Open AccessSix RNA binding proteins (RBPs) related prognostic model predicts overall survival for clear cell renal cell carcinoma and it is associated with immune infiltration
Author(s) -
Qianwei Xing,
Jiaochen Luan,
Shouyong Liu,
Yi Wang
Publication year - 2021
Publication title -
bosnian journal of basic medical sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.738
H-Index - 25
eISSN - 1840-4812
pISSN - 1512-8601
DOI - 10.17305/bjbms.2021.6097
Subject(s) - clear cell renal cell carcinoma , nomogram , proportional hazards model , rna binding protein , oncology , medicine , immune system , renal cell carcinoma , biology , rna , immunology , gene , biochemistry
The aim of this article was to construct an accurate prognostic model by using RNA-binding proteins (RBPs) to predict overall survival (OS) for patients with clear cell renal cell carcinoma (ccRCC) as well as to reveal its associations with immune infiltration. Expression profiles based on RNA-binding proteins (RBPs) and clinical follow-up parameters were obtained from the Cancer Genome Atlas (TCGA) and the ArrayExpress databases. Through univariate COX and LASSO regression analyses, the RBPs based signature was developed. A total of six RBPs (CLK2, IGF2BP2, RNASE2, EZH2, PABPC1L, RPL22L1) were eventually used to establish a prognostic signature. Based on this signature, ccRCC patients were classified into high-risk and low-risk subgroups and significant OS was obtained in both the internal and external datasets (p<0.05). AUCs of its ROC curve were all above 0.70 and this signature was an independent prognostic factor of OS for ccRCC (p<0.05). Nomograms were also constructed to visualize the relationships among individual predictors and 1-, 3- and 5-year OS for ccRCC. Furthermore, the established RBPs based signature was strongly related to critical clinicopathologic characteristics such as grade (p=8.921e−12), stage (p=1.421e−11), M (p=1.662e−05), and T stage (p=7.907e−10). Moreover, 12 kinds of tumor-infiltrating immune cells were significantly linked to high-risk and low-risk groups classified by our constructed model (all p<0.05). Our study successfully identified six RBPs as a robust prognostic signature in ccRCC by both external and internal verification. Besides, our established model displayed significant associations with immune infiltration. In addition to original clinical parameters, our findings may further help clinicians in predicting patients’ survival status and creating individualized treatment plans.