positively correlated with poor prognosis of breast cancer patients. In breast cancer cell lines, TGF-β decreased PDK4 mRNA expression, and the low expression of PDK4 enhanced the invasion of MCF-7 cells. Conclusion The low mRNA level of PDK4 is an important prognosis indicator for breast cancer.

Copyright of Acta Agriculturae Zhejiangensis is the property of Acta Agriculturae Zhejiangensis Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objective To screen out the key genes leading to diabetic cardiomyopathy by analyzing the mRNA array associated with diabetic cardiomyopathy in the GEO database. Methods The online tool GEO2R of GEO was used to mine the differentially expressed genes (DEG) in the datasets GSE4745 and GSE5606.R was used to draw the volcano map of the DEG,and the Venn diagram was established online to identify the common DEG shared by the two datasets.The clusterProfile package in R was used for gene ontology annotation and Kyoto encyclopedia of genes and genomes pathway enrichment of the DEG.GSEA was used for gene set enrichment analysis,and STRING for the construction of a protein-protein interaction network.The maximal clique centrality algorithm in the plug-in Cytohubba of Cytoscape was used to determine the top 10 key genes. The expression of key genes was studied in the primary cardiomyocytes of rats and compared between the normal control group and high glucose group. Results The expression of Pdk4,Ucp3,Hmgcs2,Asl6,and Slc2a4 was consistent with the array analysis results.The expression of Pdk4,Ucp3,and Hmgcs2 was up-regulated while that of Acsl6 and Slc2a4 was down-regulated in the cardiomyocytes stimulated by high glucose (25 mmol/L) for 72 h. Conclusion Pdk4,Ucp3,Hmgcs2,Asl6,and Slc2a4 may be associated with the occurrence and development of diabetic cardiomyopathy,and may serve as the potential biomarkers of diabetic cardiomyopathy.