Bioinformatics Analysis Identified Key Molecular Changes in Bladder Cancer Development and Recurrence
作者： Qingke Chen , Jieping Hu , Jun Deng , Bin Fu , Ju Guo
DOI: 10.1155/2019/3917982
关键词: Regulation of gene expression 、 Gene 、 Biology 、 Cancer 、 Bladder cancer 、 Gene expression 、 Gene expression profiling 、 ASPM 、 Computational biology 、 Tissue cluster
摘要: Background and Objectives: Bladder cancer (BC) is a complex tumor associated with high recurrence mortality. To discover key molecular changes in BC, we analyzed next-generation sequencing data of BC surrounding tissue samples from clinical specimens. Methods. Gene expression profiling datasets bladder were online. The Database for Annotation, Visualization, Integrated Discovery (DAVID, https://david.ncifcrf.gov/) was used to perform Ontology (GO) functional KEGG pathway enrichment analyses. Molecular Complex Detection (MCODE) Cytoscape software (Cytoscape_v3.6.1) applied identify hub genes. Protein survival downloaded OncoLnc (http://www.oncolnc.org/). obtained the ONCOMINE website (https://www.oncomine.org/). Results. We identified 4211 differentially expressed genes (DEGs) by analysis vs. (SC analysis) 410 DEGs recurrent cluster (CR analysis). GO function revealed related cytoplasm nucleoplasm both clusters, showed PI3K-Akt signaling pathway. defined 20 highest degree connectivity as Cox regression CCNB1, ESPL1, CENPM, BLM, ASPM overall survival. levels 4.795-, 5.028-, 8.691-, 2.083-, 3.725-fold higher than normal tissues, respectively. Conclusions. results suggested that functions may contribute development BLM also recurrence.
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