机构:[1]Kunming Univ Sci & Technol, Fac Life Sci & Technol, Res Ctr Mol Med Yunnan Prov, 727 South Jingming Rd, Kunming 650500, Yunnan, Peoples R China[2]First Peoples Hosp Yunnan Prov, Med Oncol, Kunming, Yunnan, Peoples R China内科片肿瘤内科云南省第一人民医院[3]Kunming Med Univ, Inst Mol & Clin Med, Kunming, Yunnan, Peoples R China
Background: Non-small cell lung cancer (NSCLC) is the most common type of lung Neoplasms, which accounts for about 85% of all lung cancer types. However, critical biological pathways and key genes implicated in NSCLC remain ambiguous. Objectives: The present study aimed at identifying the critical biological pathways and key genes implicated in NSCLC, and providing insight into the molecular mechanism underlying NSCLC. Methods: In this case-control bioinformatics study, the researchers used four microarray data of NSCLC from public gene expression omnibus (GEO) database at the national center for biotechnology information (NCBI) website. The microarray data came from studies of American, Spanish, and Taiwanese NSCLC patients, and in total contained 190 NSCLC tissue and 180 normal lung tissue. A standardized- microarray preprocessing and gene set enrichment analysis (GSEA) were used to analyze each microarray data and obtained significantly regulated pathways. Venn analysis was used to identify the common significantly regulated biological pathways. Protein and protein interaction (PPI) network analysis was used to identify the key genes within common significantly regulated pathways. The PPI information was retrieved from STRING database, and Cytoscape software was used to construct and visualize the PPI network. Results: Through integrating GSEA results of four microarray data, finally, the researchers identified 22 common up-regulated and 85 common down-regulated pathways. Many genes within 107 common significantly regulated pathways were significantly enriched within cell cycle pathway (P value of 2.58e-79) and focal adhesion pathway (P value of 2.44e-81). The PPI network showed that up-regulated CDK1 (P value =1.33e-18 and logFC =1.41) and down-regulated PIK3R1 (P value = 5.09e-22 and logFC = -1.13) genes shared the most abundant edges, and were associated with NSCLC. Conclusions: This cross-sectional study showed increased concordance between gene expression profiling data. These identified pathways and genes provide some insight in the molecular mechanisms of NSCLC, and the genes may serve as candidate diagnostic and therapeutic targets of NSCLC.
基金:
Yunnan Applied Basic Research Projects [2016FB146]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China [31660655]; Funding for Fostering Talents of Kunming University of Science and Technology [KKSY201526053]; Health and Family Planning Commission of Yunnan Province [2017NS261]
第一作者机构:[1]Kunming Univ Sci & Technol, Fac Life Sci & Technol, Res Ctr Mol Med Yunnan Prov, 727 South Jingming Rd, Kunming 650500, Yunnan, Peoples R China
推荐引用方式(GB/T 7714):
Wang Tonglian,Hu Jing,Xu Lutong,et al.Cross-Sectional Study of Gene Expression Analysis Identifies Critical Biological Pathways and Key Genes Implicated in Non-Small Cell Lung Cancer[J].IRANIAN RED CRESCENT MEDICAL JOURNAL.2018,20(3):doi:10.5812/ircmj.65035.
APA:
Wang, Tonglian,Hu, Jing,Xu, Lutong,Zhao, Hongbo,Li, Yuanyue...&Chen, Qiang.(2018).Cross-Sectional Study of Gene Expression Analysis Identifies Critical Biological Pathways and Key Genes Implicated in Non-Small Cell Lung Cancer.IRANIAN RED CRESCENT MEDICAL JOURNAL,20,(3)
MLA:
Wang, Tonglian,et al."Cross-Sectional Study of Gene Expression Analysis Identifies Critical Biological Pathways and Key Genes Implicated in Non-Small Cell Lung Cancer".IRANIAN RED CRESCENT MEDICAL JOURNAL 20..3(2018)