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Gene Expression Profiling in Human High-Grade Astrocytomas
Diffuse astrocytoma of (WHO grade II) has a tendency to progress spontaneously to anaplastic astrocytoma (WHO grade III) and/or glioblastoma (WHO grade IV). However, the molecular basis of astrocytoma progression is still poorly understood. In current study, an essential initial step toward this goa...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3151497/ https://www.ncbi.nlm.nih.gov/pubmed/21836821 http://dx.doi.org/10.1155/2011/245137 |
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author | Liu, Zhongyu Yao, Zhiqiang Li, Chao Lu, Yicheng Gao, Chunfang |
author_facet | Liu, Zhongyu Yao, Zhiqiang Li, Chao Lu, Yicheng Gao, Chunfang |
author_sort | Liu, Zhongyu |
collection | PubMed |
description | Diffuse astrocytoma of (WHO grade II) has a tendency to progress spontaneously to anaplastic astrocytoma (WHO grade III) and/or glioblastoma (WHO grade IV). However, the molecular basis of astrocytoma progression is still poorly understood. In current study, an essential initial step toward this goal is the establishment of the taxonomy of tumors on the basis of their gene expression profiles. We have used gene expression profiling, unsupervised (hierarchal cluster (HCL) and principal component analysis (PCA)) and supervised (prediction analysis for microarrays (PAM)) learning methods, to demonstrate the presence of three distinct gene expression signatures of astrocytomas (ACMs), which correspond to diffuse or low-grade astrocytoma (WHO grade II), Anaplastic astrocytoma (WHO grade III) and Glioblastoma multiforme (WHO grade IV). We also demonstrate a 171 gene-based classifier that characterize the distinction between these pathologic/molecular subsets of astrocytomas. These results further define molecular subtypes of astrocytomas and may potentially be used to define potential targets and further refine stratification approaches for therapy. In addition, this study demonstrates that combining gene expression analysis with detailed annotated pathway and gene ontology (GO) category resources was applied to highly enriched normal and tumor population; it can yield an understanding of the critical biological mechanism of astrocytomas. |
format | Online Article Text |
id | pubmed-3151497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-31514972011-08-11 Gene Expression Profiling in Human High-Grade Astrocytomas Liu, Zhongyu Yao, Zhiqiang Li, Chao Lu, Yicheng Gao, Chunfang Comp Funct Genomics Research Article Diffuse astrocytoma of (WHO grade II) has a tendency to progress spontaneously to anaplastic astrocytoma (WHO grade III) and/or glioblastoma (WHO grade IV). However, the molecular basis of astrocytoma progression is still poorly understood. In current study, an essential initial step toward this goal is the establishment of the taxonomy of tumors on the basis of their gene expression profiles. We have used gene expression profiling, unsupervised (hierarchal cluster (HCL) and principal component analysis (PCA)) and supervised (prediction analysis for microarrays (PAM)) learning methods, to demonstrate the presence of three distinct gene expression signatures of astrocytomas (ACMs), which correspond to diffuse or low-grade astrocytoma (WHO grade II), Anaplastic astrocytoma (WHO grade III) and Glioblastoma multiforme (WHO grade IV). We also demonstrate a 171 gene-based classifier that characterize the distinction between these pathologic/molecular subsets of astrocytomas. These results further define molecular subtypes of astrocytomas and may potentially be used to define potential targets and further refine stratification approaches for therapy. In addition, this study demonstrates that combining gene expression analysis with detailed annotated pathway and gene ontology (GO) category resources was applied to highly enriched normal and tumor population; it can yield an understanding of the critical biological mechanism of astrocytomas. Hindawi Publishing Corporation 2011 2011-08-07 /pmc/articles/PMC3151497/ /pubmed/21836821 http://dx.doi.org/10.1155/2011/245137 Text en Copyright © 2011 Zhongyu Liu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Liu, Zhongyu Yao, Zhiqiang Li, Chao Lu, Yicheng Gao, Chunfang Gene Expression Profiling in Human High-Grade Astrocytomas |
title | Gene Expression Profiling in Human High-Grade Astrocytomas |
title_full | Gene Expression Profiling in Human High-Grade Astrocytomas |
title_fullStr | Gene Expression Profiling in Human High-Grade Astrocytomas |
title_full_unstemmed | Gene Expression Profiling in Human High-Grade Astrocytomas |
title_short | Gene Expression Profiling in Human High-Grade Astrocytomas |
title_sort | gene expression profiling in human high-grade astrocytomas |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3151497/ https://www.ncbi.nlm.nih.gov/pubmed/21836821 http://dx.doi.org/10.1155/2011/245137 |
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