BackgroundSix2, a transcription factor, exerts an oncogenic role in clear cell renal cell carcinoma (ccRCC). Increased Six2 expression could enhance cancer metastasis. However, the regulatory action of Six2 remains unclear in cancer. The purpose of this study is to analyze the regulatory pattern and potential downstream effectors of Six2.MethodsFirstly, transcriptional data in TCGA-KIRC cohorts was used to analyze the relationship between Six2 expression and clinical information. Then, we analyzed Six2-related differentially expressed genes (DEGs) and constructed a prognostic model using the Lasso-Cox algorithm by integrating Six2 ChIP data and co-expressed genes. Next, we analyzed the clinical significance of this model and examined the DEGs between the high-and low-risk group. Finally, we intersected the GO and KEGG pathway results between Six2-related DEGs and risk-related DEGs to reveal biological functions in which Six2 is involved.ResultsSix2 was increased in RCC cells compared with normal kidney cells and upregulated Six2 was positively linked with clinical stage, M stage, and worse survival. Potential downstream effectors and biological functions regulated by Six2 were identified using in silico analysis. Meanwhile, a risk model based on 8 Six2 target genes was established to classify ccRCC patients into high-and-low groups. This risk model showed a reliable ability to forecast the overall survival of ccRCC patients. Shared enriched pathways were found between the Six2 high-and low-expression and risk groups, such as epithelial-to-mesenchymal transition, PI3K-Akt pathway, etc.ConclusionOur findings provide a promising prognostic indicator for ccRCC patients and help better understand the transcriptional role of Six2 in ccRCC.