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Identification of five hub genes as monitoring biomarkers for breast cancer metastasis in silico

BACKGROUND: Breast cancer is one of the most common endocrine cancers among females worldwide. Distant metastasis of breast cancer is causing an increasing number of breast cancer-related deaths. However, the potential mechanisms of metastasis and candidate biomarkers remain to be further explored....

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Autores principales: Cai, Yun, Mei, Jie, Xiao, Zhuang, Xu, Bujie, Jiang, Xiaozheng, Zhang, Yongjie, Zhu, Yichao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6588910/
https://www.ncbi.nlm.nih.gov/pubmed/31285741
http://dx.doi.org/10.1186/s41065-019-0096-6
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author Cai, Yun
Mei, Jie
Xiao, Zhuang
Xu, Bujie
Jiang, Xiaozheng
Zhang, Yongjie
Zhu, Yichao
author_facet Cai, Yun
Mei, Jie
Xiao, Zhuang
Xu, Bujie
Jiang, Xiaozheng
Zhang, Yongjie
Zhu, Yichao
author_sort Cai, Yun
collection PubMed
description BACKGROUND: Breast cancer is one of the most common endocrine cancers among females worldwide. Distant metastasis of breast cancer is causing an increasing number of breast cancer-related deaths. However, the potential mechanisms of metastasis and candidate biomarkers remain to be further explored. RESULTS: The gene expression profiles of GSE102484 were downloaded from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was used to screen for the most potent gene modules associated with the metastatic risk of breast cancer, and a total of 12 modules were identified based on the analysis. In the most significant module (R(2) = 0.68), 21 network hub genes (MM > 0.90) were retained for further analyses. Next, protein-protein interaction (PPI) networks were used to further explore the biomarkers with the most interactions in gene modules. According to the PPI networks, five hub genes (TPX2, KIF2C, CDCA8, BUB1B, and CCNA2) were identified as key genes associated with breast cancer progression. Furthermore, the prognostic value and differential expression of these genes were validated based on data from The Cancer Genome Atlas (TCGA) and Kaplan-Meier (KM) Plotter. Receiver operating characteristic (ROC) curve analysis revealed that the mRNA expression levels of these five hub genes showed excellent diagnostic value for breast cancer and adjacent tissues. Moreover, these five hub genes were significantly associated with worse distant metastasis-free survival (DMFS) in the patient cohort based on KM Plotter. CONCLUSION: Five hub genes (TPX2, KIF2C, CDCA8, BUB1B, and CCNA2) associated with the risk of distant metastasis were extracted for further research, which might be used as biomarkers to predict distant metastasis of breast cancer.
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spelling pubmed-65889102019-07-08 Identification of five hub genes as monitoring biomarkers for breast cancer metastasis in silico Cai, Yun Mei, Jie Xiao, Zhuang Xu, Bujie Jiang, Xiaozheng Zhang, Yongjie Zhu, Yichao Hereditas Research BACKGROUND: Breast cancer is one of the most common endocrine cancers among females worldwide. Distant metastasis of breast cancer is causing an increasing number of breast cancer-related deaths. However, the potential mechanisms of metastasis and candidate biomarkers remain to be further explored. RESULTS: The gene expression profiles of GSE102484 were downloaded from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was used to screen for the most potent gene modules associated with the metastatic risk of breast cancer, and a total of 12 modules were identified based on the analysis. In the most significant module (R(2) = 0.68), 21 network hub genes (MM > 0.90) were retained for further analyses. Next, protein-protein interaction (PPI) networks were used to further explore the biomarkers with the most interactions in gene modules. According to the PPI networks, five hub genes (TPX2, KIF2C, CDCA8, BUB1B, and CCNA2) were identified as key genes associated with breast cancer progression. Furthermore, the prognostic value and differential expression of these genes were validated based on data from The Cancer Genome Atlas (TCGA) and Kaplan-Meier (KM) Plotter. Receiver operating characteristic (ROC) curve analysis revealed that the mRNA expression levels of these five hub genes showed excellent diagnostic value for breast cancer and adjacent tissues. Moreover, these five hub genes were significantly associated with worse distant metastasis-free survival (DMFS) in the patient cohort based on KM Plotter. CONCLUSION: Five hub genes (TPX2, KIF2C, CDCA8, BUB1B, and CCNA2) associated with the risk of distant metastasis were extracted for further research, which might be used as biomarkers to predict distant metastasis of breast cancer. BioMed Central 2019-06-21 /pmc/articles/PMC6588910/ /pubmed/31285741 http://dx.doi.org/10.1186/s41065-019-0096-6 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Cai, Yun
Mei, Jie
Xiao, Zhuang
Xu, Bujie
Jiang, Xiaozheng
Zhang, Yongjie
Zhu, Yichao
Identification of five hub genes as monitoring biomarkers for breast cancer metastasis in silico
title Identification of five hub genes as monitoring biomarkers for breast cancer metastasis in silico
title_full Identification of five hub genes as monitoring biomarkers for breast cancer metastasis in silico
title_fullStr Identification of five hub genes as monitoring biomarkers for breast cancer metastasis in silico
title_full_unstemmed Identification of five hub genes as monitoring biomarkers for breast cancer metastasis in silico
title_short Identification of five hub genes as monitoring biomarkers for breast cancer metastasis in silico
title_sort identification of five hub genes as monitoring biomarkers for breast cancer metastasis in silico
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6588910/
https://www.ncbi.nlm.nih.gov/pubmed/31285741
http://dx.doi.org/10.1186/s41065-019-0096-6
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