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Mutation-Derived Long Noncoding RNA Signature Predicts Survival in Lung Adenocarcinoma
BACKGROUND: Genomic 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 lncRN...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965709/ https://www.ncbi.nlm.nih.gov/pubmed/35372012 http://dx.doi.org/10.3389/fonc.2022.780631 |
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author | Yang, Longjun Guo, Guangran Yu, Xiangyang Wen, Yingsheng Lin, Yongbin Zhang, Rusi Zhao, Dechang Huang, Zirui Wang, Gongming Yan, Yan Zhang, Xuewen Chen, Dongtai Xing, Wei Wang, Weidong Zeng, Weian Zhang, Lanjun |
author_facet | Yang, Longjun Guo, Guangran Yu, Xiangyang Wen, Yingsheng Lin, Yongbin Zhang, Rusi Zhao, Dechang Huang, Zirui Wang, Gongming Yan, Yan Zhang, Xuewen Chen, Dongtai Xing, Wei Wang, Weidong Zeng, Weian Zhang, Lanjun |
author_sort | Yang, Longjun |
collection | PubMed |
description | BACKGROUND: Genomic 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. METHODS: Lung 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. RESULTS: Through 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. CONCLUSIONS: By 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. |
format | Online Article Text |
id | pubmed-8965709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89657092022-03-31 Mutation-Derived Long Noncoding RNA Signature Predicts Survival in Lung Adenocarcinoma Yang, Longjun Guo, Guangran Yu, Xiangyang Wen, Yingsheng Lin, Yongbin Zhang, Rusi Zhao, Dechang Huang, Zirui Wang, Gongming Yan, Yan Zhang, Xuewen Chen, Dongtai Xing, Wei Wang, Weidong Zeng, Weian Zhang, Lanjun Front Oncol Oncology BACKGROUND: Genomic 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. METHODS: Lung 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. RESULTS: Through 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. CONCLUSIONS: By 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. Frontiers Media S.A. 2022-03-15 /pmc/articles/PMC8965709/ /pubmed/35372012 http://dx.doi.org/10.3389/fonc.2022.780631 Text en Copyright © 2022 Yang, Guo, Yu, Wen, Lin, Zhang, Zhao, Huang, Wang, Yan, Zhang, Chen, Xing, Wang, Zeng and Zhang https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Yang, Longjun Guo, Guangran Yu, Xiangyang Wen, Yingsheng Lin, Yongbin Zhang, Rusi Zhao, Dechang Huang, Zirui Wang, Gongming Yan, Yan Zhang, Xuewen Chen, Dongtai Xing, Wei Wang, Weidong Zeng, Weian Zhang, Lanjun Mutation-Derived Long Noncoding RNA Signature Predicts Survival in Lung Adenocarcinoma |
title | Mutation-Derived Long Noncoding RNA Signature Predicts Survival in Lung Adenocarcinoma |
title_full | Mutation-Derived Long Noncoding RNA Signature Predicts Survival in Lung Adenocarcinoma |
title_fullStr | Mutation-Derived Long Noncoding RNA Signature Predicts Survival in Lung Adenocarcinoma |
title_full_unstemmed | Mutation-Derived Long Noncoding RNA Signature Predicts Survival in Lung Adenocarcinoma |
title_short | Mutation-Derived Long Noncoding RNA Signature Predicts Survival in Lung Adenocarcinoma |
title_sort | mutation-derived long noncoding rna signature predicts survival in lung adenocarcinoma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965709/ https://www.ncbi.nlm.nih.gov/pubmed/35372012 http://dx.doi.org/10.3389/fonc.2022.780631 |
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