Author | Cubillos-Angulo, Juan Manuel | |
Author | Fukutani, Eduardo R. | |
Author | Cruz, Luís A. B. | |
Author | Arriaga Gutiérrez, María Belen | |
Author | Lima, João Victor | |
Author | Andrade, Bruno de Bezerril | |
Author | Queiroz, Artur Trancoso Lopo de | |
Author | Fukutani, Kiyoshi Ferreira | |
Access date | 2020-04-07T12:33:12Z | |
Available date | 2020-04-07T12:33:12Z | |
Document date | 2020 | |
Citation | 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. | pt_BR |
ISSN | 1932-6203 | pt_BR |
URI | https://www.arca.fiocruz.br/handle/icict/40665 | |
Sponsorship | 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. | pt_BR |
Language | eng | pt_BR |
Publisher | Public Library of Science | pt_BR |
Rights | open access | pt_BR |
Subject in Portuguese | Cancer de pulmão | pt_BR |
Subject in Portuguese | Tabagismo | pt_BR |
Subject in Portuguese | Biologia de sistemas | pt_BR |
Subject in Portuguese | Proteína AKR1B10 | pt_BR |
Title | Systems biology analysis of publicly available transcriptomic data reveals a critical link between AKR1B10 gene expression, smoking and occurrence of lung cancer | pt_BR |
Type | Article | pt_BR |
DOI | 10.1371/journal.pone.0222552 | |
Abstract | 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. | pt_BR |
Affilliation | 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. | pt_BR |
Affilliation | Universidade Federal da Bahia. Faculdade de Medicina. Salvador, BA, Brasil. | pt_BR |
Affilliation | 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. | pt_BR |
Affilliation | 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. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil. | pt_BR |
Affilliation | 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. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil. | pt_BR |
Affilliation | 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. | pt_BR |
Subject | Lung Neoplasms | pt_BR |
Subject | Tobacco Use Disorder | pt_BR |
Subject | Systems Biology | pt_BR |
Subject | Aldo-Keto Reductase Family 1 member B10 | pt_BR |