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 Name | Affiliation | E-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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