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...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-08-01
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Series: | Frontiers in Genetics |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.900864/full |
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author | Yuan Zeng Lingli Zhou Dexin Jia Bo Pan Xiaomei Li Yan Yu |
author_facet | Yuan Zeng Lingli Zhou Dexin Jia Bo Pan Xiaomei Li Yan Yu |
author_sort | Yuan Zeng |
collection | DOAJ |
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. |
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issn | 1664-8021 |
language | English |
last_indexed | 2024-04-14T03:02:27Z |
publishDate | 2022-08-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Genetics |
spelling | doaj.art-473823d2946641f09b866ec4b5f417b52022-12-22T02:15:51ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-08-011310.3389/fgene.2022.900864900864Comprehensive analysis for clarifying transcriptomics landscapes of spread through air spaces in lung adenocarcinomaYuan Zeng0Lingli Zhou1Dexin Jia2Bo Pan3Xiaomei Li4Yan Yu5Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, ChinaDepartment of Respiratory Medicine, Suizhou Hospital, Hubei University of Medicine, Hubei, ChinaDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, ChinaDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, ChinaDepartment of Pathology, Harbin Medical University Cancer Hospital, Harbin, ChinaDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, ChinaPatients 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.https://www.frontiersin.org/articles/10.3389/fgene.2022.900864/fulllung adenocarcinomaspread through air spacesdifferential expression analysisprotein–protein interactionenrichment analysisRNA-seq |
spellingShingle | Yuan Zeng Lingli Zhou Dexin Jia Bo Pan Xiaomei Li Yan Yu Comprehensive analysis for clarifying transcriptomics landscapes of spread through air spaces in lung adenocarcinoma Frontiers in Genetics lung adenocarcinoma spread through air spaces differential expression analysis protein–protein interaction enrichment analysis RNA-seq |
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 | lung adenocarcinoma spread through air spaces differential expression analysis protein–protein interaction enrichment analysis RNA-seq |
url | https://www.frontiersin.org/articles/10.3389/fgene.2022.900864/full |
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