Integrated analysis of a competing endogenous RNA network in renal cell carcinoma using bioinformatics tools
Author(s) -
Weidong Jiang,
Zhihua Ye
Publication year - 2019
Publication title -
bioscience reports
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 77
eISSN - 1573-4935
pISSN - 0144-8463
DOI - 10.1042/bsr20190996
Subject(s) - competing endogenous rna , microrna , circular rna , kegg , computational biology , biology , carcinogenesis , gene , gene expression , bioinformatics , gene regulatory network , rna , genetics , gene ontology , long non coding rna
Circular RNAs (circRNAs) are known to be closely involved in tumorigenesis and cancer progression. Nevertheless, their function and underlying mechanisms in renal cell carcinoma (RCC) remain largely unknown. The aim of the present study was to explore their expression, functions, and molecular mechanisms in RCC.
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