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A predictive molecular signature consisting of lncRNAs associated with cellular senescence for the prognosis of lung adenocarcinoma

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  • Anbang Liu
  • Xiaohuai Wang
  • Liu Hu
  • Dongqing Yan
  • Yin Yin
  • Hongjie Zheng
  • Gengqiu Liu
  • Junhang Zhang
  • Yun Li

Abstract

The role of long noncoding RNAs (lncRNAs) has been verified by more and more researches in recent years. However, there are few reports on cellular senescence-associated lncRNAs in lung adenocarcinoma (LUAD). Therefore, to explore the prognostic effect of lncRNAs in LUAD, 279 cellular senescence-related genes, survival information and clinicopathologic parameters were derived from the CellAge database and The Cancer Genome Atlas (TCGA) database. Then, we constructed a novel cellular senescence-associated lncRNAs predictive signature (CS-ALPS) consisting of 6 lncRNAS (AC026355.1, AL365181.2, AF131215.5, C20orf197, GAS6-AS1, GSEC). According to the median of the risk score, 480 samples were divided into high-risk and low-risk groups. Furthermore, the clinicopathological and biological functions, immune characteristics and common drug sensitivity were analyzed between two risk groups. In conclusion, the CS-ALPS can independently forecast the prognosis of LUAD, which reveals the potential molecular mechanism of cellular senescence-associated lncRNAs, and provides appropriate strategies for the clinical treatment of patients with LUAD.

Suggested Citation

  • Anbang Liu & Xiaohuai Wang & Liu Hu & Dongqing Yan & Yin Yin & Hongjie Zheng & Gengqiu Liu & Junhang Zhang & Yun Li, 2023. "A predictive molecular signature consisting of lncRNAs associated with cellular senescence for the prognosis of lung adenocarcinoma," PLOS ONE, Public Library of Science, vol. 18(6), pages 1-19, June.
    • Handle: RePEc:plo:pone00:0287132
    DOI: 10.1371/journal.pone.0287132
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