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Article

An eight-long non-coding RNA signature as a candidate prognostic biomarker for lung cancer

  • Authors:
    • Zhenbo Tu
    • Du He
    • Xinzhou Deng
    • Meng Xiong
    • Xiaoxing Huang
    • Xinran Li
    • Ling Hao
    • Qianshan Ding
    • Qiuping Zhang
  • View Affiliations / Copyright

    Affiliations: Department of Immunology, Wuhan University School of Basic Medical Sciences, Wuhan, Hubei, P.R. China, Department of Oncology, The Central Hospital of Enshi Autonomous Prefecture, Enshi Clinical College of Wuhan University, Enshi, Hubei, P.R. China, Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, Hubei, P.R. China
  • Pages: 215-222
    |
    Published online on: May 18, 2016
       https://doi.org/10.3892/or.2016.4817
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Abstract

Cumulative evidence suggests that long non-coding RNAs (lncRNAs) may be good biomarkers in various types of tumors. In the present study, we mined lncRNA expression profiling in 739 lung cancer patients from Gene Expression Omnibus (GEO) datasets. A risk score model was constructed based on the expression data of these eight lncRNAs in the training dataset (GSE30219). The validation for the association was performed in three independent testing sets (GSE31210, GSE37745 and GSE19188). Finally, a set of eight lncRNA genes (AK021595, BC030759, AK000053, AK124307, BC020384, AK022024, CR615992 and AF085995) were identified by the random survival forest algorithm. Using a risk score based on the expression signature of these lncRNAs, we separated the patients into low-risk and high-risk groups with significantly different survival times in the training set. This finding was validated in the other three testing sets. Further study revealed that the eight-lncRNA expression signature was independent of age and gender. Gene Set Enrichment Analysis (GSEA) suggested that lncRNAs were involved in cell cycle and DNA replication signaling pathways. Therefore, the eight lncRNAs may be candidate prognostic biomarkers for lung cancer patients.
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Copy and paste a formatted citation
Spandidos Publications style
Tu Z, He D, Deng X, Xiong M, Huang X, Li X, Hao L, Ding Q and Zhang Q: An eight-long non-coding RNA signature as a candidate prognostic biomarker for lung cancer. Oncol Rep 36: 215-222, 2016.
APA
Tu, Z., He, D., Deng, X., Xiong, M., Huang, X., Li, X. ... Zhang, Q. (2016). An eight-long non-coding RNA signature as a candidate prognostic biomarker for lung cancer. Oncology Reports, 36, 215-222. https://doi.org/10.3892/or.2016.4817
MLA
Tu, Z., He, D., Deng, X., Xiong, M., Huang, X., Li, X., Hao, L., Ding, Q., Zhang, Q."An eight-long non-coding RNA signature as a candidate prognostic biomarker for lung cancer". Oncology Reports 36.1 (2016): 215-222.
Chicago
Tu, Z., He, D., Deng, X., Xiong, M., Huang, X., Li, X., Hao, L., Ding, Q., Zhang, Q."An eight-long non-coding RNA signature as a candidate prognostic biomarker for lung cancer". Oncology Reports 36, no. 1 (2016): 215-222. https://doi.org/10.3892/or.2016.4817
Copy and paste a formatted citation
x
Spandidos Publications style
Tu Z, He D, Deng X, Xiong M, Huang X, Li X, Hao L, Ding Q and Zhang Q: An eight-long non-coding RNA signature as a candidate prognostic biomarker for lung cancer. Oncol Rep 36: 215-222, 2016.
APA
Tu, Z., He, D., Deng, X., Xiong, M., Huang, X., Li, X. ... Zhang, Q. (2016). An eight-long non-coding RNA signature as a candidate prognostic biomarker for lung cancer. Oncology Reports, 36, 215-222. https://doi.org/10.3892/or.2016.4817
MLA
Tu, Z., He, D., Deng, X., Xiong, M., Huang, X., Li, X., Hao, L., Ding, Q., Zhang, Q."An eight-long non-coding RNA signature as a candidate prognostic biomarker for lung cancer". Oncology Reports 36.1 (2016): 215-222.
Chicago
Tu, Z., He, D., Deng, X., Xiong, M., Huang, X., Li, X., Hao, L., Ding, Q., Zhang, Q."An eight-long non-coding RNA signature as a candidate prognostic biomarker for lung cancer". Oncology Reports 36, no. 1 (2016): 215-222. https://doi.org/10.3892/or.2016.4817
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