Open Access

Identification of a progression‑associated long non‑coding RNA signature for predicting the prognosis of lung squamous cell carcinoma

  • Authors:
    • Yanyan Wang
    • Fang Yang
    • Yongzhi Zhuang
  • View Affiliations

  • Published online on: November 27, 2017     https://doi.org/10.3892/etm.2017.5571
  • Pages:1185-1192
  • Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Long non‑coding RNAs (lncRNAs) have been indicated to have prognostic roles in various cancer types. However, the association between lncRNAs and lung squamous cell carcinoma (LSCC) progression, and the prognostic value of lncRNAs as a marker for early detection of LSCC have not been systematically investigated. The present study performed a genome‑wide comparative analysis in order to determine the expression profiles of 10,207 lncRNAs to investigate the expression patterns between patients with early stages of LSCC (stage I‑II) and those with late‑stage disease (stage III‑IV). It was found that 114 lncRNAs were significantly differentially expressed between late‑ and early‑stage LSCC and therefore associated with the progression of the malignancy. By focusing on progression‑associated lncRNAs, eight lncRNAs were found to be significantly associated with overall survival of LSCC patients according to univariate Cox proportional hazards regression analysis. These eight prognostic lncRNAs were integrated into a progression‑associated eight‑lncRNA signature, which stratified patients into two groups with significantly different overall survival (median survival, 2.25 vs. 7.68 years; P=2.06x10‑5). In addition, the prognostic value of the progression‑associated eight‑lncRNA signature was independent of known clinical factors. Functional analysis suggested that eight prognostic lncRNAs may be involved in adipocytokine signaling pathway and glycerophospholipid metabolism. Taken together, the progression‑associated eight‑lncRNA signature identified by our study not only represents a candidate prognostic biomarker for LSCC patients but also provides insight into the molecular mechanisms in the progression of LSCC.

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Journal Cover

February 2018
Volume 15 Issue 2

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

2016 Impact Factor: 1.261
Ranked #50/128 Medicine Research and Experimental
(total number of cites)

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APA
Wang, Y., Yang, F., & Zhuang, Y. (2018). Identification of a progression‑associated long non‑coding RNA signature for predicting the prognosis of lung squamous cell carcinoma. Experimental and Therapeutic Medicine, 15, 1185-1192. https://doi.org/10.3892/etm.2017.5571
MLA
Wang, Y., Yang, F., Zhuang, Y."Identification of a progression‑associated long non‑coding RNA signature for predicting the prognosis of lung squamous cell carcinoma". Experimental and Therapeutic Medicine 15.2 (2018): 1185-1192.
Chicago
Wang, Y., Yang, F., Zhuang, Y."Identification of a progression‑associated long non‑coding RNA signature for predicting the prognosis of lung squamous cell carcinoma". Experimental and Therapeutic Medicine 15, no. 2 (2018): 1185-1192. https://doi.org/10.3892/etm.2017.5571