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Dataset Information

Identification of potential novel differentially-expressed genes and their role in invasion and migration in renal cell carcinoma.


ABSTRACT: Clear cell renal cell carcinoma (ccRCC) remains one of the most common cancer types globally, and while it has been extensively studied, the molecular basis for its pathology remains incompletely understood. Herein, we profiled three previously published datasets (GSE66272, GSE100666, and GSE105261) in a single integrated analysis aimed at identifying disease-associated patterns of gene expression that may offer mechanistic insight into the drivers of this disease. We pooled expression data from 39 normal kidney samples and 39 kidney tumors, leading us to identify 310 differentially expressed genes (DEGs) that were linked to kidney cancer in all three analyzed datasets. Of these genes, 133 and 177 were up- and down-regulated, respectively, in cancer samples. We then incorporated these DEGs

SUBMITTER: Shi SN 

PROVIDER: S-EPMC7288970 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature