Metabolic genes, a potential predictor of prognosis and immunogenicity of clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcinoma (RCC). Many ccRCCs are diagnosed at an advanced stage due to the lack of early symptoms, with a high mortality rate and a poor prognosis. The occurrence and development of ccRCC are closely related to metabolic disorders. This study aims to explore the relationship between metabolic genes and prognosis, immune microenvironment, and tumor development of ccRCC. Using data from TCGA, GEO, and ArrayExpress, we successfully established a risk model (riskScore) based on 4 metabolic genes (MGs) that can accurately predict the prognosis and immune microenviron-ment of ccRCCs. In addition, we determined the role of PAFAH2 in suppressing tumor cell proliferation and migration in ccRCC in vitro. Our research may shed new light on ccRCC patients' prognosis and treatment management.

Automated summary

This study aims to explore the relationship between metabolic genes and prognosis, immune microenvironment, and tumor development of clear cell renal cell carcinoma (ccRCC). A risk model based on 4 metabolic genes was established to accurately predict the prognosis and immune microenvironment of ccRCCs. In addition, the role of PAFAH2 in suppressing tumor cell proliferation and migration in ccRCC was determined. This research may provide new insights into the prognosis and treatment management of ccRCC patients.