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

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. Here, we perform a comprehensive analysis using Systems...

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Veröffentlicht in:	PloS one Jg. 15; H. 2; S. e0222552
Hauptverfasser:	Cubillos-Angulo, Juan M., Fukutani, Eduardo R., Cruz, Luís A. B., Arriaga, María B., Lima, João Victor, Andrade, Bruno B., Queiroz, Artur T. L., Fukutani, Kiyoshi F.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 25.02.2020 Public Library of Science (PLoS)
Schlagworte:	Aldo-Keto Reductases - genetics Aldo-Keto Reductases - metabolism Algorithms Alveoli Analysis Biology Biology and Life Sciences Biomarkers Biomarkers, Tumor Cancer genetics Cancer research Cancer screening Cigarette smoking Cigarettes Classification Data mining Datasets Development and progression Diseases DNA methylation Gene expression Gene Expression Profiling Genes Health risks Humans Learning algorithms Lung cancer Lung diseases Lung Neoplasms - etiology Lung Neoplasms - genetics Machine learning Macrophages Medicine and Health Sciences Mutation Physical Sciences Research and Analysis Methods Respiratory diseases Respiratory tract diseases Science Policy Setting (Literature) Smoke Smokers Smoking Smoking - adverse effects Smoking - genetics Social Sciences Systems analysis Systems Biology - methods Tissues Transcriptome Taiwan Brazil
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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