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Article: Long non-coding RNA expression profiles predict clinical phenotypes in glioma
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TitleLong non-coding RNA expression profiles predict clinical phenotypes in glioma
 
AuthorsZhang, X1
Sun, S1
Pu, JKS1
Tsang, ACO1
Lee, D1
Man, VOY1
Lui, WM1
Wong, STS1
Leung, GKK1
 
KeywordsAstrocytoma
Glioma
LncRNA profiling
Malignancy
Oligodendroglioma
 
Issue Date2012
 
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynbdi
 
CitationNeurobiology Of Disease, 2012, v. 48 n. 1, p. 1-8 [How to Cite?]
DOI: http://dx.doi.org/10.1016/j.nbd.2012.06.004
 
AbstractGlioma is the commonest form of primary brain tumor in adults with varying malignancy grades and histological subtypes. Long non-coding RNAs (lncRNAs) are a novel class of non-protein-coding transcripts that have been shown to play important roles in cancer development. To discover novel tumor-related lncRNAs and determine their associations with glioma subtypes, we first applied a lncRNA classification pipeline to identify 1970 lncRNAs that were represented on Affymetrix HG-U133 Plus 2.0 array. We then analyzed the lncRNA expression patterns in a set of previously published glioma gene expression profiles of 268 clinical specimens, and identified sets of lncRNAs that were unique to different histological subtypes (astrocytic versus oligodendroglial tumors) and malignancy grades. These lncRNAs signatures were then subject to validation in another non-overlapping, independent data set that contained 157 glioma samples. This is the first reported study that correlates lncRNA expression profiles with malignancy grade and histological differentiation in human gliomas. Our findings indicate the potential roles of lncRNAs in the biogenesis, development and differentiation of gliomas, and provide an important platform for future studies. © 2012 Elsevier Inc.
 
ISSN0969-9961
2012 Impact Factor: 5.624
2012 SCImago Journal Rankings: 2.334
 
DOIhttp://dx.doi.org/10.1016/j.nbd.2012.06.004
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorZhang, X
 
dc.contributor.authorSun, S
 
dc.contributor.authorPu, JKS
 
dc.contributor.authorTsang, ACO
 
dc.contributor.authorLee, D
 
dc.contributor.authorMan, VOY
 
dc.contributor.authorLui, WM
 
dc.contributor.authorWong, STS
 
dc.contributor.authorLeung, GKK
 
dc.date.accessioned2012-08-16T05:59:43Z
 
dc.date.available2012-08-16T05:59:43Z
 
dc.date.issued2012
 
dc.description.abstractGlioma is the commonest form of primary brain tumor in adults with varying malignancy grades and histological subtypes. Long non-coding RNAs (lncRNAs) are a novel class of non-protein-coding transcripts that have been shown to play important roles in cancer development. To discover novel tumor-related lncRNAs and determine their associations with glioma subtypes, we first applied a lncRNA classification pipeline to identify 1970 lncRNAs that were represented on Affymetrix HG-U133 Plus 2.0 array. We then analyzed the lncRNA expression patterns in a set of previously published glioma gene expression profiles of 268 clinical specimens, and identified sets of lncRNAs that were unique to different histological subtypes (astrocytic versus oligodendroglial tumors) and malignancy grades. These lncRNAs signatures were then subject to validation in another non-overlapping, independent data set that contained 157 glioma samples. This is the first reported study that correlates lncRNA expression profiles with malignancy grade and histological differentiation in human gliomas. Our findings indicate the potential roles of lncRNAs in the biogenesis, development and differentiation of gliomas, and provide an important platform for future studies. © 2012 Elsevier Inc.
 
dc.description.natureLink_to_subscribed_fulltext
 
dc.identifier.citationNeurobiology Of Disease, 2012, v. 48 n. 1, p. 1-8 [How to Cite?]
DOI: http://dx.doi.org/10.1016/j.nbd.2012.06.004
 
dc.identifier.citeulike10819090
 
dc.identifier.doihttp://dx.doi.org/10.1016/j.nbd.2012.06.004
 
dc.identifier.epage8
 
dc.identifier.hkuros204723
 
dc.identifier.issn0969-9961
2012 Impact Factor: 5.624
2012 SCImago Journal Rankings: 2.334
 
dc.identifier.issue1
 
dc.identifier.pmid22709987
 
dc.identifier.scopuseid_2-s2.0-84863708888
 
dc.identifier.spage1
 
dc.identifier.urihttp://hdl.handle.net/10722/159949
 
dc.identifier.volume48
 
dc.languageeng
 
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynbdi
 
dc.publisher.placeUnited States
 
dc.relation.ispartofNeurobiology of Disease
 
dc.relation.referencesReferences in Scopus
 
dc.subjectAstrocytoma
 
dc.subjectGlioma
 
dc.subjectLncRNA profiling
 
dc.subjectMalignancy
 
dc.subjectOligodendroglioma
 
dc.titleLong non-coding RNA expression profiles predict clinical phenotypes in glioma
 
dc.typeArticle
 
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Author Affiliations
  1. The University of Hong Kong Li Ka Shing Faculty of Medicine