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Transcriptomic Landscape of Lower Grade Glioma Based on Age-Related Non-Silent Somatic Mutations
Glioma accounts for 80% of all malignant brain tumours and is the most common adult primary brain tumour. Age is an important factor affecting the development of cancer, as somatic mutations accumulate with age. Here, we aimed to analyse the significance of age-dependent non-silent somatic mutations...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293196/ https://www.ncbi.nlm.nih.gov/pubmed/34205437 http://dx.doi.org/10.3390/curroncol28030210 |
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author | Park, YoungJoon Park, JeongMan Ahn, Ju Won Sim, Jeong Min Kang, Su Jung Kim, Suwan Hwang, So Jung Han, Song-Hee Sung, Kyoung Su Lim, Jaejoon |
author_facet | Park, YoungJoon Park, JeongMan Ahn, Ju Won Sim, Jeong Min Kang, Su Jung Kim, Suwan Hwang, So Jung Han, Song-Hee Sung, Kyoung Su Lim, Jaejoon |
author_sort | Park, YoungJoon |
collection | PubMed |
description | Glioma accounts for 80% of all malignant brain tumours and is the most common adult primary brain tumour. Age is an important factor affecting the development of cancer, as somatic mutations accumulate with age. Here, we aimed to analyse the significance of age-dependent non-silent somatic mutations in glioma prognosis. Histological tumour grade depends on age at diagnosis in patients with IDH1, TP53, ATRX, and EGFR mutations. Age of patients with wild-type IDH1 and EGFR increased with increase in tumour grade, while the age of patients with IDH1 or EGFR mutation remained constant. However, the age of patients with EGFR mutation was higher than that of patients with IDH1 mutation. The hierarchical clustering of patients was dominantly separated by IDH1 and EGFR mutations. Furthermore, patients with IDH1 mutation were dominantly separated by TP53 and ATRX double mutation and its double wild-type counterpart. The age of patients with ATRX and TP53 mutation was lower than that of patients with wild-type ATRX and TP53. Patients with the double mutation showed poorer prognosis than those with the double wild type genotype. Unlike IDH1 mutant, IDH1 wild-type showed upregulation of expression of epithelial mesenchymal transition associated genes. |
format | Online Article Text |
id | pubmed-8293196 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82931962021-07-22 Transcriptomic Landscape of Lower Grade Glioma Based on Age-Related Non-Silent Somatic Mutations Park, YoungJoon Park, JeongMan Ahn, Ju Won Sim, Jeong Min Kang, Su Jung Kim, Suwan Hwang, So Jung Han, Song-Hee Sung, Kyoung Su Lim, Jaejoon Curr Oncol Article Glioma accounts for 80% of all malignant brain tumours and is the most common adult primary brain tumour. Age is an important factor affecting the development of cancer, as somatic mutations accumulate with age. Here, we aimed to analyse the significance of age-dependent non-silent somatic mutations in glioma prognosis. Histological tumour grade depends on age at diagnosis in patients with IDH1, TP53, ATRX, and EGFR mutations. Age of patients with wild-type IDH1 and EGFR increased with increase in tumour grade, while the age of patients with IDH1 or EGFR mutation remained constant. However, the age of patients with EGFR mutation was higher than that of patients with IDH1 mutation. The hierarchical clustering of patients was dominantly separated by IDH1 and EGFR mutations. Furthermore, patients with IDH1 mutation were dominantly separated by TP53 and ATRX double mutation and its double wild-type counterpart. The age of patients with ATRX and TP53 mutation was lower than that of patients with wild-type ATRX and TP53. Patients with the double mutation showed poorer prognosis than those with the double wild type genotype. Unlike IDH1 mutant, IDH1 wild-type showed upregulation of expression of epithelial mesenchymal transition associated genes. MDPI 2021-06-19 /pmc/articles/PMC8293196/ /pubmed/34205437 http://dx.doi.org/10.3390/curroncol28030210 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Park, YoungJoon Park, JeongMan Ahn, Ju Won Sim, Jeong Min Kang, Su Jung Kim, Suwan Hwang, So Jung Han, Song-Hee Sung, Kyoung Su Lim, Jaejoon Transcriptomic Landscape of Lower Grade Glioma Based on Age-Related Non-Silent Somatic Mutations |
title | Transcriptomic Landscape of Lower Grade Glioma Based on Age-Related Non-Silent Somatic Mutations |
title_full | Transcriptomic Landscape of Lower Grade Glioma Based on Age-Related Non-Silent Somatic Mutations |
title_fullStr | Transcriptomic Landscape of Lower Grade Glioma Based on Age-Related Non-Silent Somatic Mutations |
title_full_unstemmed | Transcriptomic Landscape of Lower Grade Glioma Based on Age-Related Non-Silent Somatic Mutations |
title_short | Transcriptomic Landscape of Lower Grade Glioma Based on Age-Related Non-Silent Somatic Mutations |
title_sort | transcriptomic landscape of lower grade glioma based on age-related non-silent somatic mutations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293196/ https://www.ncbi.nlm.nih.gov/pubmed/34205437 http://dx.doi.org/10.3390/curroncol28030210 |
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