Molecular classification of diffuse gliomas

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dc.contributor.authorJakovlevs, Arvids
dc.contributor.authorVanags, Andrejs
dc.contributor.authorGardovskis, Janis
dc.contributor.authorStrumfa, Ilze
dc.contributor.institutionDepartment of Pathology
dc.contributor.institutionDepartment of Surgery
dc.date.accessioned2021-05-07T11:05:01Z
dc.date.available2021-05-07T11:05:01Z
dc.date.issued2019
dc.descriptionPublisher Copyright: © 2019, Termedia Publishing House Ltd.. All rights reserved.
dc.description.abstractIn this study we assessed whether gliomas could be subdivided into different molecular subtypes by immunohistochemistry (IHC) reminiscent of those first described by Verhaak et al. in 2010 (classical, proneural, mesenchymal and neural). We also evaluated the prognostic significance of single molecular factors and searched for significant correlations between markers. In this study, we included 146 patients with glioblastomas (GBMs) and 26 with diffuse astrocytomas (DAs). The glioma samples were tested for PDGFRA, IDH1 R132H, CD44, p53, Ki-67, p21 and p27 expression. We found that gliomas could be subdivided into molecular subtypes by IHC. Fifty per cent of GBMs were of the proneural subtype, 18.5% of mesenchymal subtype and 31.5% were not otherwise classified. However, most of the DAs (92.3%) belonged to the proneural subtype. No prognostic role was found for the molecular subtypes, but predictive roles were noted. Both proneural and mesenchymal molecular subtypes showed a benefit from the addition of chemotherapy and radiotherapy; however, the mesenchymal subtype showed a greater response. Interestingly, the mesenchymal subtype did not receive any benefit from the addition of radiotherapy compared with palliative management and surgery alone. Regarding single molecular markers, only IDH1 R132H was found to have a prognostic role for GBMs. There was a trend towards better survival in tumours with lower PDGFRA expression (p = 0.066). In DAs, PDGFRA and Ki-67 expression had prognostic roles. The following statistically significant correlations were found in GBMs: Ki-67/p53, Ki-67/p27 and p53/PDGFRA; in DAs: p53/ PDGFRA, CD44/PDGFRA, and p21/PDGFRA.en
dc.description.statusPeer reviewed
dc.format.extent13
dc.format.extent4948991
dc.identifier.citationJakovlevs, A, Vanags, A, Gardovskis, J & Strumfa, I 2019, 'Molecular classification of diffuse gliomas', Polish Journal of Pathology, vol. 70, no. 4, pp. 246-258. https://doi.org/10.5114/pjp.2019.93126
dc.identifier.doi10.5114/pjp.2019.93126
dc.identifier.issn1233-9687
dc.identifier.urihttps://dspace.rsu.lv/jspui/handle/123456789/4127
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85081241807&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofPolish Journal of Pathology
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectGlioblastoma
dc.subjectGliomas
dc.subjectImmunohistochemistry
dc.subjectMolecular subtypes
dc.subjectSurvival
dc.subject3.1 Basic medicine
dc.subject3.2 Clinical medicine
dc.subject1.1. Scientific article indexed in Web of Science and/or Scopus database
dc.subjectPathology and Forensic Medicine
dc.titleMolecular classification of diffuse gliomasen
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article

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