Identification of potential biomarkers and candidate therapeutic drugs for clear cell renal cell carcinoma by bioinformatic analysis and reverse network pharmacology.

ABSTRACT: This study aims to analyze the potential biomarkers using bioinformatics technology, explore the pathogenesis, and investigate potential Chinese herbal ingredients for the Clear cell renal cell carcinoma (ccRCC), which could provide theoretical basis for early diagnosis and effective treatment of ccRCC. The gene expression datasets GSE6344 and GSE53757 were obtained from the Gene Expression Omnibus database to screen differentially expressed genes (DEGs) involved in ccRCC carcinogenesis and disease progression. Enrichment analyses, protein-protein interaction networks construction, survival analysis and herbal medicines screening were performed with related software and online analysis platforms. Moreover, network pharmacology analysis has also been performed to screen potential target dru

SUBMITTER: Meng Z 

PROVIDER: S-EPMC10476848 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature