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Article: A long non-coding RNA signature in glioblastoma multiforme predicts survival

TitleA long non-coding RNA signature in glioblastoma multiforme predicts survival
Authors
Issue Date2013
Citation
Neurobiology of disease, 2013 How to Cite?
AbstractLong non-coding RNAs (lncRNAs) represent the leading edge of cancer research, and have been implicated in cancer biogenesis and prognosis. We aimed to identify lncRNA signatures that have prognostic values in glioblastoma multiforme (GBM). Using a lncRNA-mining approach, we performed lncRNA expression profiling in 213 GBM tumors from The Cancer Genome Atlas (TCGA), randomly divided into a training (n=107) and a testing set (n=106). We analyzed the associations between lncRNA signatures and clinical outcome in the training set, and validated the findings in the testing set. We also validated the identified lncRNA signature in another two independent GBM data sets from Gene Expression Omnibus (GEO), which contained specimens from 68 and 101 patients, respectively. We identified a set of six lncRNAs that were significantly associated with the overall survival in the training set (P≤0.01). Based on this six-lncRNA signature, the training-set patients could be classified into high-risk and low-risk subgroups with significantly different survival (HR=2.13, 95% CI=1.38-3.29; P=0.001). The prognostic value of this six-lncRNA signature was confirmed in the testing set and the two independent data sets. Further analysis revealed that the prognostic value of this signature was independent of age and O-6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status. The identification of the prognostic lncRNAs indicates the potential roles of lncRNAs in GBM pathogenesis. This six-lncRNA signature may have clinical implications in the subclassification of GBM.
Persistent Identifierhttp://hdl.handle.net/10722/183827
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, Xen_US
dc.contributor.authorSun, Sen_US
dc.contributor.authorLam, KFen_US
dc.contributor.authorKiang, KMYen_US
dc.contributor.authorPu, JKSen_US
dc.contributor.authorHo, SWAen_US
dc.contributor.authorLui, WMen_US
dc.contributor.authorFung, CFen_US
dc.contributor.authorWong, STSen_US
dc.contributor.authorLeung, GKKen_US
dc.date.accessioned2013-06-18T04:18:59Z-
dc.date.available2013-06-18T04:18:59Z-
dc.date.issued2013en_US
dc.identifier.citationNeurobiology of disease, 2013en_US
dc.identifier.urihttp://hdl.handle.net/10722/183827-
dc.description.abstractLong non-coding RNAs (lncRNAs) represent the leading edge of cancer research, and have been implicated in cancer biogenesis and prognosis. We aimed to identify lncRNA signatures that have prognostic values in glioblastoma multiforme (GBM). Using a lncRNA-mining approach, we performed lncRNA expression profiling in 213 GBM tumors from The Cancer Genome Atlas (TCGA), randomly divided into a training (n=107) and a testing set (n=106). We analyzed the associations between lncRNA signatures and clinical outcome in the training set, and validated the findings in the testing set. We also validated the identified lncRNA signature in another two independent GBM data sets from Gene Expression Omnibus (GEO), which contained specimens from 68 and 101 patients, respectively. We identified a set of six lncRNAs that were significantly associated with the overall survival in the training set (P≤0.01). Based on this six-lncRNA signature, the training-set patients could be classified into high-risk and low-risk subgroups with significantly different survival (HR=2.13, 95% CI=1.38-3.29; P=0.001). The prognostic value of this six-lncRNA signature was confirmed in the testing set and the two independent data sets. Further analysis revealed that the prognostic value of this signature was independent of age and O-6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status. The identification of the prognostic lncRNAs indicates the potential roles of lncRNAs in GBM pathogenesis. This six-lncRNA signature may have clinical implications in the subclassification of GBM.-
dc.languageengen_US
dc.relation.ispartofNeurobiology of diseaseen_US
dc.titleA long non-coding RNA signature in glioblastoma multiforme predicts survivalen_US
dc.typeArticleen_US
dc.identifier.emailSun, S: ssun@hku.hken_US
dc.identifier.emailLam, KF: hrntlkf@hkucc.hku.hken_US
dc.identifier.emailKiang, KMY: mykiang@hku.hken_US
dc.identifier.emailHo, SWA: hoswa@hku.hken_US
dc.identifier.emailLui, WM: mattlui@hku.hken_US
dc.identifier.emailFung, CF: cffung@hkucc.hku.hken_US
dc.identifier.emailWong, STS: thiansze@graduate.hku.hken_US
dc.identifier.emailLeung, GKK: gilberto@hkucc.hku.hken_US
dc.identifier.authorityLam, KF=rp00718en_US
dc.identifier.authorityWong, STS=rp00478en_US
dc.identifier.authorityLeung, GKK=rp00522en_US
dc.identifier.doi10.1016/j.nbd.2013.05.011-
dc.identifier.pmid23726844-
dc.identifier.scopuseid_2-s2.0-84879424212-
dc.identifier.hkuros214778en_US
dc.identifier.isiWOS:000323585900015-

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