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Whole Genome Sequencing Identifies Key Genes in Spinal Schwannoma
Spinal schwannoma is the most common primary spinal tumor but its genomic landscape and underlying mechanism driving its initiation remain elusive. The aim of the present study was to gain further insights into the molecular mechanisms of this kind of tumor through whole genome sequencing of nine sp...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661748/ https://www.ncbi.nlm.nih.gov/pubmed/33193598 http://dx.doi.org/10.3389/fgene.2020.507816 |
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author | Gao, Xin Zhang, Li Jia, Qi Tang, Liang Guo, Wen Wang, Tao Wu, Zheyu Zhou, Wang Li, Zhenxi Xiao, Jianru |
author_facet | Gao, Xin Zhang, Li Jia, Qi Tang, Liang Guo, Wen Wang, Tao Wu, Zheyu Zhou, Wang Li, Zhenxi Xiao, Jianru |
author_sort | Gao, Xin |
collection | PubMed |
description | Spinal schwannoma is the most common primary spinal tumor but its genomic landscape and underlying mechanism driving its initiation remain elusive. The aim of the present study was to gain further insights into the molecular mechanisms of this kind of tumor through whole genome sequencing of nine spinal schwannomas and paired blood samples. The results showed that ATM, CHD4, FAT1, KMT2D, MED12, NF2, and SUFU were the most frequently mutated cancer-related genes. In addition, the somatic copy number alterations (CNA) was potentially associated with spinal schwannoma, among which NF2 was found to be frequently deleted in schwannoma samples. Only a few genes were located within the amplified regions. In contrast, the deleted regions in 15q15.1 and 7q36.1 contained most of these genes. With respect to tumorigenesis, NF2 had the highest variant allele frequency (VAF) than other genes, and homozygous deletion was observed in NF1, NF2, and CDKN2C. Pathway-level analysis suggested that Hippo signaling pathway may be a critical pathway controlling the initiation of spinal schwannoma. Collectively, this systematic analysis of DNA sequencing data revealed that some key genes including NF1, NF2, and CDKN2C and Hippo signaling pathway were associated with spinal schwannoma, which may help improve our understanding about the genomic landscape of spinal schwannoma. |
format | Online Article Text |
id | pubmed-7661748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76617482020-11-13 Whole Genome Sequencing Identifies Key Genes in Spinal Schwannoma Gao, Xin Zhang, Li Jia, Qi Tang, Liang Guo, Wen Wang, Tao Wu, Zheyu Zhou, Wang Li, Zhenxi Xiao, Jianru Front Genet Genetics Spinal schwannoma is the most common primary spinal tumor but its genomic landscape and underlying mechanism driving its initiation remain elusive. The aim of the present study was to gain further insights into the molecular mechanisms of this kind of tumor through whole genome sequencing of nine spinal schwannomas and paired blood samples. The results showed that ATM, CHD4, FAT1, KMT2D, MED12, NF2, and SUFU were the most frequently mutated cancer-related genes. In addition, the somatic copy number alterations (CNA) was potentially associated with spinal schwannoma, among which NF2 was found to be frequently deleted in schwannoma samples. Only a few genes were located within the amplified regions. In contrast, the deleted regions in 15q15.1 and 7q36.1 contained most of these genes. With respect to tumorigenesis, NF2 had the highest variant allele frequency (VAF) than other genes, and homozygous deletion was observed in NF1, NF2, and CDKN2C. Pathway-level analysis suggested that Hippo signaling pathway may be a critical pathway controlling the initiation of spinal schwannoma. Collectively, this systematic analysis of DNA sequencing data revealed that some key genes including NF1, NF2, and CDKN2C and Hippo signaling pathway were associated with spinal schwannoma, which may help improve our understanding about the genomic landscape of spinal schwannoma. Frontiers Media S.A. 2020-10-30 /pmc/articles/PMC7661748/ /pubmed/33193598 http://dx.doi.org/10.3389/fgene.2020.507816 Text en Copyright © 2020 Gao, Zhang, Jia, Tang, Guo, Wang, Wu, Zhou, Li and Xiao. http://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 | Genetics Gao, Xin Zhang, Li Jia, Qi Tang, Liang Guo, Wen Wang, Tao Wu, Zheyu Zhou, Wang Li, Zhenxi Xiao, Jianru Whole Genome Sequencing Identifies Key Genes in Spinal Schwannoma |
title | Whole Genome Sequencing Identifies Key Genes in Spinal Schwannoma |
title_full | Whole Genome Sequencing Identifies Key Genes in Spinal Schwannoma |
title_fullStr | Whole Genome Sequencing Identifies Key Genes in Spinal Schwannoma |
title_full_unstemmed | Whole Genome Sequencing Identifies Key Genes in Spinal Schwannoma |
title_short | Whole Genome Sequencing Identifies Key Genes in Spinal Schwannoma |
title_sort | whole genome sequencing identifies key genes in spinal schwannoma |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661748/ https://www.ncbi.nlm.nih.gov/pubmed/33193598 http://dx.doi.org/10.3389/fgene.2020.507816 |
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