Evidence map›Paper›PMID 41116956›Full record

ArticleCureus2025

An Integrative Analysis of O6-Methylguanine-DNA Methyltransferase (MGMT) Methylation and the Single-Nucleotide Polymorphism (SNP) rs1625649 Reveals Distinct Survival Patterns in Glioblastoma: A Retrospective Study.

Krachi Agarwal, Shivanjali Raghuvanshi, Shalini Bhalla, Snehkiran Raghuvanshi, Alok Singh, Ajay Singh, B K Ojha

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Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Krachi AgarwalPathology, King George's Medical University, Lucknow, IND.
Shivanjali RaghuvanshiPathology, King George's Medical University, Lucknow, IND.
Shalini BhallaPathology, King George's Medical University, Lucknow, IND.
Snehkiran RaghuvanshiProsthodontics and Crown and Bridge, King George's Medical University, Lucknow, IND.
Alok SinghPathology, King George's Medical University, Lucknow, IND.
Ajay SinghPathology, King George's Medical University, Lucknow, IND.
B K OjhaNeurosurgery, King George's Medical University, Lucknow, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation is an established predictive and prognostic biomarker in glioblastoma (GBM). However, the influence of MGMT promoter single-nucleotide polymorphisms (SNPs), particularly rs1625649, on gene expression and patient outcomes remains unclear. This study evaluated the prognostic impact of MGMT methylation and SNP rs1625649 in GBM patients. Methods This retrospective analytical study included 66 histologically confirmed GBM patients (IDH1 R132H-negative), treated at a tertiary care center from 2018 to 2022. MGMT methylation was assessed using methylation-specific PCR, and SNP rs1625649 genotyping was performed by PCR-restriction fragment length polymorphism (PCR-RFLP). Survival analyses were conducted using Kaplan-Meier and Cox proportional hazards models. Key clinical variables, including age, Karnofsky performance status (KPS), extent of resection, and treatment data, were analyzed. Results MGMT promoter methylation was present in 56.1% of cases and was significantly associated with longer overall survival (OS: 86.4 days (≈2.9 months) vs. 35.0 days (≈1.2 months); p < 0.001). The SNP rs1625649 AA genotype was observed in 15.2% of patients and was associated with prolonged OS (130.8 days) compared to CA (64.2 days) and CC (47.0 days) (p = 0.002). Among methylated cases, the AA genotype conferred superior survival (160.7 days; p = 0.009). Multivariate Cox analysis confirmed MGMT methylation (HR = 0.46; p = 0.005) and the rs1625649 AA genotype (HR = 0.41; p = 0.040) as independent prognostic factors. Conclusion MGMT promoter methylation and the SNP rs1625649 AA genotype are independently associated with improved survival in GBM. These findings highlight the potential prognostic utility of incorporating MGMT SNP genotyping alongside methylation status in clinical practice. Further large-scale studies are warranted to validate these results.

Indexed as

glioblastomamgmt promoter methylationprognostic biomarkersnp rs1625649survival analysistemozolomide resistance

Identifiers

PMID41116956
PMCPMC12535659

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