scholarly journals Development of prognostic signature based on RNA binding proteins related genes analysis in clear cell renal cell carcinoma

Aging ◽  
2021 ◽  
Author(s):  
Qiang Chen ◽  
Zhi-Long Li ◽  
Sheng-Qiang Fu ◽  
Si-Yuan Wang ◽  
Yu-Tang Liu ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Binding Proteins ◽  
Rna Binding ◽  
Clear Cell ◽  
Rna Binding Proteins ◽  
Prognostic Signature ◽  
Cell Renal Cell Carcinoma

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 ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Prognostic Value ◽  
Binding Proteins ◽  
Rna Binding ◽  
Clear Cell ◽  
Rna Binding Proteins ◽  
Biological Functions ◽  
Cell Renal Cell Carcinoma

scholarly journals The expression and prognostic value of RNA binding proteins in clear cell renal cell carcinoma

2020 ◽  
Vol 9 (12) ◽  
pp. 7415-7431
Author(s):  
Can-Xuan Li ◽  
Jie Chen ◽  
Zheng-Guang Xu ◽  
Wing-Keung Yiu ◽  
Yen-Ting Lin
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Prognostic Value ◽  
Binding Proteins ◽  
Rna Binding ◽  
Clear Cell ◽  
Rna Binding Proteins ◽  
Cell Renal Cell Carcinoma

scholarly journals Integrated Analysis of the Roles of RNA Binding Proteins and Their Prognostic Value in Clear Cell Renal Cell Carcinoma

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Bowen Wang ◽  
Haoran Zhao ◽  
Shaobin Ni ◽  
Beichen Ding
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Roc Curve ◽  
Renal Cell ◽  
Prognostic Value ◽  
Prognostic Model ◽  
Rna Binding ◽  
Clear Cell ◽  
Rna Binding Proteins ◽  
Cell Renal Cell Carcinoma

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.

scholarly journals Six RNA binding proteins (RBPs) related prognostic model predicts overall survival for clear cell renal cell carcinoma and it is associated with immune infiltration

2021 ◽  
Author(s):  
Qianwei Xing ◽  
Jiaochen Luan ◽  
Shouyong Liu ◽  
Limin Ma ◽  
Yi Wang
Keyword(s):  
Renal Cell Carcinoma ◽  
Overall Survival ◽  
Prognostic Model ◽  
Binding Proteins ◽  
Rna Binding ◽  
Clear Cell ◽  
Rna Binding Proteins ◽  
Prognostic Signature ◽  
Cell Renal Cell Carcinoma ◽  
Immune Infiltration

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.

scholarly journals Long noncoding RNAs as tumorigenic factors and therapeutic targets for renal cell carcinoma

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Haiyan Shen ◽  
Guomin Luo ◽  
Qingjuan Chen
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Binding Proteins ◽  
Rna Binding ◽  
Rna Binding Proteins ◽  
Noncoding Rnas ◽  
Protein Translation ◽  
Long Noncoding Rnas ◽  
In Vivo Studies

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.

scholarly journals N6-Methyladenosine-Related Long Non-coding RNA Signature Associated With Prognosis and Immunotherapeutic Efficacy of Clear-Cell Renal Cell Carcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Tianming Ma ◽  
Xiaonan Wang ◽  
Jiawen Wang ◽  
Xiaodong Liu ◽  
Shicong Lai ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Differential Expression ◽  
Renal Cell ◽  
Cox Regression ◽  
Clear Cell ◽  
Gene Set Enrichment Analysis ◽  
Prognostic Signature ◽  
Cell Renal Cell Carcinoma ◽  
Cox Regression Analysis

Increasing evidence suggests that N6-methyladenosine (m6A) and long non-coding RNAs (lncRNAs) play important roles in cancer progression and immunotherapeutic efficacy in clear-cell renal cell carcinoma (ccRCC). In this study, we conducted a comprehensive ccRCC RNA-seq analysis using The Cancer Genome Atlas data to establish an m6A-related lncRNA prognostic signature (m6A-RLPS) for ccRCC. Forty-four prognostic m6A-related lncRNAs (m6A-RLs) were screened using Pearson correlation analysis (|R| &gt; 0.7, p &lt; 0.001) and univariable Cox regression analysis (p &lt; 0.01). Using consensus clustering, the patients were divided into two clusters with different overall survival (OS) rates and immune status according to the differential expression of the lncRNAs. Gene set enrichment analysis corroborated that the clusters were enriched in immune-related activities. Twelve prognostic m6A-RLs were selected and used to construct the m6A-RLPS through least absolute shrinkage and selection operator Cox regression. We validated the differential expression of the 12 lncRNAs between tumor and non-cancerous samples, and the expression levels of four m6A-RLs were further validated using Gene Expression Omnibus data and Lnc2Cancer 3.0 database. The m6A-RLPS was verified to be an independent and robust predictor of ccRCC prognosis using univariable and multivariable Cox regression analyses. A nomogram based on age, tumor grade, clinical stage, and m6A-RLPS was generated and showed high accuracy and reliability at predicting the OS of patients with ccRCC. The prognostic signature was found to be strongly correlated to tumor-infiltrating immune cells and immune checkpoint expression. In conclusion, we established a novel m6A-RLPS with a favorable prognostic value for patients with ccRCC. The 12 m6A-RLs included in the signature may provide new insights into the tumorigenesis and allow the prediction of the treatment response of ccRCC.

scholarly journals Identification and validation of a hypoxia-related prognostic signature in clear cell renal cell carcinoma patients

Medicine ◽  
2021 ◽  
Vol 100 (39) ◽  
pp. e27374
Author(s):  
Zhengtian Li ◽  
Gang Du ◽  
Rong Zhao ◽  
Wenkang Yang ◽  
Chan Li ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Prognostic Signature ◽  
Cell Renal Cell Carcinoma
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