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A novel CpG island methylation panel predicts survival in lung adenocarcinomas

  • Authors:
    • Pingzhao Yan
    • Xiaohua Yang
    • Jianhua Wang
    • Shichang Wang
    • Hong Ren
  • View Affiliations / Copyright

    Affiliations: Department of General Surgery, People's Hospital of Tongchuan, Tongchuan, Shaanxi 727000, P.R. China, Department of Respiratory and Hematology Medicine, People's Hospital of Tongchuan, Tongchuan, Shaanxi 727000, P.R. China, Department of Oncology Surgery, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, P.R. China
    Copyright: © Yan et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 1011-1022
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    Published online on: June 4, 2019
       https://doi.org/10.3892/ol.2019.10431
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Abstract

The lack of clinically useful biomarkers compromise the personalized management of lung adenocarcinomas (ADCs); epigenetic events and DNA methylation in particular have exhibited potential value as biomarkers. By comparing genome‑wide DNA methylation data of paired lung ADCs and normal tissues from 6 public datasets, cancer‑specific CpG island (CGI) methylation changes were identified with a pre‑specified criterion. Correlations between DNA methylation and expression data for each gene were assessed by Pearson correlation analysis. A prognostically relevant CGI methylation signature was constructed by risk‑score analysis, and was validated using a training‑validation approach. Survival data were analyzed by log‑rank test and Cox regression model. In total, 134 lung ADC‑specific CGI CpGs were identified, among which, a panel of 9 CGI loci were selected as prognostic candidates, and were used to construct a risk‑score signature. The novel CGI methylation signature was identified to classify distinct prognostic subgroups across different datasets, and was demonstrated to be a potent independent prognostic factor for overall survival time of patients with lung ADCs. In addition, it was identified that cancer‑specific CGI hypomethylation of RPL39L, along with the corresponding gene expression, provided optimized prognostication of lung ADCs. In summary, cancer‑specific CGI methylation aberrations are optimal candidates for novel biomarkers of lung ADCs; the 9‑CpG methylation panel and hypomethylation of RPL39L exhibited particularly promising significance.
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Copy and paste a formatted citation
Spandidos Publications style
Yan P, Yang X, Wang J, Wang S and Ren H: A novel CpG island methylation panel predicts survival in lung adenocarcinomas. Oncol Lett 18: 1011-1022, 2019.
APA
Yan, P., Yang, X., Wang, J., Wang, S., & Ren, H. (2019). A novel CpG island methylation panel predicts survival in lung adenocarcinomas. Oncology Letters, 18, 1011-1022. https://doi.org/10.3892/ol.2019.10431
MLA
Yan, P., Yang, X., Wang, J., Wang, S., Ren, H."A novel CpG island methylation panel predicts survival in lung adenocarcinomas". Oncology Letters 18.2 (2019): 1011-1022.
Chicago
Yan, P., Yang, X., Wang, J., Wang, S., Ren, H."A novel CpG island methylation panel predicts survival in lung adenocarcinomas". Oncology Letters 18, no. 2 (2019): 1011-1022. https://doi.org/10.3892/ol.2019.10431
Copy and paste a formatted citation
x
Spandidos Publications style
Yan P, Yang X, Wang J, Wang S and Ren H: A novel CpG island methylation panel predicts survival in lung adenocarcinomas. Oncol Lett 18: 1011-1022, 2019.
APA
Yan, P., Yang, X., Wang, J., Wang, S., & Ren, H. (2019). A novel CpG island methylation panel predicts survival in lung adenocarcinomas. Oncology Letters, 18, 1011-1022. https://doi.org/10.3892/ol.2019.10431
MLA
Yan, P., Yang, X., Wang, J., Wang, S., Ren, H."A novel CpG island methylation panel predicts survival in lung adenocarcinomas". Oncology Letters 18.2 (2019): 1011-1022.
Chicago
Yan, P., Yang, X., Wang, J., Wang, S., Ren, H."A novel CpG island methylation panel predicts survival in lung adenocarcinomas". Oncology Letters 18, no. 2 (2019): 1011-1022. https://doi.org/10.3892/ol.2019.10431
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