Scientific Reports (Jun 2024)

A genomic instability-associated lncRNA signature for predicting prognosis and biomarkers in lung adenocarcinoma

  • Chunxuan Lin,
  • Kunpeng Lin,
  • Pan Li,
  • Hai Yuan,
  • Xiaochun Lin,
  • Yong Dai,
  • Yingying Zhang,
  • Zhijun Xie,
  • Taisheng Liu,
  • Chenggong Wei

DOI
https://doi.org/10.1038/s41598-024-65327-3
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 13

Abstract

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Abstract Genomic instability (GI) was associated with tumorigenesis. However, GI-related lncRNA signature (GILncSig) in lung adenocarcinoma (LUAD) is still unknown. In this study, the lncRNA expression data, somatic mutation information and clinical survival information of LUAD were downloaded from The Cancer Genome Atlas (TCGA) and performed differential analysis. Functional and prognosis analysis revealed that multiple GI-related pathways were enriched. By using univariate and multivariate Cox regression analysis, 5 GI-associated lncRNAs (AC012085.2, FAM83A-AS1, MIR223HG, MIR193BHG, LINC01116) were identified and used to construct a GILncSig model. Mutation burden analysis indicated that the high-risk GI group had much higher somatic mutation count and the risk score constructed by the 5 GI-associated lncRNAs was an independent predictor for overall survival (OS) (P < 0.05). Overall, our study provides valuable insights into the involvement of GI-associated lncRNAs in LUAD and highlights their potential as therapeutic targets.

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