Exploration of the Potential Biomarkers of Papillary Thyroid Cancer (PTC) Based on RT 2 Profiler PCR Arrays and Bioinformatics Analysis
作者： Ying Peng , Han-Wen Zhang , Wei-Han Cao , Ying Mao , Ruo-Chuan Cheng
DOI: 10.2147/CMAR.S266473
关键词: Gene mutation 、 Bioinformatics analysis 、 Pcr arrays 、 Gene 、 Papillary thyroid cancer 、 Biology 、 Potential biomarkers 、 Signal Pathways 、 Computational biology 、 KEGG
摘要: Background Papillary thyroid carcinoma (PTC) has increased rapidly over recent years, and radiation, hormone effects, gene mutations, others were viewed as closely related. However, the molecular mechanisms of PTC have not been cleared. Therefore, we intended to screen more accurate key genes pathways by combining RT2 profiler PCR arrays bioinformatics methods in this study. Materials Methods firstly analyzed identify differential expression (DEGs) PTC. RT-qPCR performed verify most significant genes. The TCGA database was used further for expanded data. Enrichment analysis Gene Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) analyzed. To construct protein-protein interaction (PPI) network, STRING Cytoscape make module these DEGs. Results Sixteen differentially expressed presented arrays, including 13 down-regulated DEGs three up-regulated (DEGs), while stable eventually verified. A total 155 database, 82 73 (dDEGs). 29 important extracted after integrating two results, GO KEGG analyses observe possible action PPI network constructed hub Prognostic demonstrated involvement biological processes Conclusion This study identified some potential targets signal pathways, which might help us raise our awareness
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