File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Analysis of IDH mutation, 1p/19q deletion, and PTEN loss delineates prognosis in clinical low-grade diffuse gliomas

TitleAnalysis of IDH mutation, 1p/19q deletion, and PTEN loss delineates prognosis in clinical low-grade diffuse gliomas
Authors
Keywordsoverall survival
mutations
progression free rate
IDH
low grade glioma
Issue Date2014
Citation
Neuro-Oncology, 2014, v. 16, n. 7, p. 914-923 How to Cite?
AbstractBackground Grades II and III gliomas have unpredictable rates of progression, making management decisions difficult. Currently, several clinical and radiological characteristics are utilized to predict progression and survival but collectively are suboptimal. Methods In this study, we analyzed a set of 108 nonenhancing hemispheric grade II-III gliomas. Demographic variables, including patient age, tumor diameter, extent of resection, and performance status, were combined with molecular data (IDH mutation status [mIDH-, 1p/19q codeletion, PTEN deletion, and EGFR amplification). A complete dataset for all variables was compiled for 70 of the 108 patients. Both univariable and multivariable analyses were performed to determine whether the molecular data singly or in combination offer advantages over tumor type and grade for prediction of overall survival (OS) and/or progression-free rate (PFR). Results Patient age, clinical variables (tumor diameter, extent of resection, performance status), and pathology (tumor type and grade) were not predictive of OS or PFR. IDH mutation status alone was predictive of longer OS and PFR for the entire group of tumors; 1p/19q deletion alone was predictive of OS but not PFR. In the multivariable analysis, none of the clinical or demographic factors were predictive of OS or PFR. IDH mutation status, 1p/19q codeletion, and PTEN deletion were predictive of OS (P =. 003, P =. 005, P =. 02, respectively). Both mIDH (P <. 001) and the interaction term of 1p/19q and PTEN (P <. 001) were found to be predictive of PFR. Conclusions We conclude that the combination of mIDH, 1p/19q codeletion, and PTEN deletion may be particularly effective in discriminating good prognosis from poor prognosis hemispheric gliomas. We propose that such a scheme merits testing on larger prospective cohorts. Should our findings be confirmed, routine clinical analysis of hemispheric gliomas for mIDH, 1p/19q codeletion, and PTEN deletion would be justified.
Persistent Identifierhttp://hdl.handle.net/10722/292830
ISSN
2023 Impact Factor: 16.4
2023 SCImago Journal Rankings: 6.348
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorSabha, Nesrin-
dc.contributor.authorKnobbe, Christiane B.-
dc.contributor.authorMaganti, Majula-
dc.contributor.authorAl Omar, Soha-
dc.contributor.authorBernstein, Mark-
dc.contributor.authorCairns, Rob-
dc.contributor.authorÇako, Besmira-
dc.contributor.authorVon Deimling, Andreas-
dc.contributor.authorCapper, David-
dc.contributor.authorMak, Tak W.-
dc.contributor.authorKiehl, Tim Rasmus-
dc.contributor.authorCarvalho, Philippe-
dc.contributor.authorGarrett, Evelyn-
dc.contributor.authorPerry, Arie-
dc.contributor.authorZadeh, Gelareh-
dc.contributor.authorGuha, Abhijit-
dc.contributor.authorCroul, Sidney-
dc.date.accessioned2020-11-17T14:57:18Z-
dc.date.available2020-11-17T14:57:18Z-
dc.date.issued2014-
dc.identifier.citationNeuro-Oncology, 2014, v. 16, n. 7, p. 914-923-
dc.identifier.issn1522-8517-
dc.identifier.urihttp://hdl.handle.net/10722/292830-
dc.description.abstractBackground Grades II and III gliomas have unpredictable rates of progression, making management decisions difficult. Currently, several clinical and radiological characteristics are utilized to predict progression and survival but collectively are suboptimal. Methods In this study, we analyzed a set of 108 nonenhancing hemispheric grade II-III gliomas. Demographic variables, including patient age, tumor diameter, extent of resection, and performance status, were combined with molecular data (IDH mutation status [mIDH-, 1p/19q codeletion, PTEN deletion, and EGFR amplification). A complete dataset for all variables was compiled for 70 of the 108 patients. Both univariable and multivariable analyses were performed to determine whether the molecular data singly or in combination offer advantages over tumor type and grade for prediction of overall survival (OS) and/or progression-free rate (PFR). Results Patient age, clinical variables (tumor diameter, extent of resection, performance status), and pathology (tumor type and grade) were not predictive of OS or PFR. IDH mutation status alone was predictive of longer OS and PFR for the entire group of tumors; 1p/19q deletion alone was predictive of OS but not PFR. In the multivariable analysis, none of the clinical or demographic factors were predictive of OS or PFR. IDH mutation status, 1p/19q codeletion, and PTEN deletion were predictive of OS (P =. 003, P =. 005, P =. 02, respectively). Both mIDH (P <. 001) and the interaction term of 1p/19q and PTEN (P <. 001) were found to be predictive of PFR. Conclusions We conclude that the combination of mIDH, 1p/19q codeletion, and PTEN deletion may be particularly effective in discriminating good prognosis from poor prognosis hemispheric gliomas. We propose that such a scheme merits testing on larger prospective cohorts. Should our findings be confirmed, routine clinical analysis of hemispheric gliomas for mIDH, 1p/19q codeletion, and PTEN deletion would be justified.-
dc.languageeng-
dc.relation.ispartofNeuro-Oncology-
dc.subjectoverall survival-
dc.subjectmutations-
dc.subjectprogression free rate-
dc.subjectIDH-
dc.subjectlow grade glioma-
dc.titleAnalysis of IDH mutation, 1p/19q deletion, and PTEN loss delineates prognosis in clinical low-grade diffuse gliomas-
dc.typeArticle-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1093/neuonc/not299-
dc.identifier.pmid24470545-
dc.identifier.pmcidPMC4057130-
dc.identifier.scopuseid_2-s2.0-84902500037-
dc.identifier.volume16-
dc.identifier.issue7-
dc.identifier.spage914-
dc.identifier.epage923-
dc.identifier.eissn1523-5866-
dc.identifier.isiWOS:000338126100003-
dc.identifier.issnl1522-8517-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats