Bioinformatic analysis identifies potentially key differentially expressed genes in oncogenesis and progression of clear cell renal cell carcinoma

• Published in: PeerJ (San Francisco, CA) Vol. 7; p. e8096
• Main Authors: Zhang, Haiping, Zou, Jian, Yin, Ying, Zhang, Bo, Hu, Yaling, Wang, Jingjing, Mu, Huijun
• Format: Journal Article
• Language: English
• Published: San Diego PeerJ. Ltd 26.11.2019; PeerJ, Inc; PeerJ Inc
• Subjects: Algorithms; Biochemistry; Bioinformatic analysis; Bioinformatics; Biological markers; Biomarkers; Biotechnology industries; Cancer; Cancer genetics; Carcinogenesis; Carcinoma; Clear cell-type renal cell carcinoma; Computational Biology; Cytokinesis; Development and progression; Differentially expressed genes; DNA microarrays; Gene expression; Genes; Genetic engineering; Genomes; Genomics; Kidney cancer; Messenger RNA; Molecular modelling; Nephrology; Novels; Oncology; Ontology; Patients; Protein-protein interaction; Protein-protein interactions; Proteins; Renal cell carcinoma; RNA; Software; Survival analysis; Tumorigenesis; Tumors; Visualization; United States

Clear cell renal cell carcinoma (ccRCC) is one of the most common and lethal types of cancer within the urinary system. Great efforts have been made to elucidate the pathogeny. However, the molecular mechanism of ccRCC is still not well understood. The aim of this study is to identify key genes in t...