Integrated analysis of the functions of RNA binding proteins in clear cell renal cell carcinoma

被引:3
|
作者
Hua, Xiaoliang [1 ,2 ,3 ]
Chen, Juan [4 ]
Ge, Shengdong [1 ,2 ,3 ]
Xiao, Haibing [1 ,2 ,3 ]
Zhang, Li [1 ,2 ,3 ]
Liang, Chaozhao [1 ,2 ,3 ]
机构
[1] Anhui Med Univ, Affiliated Hosp 1, Dept Urol, Hefei, Peoples R China
[2] Anhui Med Univ, Anhui Prov Key Lab Genitourinary Dis, Hefei, Peoples R China
[3] Anhui Med Univ, Inst Urol, Hefei, Peoples R China
[4] Chongqing Med Univ, Coll Lab Med, Minist Educ, Key Lab Lab Med Diagnost, Chongqing 400016, Peoples R China
基金
中国国家自然科学基金;
关键词
Clear cell renal cell carcinoma; RNA binding proteins; Prognostic model; Biomarker; Bioinformatics;
D O I
10.1016/j.ygeno.2020.10.016
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
RNA binding proteins (RBPs) dysregulation is involved in the processes of various tumors. However, the roles of RBPs in clear cell renal cell carcinoma (ccRCC) remain poorly understand. In present study, we first performed consensus clustering and identified two clusters, of which cluster 2 was closely correlated with the malignancy of ccRCC. Differentially expressed RBPs between normal and tumor tissues were obtained, comprising 71 upregulated and 44 down-regulated ones. Then, ten hub genes were selected and validated using The Human Protein Atlas database and receiver operating characteristic curves, showing good diagnostic value for cancers. Besides, we identified ten RBPs with the most useful prognostic values, and were used to construct a risk score model. The model could be used to stratify patients with different prognosis and phenotype distributions. The model showed good performance and can be used as a complementation for clinical factors to guide clinical practice in the future.
引用
收藏
页码:850 / 860
页数:11
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