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Article: Long non-coding RNA expression profiles predict clinical phenotypes in glioma

TitleLong non-coding RNA expression profiles predict clinical phenotypes in glioma
Authors
KeywordsAstrocytoma
Glioma
LncRNA profiling
Malignancy
Oligodendroglioma
Issue Date2012
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynbdi
Citation
Neurobiology Of Disease, 2012, v. 48 n. 1, p. 1-8 How to Cite?
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.
Persistent Identifierhttp://hdl.handle.net/10722/159949
ISSN
2015 Impact Factor: 4.856
2015 SCImago Journal Rankings: 2.875
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorZhang, Xen_HK
dc.contributor.authorSun, Sen_HK
dc.contributor.authorPu, JKSen_HK
dc.contributor.authorTsang, ACOen_HK
dc.contributor.authorLee, Den_HK
dc.contributor.authorMan, VOYen_HK
dc.contributor.authorLui, WMen_HK
dc.contributor.authorWong, STSen_HK
dc.contributor.authorLeung, GKKen_HK
dc.date.accessioned2012-08-16T05:59:43Z-
dc.date.available2012-08-16T05:59:43Z-
dc.date.issued2012en_HK
dc.identifier.citationNeurobiology Of Disease, 2012, v. 48 n. 1, p. 1-8en_HK
dc.identifier.issn0969-9961en_HK
dc.identifier.urihttp://hdl.handle.net/10722/159949-
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.en_HK
dc.languageengen_US
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynbdien_HK
dc.relation.ispartofNeurobiology of Diseaseen_HK
dc.subjectAstrocytomaen_HK
dc.subjectGliomaen_HK
dc.subjectLncRNA profilingen_HK
dc.subjectMalignancyen_HK
dc.subjectOligodendrogliomaen_HK
dc.titleLong non-coding RNA expression profiles predict clinical phenotypes in gliomaen_HK
dc.typeArticleen_HK
dc.identifier.emailLeung, GKK: gilberto@hkucc.hku.hken_HK
dc.identifier.authorityLeung, GKK=rp00522en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.nbd.2012.06.004en_HK
dc.identifier.pmid22709987-
dc.identifier.scopuseid_2-s2.0-84863708888en_HK
dc.identifier.hkuros204723en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84863708888&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume48en_HK
dc.identifier.issue1en_HK
dc.identifier.spage1en_HK
dc.identifier.epage8en_HK
dc.identifier.isiWOS:000307694400001-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridZhang, X=52264807800en_HK
dc.identifier.scopusauthoridSun, S=21740136100en_HK
dc.identifier.scopusauthoridPu, JKS=35094475800en_HK
dc.identifier.scopusauthoridTsang, ACO=55309220400en_HK
dc.identifier.scopusauthoridLee, D=55274356000en_HK
dc.identifier.scopusauthoridMan, VOY=55307808900en_HK
dc.identifier.scopusauthoridLui, WM=55273995200en_HK
dc.identifier.scopusauthoridWong, STS=55308773700en_HK
dc.identifier.scopusauthoridLeung, GKK=35965118200en_HK
dc.identifier.citeulike10819090-

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