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Identification of the molecular relationship between intravenous leiomyomatosis and uterine myoma using RNA sequencing

The purpose of this study was to explore the potential relationship between intravenous leiomyomatosis (IVL) and uterine myoma (UM) at the molecular level. RNA-sequencing was performed on IVL tumours, UM tumours, and adjacent normal uterine muscle. We compared the gene expression levels between IVL...

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Autores principales: Zhang, Xu, Wu, Liangcai, Xu, Rongjian, Zhu, Chengpei, Ma, Guotao, Zhang, Chaoji, Liu, Xingrong, Zhao, Haitao, Miao, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6363745/
https://www.ncbi.nlm.nih.gov/pubmed/30723247
http://dx.doi.org/10.1038/s41598-018-37452-3
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author Zhang, Xu
Wu, Liangcai
Xu, Rongjian
Zhu, Chengpei
Ma, Guotao
Zhang, Chaoji
Liu, Xingrong
Zhao, Haitao
Miao, Qi
author_facet Zhang, Xu
Wu, Liangcai
Xu, Rongjian
Zhu, Chengpei
Ma, Guotao
Zhang, Chaoji
Liu, Xingrong
Zhao, Haitao
Miao, Qi
author_sort Zhang, Xu
collection PubMed
description The purpose of this study was to explore the potential relationship between intravenous leiomyomatosis (IVL) and uterine myoma (UM) at the molecular level. RNA-sequencing was performed on IVL tumours, UM tumours, and adjacent normal uterine muscle. We compared the gene expression levels between IVL and normal uterine muscle, UM and normal uterine muscle, to identify differentially expressed genes (DEGs). Then we used Gene Ontology Enrichment Analysis to determine the functions of the DEGs and performed specimen cluster analysis. We obtained 98 DEGs between IVL and adjacent normal uterine muscle, and 61 DEGs between UM and adjacent normal uterine muscle. Functional enrichment of both IVL and UM DEGs showed that they are associated with hormone stimulus, extracellular matrix, and cell adhesion. Unsupervised clustering analysis showed that IVL and UM could not be separated completely. Among these dysregulated genes, we found that HOXA13 showed a distinct dysregulated status between IVL and UM. HOXA13 may therefore serves as a biomarker to distinguish IVL and UM. Our results showed that IVL and UM may have similar dysregulated gene networks. They may be closely related, and HOXA13 may serves as a biomarker to distinguish between IVL and UM.
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spelling pubmed-63637452019-02-07 Identification of the molecular relationship between intravenous leiomyomatosis and uterine myoma using RNA sequencing Zhang, Xu Wu, Liangcai Xu, Rongjian Zhu, Chengpei Ma, Guotao Zhang, Chaoji Liu, Xingrong Zhao, Haitao Miao, Qi Sci Rep Article The purpose of this study was to explore the potential relationship between intravenous leiomyomatosis (IVL) and uterine myoma (UM) at the molecular level. RNA-sequencing was performed on IVL tumours, UM tumours, and adjacent normal uterine muscle. We compared the gene expression levels between IVL and normal uterine muscle, UM and normal uterine muscle, to identify differentially expressed genes (DEGs). Then we used Gene Ontology Enrichment Analysis to determine the functions of the DEGs and performed specimen cluster analysis. We obtained 98 DEGs between IVL and adjacent normal uterine muscle, and 61 DEGs between UM and adjacent normal uterine muscle. Functional enrichment of both IVL and UM DEGs showed that they are associated with hormone stimulus, extracellular matrix, and cell adhesion. Unsupervised clustering analysis showed that IVL and UM could not be separated completely. Among these dysregulated genes, we found that HOXA13 showed a distinct dysregulated status between IVL and UM. HOXA13 may therefore serves as a biomarker to distinguish IVL and UM. Our results showed that IVL and UM may have similar dysregulated gene networks. They may be closely related, and HOXA13 may serves as a biomarker to distinguish between IVL and UM. Nature Publishing Group UK 2019-02-05 /pmc/articles/PMC6363745/ /pubmed/30723247 http://dx.doi.org/10.1038/s41598-018-37452-3 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhang, Xu
Wu, Liangcai
Xu, Rongjian
Zhu, Chengpei
Ma, Guotao
Zhang, Chaoji
Liu, Xingrong
Zhao, Haitao
Miao, Qi
Identification of the molecular relationship between intravenous leiomyomatosis and uterine myoma using RNA sequencing
title Identification of the molecular relationship between intravenous leiomyomatosis and uterine myoma using RNA sequencing
title_full Identification of the molecular relationship between intravenous leiomyomatosis and uterine myoma using RNA sequencing
title_fullStr Identification of the molecular relationship between intravenous leiomyomatosis and uterine myoma using RNA sequencing
title_full_unstemmed Identification of the molecular relationship between intravenous leiomyomatosis and uterine myoma using RNA sequencing
title_short Identification of the molecular relationship between intravenous leiomyomatosis and uterine myoma using RNA sequencing
title_sort identification of the molecular relationship between intravenous leiomyomatosis and uterine myoma using rna sequencing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6363745/
https://www.ncbi.nlm.nih.gov/pubmed/30723247
http://dx.doi.org/10.1038/s41598-018-37452-3
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