Open Access

A five‑long non‑coding RNA signature with the ability to predict overall survival of patients with lung adenocarcinoma

  • Authors:
    • Lizhong Zeng
    • Wei Wang
    • Yang Chen
    • Xin Lv
    • Jingyan Yuan
    • Ruiying Sun
    • Shuanying Yang
  • View Affiliations

  • Published online on: October 25, 2019     https://doi.org/10.3892/etm.2019.8138
  • Pages: 4852-4864
  • Copyright: © Zeng et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

An increasing number of studies have indicated that the abnormal expression of certain long non‑coding RNAs (lncRNAs) is linked to the overall survival (OS) of patients with lung adenocarcinoma (LUAD). The aim of the present study was to establish an lncRNA signature to predict the survival of patients with LUAD. The gene expression profiles and associated clinical information of patients with LUAD were downloaded from The Cancer Genome Atlas database. The cohort was randomly sub‑divided into training and verification cohorts. Univariate Cox regression analysis was performed on differentially expressed lncRNAs in the training cohort to select candidate lncRNAs closely associated with survival. Next, a risk score (RS) model consisting of 5 lncRNAs was established by multivariate Cox regression analysis on candidate lncRNAs. Using the median RS obtained from the training cohort as a cut‑off point, patients were classified into high‑ and low‑risk groups. Kaplan‑Meier survival analysis revealed a significant difference in OS between high‑ and low‑risk groups. The survival prediction ability of the 5‑lncRNA signature was further tested in the verification and total cohorts. The results proved that the 5‑lncRNA signature had good reliability and stability in survival prediction for patients with LUAD. The univariate Cox regression analysis for the 5‑lncRNA signature in each cohort indicated that the 5‑lncRNA signature was closely associated with survival. Multivariate Cox regression analysis and stratification analysis proved that the prognostic signature was an independent predictor of survival for patients with LUAD. In addition, functional enrichment analysis indicated that the 5 prognostic lncRNAs may be involved in the tumorigenesis of LUAD through cancer‑associated pathways and biological processes. Taken together, the present study provided a 5‑lncRNA signature that may serve as an independent survival predictor for patients with LUAD.
View Figures
View References

Related Articles

Journal Cover

December 2019
Volume 18 Issue 6

Print ISSN: 1792-0981
Online ISSN:1792-1015

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
APA
Zeng, L., Wang, W., Chen, Y., Lv, X., Yuan, J., Sun, R., & Yang, S. (2019). A five‑long non‑coding RNA signature with the ability to predict overall survival of patients with lung adenocarcinoma . Experimental and Therapeutic Medicine, 18, 4852-4864. https://doi.org/10.3892/etm.2019.8138
MLA
Zeng, L., Wang, W., Chen, Y., Lv, X., Yuan, J., Sun, R., Yang, S."A five‑long non‑coding RNA signature with the ability to predict overall survival of patients with lung adenocarcinoma ". Experimental and Therapeutic Medicine 18.6 (2019): 4852-4864.
Chicago
Zeng, L., Wang, W., Chen, Y., Lv, X., Yuan, J., Sun, R., Yang, S."A five‑long non‑coding RNA signature with the ability to predict overall survival of patients with lung adenocarcinoma ". Experimental and Therapeutic Medicine 18, no. 6 (2019): 4852-4864. https://doi.org/10.3892/etm.2019.8138