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Comprehensive analysis for clarifying transcriptomics landscapes of spread through air spaces in lung adenocarcinoma
Patients with spread through air spaces (STAS) have worse postoperative survival and a higher recurrence rate in lung adenocarcinoma, even in the earliest phases of the disease. At present, the molecular pathogenesis of STAS is not well understood. Therefore, to illustrate the underlying pathogenic...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441605/ https://www.ncbi.nlm.nih.gov/pubmed/36072669 http://dx.doi.org/10.3389/fgene.2022.900864 |
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author | Zeng, Yuan Zhou, Lingli Jia, Dexin Pan, Bo Li, Xiaomei Yu, Yan |
author_facet | Zeng, Yuan Zhou, Lingli Jia, Dexin Pan, Bo Li, Xiaomei Yu, Yan |
author_sort | Zeng, Yuan |
collection | PubMed |
description | Patients with spread through air spaces (STAS) have worse postoperative survival and a higher recurrence rate in lung adenocarcinoma, even in the earliest phases of the disease. At present, the molecular pathogenesis of STAS is not well understood. Therefore, to illustrate the underlying pathogenic mechanism of STAS, we accomplished a comprehensive analysis of a microarray dataset of STAS. Differential expression analysis revealed 841 differentially expressed genes (DEGs) between STAS_positive and STAS_negative groups. Additionally, we acquired two hub genes associated with survival. Gene set variation analysis (GSVA) confirmed that the main differential signaling pathways between the two groups were hypoxia VHL targets, PKC, and pyrimidine metabolism pathways. Analysis of immune activity showed that the increased expression of MHC-class-Ⅰ was observed in the STAS_positive group. These findings provided novel insights for a better knowledge of pathogenic mechanisms and potential therapeutic markers for STAS treatment. |
format | Online Article Text |
id | pubmed-9441605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94416052022-09-06 Comprehensive analysis for clarifying transcriptomics landscapes of spread through air spaces in lung adenocarcinoma Zeng, Yuan Zhou, Lingli Jia, Dexin Pan, Bo Li, Xiaomei Yu, Yan Front Genet Genetics Patients with spread through air spaces (STAS) have worse postoperative survival and a higher recurrence rate in lung adenocarcinoma, even in the earliest phases of the disease. At present, the molecular pathogenesis of STAS is not well understood. Therefore, to illustrate the underlying pathogenic mechanism of STAS, we accomplished a comprehensive analysis of a microarray dataset of STAS. Differential expression analysis revealed 841 differentially expressed genes (DEGs) between STAS_positive and STAS_negative groups. Additionally, we acquired two hub genes associated with survival. Gene set variation analysis (GSVA) confirmed that the main differential signaling pathways between the two groups were hypoxia VHL targets, PKC, and pyrimidine metabolism pathways. Analysis of immune activity showed that the increased expression of MHC-class-Ⅰ was observed in the STAS_positive group. These findings provided novel insights for a better knowledge of pathogenic mechanisms and potential therapeutic markers for STAS treatment. Frontiers Media S.A. 2022-08-22 /pmc/articles/PMC9441605/ /pubmed/36072669 http://dx.doi.org/10.3389/fgene.2022.900864 Text en Copyright © 2022 Zeng, Zhou, Jia, Pan, Li and Yu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Zeng, Yuan Zhou, Lingli Jia, Dexin Pan, Bo Li, Xiaomei Yu, Yan Comprehensive analysis for clarifying transcriptomics landscapes of spread through air spaces in lung adenocarcinoma |
title | Comprehensive analysis for clarifying transcriptomics landscapes of spread through air spaces in lung adenocarcinoma |
title_full | Comprehensive analysis for clarifying transcriptomics landscapes of spread through air spaces in lung adenocarcinoma |
title_fullStr | Comprehensive analysis for clarifying transcriptomics landscapes of spread through air spaces in lung adenocarcinoma |
title_full_unstemmed | Comprehensive analysis for clarifying transcriptomics landscapes of spread through air spaces in lung adenocarcinoma |
title_short | Comprehensive analysis for clarifying transcriptomics landscapes of spread through air spaces in lung adenocarcinoma |
title_sort | comprehensive analysis for clarifying transcriptomics landscapes of spread through air spaces in lung adenocarcinoma |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9441605/ https://www.ncbi.nlm.nih.gov/pubmed/36072669 http://dx.doi.org/10.3389/fgene.2022.900864 |
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