Renal cell carcinoma, particularly kidney renal clear cell carcinoma (KIRC), remains a highly aggressive tumor type characterized by poor clinical outcomes and a lack of reliable molecular markers. In this study, we applied a comprehensive analytical pipeline-combining differential gene expression analysis, weighted gene co-expression network analysis (WGCNA), LASSO regression, and Random Forest modeling-based on the GSE53757 dataset to identify key regulatory genes, ultimately prioritizing CENPW for further investigation. Subsequent validation using TCGA and GTEx datasets confirmed that CENPW expression is markedly elevated in KIRC and is strongly correlated with unfavorable pathological features and reduced patient survival. Functional assays demonstrated that silencing CENPW inhibited KIRC cell proliferation, migration, invasion, and in vivo tumor growth. Notably, these effects were accompanied by increased PD-L1 and E-cadherin expression, implicating CENPW in the regulation of immune responses and epithelial-mesenchymal transition. Furthermore, predictive modeling and molecular docking revealed that tumors with elevated CENPW levels exhibited enhanced sensitivity to targeted therapies such as OSU-03012 and rapamycin. Collectively, our findings indicate that CENPW acts as a potential oncogenic regulator in KIRC, influencing both immune pathways and therapeutic responsiveness, and may serve as a novel biomarker and treatment target.