A plasma membrane protein based prognostic model in clear cell renal cell carcinoma

Abstract

Background Renal cell cacinoma (RCC) accounts for 3% of human cancers, and clear cell renal cell carcinoma (ccRCC) is the most common pathological type of RCC. Cell surface proteins have been shown to play an important role in the occurrence and progression of various cancers. In this study, we focused on plasma membrane proteins (PMPs), to explore their potential value in ccRCC. Methods The PMPs expression profiles and ccRCC patients’ clinical information were downloaded from TCGA database. Through a series of bioinformatic methods, we established a plasma membrane proteins prognostic model. Results Multivariate cox regression analysis and area under receiver operating characteristic curve indicated that this model was an effective independent predictor of ccRCC clinical outcomes. Combined with other two clinical characteristics, a nomogram was constructed to predict patient survival at 1, 3, and 5 years. Conclusions Our study is the first to explore the prognostic value of plasma membrane proteins in clear cell renal cell carcinoma. We hope our work could provide a new viewpoint for ccRCC prognosis and drawn people’s attention to plasma membrane proteins in clear cell renal cell carcinoma.