Systems biology analysis of publicly available transcriptomic data reveals a critical link between AKR1B10 gene expression, smoking and occurrence of lung cancer

Detalhes bibliográficos
Autor(a) principal: Cubillos-Angulo, Juan Manuel
Data de Publicação: 2020
Outros Autores: Fukutani, Eduardo R., Cruz, Luís A. B., Arriaga Gutiérrez, María Belen, Lima, João Victor, Andrade, Bruno de Bezerril, Queiroz, Artur Trancoso Lopo de, Fukutani, Kiyoshi Ferreira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/40665
Resumo: Universidade Salvador, the Intramural Program of Fundac¸ão Oswaldo Cruz (FIOCRUZ), Fundac¸ão Jose´ Silveira and by the Brazilian National Council for Scientific and Technological Development (CNPq). K.F.F. received a fellowship from the Programa Nacional de Po´s-Doutorado, Coordenac¸ão de Aperfeic¸oamento de Pessoal de Nı´vel Superior (CAPES) (Finance Code 001). The work of B.B.A. was supported by grants from the NIH (U01AI115940, R01AI069923-08, R01AI20790-02). B.B.A. and A.T.L.Q. are senior investigators from CNPq. J. M. C.-A. was supported by the Organization of American States - Partnerships Program for Education and Training (OAS-PAEC) and his study was financed in part by the Coordenac¸ão de Aperfeic¸oamento de Pessoal de Nı´vel Superior - Brasil (CAPES) - Finance Code 001. M.B.A. received PhD fellowship from Fundac¸ão de Amparo à Pesquisa da Bahia (FAPESB) and FIOCRUZ. L.A.B.C. was supported by a research fellowship from CNPq.
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spelling Cubillos-Angulo, Juan ManuelFukutani, Eduardo R.Cruz, Luís A. B.Arriaga Gutiérrez, María BelenLima, João VictorAndrade, Bruno de BezerrilQueiroz, Artur Trancoso Lopo deFukutani, Kiyoshi Ferreira2020-04-07T12:33:12Z2020-04-07T12:33:12Z2020CUBILLOS-ANGULO, Juan Manuel et al. Systems biology analysis of publicly available transcriptomic data reveals a critical link between AKR1B10 gene expression, smoking and occurrence of lung cancer. Plos One, p. 1-15, Feb. 2020.1932-6203https://www.arca.fiocruz.br/handle/icict/4066510.1371/journal.pone.0222552Universidade Salvador, the Intramural Program of Fundac¸ão Oswaldo Cruz (FIOCRUZ), Fundac¸ão Jose´ Silveira and by the Brazilian National Council for Scientific and Technological Development (CNPq). K.F.F. received a fellowship from the Programa Nacional de Po´s-Doutorado, Coordenac¸ão de Aperfeic¸oamento de Pessoal de Nı´vel Superior (CAPES) (Finance Code 001). The work of B.B.A. was supported by grants from the NIH (U01AI115940, R01AI069923-08, R01AI20790-02). B.B.A. and A.T.L.Q. are senior investigators from CNPq. J. M. C.-A. was supported by the Organization of American States - Partnerships Program for Education and Training (OAS-PAEC) and his study was financed in part by the Coordenac¸ão de Aperfeic¸oamento de Pessoal de Nı´vel Superior - Brasil (CAPES) - Finance Code 001. M.B.A. received PhD fellowship from Fundac¸ão de Amparo à Pesquisa da Bahia (FAPESB) and FIOCRUZ. L.A.B.C. was supported by a research fellowship from CNPq.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Universidade Federal da Bahia. Faculdade de Medicina. Salvador, BA, Brasil / Multinational Organization Network Sponsoring Translational and Epidemiological Research. Initiative. Salvador, BA, Brasil.Universidade Federal da Bahia. Faculdade de Medicina. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Multinational Organization Network Sponsoring Translational and Epidemiological Research. Initiative. Salvador, BA, Brasil / Faculdade de Tecnologia e Ciências. Curso de Medicina, Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Universidade Federal da Bahia. Faculdade de Medicina. Salvador, BA, Brasil / Multinational Organization Network Sponsoring Translational and Epidemiological Research. Initiative. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Universidade Federal da Bahia. Faculdade de Medicina. Salvador, BA, Brasil / Multinational Organization Network Sponsoring Translational and Epidemiological Research. Initiative. Salvador, BA, Brasil / Faculdade de Tecnologia e Ciências. Curso de Medicina, Salvador, BA, Brasil / Universidade Salvador. Laureate Universities. Salvador, BA, Brasil / Escola Bahiana de Medicina e Saúde Pública. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Multinational Organization Network Sponsoring Translational and Epidemiological Research. Initiative. Salvador, BA, Brasil / Faculdade de Tecnologia e Ciências. Curso de Medicina, Salvador, BA, Brasil.Cigarette smoking is associated with an increased risk of developing respiratory diseases and various types of cancer. Early identification of such unfavorable outcomes in patients who smoke is critical for optimizing personalized medical care. Methods Here, we perform a comprehensive analysis using Systems Biology tools of publicly available data from a total of 6 transcriptomic studies, which examined different specimens of lung tissue and/or cells of smokers and nonsmokers to identify potential markers associated with lung cancer. Results Expression level of 22 genes was capable of classifying smokers from non-smokers. A machine learning algorithm revealed that AKR1B10 was the most informative gene among the 22 differentially expressed genes (DEGs) accounting for the classification of the clinical groups. AKR1B10 expression was higher in smokers compared to non-smokers in datasets examining small and large airway epithelia, but not in the data from a study of sorted alveolar macrophages. Moreover, AKR1B10 expression was relatively higher in lung cancer specimens compared to matched healthy tissue obtained from nonsmoking individuals. Although the overall accuracy of AKR1B10 expression level in distinction between cancer and healthy lung tissue was 76%, with a specificity of 98%, our results indicated that such marker exhibited low sensitivity, hampering its use for cancer screening such specific setting. Conclusion The systematic analysis of transcriptomic studies performed here revealed a potential critical link between AKR1B10 expression, smoking and occurrence of lung cancer.engPublic Library of ScienceCancer de pulmãoTabagismoBiologia de sistemasProteína AKR1B10Lung NeoplasmsTobacco Use DisorderSystems BiologyAldo-Keto Reductase Family 1 member B10Systems biology analysis of publicly available transcriptomic data reveals a critical link between AKR1B10 gene expression, smoking and occurrence of lung cancerinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/40665/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALCubillos-Angulo, J.M. Systems....pdfCubillos-Angulo, J.M. 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dc.title.pt_BR.fl_str_mv Systems biology analysis of publicly available transcriptomic data reveals a critical link between AKR1B10 gene expression, smoking and occurrence of lung cancer
title Systems biology analysis of publicly available transcriptomic data reveals a critical link between AKR1B10 gene expression, smoking and occurrence of lung cancer
spellingShingle Systems biology analysis of publicly available transcriptomic data reveals a critical link between AKR1B10 gene expression, smoking and occurrence of lung cancer
Cubillos-Angulo, Juan Manuel
Cancer de pulmão
Tabagismo
Biologia de sistemas
Proteína AKR1B10
Lung Neoplasms
Tobacco Use Disorder
Systems Biology
Aldo-Keto Reductase Family 1 member B10
title_short Systems biology analysis of publicly available transcriptomic data reveals a critical link between AKR1B10 gene expression, smoking and occurrence of lung cancer
title_full Systems biology analysis of publicly available transcriptomic data reveals a critical link between AKR1B10 gene expression, smoking and occurrence of lung cancer
title_fullStr Systems biology analysis of publicly available transcriptomic data reveals a critical link between AKR1B10 gene expression, smoking and occurrence of lung cancer
title_full_unstemmed Systems biology analysis of publicly available transcriptomic data reveals a critical link between AKR1B10 gene expression, smoking and occurrence of lung cancer
title_sort Systems biology analysis of publicly available transcriptomic data reveals a critical link between AKR1B10 gene expression, smoking and occurrence of lung cancer
author Cubillos-Angulo, Juan Manuel
author_facet Cubillos-Angulo, Juan Manuel
Fukutani, Eduardo R.
Cruz, Luís A. B.
Arriaga Gutiérrez, María Belen
Lima, João Victor
Andrade, Bruno de Bezerril
Queiroz, Artur Trancoso Lopo de
Fukutani, Kiyoshi Ferreira
author_role author
author2 Fukutani, Eduardo R.
Cruz, Luís A. B.
Arriaga Gutiérrez, María Belen
Lima, João Victor
Andrade, Bruno de Bezerril
Queiroz, Artur Trancoso Lopo de
Fukutani, Kiyoshi Ferreira
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Cubillos-Angulo, Juan Manuel
Fukutani, Eduardo R.
Cruz, Luís A. B.
Arriaga Gutiérrez, María Belen
Lima, João Victor
Andrade, Bruno de Bezerril
Queiroz, Artur Trancoso Lopo de
Fukutani, Kiyoshi Ferreira
dc.subject.other.pt_BR.fl_str_mv Cancer de pulmão
Tabagismo
Biologia de sistemas
Proteína AKR1B10
topic Cancer de pulmão
Tabagismo
Biologia de sistemas
Proteína AKR1B10
Lung Neoplasms
Tobacco Use Disorder
Systems Biology
Aldo-Keto Reductase Family 1 member B10
dc.subject.en.pt_BR.fl_str_mv Lung Neoplasms
Tobacco Use Disorder
Systems Biology
Aldo-Keto Reductase Family 1 member B10
description Universidade Salvador, the Intramural Program of Fundac¸ão Oswaldo Cruz (FIOCRUZ), Fundac¸ão Jose´ Silveira and by the Brazilian National Council for Scientific and Technological Development (CNPq). K.F.F. received a fellowship from the Programa Nacional de Po´s-Doutorado, Coordenac¸ão de Aperfeic¸oamento de Pessoal de Nı´vel Superior (CAPES) (Finance Code 001). The work of B.B.A. was supported by grants from the NIH (U01AI115940, R01AI069923-08, R01AI20790-02). B.B.A. and A.T.L.Q. are senior investigators from CNPq. J. M. C.-A. was supported by the Organization of American States - Partnerships Program for Education and Training (OAS-PAEC) and his study was financed in part by the Coordenac¸ão de Aperfeic¸oamento de Pessoal de Nı´vel Superior - Brasil (CAPES) - Finance Code 001. M.B.A. received PhD fellowship from Fundac¸ão de Amparo à Pesquisa da Bahia (FAPESB) and FIOCRUZ. L.A.B.C. was supported by a research fellowship from CNPq.
publishDate 2020
dc.date.accessioned.fl_str_mv 2020-04-07T12:33:12Z
dc.date.available.fl_str_mv 2020-04-07T12:33:12Z
dc.date.issued.fl_str_mv 2020
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dc.identifier.citation.fl_str_mv CUBILLOS-ANGULO, Juan Manuel et al. Systems biology analysis of publicly available transcriptomic data reveals a critical link between AKR1B10 gene expression, smoking and occurrence of lung cancer. Plos One, p. 1-15, Feb. 2020.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/40665
dc.identifier.issn.pt_BR.fl_str_mv 1932-6203
dc.identifier.doi.none.fl_str_mv 10.1371/journal.pone.0222552
identifier_str_mv CUBILLOS-ANGULO, Juan Manuel et al. Systems biology analysis of publicly available transcriptomic data reveals a critical link between AKR1B10 gene expression, smoking and occurrence of lung cancer. Plos One, p. 1-15, Feb. 2020.
1932-6203
10.1371/journal.pone.0222552
url https://www.arca.fiocruz.br/handle/icict/40665
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