Integrated Analysis of the Functions and Prognostic Values of RNA-Binding Proteins in Colorectal Cancer

被引:7
|
作者
Wang, Ya [1 ,2 ,3 ]
Chen, Yuqiao [1 ,2 ,3 ]
Xiao, Shuai [4 ,5 ]
Fu, Kai [1 ,2 ,3 ,6 ,7 ,8 ]
机构
[1] Cent South Univ, Xiangya Hosp, Inst Mol Precis Med, Changsha, Peoples R China
[2] Cent South Univ, Xiangya Hosp, Hunan Key Lab Mol Precis Med, Changsha, Peoples R China
[3] Cent South Univ, Xiangya Hosp, Dept Gen Surg, Changsha, Peoples R China
[4] Univ South China, Affiliated Hosp 1, Dept Gastrointestinal Surg, Hengyang, Peoples R China
[5] Univ South China, Affiliated Hosp 1, Inst Clin Med, Hengyang, Peoples R China
[6] Cent South Univ, Sch Life Sci, Ctr Med Genet, Changsha, Peoples R China
[7] Cent South Univ, Sch Life Sci, Hunan Key Lab Med Genet, Changsha, Peoples R China
[8] Cent South Univ, Hunan Key Lab Amin Models Human Dis, Changsha, Peoples R China
基金
中国国家自然科学基金;
关键词
colorectal cancer; RNA-binding protein; prognostic signature; overall survival; regulatory network; KRUPPEL-LIKE FACTOR-4; HUMAN COLON-CANCER; HUR; STABILITY; TRANSLATION; EXPRESSION; PHOSPHORYLATION; PROTOONCOGENE; PROLIFERATION; TRANSCRIPTION;
D O I
10.3389/fcell.2020.595605
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Colorectal cancer (CRC) is one of the most common malignant tumors. Selecting effective treatment for CRC patients, especially in the early stages, remains a challenge because of the lack of adequate biomarkers. Recent evidence suggests that RNA-binding proteins (RBPs) play a vital role in development and progression of carcinogenesis. However, their mechanisms in cancer progression are still limited. The role of RBPs in CRC has been poorly understood. There were 1,542 reported RBPs analyzed between CRC tissues and normal tissues using the Wilcoxon test to identify differentially expressed RBPs (DE RBPs). Then, the potential functions and the prognostic value of these DE RBPs were explored through systematic bioinformatics analysis. There were 177 DE RBPs identified between CRC tissues and normal tissues. A protein-protein interaction network was constructed based on DE RBPs, and critical modules were screened. A regulatory network between prognostic DE RBPs and differentially expressed transcription factors was constructed. Besides, a risk signature was built based on prognostic DE RBPs, which is able to predict overall survival of CRC patients with high accuracy. In conclusion, the results provided a comprehensive understanding of the functions of RBPs in CRC, as well as an RBP-related prognostic signature.
引用
收藏
页数:12
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