Frontiers in Oncology (Mar 2022)

Mutation-Derived Long Noncoding RNA Signature Predicts Survival in Lung Adenocarcinoma

  • Longjun Yang,
  • Longjun Yang,
  • Guangran Guo,
  • Guangran Guo,
  • Xiangyang Yu,
  • Yingsheng Wen,
  • Yingsheng Wen,
  • Yongbin Lin,
  • Yongbin Lin,
  • Rusi Zhang,
  • Rusi Zhang,
  • Dechang Zhao,
  • Dechang Zhao,
  • Zirui Huang,
  • Zirui Huang,
  • Gongming Wang,
  • Gongming Wang,
  • Yan Yan,
  • Yan Yan,
  • Xuewen Zhang,
  • Xuewen Zhang,
  • Dongtai Chen,
  • Dongtai Chen,
  • Wei Xing,
  • Wei Xing,
  • Weidong Wang,
  • Weian Zeng,
  • Weian Zeng,
  • Lanjun Zhang,
  • Lanjun Zhang

DOI
https://doi.org/10.3389/fonc.2022.780631
Journal volume & issue
Vol. 12

Abstract

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BackgroundGenomic instability is one of the representative features of cancer evolution. Recent research has revealed that long noncoding RNAs (lncRNAs) play a critical role in maintaining genomic instability. Our work proposed a gene signature (GILncSig) based on genomic instability-derived lncRNAs to probe the possibility of lncRNA signatures as an index of genomic instability, providing a potential new approach to identify genomic instability-related cancer biomarkers.MethodsLung adenocarcinoma (LUAD) gene expression data from an RNA-seq FPKM dataset, somatic mutation information and relevant clinical materials were downloaded from The Cancer Genome Atlas (TCGA). A prognostic model consisting of genomic instability-related lncRNAs was constructed, termed GILncSig, to calculate the risk score. We validated GILncSig using data from the Gene Expression Omnibus (GEO) database. In this study, we used R software for data analysis.ResultsThrough univariate and multivariate Cox regression analyses, five genomic instability-associated lncRNAs (LINC01671, LINC01116, LINC01214, lncRNA PTCSC3, and LINC02555) were identified. We constructed a lncRNA signature (GILncSig) related to genomic instability. LUAD patients were classified into two risk groups by GILncSig. The results showed that the survival rate of LUAD patients in the low-risk group was higher than that of those in the high-risk group. Then, we verified GILncSig in the GEO database. GILncSig was associated with the genomic mutation rate of LUAD. We also used GILncSig to divide TP53 mutant-type patients and TP53 wild-type patients into two groups and performed prognostic analysis. The results suggested that compared with TP53 mutation status, GILncSig may have better prognostic significance.ConclusionsBy combining the lncRNA expression profiles associated with somatic mutations and the corresponding clinical characteristics of LUAD, a lncRNA signature (GILncSig) related to genomic instability was established.

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