Literature DB >> 26738845

Expression and prognostic value of the WEE1 kinase in gliomas.

Darija Music1, Rikke Hedegaard Dahlrot1,2, Simon Kjær Hermansen1,3, Jacob Hjelmborg4, Karin de Stricker1, Steinbjørn Hansen2,3, Bjarne Winther Kristensen5,6.   

Abstract

High-grade gliomas have an aggressive clinical course and new clinical biomarkers and therapeutic targets are highly needed. WEE1 is a regulator of the G2 checkpoint in glioblastoma (GBM) cells. Inhibition of this kinase has, in experimental glioma studies, been suggested to enhance sensitivity to irradiation and temozolomide. However, expression level and prognostic potential of WEE1 protein in gliomas remain uninvestigated. In this study, glioma samples from 235 patients across all four WHO grades were analyzed by immunohistochemistry. Using image analysis, we calculated the area fraction of WEE1 positive nuclei. We found that WEE1 protein was localized in tumor cell nuclei and expressed in all glioma types and grades. Although WEE1 protein levels are higher in GBMs (mean 24.5%) relative to grade III (mean 14,0%, p < 0.05) and grade II (mean 6.8%, p < 0.001) gliomas, high WEE1 protein was associated with better survival in GBMs (p = 0.002). This was confirmed in multivariate analysis (HR 0.60, p = 0.003) even when adjusted for MGMT status (HR 0.60, p = 0.005). In conclusion, we report a nuclear expression of WEE1 protein in all glioma grades and types. The WEE1 positive nuclear area was correlated with malignancy grade but it was inversely associated with prognosis in GBM. Although WEE1 is a frequently occurring protein and has been proposed as a novel target in GBM, the role of WEE1 in glioma patient survival appears to be connected to the MGMT status and is more complex than previously anticipated.

Entities:  

Keywords:  Biomarker; Glioblastoma; Glioma; Immunohistochemistry; Prognosis; WEE1

Mesh:

Substances:

Year:  2016        PMID: 26738845     DOI: 10.1007/s11060-015-2050-4

Source DB:  PubMed          Journal:  J Neurooncol        ISSN: 0167-594X            Impact factor:   4.130


  28 in total

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Journal:  J Neurooncol       Date:  2013-09-21       Impact factor: 4.130

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6.  Targeting radiation-induced G(2) checkpoint activation with the Wee-1 inhibitor MK-1775 in glioblastoma cell lines.

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7.  Effects of radiotherapy with concomitant and adjuvant temozolomide versus radiotherapy alone on survival in glioblastoma in a randomised phase III study: 5-year analysis of the EORTC-NCIC trial.

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8.  A population-based study of low-grade gliomas and mutated isocitrate dehydrogenase 1 (IDH1).

Authors:  Rikke H Dahlrot; Bjarne W Kristensen; Jacob Hjelmborg; Jørn Herrstedt; Steinbjørn Hansen
Journal:  J Neurooncol       Date:  2013-07-02       Impact factor: 4.130

9.  MiR-21 expression in the tumor cell compartment holds unfavorable prognostic value in gliomas.

Authors:  Simon Kjær Hermansen; Rikke Hedegaard Dahlrot; Boye Schnack Nielsen; Steinbjørn Hansen; Bjarne Winther Kristensen
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Journal:  PLoS One       Date:  2009-04-09       Impact factor: 3.240

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Journal:  ChemMedChem       Date:  2018-07-11       Impact factor: 3.466

Review 2.  Synthetic Lethality through the Lens of Medicinal Chemistry.

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3.  Whole-Genome Expression Microarray Combined with Machine Learning to Identify Prognostic Biomarkers for High-Grade Glioma.

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Review 4.  Expression, prognostic significance and therapeutic implications of PD-L1 in gliomas.

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5.  Posttreatment Effect of MGMT Methylation Level on Glioblastoma Survival.

Authors:  Rikke H Dahlrot; Pia Larsen; Henning B Boldt; Melissa S Kreutzfeldt; Steinbjørn Hansen; Jacob B Hjelmborg; Bjarne Winther Kristensen
Journal:  J Neuropathol Exp Neurol       Date:  2019-07-01       Impact factor: 3.685

6.  WTAP Expression Predicts Poor Prognosis in Malignant Glioma Patients.

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7.  APNG as a prognostic marker in patients with glioblastoma.

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9.  Evaluation of the proliferation marker Ki-67 in gliomas: Interobserver variability and digital quantification.

Authors:  Ljudmilla A G Nielsen; Julie A Bangsø; Kim H Lindahl; Rikke H Dahlrot; Jacob V B Hjelmborg; Steinbjørn Hansen; Bjarne W Kristensen
Journal:  Diagn Pathol       Date:  2018-06-09       Impact factor: 2.644

10.  KLF11 Expression Predicts Poor Prognosis in Glioma Patients.

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