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
2011 Impact Factor: 5.403
2011 SCImago Journal Rankings: 0.506
DOIhttp://dx.doi.org/10.1016/j.nbd.2012.06.004
ReferencesReferences in Scopus
DC Field
Value
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
2011 Impact Factor: 5.403
2011 SCImago Journal Rankings: 0.506
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
Author Affiliations
  1. The University of Hong Kong Li Ka Shing Faculty of Medicine