Aim: An increasing number of biomarkers of primary glioblastoma (GBM) have recently been described. We aimed to investigate the biological and clinical factors that affect survival in Turkish patients with primary GBM.
Material And Methods: The clinical and demographic data of all patients with primary GBM diagnosed between 2007 and 2016 were evaluated. In all the patients? pathological specimens, O6 methylguanine-DNA methyltransferase (MGMT) methylation and isocitrate dehydrogenase (IDH) 1 mutation were detected retrospectively by immunohistochemistry. Kaplan-Meier survival analysis, log-rank test, and multivariate analyses of the Cox hazard proportional model for all the variables were performed using the SPSS statistical package. The treatment details and other patient-related factors were identified, and their correlations were analyzed.
Results: We enrolled 137 primary GBM patients to the study. Median progression free survival (PFS) was 8.57 months (95% CI:6.8-9.5) and median overall survival (OS) was 12 months (95% CI:10.8-13.3). IDH-1 mutations were detected in 21 primary GBMs (15.3%). PFS was 15.43 ± 1.95 months. Survival rates were higher, but no statistically significant difference (p=0.074). MGMT methylation was detected in 40 primary GBMs (29.2%). OS and PFS of MGMT (+) cases were higher than MGMT(-) cases (p=0.001; p=0.001 respectively). Ki67 (%) measurement (10%-90%) average is 32.64 ± 16.56. No statistically significant between higher and lower ki67 levels (p=0.510, p=0.505 respectively). KPS (%) more than 70 at the time of diagnosis statistically significant longer median OS and PFS (p=0.001). PFS and OS were higher in all treatment modalities.
Conclusion: The most important factors that affected survival were performance score, MGMT methylation status, systemic oncologic therapy, and IDH mutation in the Turkish population with primary GBM. We demonstrated that MGMT methylation and higher KPS levels were associated with significiantly longer OS and PFS.
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http://dx.doi.org/10.5137/1019-5149.JTN.33332-20.3 | DOI Listing |
Sci Rep
January 2025
Department of Electrical Electronical Engineering, Yaşar University, Bornova, İzmir, Turkey.
We aimed to build a robust classifier for the MGMT methylation status of glioblastoma in multiparametric MRI. We focused on multi-habitat deep image descriptors as our basic focus. A subset of the BRATS 2021 MGMT methylation dataset containing both MGMT class labels and segmentation masks was used.
View Article and Find Full Text PDFBioengineering (Basel)
December 2024
Department of Pathology, University of Yamanashi, Yamanashi 409-3898, Japan.
The latest World Health Organization (WHO) classification of central nervous system tumors (WHO2021/5th) has incorporated molecular information into the diagnosis of each brain tumor type including diffuse glioma. Therefore, an artificial intelligence (AI) framework for learning histological patterns and predicting important genetic events would be useful for future studies and applications. Using the concept of multiple-instance learning, we developed an AI framework named GLioma Image-level and Slide-level gene Predictor (GLISP) to predict nine genetic abnormalities in hematoxylin and eosin sections: , , mutations, promoter mutations, homozygous deletion (CHD), amplification (amp), 7 gain/10 loss (7+/10-), 1p/19q co-deletion, and promoter methylation.
View Article and Find Full Text PDFAJNR Am J Neuroradiol
January 2025
From the Department of Neuroradiology (G.B., N.H., F.D.v.D., A.B., Z.K.), University Hospital Zürich, Zürich, Switzerland.
Background And Purpose: Whether differences in the O-methylguanine-DNA methyltransferase () promoter methylation status of glioblastoma (GBM) are reflected in MRI markers remains largely unknown. In this work, we analyze the ADC in the perienhancing infiltration zone of GBM according to the corresponding status by using a novel distance-resolved 3D evaluation.
Materials And Methods: One hundred one patients with wild-type GBM were retrospectively analyzed.
Mol Biol Rep
January 2025
Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India.
Background: Differential DNA methylation in the promoter region of tumour suppressor genes leads to gene function silencing.
Materials And Methods: In this study, we aimed to evaluate the salivary promoter methylation of EDNRB, MGMT and TIMP3 genes in H&NC patients (n = 100), premalignant lesions patients (n = 25) and healthy controls (n = 50). Blood and saliva samples were collected from all three groups and 20 concomitant tumour tissues were collected from the H&NC patients.
Strahlenther Onkol
January 2025
Department of Radiation Oncology, University Hospital of Muenster, Albert-Schweitzer-Campus 1, Building A1, 48149, Muenster, Germany.
Purpose: While glioblastoma is the most common malignant brain tumor in adults, extracerebral manifestations are very rare in this highly aggressive disease with poor prognosis.
Methods: We conducted a systematic literature review in the PubMed database and complemented the data by inclusion of a case treated in our clinic. In this context, we report on a 60-year-old woman with a right frontal glioblastoma, IDH wildtype, MGMT methylated.
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