Identification of differential protein‐coding gene expressions in early phase lung adenocarcinoma.
Background: The diagnosis of early phase lung adenocarcinoma (LADC) is associated with therapeutic strategy, effect, and survival time. However, the sensitive biomarkers of early phase LADC are still unclear. This study aimed to identify protein‐coding genes that can be used as biomarkers of early s...
| Publicado en: | Thoracic Cancer Vol. 9; no. 2; pp. 234 - 241 |
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| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Feb2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=127745359&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 127745359 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17597706 BDCY jtl: Thoracic Cancer issn: 17597706 maglogo: Y pubinfo: dt: Feb2018 vid: 9 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 127745359 127745359 127745359 10.1111/1759-7714.12569 127745359 ppf: 234 ppct: 7 formats: tig: atl: Identification of differential protein‐coding gene expressions in early phase lung adenocarcinoma. aug: au: Zhou, Li‐Na Li, Shi‐Cheng Li, Xue‐Ying Ge, Hong Li, Hong‐Mei affil: Department of Cancer, The Affiliated Hospital of Qingdao University, Qingdao, China sug: subj: Lung Neoplasms Diagnosis Adenocarcinoma Diagnosis Gene Expression Biological Markers Early Detection of Cancer Human Microarray Analysis Comparative Studies Data Analysis Software Ontologies Metabolic Networks and Pathways Cell Adhesion Molecules Receptors, Cell Surface Signal Transduction Bioinformatics ab: Background: The diagnosis of early phase lung adenocarcinoma (LADC) is associated with therapeutic strategy, effect, and survival time. However, the sensitive biomarkers of early phase LADC are still unclear. This study aimed to identify protein‐coding genes that can be used as biomarkers of early stage LADC. Methods: Gene microarray analysis was performed to identify key hub genes that show different expression in lung adenocarcinoma compared to normal tissues. The microarray data of lung adenocarcinoma in stages IA, IB, IIA, IIB, and normal tissues (GSE10072) were downloaded from a free online database, Gene Expression Omnibus (GEO). Results: A total of 572 differentially expressed genes (DEGs) were identified between early phase lung adenocarcinoma and normal tissues using R software. Database for Annotation, Visualization and Integrated Discovery online tools were used to obtain Gene Ontology analysis and the Kyoto Encyclopedia of Genes and Genomes was used to analyze DEGs. Cytoscape software was used to express the protein‐protein interaction network. We found that some cancer‐related Gene Ontology terms and pathways (e.g. cell adhesion, cell surface receptor signaling pathway, PI3K‐Akt signaling pathway) were significantly enriched in DEGs. Conclusion: Protein‐coding genes <italic>JUN</italic>, <italic>FYN</italic>, <italic>CAV1</italic>, and <italic>SFN</italic> may play vital roles in the progress of early‐stage lung adenocarcinoma. Consequently, through bioinformatics analysis, the key genes could be established to provide more potential references for the therapeutic targets of lung adenocarcinoma. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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