Integrated Analysis of the Roles of RNA Binding Proteins and Their Prognostic Value in Clear 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...

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Main Authors: Bowen Wang, Haoran Zhao, Shaobin Ni, Beichen Ding
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Journal of Healthcare Engineering
Online Access:http://dx.doi.org/10.1155/2021/5568411
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spelling doaj-b06102f8b8a54c7fa7f3de6770180c672021-07-12T02:12:46ZengHindawi LimitedJournal of Healthcare Engineering2040-23092021-01-01202110.1155/2021/5568411Integrated Analysis of the Roles of RNA Binding Proteins and Their Prognostic Value in Clear Cell Renal Cell CarcinomaBowen Wang0Haoran Zhao1Shaobin Ni2Beichen Ding3Department of UrologyDepartment of Hepatopancreatobiliary SurgeryDepartment of UrologyDepartment of UrologyBackground 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.http://dx.doi.org/10.1155/2021/5568411
collection DOAJ
language English
format Article
sources DOAJ
author Bowen Wang
Haoran Zhao
Shaobin Ni
Beichen Ding
spellingShingle Bowen Wang
Haoran Zhao
Shaobin Ni
Beichen Ding
Integrated Analysis of the Roles of RNA Binding Proteins and Their Prognostic Value in Clear Cell Renal Cell Carcinoma
Journal of Healthcare Engineering
author_facet Bowen Wang
Haoran Zhao
Shaobin Ni
Beichen Ding
author_sort Bowen Wang
title Integrated Analysis of the Roles of RNA Binding Proteins and Their Prognostic Value in Clear Cell Renal Cell Carcinoma
title_short Integrated Analysis of the Roles of RNA Binding Proteins and Their Prognostic Value in Clear Cell Renal Cell Carcinoma
title_full Integrated Analysis of the Roles of RNA Binding Proteins and Their Prognostic Value in Clear Cell Renal Cell Carcinoma
title_fullStr Integrated Analysis of the Roles of RNA Binding Proteins and Their Prognostic Value in Clear Cell Renal Cell Carcinoma
title_full_unstemmed Integrated Analysis of the Roles of RNA Binding Proteins and Their Prognostic Value in Clear Cell Renal Cell Carcinoma
title_sort integrated analysis of the roles of rna binding proteins and their prognostic value in clear cell renal cell carcinoma
publisher Hindawi Limited
series Journal of Healthcare Engineering
issn 2040-2309
publishDate 2021-01-01
description 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.
url http://dx.doi.org/10.1155/2021/5568411
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