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pmid:32047816
Screening and Identification of Key Biomarkers for Bladder Cancer: A Study Based on TCGA and GEO Data.
Yingkun Xu · Guangzhen Wu · Jianyi Li · Jiatong Li · Ningke Ruan · Liye Ma · Xiaoyang Han · Yanjun Wei · Liang Li · Hongge Zhang · Yougen Chen · Qinghua Xia
BioMed research international · 2020 doi:10.1155/2020/8283401
Paper
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Experiment
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Data
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Analysis
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Execution
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Complete file
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The recurrence rate is the highest of all cancers, and the treatment of BLCA has only slightly improved over the past 30 years. Genetic and environmental factors play an important role in the development and progression of BLCA. However, the mechanism of cancer development remains to be proven. Therefore, the identification of potential oncogenes is urgent for developing new therapeutic directions and designing novel biomarkers for the diagnosis and prognosis of BLCA. Based on this need, we screened overlapping differentially expressed genes (DEG) from the GSE7476, GSE13507, and TCGA BLCA datasets. To identify the central genes from these DEGs, we performed a protein-protein interaction network analysis. 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