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Multi-Omics Analysis Reveals a HIF Network and Hub Gene EPAS1 Associated with Lung Adenocarcinoma
Z. Wang, Y. Wei, R. Zhang, L. Su, SM. Gogarten, G. Liu, P. Brennan, JK. Field, JD. McKay, J. Lissowska, B. Swiatkowska, V. Janout, C. Bolca, M. Kontic, G. Scelo, D. Zaridze, CC. Laurie, KF. Doheny, EK. Pugh, BA. Marosy, KN. Hetrick, X. Xiao, C....
Language English Country Netherlands
Document type Journal Article
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- MeSH
- Adenocarcinoma of Lung MeSH
- Adenocarcinoma genetics pathology MeSH
- Hypoxia-Inducible Factor 1, alpha Subunit genetics MeSH
- Genetic Predisposition to Disease MeSH
- Genetic Association Studies MeSH
- Polymorphism, Single Nucleotide MeSH
- Middle Aged MeSH
- Humans MeSH
- DNA Methylation genetics MeSH
- Lung Neoplasms genetics pathology MeSH
- Carcinoma, Non-Small-Cell Lung genetics pathology MeSH
- Gene Expression Regulation, Neoplastic MeSH
- Aged MeSH
- Basic Helix-Loop-Helix Transcription Factors genetics MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
Recent technological advancements have permitted high-throughput measurement of the human genome, epigenome, metabolome, transcriptome, and proteome at the population level. We hypothesized that subsets of genes identified from omic studies might have closely related biological functions and thus might interact directly at the network level. Therefore, we conducted an integrative analysis of multi-omic datasets of non-small cell lung cancer (NSCLC) to search for association patterns beyond the genome and transcriptome. A large, complex, and robust gene network containing well-known lung cancer-related genes, including EGFR and TERT, was identified from combined gene lists for lung adenocarcinoma. Members of the hypoxia-inducible factor (HIF) gene family were at the center of this network. Subsequent sequencing of network hub genes within a subset of samples from the Transdisciplinary Research in Cancer of the Lung-International Lung Cancer Consortium (TRICL-ILCCO) consortium revealed a SNP (rs12614710) in EPAS1 associated with NSCLC that reached genome-wide significance (OR = 1.50; 95% CI: 1.31-1.72; p = 7.75 × 10-9). Using imputed data, we found that this SNP remained significant in the entire TRICL-ILCCO consortium (p = .03). Additional functional studies are warranted to better understand interrelationships among genetic polymorphisms, DNA methylation status, and EPAS1 expression.
Biomedical Data Science Geisel School of Medicine at Dartmouth Hanover NH USA
Clinic of Pulmonology Clinical Center of Serbia Belgrade Serbia
Department of Biostatistics Harvard T H Chan School of Public Health Boston MA USA
Department of Biostatistics School of Public Health University of Washington Seattle WA USA
Department of Environmental Health Harvard T H Chan School of Public Health Boston MA USA
Institute of Translational Medicine University of Liverpool Liverpool United Kingdom
Lunenfeld Tanenbaum Research Institute Sinai Health System University of Toronto Toronto Canada
Nofer Institute of Occupational Medicine Department of Environmental Epidemiology Lodz Poland
Princess Margaret Cancer Centre Toronto Canada
Russian N N Blokhin Cancer Research Centre Moscow Russian Federation
Thoracic Surgery Division Marius Nasta National Institute of Pneumology Bucharest Romania
References provided by Crossref.org
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