Identifying New Contributors to Brain Metastasis in Lung Adenocarcinoma: A Transcriptomic Meta-Analysis
Main Author: | |
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Publication Date: | 2023 |
Other Authors: | , , , , , , |
Format: | Article |
Language: | eng |
Source: | Repositório Institucional da UNESP |
Download full: | http://dx.doi.org/10.3390/cancers15184526 https://hdl.handle.net/11449/303975 |
Summary: | Lung tumors frequently metastasize to the brain. Brain metastasis (BM) is common in advanced cases, and a major cause of patient morbidity and mortality. The precise molecular mechanisms governing BM are still unclear, in part attributed to the rarity of BM specimens. In this work, we compile a unique transcriptomic dataset encompassing RNA-seq, microarray, and single-cell analyses from BM samples obtained from patients with lung adenocarcinoma (LUAD). By integrating this comprehensive dataset, we aimed to enhance understanding of the molecular landscape of BM, thereby facilitating the identification of novel and efficient treatment strategies. We identified 102 genes with significantly deregulated expression levels in BM tissues, and discovered transcriptional alterations affecting the key driver ‘hub’ genes CD69 (a type II C-lectin receptor) and GZMA (Granzyme A), indicating an important role of the immune system in the development of BM from primary LUAD. Our study demonstrated a BM-specific gene expression pattern and revealed the presence of dendritic cells and neutrophils in BM, suggesting an immunosuppressive tumor microenvironment. These findings highlight key drivers of LUAD-BM that may yield therapeutic targets to improve patient outcomes. |
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Identifying New Contributors to Brain Metastasis in Lung Adenocarcinoma: A Transcriptomic Meta-Analysisbioinformaticsbrain metastasisimmune celllung cancertumor microenvironment (TME)Lung tumors frequently metastasize to the brain. Brain metastasis (BM) is common in advanced cases, and a major cause of patient morbidity and mortality. The precise molecular mechanisms governing BM are still unclear, in part attributed to the rarity of BM specimens. In this work, we compile a unique transcriptomic dataset encompassing RNA-seq, microarray, and single-cell analyses from BM samples obtained from patients with lung adenocarcinoma (LUAD). By integrating this comprehensive dataset, we aimed to enhance understanding of the molecular landscape of BM, thereby facilitating the identification of novel and efficient treatment strategies. We identified 102 genes with significantly deregulated expression levels in BM tissues, and discovered transcriptional alterations affecting the key driver ‘hub’ genes CD69 (a type II C-lectin receptor) and GZMA (Granzyme A), indicating an important role of the immune system in the development of BM from primary LUAD. Our study demonstrated a BM-specific gene expression pattern and revealed the presence of dendritic cells and neutrophils in BM, suggesting an immunosuppressive tumor microenvironment. These findings highlight key drivers of LUAD-BM that may yield therapeutic targets to improve patient outcomes.Molecular Oncology Laboratory Experimental Research Unit (UNIPEX) Faculty of Medicine São Paulo State University (UNESP), SPBritish Columbia Cancer Research InstituteBritish Columbia Children’s Hospital Research InstituteDepartment of Structural and Functional Biology Institute of Biosciences São Paulo State University (UNESP), SPDepartment of Life Science Aberystwyth UniversityDepartment of Surgery and Orthopedics Faculty of Medicine São Paulo State University (UNESP), SPMolecular Oncology Laboratory Experimental Research Unit (UNIPEX) Faculty of Medicine São Paulo State University (UNESP), SPDepartment of Structural and Functional Biology Institute of Biosciences São Paulo State University (UNESP), SPDepartment of Surgery and Orthopedics Faculty of Medicine São Paulo State University (UNESP), SPUniversidade Estadual Paulista (UNESP)British Columbia Cancer Research InstituteBritish Columbia Children’s Hospital Research InstituteAberystwyth UniversitySouza, Vanessa G. P. [UNESP]Forder, AislingTelkar, NikitaStewart, Greg L.Carvalho, Robson F. [UNESP]Mur, Luis A. J.Lam, Wan L.Reis, Patricia P. [UNESP]2025-04-29T19:33:32Z2023-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/cancers15184526Cancers, v. 15, n. 18, 2023.2072-6694https://hdl.handle.net/11449/30397510.3390/cancers151845262-s2.0-85172796395Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCancersinfo:eu-repo/semantics/openAccess2025-04-30T14:24:31Zoai:repositorio.unesp.br:11449/303975Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462025-04-30T14:24:31Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Identifying New Contributors to Brain Metastasis in Lung Adenocarcinoma: A Transcriptomic Meta-Analysis |
title |
Identifying New Contributors to Brain Metastasis in Lung Adenocarcinoma: A Transcriptomic Meta-Analysis |
spellingShingle |
Identifying New Contributors to Brain Metastasis in Lung Adenocarcinoma: A Transcriptomic Meta-Analysis Souza, Vanessa G. P. [UNESP] bioinformatics brain metastasis immune cell lung cancer tumor microenvironment (TME) |
title_short |
Identifying New Contributors to Brain Metastasis in Lung Adenocarcinoma: A Transcriptomic Meta-Analysis |
title_full |
Identifying New Contributors to Brain Metastasis in Lung Adenocarcinoma: A Transcriptomic Meta-Analysis |
title_fullStr |
Identifying New Contributors to Brain Metastasis in Lung Adenocarcinoma: A Transcriptomic Meta-Analysis |
title_full_unstemmed |
Identifying New Contributors to Brain Metastasis in Lung Adenocarcinoma: A Transcriptomic Meta-Analysis |
title_sort |
Identifying New Contributors to Brain Metastasis in Lung Adenocarcinoma: A Transcriptomic Meta-Analysis |
author |
Souza, Vanessa G. P. [UNESP] |
author_facet |
Souza, Vanessa G. P. [UNESP] Forder, Aisling Telkar, Nikita Stewart, Greg L. Carvalho, Robson F. [UNESP] Mur, Luis A. J. Lam, Wan L. Reis, Patricia P. [UNESP] |
author_role |
author |
author2 |
Forder, Aisling Telkar, Nikita Stewart, Greg L. Carvalho, Robson F. [UNESP] Mur, Luis A. J. Lam, Wan L. Reis, Patricia P. [UNESP] |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) British Columbia Cancer Research Institute British Columbia Children’s Hospital Research Institute Aberystwyth University |
dc.contributor.author.fl_str_mv |
Souza, Vanessa G. P. [UNESP] Forder, Aisling Telkar, Nikita Stewart, Greg L. Carvalho, Robson F. [UNESP] Mur, Luis A. J. Lam, Wan L. Reis, Patricia P. [UNESP] |
dc.subject.por.fl_str_mv |
bioinformatics brain metastasis immune cell lung cancer tumor microenvironment (TME) |
topic |
bioinformatics brain metastasis immune cell lung cancer tumor microenvironment (TME) |
description |
Lung tumors frequently metastasize to the brain. Brain metastasis (BM) is common in advanced cases, and a major cause of patient morbidity and mortality. The precise molecular mechanisms governing BM are still unclear, in part attributed to the rarity of BM specimens. In this work, we compile a unique transcriptomic dataset encompassing RNA-seq, microarray, and single-cell analyses from BM samples obtained from patients with lung adenocarcinoma (LUAD). By integrating this comprehensive dataset, we aimed to enhance understanding of the molecular landscape of BM, thereby facilitating the identification of novel and efficient treatment strategies. We identified 102 genes with significantly deregulated expression levels in BM tissues, and discovered transcriptional alterations affecting the key driver ‘hub’ genes CD69 (a type II C-lectin receptor) and GZMA (Granzyme A), indicating an important role of the immune system in the development of BM from primary LUAD. Our study demonstrated a BM-specific gene expression pattern and revealed the presence of dendritic cells and neutrophils in BM, suggesting an immunosuppressive tumor microenvironment. These findings highlight key drivers of LUAD-BM that may yield therapeutic targets to improve patient outcomes. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-09-01 2025-04-29T19:33:32Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3390/cancers15184526 Cancers, v. 15, n. 18, 2023. 2072-6694 https://hdl.handle.net/11449/303975 10.3390/cancers15184526 2-s2.0-85172796395 |
url |
http://dx.doi.org/10.3390/cancers15184526 https://hdl.handle.net/11449/303975 |
identifier_str_mv |
Cancers, v. 15, n. 18, 2023. 2072-6694 10.3390/cancers15184526 2-s2.0-85172796395 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Cancers |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
repositoriounesp@unesp.br |
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1834482815463325696 |