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Bioinformatics analysis of inflammation and oncology in pulmonary lymphangioleiomyomatosis

This study investigates the molecular markers and biological pathways of pulmonary lymphangioleiomyomatosis. We analyzed 2 gene expression profiles in the gene expression omnibus Gene Expression Omnibus database for normal lung tissue and lymphangioleiomyomatosis and identified differential expresse...

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Detalles Bibliográficos
Autores principales: Su, Wanchun, Zhao, Zimin, Liu, Xin, Xin, Jianfeng, Xia, Song, Shen, Wenbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509179/
https://www.ncbi.nlm.nih.gov/pubmed/36197266
http://dx.doi.org/10.1097/MD.0000000000030593
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author Su, Wanchun
Zhao, Zimin
Liu, Xin
Xin, Jianfeng
Xia, Song
Shen, Wenbin
author_facet Su, Wanchun
Zhao, Zimin
Liu, Xin
Xin, Jianfeng
Xia, Song
Shen, Wenbin
author_sort Su, Wanchun
collection PubMed
description This study investigates the molecular markers and biological pathways of pulmonary lymphangioleiomyomatosis. We analyzed 2 gene expression profiles in the gene expression omnibus Gene Expression Omnibus database for normal lung tissue and lymphangioleiomyomatosis and identified differential expressed genes in pulmonary lymphangioleiomyomatosis. Ninety-one differentially expressed genes were identified, including 36 upregulated genes and 55 downregulated genes. Hub genes and pathogenic pathways associated with disease development were subsequently identified by enrichment analysis and protein–protein interaction network. Analysis showed that differential expressed genes are mainly involved in the biological behavior of tumor cell proliferation and invasion as well as the inflammatory response. We have identified 10 hub genes in the protein–protein interaction network. Hub genes play an important role in the proliferation and inflammatory response involved in tumor cell proliferation. This study deepens the understanding of lymphangioleiomyomatosis disease and provides a biological basis for further clinical diagnosis and treatment.
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spelling pubmed-95091792022-09-26 Bioinformatics analysis of inflammation and oncology in pulmonary lymphangioleiomyomatosis Su, Wanchun Zhao, Zimin Liu, Xin Xin, Jianfeng Xia, Song Shen, Wenbin Medicine (Baltimore) Research Article This study investigates the molecular markers and biological pathways of pulmonary lymphangioleiomyomatosis. We analyzed 2 gene expression profiles in the gene expression omnibus Gene Expression Omnibus database for normal lung tissue and lymphangioleiomyomatosis and identified differential expressed genes in pulmonary lymphangioleiomyomatosis. Ninety-one differentially expressed genes were identified, including 36 upregulated genes and 55 downregulated genes. Hub genes and pathogenic pathways associated with disease development were subsequently identified by enrichment analysis and protein–protein interaction network. Analysis showed that differential expressed genes are mainly involved in the biological behavior of tumor cell proliferation and invasion as well as the inflammatory response. We have identified 10 hub genes in the protein–protein interaction network. Hub genes play an important role in the proliferation and inflammatory response involved in tumor cell proliferation. This study deepens the understanding of lymphangioleiomyomatosis disease and provides a biological basis for further clinical diagnosis and treatment. Lippincott Williams & Wilkins 2022-09-23 /pmc/articles/PMC9509179/ /pubmed/36197266 http://dx.doi.org/10.1097/MD.0000000000030593 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle Research Article
Su, Wanchun
Zhao, Zimin
Liu, Xin
Xin, Jianfeng
Xia, Song
Shen, Wenbin
Bioinformatics analysis of inflammation and oncology in pulmonary lymphangioleiomyomatosis
title Bioinformatics analysis of inflammation and oncology in pulmonary lymphangioleiomyomatosis
title_full Bioinformatics analysis of inflammation and oncology in pulmonary lymphangioleiomyomatosis
title_fullStr Bioinformatics analysis of inflammation and oncology in pulmonary lymphangioleiomyomatosis
title_full_unstemmed Bioinformatics analysis of inflammation and oncology in pulmonary lymphangioleiomyomatosis
title_short Bioinformatics analysis of inflammation and oncology in pulmonary lymphangioleiomyomatosis
title_sort bioinformatics analysis of inflammation and oncology in pulmonary lymphangioleiomyomatosis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509179/
https://www.ncbi.nlm.nih.gov/pubmed/36197266
http://dx.doi.org/10.1097/MD.0000000000030593
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