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Identification of novel potential biomarkers in infantile hemangioma via weighted gene co-expression network analysis
BACKGROUND: Infantile hemangioma (IH) is the most common benign tumor in children and is characterized by endothelial cells proliferation and angiogenesis. Some hub genes may play a critical role in angiogenesis. This study aimed to identify the hub genes and analyze their biological functions in IH...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9063075/ https://www.ncbi.nlm.nih.gov/pubmed/35501731 http://dx.doi.org/10.1186/s12887-022-03306-1 |
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author | Xie, Bin Zhou, Xiongming Qiu, Jiaxuan |
author_facet | Xie, Bin Zhou, Xiongming Qiu, Jiaxuan |
author_sort | Xie, Bin |
collection | PubMed |
description | BACKGROUND: Infantile hemangioma (IH) is the most common benign tumor in children and is characterized by endothelial cells proliferation and angiogenesis. Some hub genes may play a critical role in angiogenesis. This study aimed to identify the hub genes and analyze their biological functions in IH. METHODS: Differentially expressed genes (DEGs) in hemangioma tissues, regardless of different stages, were identified by microarray analysis. The hub genes were selected through integrated weighted gene co-expression network analysis (WGCNA) and protein–protein interaction (PPI) network. Subsequently, detailed bioinformatics analysis of the hub genes was performed by gene set enrichment analysis (GSEA). Finally, quantitative real-time polymerase chain reaction (qRT-PCR) analysis was conducted to validate the hub genes expression in hemangioma-derived endothelial cells (HemECs) and human umbilical vein endothelial cells (HUVECs). RESULTS: In total, 1115 DEGs were identified between the hemangiomas and normal samples, including 754 upregulated genes and 361 downregulated genes. Two co-expression modules were identified by WGCNA and green module eigengenes were highly correlated with hemangioma (correlation coefficient = 0.87). Using module membership (MM) > 0.8 and gene significance (GS) > 0.8 as the cut-off criteria, 108 candidate genes were selected and put into the PPI network, and three most correlated genes (APLN, APLNR, TMEM132A) were identified as the hub genes. GSEA predicted that the hub genes would regulate endothelial cell proliferation and angiogenesis. The differential expression of these genes was validated by qRT-PCR. CONCLUSIONS: This research suggested that the identified hub genes may be associated with the angiogenesis of IH. These genes may improve our understanding of the mechanism of IH and represent potential anti-angiogenesis therapeutic targets for IH. |
format | Online Article Text |
id | pubmed-9063075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-90630752022-05-04 Identification of novel potential biomarkers in infantile hemangioma via weighted gene co-expression network analysis Xie, Bin Zhou, Xiongming Qiu, Jiaxuan BMC Pediatr Research BACKGROUND: Infantile hemangioma (IH) is the most common benign tumor in children and is characterized by endothelial cells proliferation and angiogenesis. Some hub genes may play a critical role in angiogenesis. This study aimed to identify the hub genes and analyze their biological functions in IH. METHODS: Differentially expressed genes (DEGs) in hemangioma tissues, regardless of different stages, were identified by microarray analysis. The hub genes were selected through integrated weighted gene co-expression network analysis (WGCNA) and protein–protein interaction (PPI) network. Subsequently, detailed bioinformatics analysis of the hub genes was performed by gene set enrichment analysis (GSEA). Finally, quantitative real-time polymerase chain reaction (qRT-PCR) analysis was conducted to validate the hub genes expression in hemangioma-derived endothelial cells (HemECs) and human umbilical vein endothelial cells (HUVECs). RESULTS: In total, 1115 DEGs were identified between the hemangiomas and normal samples, including 754 upregulated genes and 361 downregulated genes. Two co-expression modules were identified by WGCNA and green module eigengenes were highly correlated with hemangioma (correlation coefficient = 0.87). Using module membership (MM) > 0.8 and gene significance (GS) > 0.8 as the cut-off criteria, 108 candidate genes were selected and put into the PPI network, and three most correlated genes (APLN, APLNR, TMEM132A) were identified as the hub genes. GSEA predicted that the hub genes would regulate endothelial cell proliferation and angiogenesis. The differential expression of these genes was validated by qRT-PCR. CONCLUSIONS: This research suggested that the identified hub genes may be associated with the angiogenesis of IH. These genes may improve our understanding of the mechanism of IH and represent potential anti-angiogenesis therapeutic targets for IH. BioMed Central 2022-05-01 /pmc/articles/PMC9063075/ /pubmed/35501731 http://dx.doi.org/10.1186/s12887-022-03306-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Xie, Bin Zhou, Xiongming Qiu, Jiaxuan Identification of novel potential biomarkers in infantile hemangioma via weighted gene co-expression network analysis |
title | Identification of novel potential biomarkers in infantile hemangioma via weighted gene co-expression network analysis |
title_full | Identification of novel potential biomarkers in infantile hemangioma via weighted gene co-expression network analysis |
title_fullStr | Identification of novel potential biomarkers in infantile hemangioma via weighted gene co-expression network analysis |
title_full_unstemmed | Identification of novel potential biomarkers in infantile hemangioma via weighted gene co-expression network analysis |
title_short | Identification of novel potential biomarkers in infantile hemangioma via weighted gene co-expression network analysis |
title_sort | identification of novel potential biomarkers in infantile hemangioma via weighted gene co-expression network analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9063075/ https://www.ncbi.nlm.nih.gov/pubmed/35501731 http://dx.doi.org/10.1186/s12887-022-03306-1 |
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