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Distinct Genomic Aberrations between Low-Grade and High-Grade Gliomas of Chinese Patients

BACKGROUND: Glioma is a type of tumor that develops in the central nerve system, mainly the brain. Alterations of genomic sequence and sequence segments (such as copy number variations or CNV and copy neutral loss of heterozygosities or cnLOH) are thought to be a major determinant of the tumor grade...

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Autores principales: Li, Yunbo, Wang, Dapeng, Wang, Lei, Yu, Jinhai, Du, Danhua, Chen, Ye, Gao, Peng, Wang, Duen-Mei, Yu, Jun, Zhang, Feng, Fu, Shuanglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3579804/
https://www.ncbi.nlm.nih.gov/pubmed/23451178
http://dx.doi.org/10.1371/journal.pone.0057168
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author Li, Yunbo
Wang, Dapeng
Wang, Lei
Yu, Jinhai
Du, Danhua
Chen, Ye
Gao, Peng
Wang, Duen-Mei
Yu, Jun
Zhang, Feng
Fu, Shuanglin
author_facet Li, Yunbo
Wang, Dapeng
Wang, Lei
Yu, Jinhai
Du, Danhua
Chen, Ye
Gao, Peng
Wang, Duen-Mei
Yu, Jun
Zhang, Feng
Fu, Shuanglin
author_sort Li, Yunbo
collection PubMed
description BACKGROUND: Glioma is a type of tumor that develops in the central nerve system, mainly the brain. Alterations of genomic sequence and sequence segments (such as copy number variations or CNV and copy neutral loss of heterozygosities or cnLOH) are thought to be a major determinant of the tumor grade. METHODS: We mapped genomic variations between low-grade and high-grade gliomas (LGG and HGG) in Chinese population based on Illumina’s Beadchip and validated the results using real-time qPCR. RESULTS: At the cytoband level, we discovered: (1) unique losses in LGG on 5q, 8p and 11q, and in HGG on 6q, 11p, 13q and 19q; (2) unique gains in the LGG on 1p and in HGG at 5p, 7p, 7q and 20q; and (3) cnLOH in HGG only on 3q, 8q, 10p, 14q, 15q, 17p, 17q, 18q and 21q. Subsequently, we confirmed well-characterized oncogenes among tumor-related loci (such as EGFR and KIT) and detected novel genes that gained chromosome sequences (such as AASS, HYAL4, NDUFA5 and SPAM1) in both LGG and HGG. In addition, we found gains, losses, and cnLOH in several genes, including VN1R2, VN1R4, and ZNF677, in multiple samples. Mapping grade-associated pathways and their related gene ontology (GO) terms, we classified LGG-associated functions as “arachidonic acid metabolism”, “DNA binding” and “regulation of DNA-dependent transcription” and the HGG-associated as “neuroactive ligand-receptor interaction”, “neuronal cell body” and “defense response to bacterium”. CONCLUSION: LGG and HGG appear to have different molecular signatures in genomic variations and our results provide invaluable information for the diagnosis and treatment of gliomas in patients with variable duration or diverse tumor differentiation.
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spelling pubmed-35798042013-02-28 Distinct Genomic Aberrations between Low-Grade and High-Grade Gliomas of Chinese Patients Li, Yunbo Wang, Dapeng Wang, Lei Yu, Jinhai Du, Danhua Chen, Ye Gao, Peng Wang, Duen-Mei Yu, Jun Zhang, Feng Fu, Shuanglin PLoS One Research Article BACKGROUND: Glioma is a type of tumor that develops in the central nerve system, mainly the brain. Alterations of genomic sequence and sequence segments (such as copy number variations or CNV and copy neutral loss of heterozygosities or cnLOH) are thought to be a major determinant of the tumor grade. METHODS: We mapped genomic variations between low-grade and high-grade gliomas (LGG and HGG) in Chinese population based on Illumina’s Beadchip and validated the results using real-time qPCR. RESULTS: At the cytoband level, we discovered: (1) unique losses in LGG on 5q, 8p and 11q, and in HGG on 6q, 11p, 13q and 19q; (2) unique gains in the LGG on 1p and in HGG at 5p, 7p, 7q and 20q; and (3) cnLOH in HGG only on 3q, 8q, 10p, 14q, 15q, 17p, 17q, 18q and 21q. Subsequently, we confirmed well-characterized oncogenes among tumor-related loci (such as EGFR and KIT) and detected novel genes that gained chromosome sequences (such as AASS, HYAL4, NDUFA5 and SPAM1) in both LGG and HGG. In addition, we found gains, losses, and cnLOH in several genes, including VN1R2, VN1R4, and ZNF677, in multiple samples. Mapping grade-associated pathways and their related gene ontology (GO) terms, we classified LGG-associated functions as “arachidonic acid metabolism”, “DNA binding” and “regulation of DNA-dependent transcription” and the HGG-associated as “neuroactive ligand-receptor interaction”, “neuronal cell body” and “defense response to bacterium”. CONCLUSION: LGG and HGG appear to have different molecular signatures in genomic variations and our results provide invaluable information for the diagnosis and treatment of gliomas in patients with variable duration or diverse tumor differentiation. Public Library of Science 2013-02-22 /pmc/articles/PMC3579804/ /pubmed/23451178 http://dx.doi.org/10.1371/journal.pone.0057168 Text en © 2013 Li et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Li, Yunbo
Wang, Dapeng
Wang, Lei
Yu, Jinhai
Du, Danhua
Chen, Ye
Gao, Peng
Wang, Duen-Mei
Yu, Jun
Zhang, Feng
Fu, Shuanglin
Distinct Genomic Aberrations between Low-Grade and High-Grade Gliomas of Chinese Patients
title Distinct Genomic Aberrations between Low-Grade and High-Grade Gliomas of Chinese Patients
title_full Distinct Genomic Aberrations between Low-Grade and High-Grade Gliomas of Chinese Patients
title_fullStr Distinct Genomic Aberrations between Low-Grade and High-Grade Gliomas of Chinese Patients
title_full_unstemmed Distinct Genomic Aberrations between Low-Grade and High-Grade Gliomas of Chinese Patients
title_short Distinct Genomic Aberrations between Low-Grade and High-Grade Gliomas of Chinese Patients
title_sort distinct genomic aberrations between low-grade and high-grade gliomas of chinese patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3579804/
https://www.ncbi.nlm.nih.gov/pubmed/23451178
http://dx.doi.org/10.1371/journal.pone.0057168
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