Yi-De Wang1, Zheng Li2, Feng-Sen Li2. 1. Department of Integrated Pulmonology, Fourth Affiliated Hospital of Xinjiang Medical University Urumqi 830000, China. 2. Xinjiang National Clinical Research Base of Traditional Chinese Medicine, Xinjiang Medical University Urumqi 830000, China.
Abstract
OBJECTIVE: To explore the effect of smoking on gene expression in human alveolar macrophages and the value of identified key genes in the early diagnosis and prognosis of lung cancers. METHODS: We downloaded three data sets (GSE8823, GSE2125, and GSE3212) from the Gene Expression Omnibus (GEO) database, including 31 non-smoking and 33 smoking human alveolar macrophage samples. We identified common differentially expressed genes (DEGs), from which we obtained module genes and hub genes by using STRING and Cytoscape. Then we analyzed the protein-protein interaction (PPI) network of DEGs, hub genes, and module genes and used David online analysis tool to carry out functional enrichment analysis of DEGs and module genes. RESULTS: A total of 85 differentially expressed genes was obtained, including 42 up-regulated genes and 43 down-regulated genes. The Human Protein Atlas and Survival analysis showed that GBP1, ITGAM, CSF1, SPP1, COL1A1, LAMB1 and THBS1 may be closely associated with the carcinogenesis and prognosis of lung cancer. CONCLUSION: DEGs, module, and hub genes identified in the present study help explain the effects of smoking on human alveolar macrophages and provide candidate targets for diagnosis and treatment of smoking-related lung cancer. IJCEP
OBJECTIVE: To explore the effect of smoking on gene expression in human alveolar macrophages and the value of identified key genes in the early diagnosis and prognosis of lung cancers. METHODS: We downloaded three data sets (GSE8823, GSE2125, and GSE3212) from the Gene Expression Omnibus (GEO) database, including 31 non-smoking and 33 smoking human alveolar macrophage samples. We identified common differentially expressed genes (DEGs), from which we obtained module genes and hub genes by using STRING and Cytoscape. Then we analyzed the protein-protein interaction (PPI) network of DEGs, hub genes, and module genes and used David online analysis tool to carry out functional enrichment analysis of DEGs and module genes. RESULTS: A total of 85 differentially expressed genes was obtained, including 42 up-regulated genes and 43 down-regulated genes. The Human Protein Atlas and Survival analysis showed that GBP1, ITGAM, CSF1, SPP1, COL1A1, LAMB1 and THBS1 may be closely associated with the carcinogenesis and prognosis of lung cancer. CONCLUSION: DEGs, module, and hub genes identified in the present study help explain the effects of smoking on human alveolar macrophages and provide candidate targets for diagnosis and treatment of smoking-related lung cancer. IJCEP
Authors: Urszula Oleksiewicz; Triantafillos Liloglou; Kalliopi-Maria Tasopoulou; Nikoleta Daskoulidou; John R Gosney; John K Field; George Xinarianos Journal: J Cancer Res Clin Oncol Date: 2017-03-03 Impact factor: 4.553
Authors: Andrea Franceschini; Damian Szklarczyk; Sune Frankild; Michael Kuhn; Milan Simonovic; Alexander Roth; Jianyi Lin; Pablo Minguez; Peer Bork; Christian von Mering; Lars J Jensen Journal: Nucleic Acids Res Date: 2012-11-29 Impact factor: 16.971