scholarly journals Biological functions and prognostic value of RNA Binding Proteins in clear cell Renal Cell Carcinoma

2020 ◽  
Vol 11 (22) ◽  
pp. 6591-6600 ◽  
Author(s):  
Zhenpeng Zhu ◽  
Anbang He ◽  
Lanruo Lin ◽  
Chunru Xu ◽  
Tianyu Cai ◽  
...  
2020 ◽  
Vol 9 (12) ◽  
pp. 7415-7431
Author(s):  
Can-Xuan Li ◽  
Jie Chen ◽  
Zheng-Guang Xu ◽  
Wing-Keung Yiu ◽  
Yen-Ting Lin

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Bowen Wang ◽  
Haoran Zhao ◽  
Shaobin Ni ◽  
Beichen Ding

Background and Purpose. The renal cell carcinoma is one of the main malignant tumors in the genitourinary system, which seriously affects human health. Unregulated expression of RNA binding proteins (RBPs) is thought to be involved in the progression of many cancers. However, the role of RBPs in the clear cell renal cell carcinoma (ccRCC) is not yet clear. Methods. We downloaded the RNA sequencing data of ccRCC from the Cancer Genome Atlas (TCGA) database and identified differently expressed RBPs in different tissues. In this study, we used bioinformatics to analyze the expression and prognostic value of RBPs; then, we performed functional analysis and constructed a protein interaction network for them. We also screened out some RBPs related to the prognosis of ccRCC. Finally, based on the identified RBPs, we constructed a prognostic model that can predict patients’ risk of illness and survival time. Also, the data in the HPA database were used for verification. Results. In our experiment, we obtained 539 ccRCC samples and 72 normal controls. In the subsequent analysis, 87 upregulated RBPs and 38 downregulated RBPs were obtained. In addition, 9 genes related to the prognosis of patients were selected, namely, RPL36A, THOC6, RNASE2, NOVA2, TLR3, PPARGC1A, DARS, LARS2, and U2AF1L4. We further constructed a prognostic model based on these genes and plotted the ROC curve. This ROC curve performed well in judgement and evaluation. A nomogram that can judge the patient’s life span is also made. Conclusion. In conclusion, we have identified differentially expressed RBPs in ccRCC and carried out a series of in-depth research studies, the results of which may provide ideas for the diagnosis of ccRCC and the research of new targeted drugs.


2020 ◽  
Vol Volume 13 ◽  
pp. 9135-9145
Author(s):  
Zhenpeng Zhu ◽  
Chunru Xu ◽  
Lanruo Lin ◽  
Tongde Lv ◽  
Tianyu Cai ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Haiyan Shen ◽  
Guomin Luo ◽  
Qingjuan Chen

AbstractApproximately 338,000 patients are diagnosed with kidney cancer worldwide each year, and renal cell carcinoma (RCC), which is derived from renal epithelium, accounts for more than ninety percent of the malignancy. Next generation RNA sequencing has enabled the identification of novel long noncoding RNAs (lncRNAs) in the past 10 years. Recent studies have provided extensive evidence that lncRNAs bind to chromatin modification proteins, transcription factors, RNA-binding proteins and microRNAs, and thereby modulate gene expression through regulating chromatin status, gene transcription, pre-mRNA splicing, mRNA decay and stability, protein translation and stability. In vitro and in vivo studies have demonstrated that over-expression of oncogenic lncRNAs and silencing of tumor suppressive lncRNAs are a common feature of human RCC, and that aberrant lncRNA expression is a marker for poor patient prognosis, and is essential for the initiation and progression of RCC. Because lncRNAs, compared with mRNAs, are expressed in a tissue-specific manner, aberrantly expressed lncRNAs can be better targeted for the treatment of RCC through screening small molecule compounds which block the interaction between lncRNAs and their binding proteins or microRNAs.


Aging ◽  
2019 ◽  
Vol 11 (23) ◽  
pp. 11474-11489 ◽  
Author(s):  
Bangbei Wan ◽  
Bo Liu ◽  
Yuan Huang ◽  
Gang Yu ◽  
Cai Lv

2021 ◽  
Vol Volume 13 ◽  
pp. 6673-6687
Author(s):  
Hanrong Li ◽  
Huiming Jiang ◽  
Zhicheng Huang ◽  
Zhilin Chen ◽  
Nanhui Chen

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