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Molecular Subtyping and Prognostic Assessment Based on Tumor Mutation Burden in Patients with Lung Adenocarcinomas
The distinct molecular subtypes of lung cancer are defined by monogenic biomarkers, such as EGFR, KRAS, and ALK rearrangement. Tumor mutation burden (TMB) is a potential biomarker for response to immunotherapy, which is one of the measures for genomic instability. The molecular subtyping based on TM...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747282/ https://www.ncbi.nlm.nih.gov/pubmed/31480292 http://dx.doi.org/10.3390/ijms20174251 |
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author | Wang, Changzheng Liang, Han Lin, Cong Li, Fuqiang Xie, Guoyun Qiao, Sitan Shi, Xulian Deng, Jianlian Zhao, Xin Wu, Kui Zhang, Xiuqing |
author_facet | Wang, Changzheng Liang, Han Lin, Cong Li, Fuqiang Xie, Guoyun Qiao, Sitan Shi, Xulian Deng, Jianlian Zhao, Xin Wu, Kui Zhang, Xiuqing |
author_sort | Wang, Changzheng |
collection | PubMed |
description | The distinct molecular subtypes of lung cancer are defined by monogenic biomarkers, such as EGFR, KRAS, and ALK rearrangement. Tumor mutation burden (TMB) is a potential biomarker for response to immunotherapy, which is one of the measures for genomic instability. The molecular subtyping based on TMB has not been well characterized in lung adenocarcinomas in the Chinese population. Here we performed molecular subtyping based on TMB with the published whole exome sequencing data of 101 lung adenocarcinomas and compared the different features of the classified subtypes, including clinical features, somatic driver genes, and mutational signatures. We found that patients with lower TMB have a longer disease-free survival, and higher TMB is associated with smoking and aging. Analysis of somatic driver genes and mutational signatures demonstrates a significant association between somatic RYR2 mutations and the subtype with higher TMB. Molecular subtyping based on TMB is a potential prognostic marker for lung adenocarcinoma. Signature 4 and the mutation of RYR2 are highlighted in the TMB-High group. The mutation of RYR2 is a significant biomarker associated with high TMB in lung adenocarcinoma. |
format | Online Article Text |
id | pubmed-6747282 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67472822019-09-27 Molecular Subtyping and Prognostic Assessment Based on Tumor Mutation Burden in Patients with Lung Adenocarcinomas Wang, Changzheng Liang, Han Lin, Cong Li, Fuqiang Xie, Guoyun Qiao, Sitan Shi, Xulian Deng, Jianlian Zhao, Xin Wu, Kui Zhang, Xiuqing Int J Mol Sci Article The distinct molecular subtypes of lung cancer are defined by monogenic biomarkers, such as EGFR, KRAS, and ALK rearrangement. Tumor mutation burden (TMB) is a potential biomarker for response to immunotherapy, which is one of the measures for genomic instability. The molecular subtyping based on TMB has not been well characterized in lung adenocarcinomas in the Chinese population. Here we performed molecular subtyping based on TMB with the published whole exome sequencing data of 101 lung adenocarcinomas and compared the different features of the classified subtypes, including clinical features, somatic driver genes, and mutational signatures. We found that patients with lower TMB have a longer disease-free survival, and higher TMB is associated with smoking and aging. Analysis of somatic driver genes and mutational signatures demonstrates a significant association between somatic RYR2 mutations and the subtype with higher TMB. Molecular subtyping based on TMB is a potential prognostic marker for lung adenocarcinoma. Signature 4 and the mutation of RYR2 are highlighted in the TMB-High group. The mutation of RYR2 is a significant biomarker associated with high TMB in lung adenocarcinoma. MDPI 2019-08-30 /pmc/articles/PMC6747282/ /pubmed/31480292 http://dx.doi.org/10.3390/ijms20174251 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Changzheng Liang, Han Lin, Cong Li, Fuqiang Xie, Guoyun Qiao, Sitan Shi, Xulian Deng, Jianlian Zhao, Xin Wu, Kui Zhang, Xiuqing Molecular Subtyping and Prognostic Assessment Based on Tumor Mutation Burden in Patients with Lung Adenocarcinomas |
title | Molecular Subtyping and Prognostic Assessment Based on Tumor Mutation Burden in Patients with Lung Adenocarcinomas |
title_full | Molecular Subtyping and Prognostic Assessment Based on Tumor Mutation Burden in Patients with Lung Adenocarcinomas |
title_fullStr | Molecular Subtyping and Prognostic Assessment Based on Tumor Mutation Burden in Patients with Lung Adenocarcinomas |
title_full_unstemmed | Molecular Subtyping and Prognostic Assessment Based on Tumor Mutation Burden in Patients with Lung Adenocarcinomas |
title_short | Molecular Subtyping and Prognostic Assessment Based on Tumor Mutation Burden in Patients with Lung Adenocarcinomas |
title_sort | molecular subtyping and prognostic assessment based on tumor mutation burden in patients with lung adenocarcinomas |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6747282/ https://www.ncbi.nlm.nih.gov/pubmed/31480292 http://dx.doi.org/10.3390/ijms20174251 |
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