ArticleJournal of neuro-oncology2018
Defining a prognostic score based on O6-methylguanine-DNA methyltransferase cut-off methylation level determined by pyrosequencing in patients with glioblastoma multiforme.
Article in Journal of neuro-oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 10 citations in OpenAlex.
- Quantitative DNA melting analysis with hybridization probes (qDMA-HP) as a novel approach to assess MGMT promoter methylation in malignant glioma.Journal of neuro-oncology · 2026Article
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- Association betweenCells · 2023Article
- Combining MGMT promoter pyrosequencing and protein expression to optimize prognosis stratification in glioblastoma.Cancer science · 2021Article
- Identifying the optimal cutoff point for MGMT promoter methylation status in glioblastoma.CNS oncology · 2021Article
- Distinguishing Pseudoprogression From True Early Progression in Isocitrate Dehydrogenase Wild-Type Glioblastoma by Interrogating Clinical, Radiological, and Molecular Features.Frontiers in oncology · 2021Article
- The Impact ofMedicina (Kaunas, Lithuania) · 2019Article
- Familial glioblastoma clustering in adult patients: a case report of two non-twin siblings and review of the literature.International medical case reports journal · 2019Article
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeEpigenetic variations in the O6-methylguanine-methyltransferase gene had been widely associated with a favorable impact on survival in patients affected by glioblastoma multiforme (GBM). Aim of this study is to explore a scoring system based on the gene promoter methylation in order to predict patients' prognosis.
methodsA series of 128 patients with GBM was retrospectively analyzed. A training set and a validations set were then generated. The methylation level of CpGi from 74 to 83 was determined by pyrosequencing. In accordance to previous literature, each island was assigned with 1 point if the corresponding methylation level was higher than 9%. The sum consisted in a score that went from 0 (all CpGi < 9%) to 10 (all CpGi ≥ 9%). A threshold capable to detect a favorable outcome (overall survival, OS > 24 months) was identified by ROC analysis.
resultsMedian OS and follow-up were 14 and 32.6 months respectively. Among the total population, 35% of the pts had a score of 0, while 29% had a score of 10. A score ≥ 6 was associated with a favorable prognosis also when corrected for age (> 70 vs. ≤ 70 years) and ECOG performance status (0-1 vs. 2-3). Similar results were observed also in terms of PFS. Results were consistent in the training and in the validation set.
conclusionsThe present manuscript explored a novel scoring system capable to take into consideration the methylation status of each single CpGi, capable to better predict prognosis in GBM patients.
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