Aixia Chen,Shengnan Zhao,Fei Zhou,Hongying Lv,Donghai Liang,Tao Jiang,Lijin Zhu,Rui Liu,Jingyu Cao,Shihai Liu,Hongsheng Yu. Identification of potential immune-related prognostic biomarkers of lung cancer using gene co-expression network analysis. Oncol Transl Med, 2020, 6: 247-257.
Identification of potential immune-related prognostic biomarkers of lung cancer using gene co-expression network analysis
Received:June 15, 2020  Revised:October 13, 2020
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KeyWord:lung adenocarcinoma (LUAD); bioinformatics; gene expression omnibus; gene expression profiling interactive analysis (GEPIA); prognosis; methylation
Author NameAffiliationE-mail
Aixia Chen Department of Radiation Oncology, The Affiliated Hospital of Qingdao University caxdoc@126.com 
Shengnan Zhao Department of Medcine Oncology, Qinghai University Affilated Hospital  
Fei Zhou Department of Radiation Oncology, The Affiliated Hospital of Qingdao University  
Hongying Lv Department of Radiation Oncology, The Affiliated Hospital of Qingdao University  
Donghai Liang Department of Radiation Oncology, The Affiliated Hospital of Qingdao University  
Tao Jiang Department of Radiation Oncology, The Affiliated Hospital of Qingdao University  
Lijin Zhu Department of Radiation Oncology, The Affiliated Hospital of Qingdao University  
Rui Liu Department of Radiation Oncology, The Affiliated Hospital of Qingdao University  
Jingyu Cao Department of Hepatobilary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University  
Shihai Liu Department of Central Laboratory, The Affiliated Hospital of Qingdao University  
Hongsheng Yu Department of Radiation Oncology, The Affiliated Hospital of Qingdao University qdyuhs@126.com 
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Abstract:
      Objective: The objective of this study was to identify new carcinogenetic hub genes and develop the integration of differentially expressed genes to predict the prognosis of lung cancer. Methods: GSE139032 microarray data packages were downloaded from the Gene Expression Omnibus for planning, testing, and review of data. We identified KRT6C, LAMC2, LAMB3, KRT6A, and MYEOV from a key module for validation. Results: We found that the five genes were related to a poor prognosis, and the expression levels of these genes were associated with tumor stage. Furthermore, Kaplan-Meier plotter showed that the five hub genes had better prognostic values. The mean levels of methylation in lung adenocarcinoma (LUAD) were significantly lower than those in healthy lung tissues for the hub genes. However, gene set enrichment analysis (GSEA) for single hub genes showed that all of them were immune-related. Conclusion: Our findings demonstrated that KRT6C, LAMC2, LAMB3, KRT6A, and MYEOV are all candidate diagnostic and prognostic biomarkers for LUAD. They may have clinical implications in LUAD patients not only for the improvement of risk stratification but also for therapeutic decisions and prognosis prediction.
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