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基于年龄相关非沉默性体细胞突变的低级别胶质瘤转录组景观。

Transcriptomic Landscape of Lower Grade Glioma Based on Age-Related Non-Silent Somatic Mutations.

机构信息

Institute Department of Biomedical Science, College of Life Science, CHA University, Seongnam 13488, Korea.

Department of Neurosurgery, Bundang CHA Medical Center, CHA University College of Medicine, Seongnam 13496, Korea.

出版信息

Curr Oncol. 2021 Jun 19;28(3):2281-2295. doi: 10.3390/curroncol28030210.

DOI:10.3390/curroncol28030210
PMID:34205437
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8293196/
Abstract

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 , , , and mutations. Age of patients with wild-type and increased with increase in tumour grade, while the age of patients with or mutation remained constant. However, the age of patients with mutation was higher than that of patients with mutation. The hierarchical clustering of patients was dominantly separated by and mutations. Furthermore, patients with mutation were dominantly separated by and double mutation and its double wild-type counterpart. The age of patients with and mutation was lower than that of patients with wild-type and . Patients with the double mutation showed poorer prognosis than those with the double wild type genotype. Unlike mutant, wild-type showed upregulation of expression of epithelial mesenchymal transition associated genes.

摘要

神经胶质瘤占所有恶性脑肿瘤的 80%,是最常见的成人原发性脑肿瘤。年龄是影响癌症发展的一个重要因素,因为体细胞突变随着年龄的增长而积累。在这里,我们旨在分析年龄相关的非沉默性体细胞突变对神经胶质瘤预后的意义。在 、 、 、 和 突变的患者中,组织学肿瘤分级取决于诊断时的年龄。野生型 和 突变患者的年龄随肿瘤分级的增加而增加,而 或 突变患者的年龄保持不变。然而, 突变患者的年龄高于 突变患者。患者的层次聚类主要通过 和 突变来区分。此外, 突变患者主要通过 和 双重突变及其双重野生型对应物来区分。 和 突变患者的年龄低于野生型 和 的患者。双突变患者的预后比双野生型基因型患者差。与 突变不同, 野生型表现出上皮间质转化相关基因表达的上调。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/8293196/9e837441d734/curroncol-28-00210-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/8293196/f5889fcafaa1/curroncol-28-00210-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/8293196/68e49418d4ea/curroncol-28-00210-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/8293196/7a16a27ed446/curroncol-28-00210-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/8293196/ec3abc16fbe0/curroncol-28-00210-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/8293196/359329d7332e/curroncol-28-00210-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/8293196/3b7998c3ea09/curroncol-28-00210-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/8293196/9e837441d734/curroncol-28-00210-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/8293196/f5889fcafaa1/curroncol-28-00210-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/8293196/7357fc0cb186/curroncol-28-00210-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/8293196/68e49418d4ea/curroncol-28-00210-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/8293196/7a16a27ed446/curroncol-28-00210-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/8293196/ec3abc16fbe0/curroncol-28-00210-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/8293196/359329d7332e/curroncol-28-00210-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/8293196/3b7998c3ea09/curroncol-28-00210-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3698/8293196/9e837441d734/curroncol-28-00210-g008.jpg

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