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Identification of Hub Genes to Regulate Breast Cancer Spinal Metastases by Bioinformatics Analyses

Breast cancer (BC) had been one of the deadliest types of cancers in women worldwide. More than 65% of advanced-stage BC patients were identified to have bone metastasis. However, the molecular mechanisms involved in the BC spinal metastases remained largely unclear. This study screened dysregulated...

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Autores principales: He, Yongxiong, Cao, Yongfei, Wang, Xiaolei, Jisiguleng, Wu, Tao, Mingkai, Liu, Jianfeng, Wang, Fei, Chao, Lemeng, Wang, Wenjun, Li, Pengfei, Fu, Haiping, Xing, Wei, Zhu, Zhibo, Huan, Yanqiang, Yuan, Hongwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8133842/
https://www.ncbi.nlm.nih.gov/pubmed/34055036
http://dx.doi.org/10.1155/2021/5548918
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author He, Yongxiong
Cao, Yongfei
Wang, Xiaolei
Jisiguleng, Wu
Tao, Mingkai
Liu, Jianfeng
Wang, Fei
Chao, Lemeng
Wang, Wenjun
Li, Pengfei
Fu, Haiping
Xing, Wei
Zhu, Zhibo
Huan, Yanqiang
Yuan, Hongwei
author_facet He, Yongxiong
Cao, Yongfei
Wang, Xiaolei
Jisiguleng, Wu
Tao, Mingkai
Liu, Jianfeng
Wang, Fei
Chao, Lemeng
Wang, Wenjun
Li, Pengfei
Fu, Haiping
Xing, Wei
Zhu, Zhibo
Huan, Yanqiang
Yuan, Hongwei
author_sort He, Yongxiong
collection PubMed
description Breast cancer (BC) had been one of the deadliest types of cancers in women worldwide. More than 65% of advanced-stage BC patients were identified to have bone metastasis. However, the molecular mechanisms involved in the BC spinal metastases remained largely unclear. This study screened dysregulated genes in the progression of BC spinal metastases by analyzing GSE22358. Moreover, we constructed PPI networks to identify key regulators in this progression. Bioinformatics analysis showed that these key regulators were involved in regulating the metabolic process, cell proliferation, Toll-like receptor and RIG-I-like receptor signaling, and mRNA surveillance. Furthermore, our analysis revealed that key regulators, including C1QB, CEP55, HIST1H2BO, IFI6, KIAA0101, PBK, SPAG5, SPP1, DCN, FZD7, KRT5, and TGFBR3, were correlated to the OS time in BC patients. In addition, we analyzed TCGA database to further confirm the expression levels of these hub genes in breast cancer. Our results showed that these regulators were significantly differentially expressed in breast cancer, which were consistent with GSE22358 dataset analysis. Furthermore, our analysis demonstrated that CEP55 was remarkably upregulated in the advanced stage of breast cancer compared to the stage I breast cancer sample and was significantly upregulated in triple-negative breast cancers (TNBC) compared to other types of breast cancers, including luminal and HER2-positive cancers, demonstrating CEP55 may have a regulatory role in TNBC. Finally, our results showed that CEP55 was the most highly expressed in Basal-like 1 TNBC and Basal-like 2 TNBC samples but the most lowly expressed in mesenchymal stem-like TNBC samples. Although more studies are still needed to understand the functions of key regulators in BC, this study provides useful information to understand the mechanisms underlying BC spinal metastases.
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spelling pubmed-81338422021-05-27 Identification of Hub Genes to Regulate Breast Cancer Spinal Metastases by Bioinformatics Analyses He, Yongxiong Cao, Yongfei Wang, Xiaolei Jisiguleng, Wu Tao, Mingkai Liu, Jianfeng Wang, Fei Chao, Lemeng Wang, Wenjun Li, Pengfei Fu, Haiping Xing, Wei Zhu, Zhibo Huan, Yanqiang Yuan, Hongwei Comput Math Methods Med Research Article Breast cancer (BC) had been one of the deadliest types of cancers in women worldwide. More than 65% of advanced-stage BC patients were identified to have bone metastasis. However, the molecular mechanisms involved in the BC spinal metastases remained largely unclear. This study screened dysregulated genes in the progression of BC spinal metastases by analyzing GSE22358. Moreover, we constructed PPI networks to identify key regulators in this progression. Bioinformatics analysis showed that these key regulators were involved in regulating the metabolic process, cell proliferation, Toll-like receptor and RIG-I-like receptor signaling, and mRNA surveillance. Furthermore, our analysis revealed that key regulators, including C1QB, CEP55, HIST1H2BO, IFI6, KIAA0101, PBK, SPAG5, SPP1, DCN, FZD7, KRT5, and TGFBR3, were correlated to the OS time in BC patients. In addition, we analyzed TCGA database to further confirm the expression levels of these hub genes in breast cancer. Our results showed that these regulators were significantly differentially expressed in breast cancer, which were consistent with GSE22358 dataset analysis. Furthermore, our analysis demonstrated that CEP55 was remarkably upregulated in the advanced stage of breast cancer compared to the stage I breast cancer sample and was significantly upregulated in triple-negative breast cancers (TNBC) compared to other types of breast cancers, including luminal and HER2-positive cancers, demonstrating CEP55 may have a regulatory role in TNBC. Finally, our results showed that CEP55 was the most highly expressed in Basal-like 1 TNBC and Basal-like 2 TNBC samples but the most lowly expressed in mesenchymal stem-like TNBC samples. Although more studies are still needed to understand the functions of key regulators in BC, this study provides useful information to understand the mechanisms underlying BC spinal metastases. Hindawi 2021-05-12 /pmc/articles/PMC8133842/ /pubmed/34055036 http://dx.doi.org/10.1155/2021/5548918 Text en Copyright © 2021 Yongxiong He et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
He, Yongxiong
Cao, Yongfei
Wang, Xiaolei
Jisiguleng, Wu
Tao, Mingkai
Liu, Jianfeng
Wang, Fei
Chao, Lemeng
Wang, Wenjun
Li, Pengfei
Fu, Haiping
Xing, Wei
Zhu, Zhibo
Huan, Yanqiang
Yuan, Hongwei
Identification of Hub Genes to Regulate Breast Cancer Spinal Metastases by Bioinformatics Analyses
title Identification of Hub Genes to Regulate Breast Cancer Spinal Metastases by Bioinformatics Analyses
title_full Identification of Hub Genes to Regulate Breast Cancer Spinal Metastases by Bioinformatics Analyses
title_fullStr Identification of Hub Genes to Regulate Breast Cancer Spinal Metastases by Bioinformatics Analyses
title_full_unstemmed Identification of Hub Genes to Regulate Breast Cancer Spinal Metastases by Bioinformatics Analyses
title_short Identification of Hub Genes to Regulate Breast Cancer Spinal Metastases by Bioinformatics Analyses
title_sort identification of hub genes to regulate breast cancer spinal metastases by bioinformatics analyses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8133842/
https://www.ncbi.nlm.nih.gov/pubmed/34055036
http://dx.doi.org/10.1155/2021/5548918
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