机构：[1]Department of Nephrology, Nanjing University of Traditional Chinese Medicine, Nanjing, Jiangsu, People’s Republic of China,[2]Department of Nephrology, Shenzhen Bao’an District Songgang People’s Hospital, Shenzhen, Guangdong, People’s Republic of China,深圳市康宁医院深圳医学信息中心[3]Department of Pediatrics, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, People’s Republic of China,[4]Department of Vasculocardiology Deparment, Taizhou Clinical Medical College of Nanjing Medical University (Taizhou People’s Hospital), Taizhou, Jiangsu, People’s Republic of China,[5]Department of Nephrology, Taizhou Clinical Medical College of Nanjing Medical University (Taizhou People’s Hospital), Taizhou, Jiangsu, People’s Republic of China
Papillary renal cell carcinoma (PRCC) is the most common type of renal cell carcinoma after clear cell renal cell carcinoma (ccRCC). Its pathological classification is controversial, and its molecular mechanism is poorly understood. Therefore, the identification of key genes and their biological pathways is of great significance to elucidate the molecular mechanisms of PRCC occurrence and progression.The PRCC-related datasets GSE7023, GSE48352 and GSE15641 were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified, and gene ontology (GO) term enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed. Cytoscape and STRING were used to construct the protein-protein interaction network (PPI) and perform module analysis to identify hub genes and key pathways. A heatmap of hub genes was constructed using the UCSC cancer genomics browser. Overall survival and recurrence-free survival of patients stratified by the expression levels of hub genes were analysed using Kaplan-Meier Plotter. The online database UALCAN was applied to analyse gene expression based on tissue type, stage, subtype and race.A total of 214 DEGs, specifically, 205 downregulated genes and 9 upregulated genes, were identified. The DEGs were mainly enriched in angiogenesis, kidney development, oxidation-reduction process, metabolic pathways, etc. The 17 hub genes identified were mainly enriched in the biological processes of angiogenesis, cell adhesion, platelet degranulation, and leukocyte transendothelial migration. Survival analysis showed that EGF, KDR, CXCL12, REN, PECAM1, CDH5, THY1, WT1, PLAU and DCN might be related to the carcinogenesis, metastasis or recurrence of PRCC. UALCAN analysis showed that low expression of PECAM1 and PLAU in PRCC tissues was related to stage, subtype and race.The DEGs and hub genes identified in the present study provide insight into the specific molecular mechanisms of PRCC occurrence and development and may be potential molecular markers and therapeutic targets for the accurate classification and efficient diagnosis and treatment of PRCC.
基金：
Scientific
Project of Taizhou (TS201901) and Taizhou
People’s Hospital Mandatory Project (ZL202012).
第一作者机构：[1]Department of Nephrology, Nanjing University of Traditional Chinese Medicine, Nanjing, Jiangsu, People’s Republic of China,
共同第一作者：
通讯作者：
推荐引用方式(GB/T 7714)：
Xu Yingying,Kong Deyang,Li Zhongtang,et al.Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis.[J].PLOS ONE.2021,16(8):doi:10.1371/journal.pone.0254868.
APA：
Xu Yingying,Kong Deyang,Li Zhongtang,Qian Lingling,Li Junchao&Zou Chunbo.(2021).Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis..PLOS ONE,16,(8)
MLA：
Xu Yingying,et al."Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis.".PLOS ONE 16..8(2021)
