Evidence map›Paper›PMID 42867718›Full record

ReviewJournal of neuro-oncology2026

MGMT promoter methylation as a molecular biomarker in neuro-oncology: current practices, challenges, and future directions.

Truman J Do, Shameel Shafqat, Sani H Kizilbash, Cristiane M Ida

Abstract readReview
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In one paragraph

Review in Journal of neuro-oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Truman J Do *Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street, SW Rochester, Rochester, MN, 55905, USA.ORCID http://orcid.org/0000-0002-4285-1773
Shameel Shafqat *Comprehensive Cancer Center, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-7617-3678
Sani H KizilbashDepartment of Medical Oncology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-8568-1519
Cristiane M IdaDepartment of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street, SW Rochester, Rochester, MN, 55905, USA. Ida.Cristiane@mayo.edu.ORCID https://orcid.org/0000-0003-2768-2913

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMGMT promoter methylation (MGMTpm) is a well-established molecular biomarker in neuro-oncology. We review current practices, challenges, and future directions for MGMTpm as a biomarker in central nervous system (CNS) tumors.

methodsThe literature on MGMT function, and MGMTpm clinical significance and testing in CNS tumors was reviewed.

resultsWe discuss the biological role of MGMT in DNA repair and the mechanisms by which MGMTpm leads to increased tumor sensitivity to alkylating agents. We summarize the clinical significance of MGMTpm in glioblastoma and its emerging relevance in other CNS tumors. Testing practices using methylation-specific PCR, pyrosequencing, and genome-wide methylation array-based approaches are discussed, along with challenges related to testing variability and "gray-zone" methylation, and emerging technologies such as nanopore sequencing.

conclusionsDespite ongoing technical and interpretative challenges, MGMTpm remains a robust and clinically valuable biomarker in neuro-oncology.

Indexed as

Biomarkers, TumorCentral Nervous System NeoplasmsDNA MethylationDNA Modification MethylasesDNA Repair EnzymesPromoter Regions, GeneticTumor Suppressor ProteinsHumansBiomarkers, TumorDNA Modification MethylasesDNA Repair EnzymesMGMT protein, humanTumor Suppressor ProteinsGlioblastomaMethylation arrayPCRPyrosequencingTemozolomide

Identifiers

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.