Aims: This research aimed to construct a signature based on chromatin regulation in localized clear cell renal cell carcinoma (ccRCC). Materials & methods: Non-negative matrix factorization clustering was performed on 438 localized ccRCC cases. The immune infiltration was generated by the single-sample gene set enrichment analysis algorithm. Survival analyses were performed using the Kaplan-Meier method, and the significance of the differences was determined using the log-rank test. The risk score was constructed based on the expression of chromatin regulators to quantify chromatin modification. Results: A score system based on chromatin modification was established. The high-risk subtype was characterized by increased tumor mutation burden, whereas a low-risk score was characterized by an increase in chromatin regulator expression and better overall survival. Conclusion: This research has constructed a signature based on chromatin regulation in localized ccRCC.
Keywords: ccRCC; chromatin; immunotherapy; tumor microenvironment; tumor mutation burden.
This research aimed to construct a prognostic model based on chromatin regulation in localized clear cell renal cell carcinoma (ccRCC). There were 438 localized ccRCC patients included. Patients were classified into different chromatin groups and risk groups. The immune infiltration and survival analyses were performed on distinct groups. The prognostic model was constructed by including clinical characteristics and risk scores. Three different chromatin groups and two risk groups were established. Remarkable differences in immunity and survival were found in distinct chromatin groups and risk groups. A nomogram was plotted to visualize the predictive survival rate based on risk and clinical characteristics. This research has constructed a prognostic model based on chromatin regulation in localized ccRCC.