Five-mRNA Signature for the Prognosis of Breast Cancer Based on the ceRNA Network

Background. The purpose of this study was to investigate the regulatory mechanisms of ceRNAs in breast cancer (BC) and construct a new five-mRNA prognostic signature. Methods. The ceRNA network was constructed by different RNAs screened by the edgeR package. The BC prognostic signature was built bas...

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Main Authors: Wenjie Shi, Daojun Hu, Sen Lin, Rui Zhuo
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2020/9081852
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spelling doaj-5dce7a662c4c46df919a8da0272c8a7b2020-11-25T03:06:33ZengHindawi LimitedBioMed Research International2314-61332314-61412020-01-01202010.1155/2020/90818529081852Five-mRNA Signature for the Prognosis of Breast Cancer Based on the ceRNA NetworkWenjie Shi0Daojun Hu1Sen Lin2Rui Zhuo3Department of Breast Surgery, Guilin TCM Hospital of China, Affiliated to Guang Xi University of Chinese Medicine, Guilin, 541000 Guangxi, ChinaDepartment of Clinical Laboratory, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Chongming Branch, Shanghai 202150, ChinaDepartment of Breast Surgery, Guilin TCM Hospital of China, Affiliated to Guang Xi University of Chinese Medicine, Guilin, 541000 Guangxi, ChinaDepartment of Breast Surgery, Guilin TCM Hospital of China, Affiliated to Guang Xi University of Chinese Medicine, Guilin, 541000 Guangxi, ChinaBackground. The purpose of this study was to investigate the regulatory mechanisms of ceRNAs in breast cancer (BC) and construct a new five-mRNA prognostic signature. Methods. The ceRNA network was constructed by different RNAs screened by the edgeR package. The BC prognostic signature was built based on the Cox regression analysis. The log-rank method was used to analyse the survival rate of BC patients with different risk scores. The expression of the 5 genes was verified by the GSE81540 dataset and CPTAC database. Results. A total of 41 BC-adjacent tissues and 473 BC tissues were included in this study. A total of 2,966 differentially expressed lncRNAs, 5,370 differentially expressed mRNAs, and 359 differentially expressed miRNAs were screened. The ceRNA network was constructed using 13 lncRNAs, 267 mRNAs, and 35 miRNAs. Kaplan-Meier (K-M) methods showed that two lncRNAs (AC037487.1 and MIR22HG) are related to prognosis. Five mRNAs (VPS28, COL17A1, HSF1, PUF60, and SMOC1) in the ceRNA network were used to establish a prognostic signature. Survival analysis showed that the prognosis of patients in the low-risk group was significantly better than that in the high-risk group (p=0.0022). ROC analysis showed that this signature has a good diagnostic ability (AUC=0.77). Compared with clinical features, this signature was also an independent prognostic factor (HR: 1.206, 95% CI 1.108−1.311; p<0.001). External verification results showed that the expression of the 5 mRNAs differed between the normal and tumour groups at the chip and protein levels (p<0.001). Conclusions. These ceRNAs may play a key role in the development of BC, and the new 5-mRNA prognostic signature can improve the prediction of survival for BC patients.http://dx.doi.org/10.1155/2020/9081852
collection DOAJ
language English
format Article
sources DOAJ
author Wenjie Shi
Daojun Hu
Sen Lin
Rui Zhuo
spellingShingle Wenjie Shi
Daojun Hu
Sen Lin
Rui Zhuo
Five-mRNA Signature for the Prognosis of Breast Cancer Based on the ceRNA Network
BioMed Research International
author_facet Wenjie Shi
Daojun Hu
Sen Lin
Rui Zhuo
author_sort Wenjie Shi
title Five-mRNA Signature for the Prognosis of Breast Cancer Based on the ceRNA Network
title_short Five-mRNA Signature for the Prognosis of Breast Cancer Based on the ceRNA Network
title_full Five-mRNA Signature for the Prognosis of Breast Cancer Based on the ceRNA Network
title_fullStr Five-mRNA Signature for the Prognosis of Breast Cancer Based on the ceRNA Network
title_full_unstemmed Five-mRNA Signature for the Prognosis of Breast Cancer Based on the ceRNA Network
title_sort five-mrna signature for the prognosis of breast cancer based on the cerna network
publisher Hindawi Limited
series BioMed Research International
issn 2314-6133
2314-6141
publishDate 2020-01-01
description Background. The purpose of this study was to investigate the regulatory mechanisms of ceRNAs in breast cancer (BC) and construct a new five-mRNA prognostic signature. Methods. The ceRNA network was constructed by different RNAs screened by the edgeR package. The BC prognostic signature was built based on the Cox regression analysis. The log-rank method was used to analyse the survival rate of BC patients with different risk scores. The expression of the 5 genes was verified by the GSE81540 dataset and CPTAC database. Results. A total of 41 BC-adjacent tissues and 473 BC tissues were included in this study. A total of 2,966 differentially expressed lncRNAs, 5,370 differentially expressed mRNAs, and 359 differentially expressed miRNAs were screened. The ceRNA network was constructed using 13 lncRNAs, 267 mRNAs, and 35 miRNAs. Kaplan-Meier (K-M) methods showed that two lncRNAs (AC037487.1 and MIR22HG) are related to prognosis. Five mRNAs (VPS28, COL17A1, HSF1, PUF60, and SMOC1) in the ceRNA network were used to establish a prognostic signature. Survival analysis showed that the prognosis of patients in the low-risk group was significantly better than that in the high-risk group (p=0.0022). ROC analysis showed that this signature has a good diagnostic ability (AUC=0.77). Compared with clinical features, this signature was also an independent prognostic factor (HR: 1.206, 95% CI 1.108−1.311; p<0.001). External verification results showed that the expression of the 5 mRNAs differed between the normal and tumour groups at the chip and protein levels (p<0.001). Conclusions. These ceRNAs may play a key role in the development of BC, and the new 5-mRNA prognostic signature can improve the prediction of survival for BC patients.
url http://dx.doi.org/10.1155/2020/9081852
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