Possible pathways used to predict different stages of lung adenocarcinoma.
We aimed to find some specific pathways that can be used to predict the stage of lung adenocarcinoma.RNA-Seq expression profile data and clinical data of lung adenocarcinoma (stage I [37], stage II 161], stage III [75], and stage IV [45]) were obtained from the TCGA dataset. The differentially expre...
| Published in: | Medicine Vol. 96; no. 17; pp. 1 - 10 |
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| Main Authors: | , , , , , , , , , |
| Format: | Journal Article |
| Published: |
Lippincott Williams & Wilkins
4/28/2017
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=123071868&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 123071868 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00257974 2S6 jtl: Medicine issn: 00257974 maglogo: N pubinfo: dt: 4/28/2017 vid: 96 iid: 17 pid: 433 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 123071868 123071868 NLM28445293 10.1097/MD.0000000000006736 NLM28445293 123071868 ppf: 1 ppct: 9 formats: tig: atl: Possible pathways used to predict different stages of lung adenocarcinoma. aug: au: Xiaodong Chen Qiongyu Duan Ying Xuan Yunan Sun Rong Wu Chen, Xiaodong Duan, Qiongyu Xuan, Ying Sun, Yunan Wu, Rong affil: Department of Medical Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China sug: subj: Lung Neoplasms Pathology Lung Neoplasms Adenocarcinoma Adenocarcinoma Pathology Adenocarcinoma Metabolism Cluster Analysis Software Sensitivity and Specificity Neoplasm Staging Adenocarcinoma Classification Resource Databases Prognosis Linear Regression Gene Expression Profiling Gene Expression Algorithms Lung Neoplasms Classification Lung Neoplasms Metabolism Scales ab: We aimed to find some specific pathways that can be used to predict the stage of lung adenocarcinoma.RNA-Seq expression profile data and clinical data of lung adenocarcinoma (stage I [37], stage II 161], stage III [75], and stage IV [45]) were obtained from the TCGA dataset. The differentially expressed genes were merged, correlation coefficient matrix between genes was constructed with correlation analysis, and unsupervised clustering was carried out with hierarchical clustering method. The specific coexpression network in every stage was constructed with cytoscape software. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis was performed with KOBAS database and Fisher exact test. Euclidean distance algorithm was used to calculate total deviation score. The diagnostic model was constructed with SVM algorithm.Eighteen specific genes were obtained by getting intersection of 4 group differentially expressed genes. Ten significantly enriched pathways were obtained. In the distribution map of 10 pathways score in different groups, degrees that sample groups deviated from the normal level were as follows: stage I < stage II < stage III < stage IV. The pathway score of 4 stages exhibited linear change in some pathways, and the score of 1 or 2 stages were significantly different from the rest stages in some pathways. There was significant difference between dead and alive for these pathways except thyroid hormone signaling pathway.Those 10 pathways are associated with the development of lung adenocarcinoma and may be able to predict different stages of it. Furthermore, these pathways except thyroid hormone signaling pathway may be able to predict the prognosis. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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