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Article Open Access

Genome‑scale analysis to identify potential prognostic microRNA biomarkers for predicting overall survival in patients with colon adenocarcinoma

  • Authors:
    • Hao‑Tang Wei
    • Er‑Na Guo
    • Xi‑Wen Liao
    • Li‑Sheng Chen
    • Jia‑Lei Wang
    • Min Ni
    • Chi Liang
  • View Affiliations / Copyright

    Affiliations: Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Guangxi Medical University, Nanning,Guangxi Zhuang Autonomous Region 530031, P.R. China, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China, Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China, Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China, Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Guangxi Medical University, Nanning,Guangxi Zhuang Autonomous Region 530031, P.R. China
    Copyright: © Wei et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 1947-1958
    |
    Published online on: July 30, 2018
       https://doi.org/10.3892/or.2018.6607
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Abstract

The aim of the present study was to identify potential prognostic microRNA (miRNA) biomarkers for colon adenocarcinoma (COAD) prognostic prediction using the dataset of The Cancer Genome Atlas (TCGA). The genome‑wide miRNA sequencing dataset and corresponding COAD clinical information were downloaded from TCGA. Prognosis‑related miRNA screening was performed by genome‑wide multivariable Cox regression analysis and used for prognostic signature construction. Ten miRNAs (hsa‑mir‑891a, hsa‑mir‑6854, hsa‑mir‑216a, hsa‑mir‑378d‑1, hsa‑mir‑92a‑1, hsa‑mir‑4709, hsa‑mir‑92a‑2, hsa‑mir‑210, hsa‑mir‑940 and hsa‑mir‑887) were identified as prognostic miRNAs and used for further prognostic signature construction. The 10‑miRNA prognostic signature showed good performance in prognosis prediction (adjusted P<0.0001; adjusted hazard ratio, 4.580; 95% confidence interval, 2.783‑7.538). In the time‑dependent receiver operating characteristic analysis, the area under the curve was 0.735, 0.788, 0.806, 0.806, 0.775 and 0.900 for 1‑, 2‑, 3‑, 4‑, 5‑ and 10‑year COAD overall survival prediction, respectively. Comprehensive survival analysis suggested that the 10‑miRNA prognostic signature is an independent prognostic factor in COAD, with a better performance in COAD overall survival prediction than other traditional clinical parameters. Functional enrichment indicated that the corresponding target genes were significantly enriched in multiple biological processes and pathways, including regulation of cell proliferation, cell cycle, cell growth, and Wnt and transforming growth factor‑β signaling pathways. In conclusion, our present study identified a 10‑miRNA expression signature that may serve as a potential prognostic biomarker in COAD patients.
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Copy and paste a formatted citation
Spandidos Publications style
Wei HT, Guo EN, Liao XW, Chen LS, Wang JL, Ni M and Liang C: Genome‑scale analysis to identify potential prognostic microRNA biomarkers for predicting overall survival in patients with colon adenocarcinoma. Oncol Rep 40: 1947-1958, 2018.
APA
Wei, H., Guo, E., Liao, X., Chen, L., Wang, J., Ni, M., & Liang, C. (2018). Genome‑scale analysis to identify potential prognostic microRNA biomarkers for predicting overall survival in patients with colon adenocarcinoma. Oncology Reports, 40, 1947-1958. https://doi.org/10.3892/or.2018.6607
MLA
Wei, H., Guo, E., Liao, X., Chen, L., Wang, J., Ni, M., Liang, C."Genome‑scale analysis to identify potential prognostic microRNA biomarkers for predicting overall survival in patients with colon adenocarcinoma". Oncology Reports 40.4 (2018): 1947-1958.
Chicago
Wei, H., Guo, E., Liao, X., Chen, L., Wang, J., Ni, M., Liang, C."Genome‑scale analysis to identify potential prognostic microRNA biomarkers for predicting overall survival in patients with colon adenocarcinoma". Oncology Reports 40, no. 4 (2018): 1947-1958. https://doi.org/10.3892/or.2018.6607
Copy and paste a formatted citation
x
Spandidos Publications style
Wei HT, Guo EN, Liao XW, Chen LS, Wang JL, Ni M and Liang C: Genome‑scale analysis to identify potential prognostic microRNA biomarkers for predicting overall survival in patients with colon adenocarcinoma. Oncol Rep 40: 1947-1958, 2018.
APA
Wei, H., Guo, E., Liao, X., Chen, L., Wang, J., Ni, M., & Liang, C. (2018). Genome‑scale analysis to identify potential prognostic microRNA biomarkers for predicting overall survival in patients with colon adenocarcinoma. Oncology Reports, 40, 1947-1958. https://doi.org/10.3892/or.2018.6607
MLA
Wei, H., Guo, E., Liao, X., Chen, L., Wang, J., Ni, M., Liang, C."Genome‑scale analysis to identify potential prognostic microRNA biomarkers for predicting overall survival in patients with colon adenocarcinoma". Oncology Reports 40.4 (2018): 1947-1958.
Chicago
Wei, H., Guo, E., Liao, X., Chen, L., Wang, J., Ni, M., Liang, C."Genome‑scale analysis to identify potential prognostic microRNA biomarkers for predicting overall survival in patients with colon adenocarcinoma". Oncology Reports 40, no. 4 (2018): 1947-1958. https://doi.org/10.3892/or.2018.6607
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