Dynamic susceptibility contrast‑enhanced perfusion magnetic resonance imaging parameters for predicting <i>MGMT</i> promoter methylation and prognostic value in newly diagnosed patients with glioblastoma

O6-methylguanine DNA methyltransferase <i>(MGMT)</i> promoter methylation is an important clinical biomarker of newly diagnosed glioblastoma. Previous radiological studies using dynamic susceptibility contrast (DSC) magnetic resonance imaging (MRI) perfusion have aimed to predict <i>MGMT</i> methylation status non-invasively in gliomas with radiological characteristics. The possibility of predicting <i>MGMT</i> methylation status using DSC-MRI perfusion with a radiological approach remains controversial. The present study aimed to evaluate the usefulness of MRI perfusion parameters as non-invasive markers to predict <i>MGMT</i> methylation status and prognosis in newly diagnosed glioblastoma patients. Thus, 50 patients with histologically confirmed primary glioblastoma, <i>IDH</i>-wildtype who underwent tumor resection at Osaka University Hospital (Suita, Japan) between January 2017 and January 2023 were included in this study. The mean cerebral blood volume (CBV) ratio (rCBV) and cerebral blood flow (CBF) ratio (rCBF) for tumors with <i>MGMT</i> methylation (mean rCBV:2.09 and mean rCBF:3.08) were significantly higher compared with those for tumors without <i>MGMT</i> methylation (mean rCBV:1.33 and mean rCBF:1.85; P<0.05). While patients with <i>MGMT</i> methylation had longer progression-free survival (PFS) compared with those without <i>MGMT</i> methylation (P<0.05), there was no significant difference in OS with or without <i>MGMT</i> methylation (P=0.06). By contrast, there was no association between MRI perfusion parameters and OS or PFS in patients with glioblastoma. Furthermore, the association between CBV, CBF, <i>MGMT</i> promotor methylation status, OS, and PFS were explored. There was no significant prognostic difference between low vascularity tumors (rCBV <1.3 or rCBF <1.8) with or without <i>MGMT</i> methylation. On the other hand, high vascularity tumors (rCBF ≥1.8) with <i>MGMT</i> promotor methylation were associated to longer OS and PFS compared with those without. However, there was no association between <i>MGMT</i> methylation status and OS or PFS in patients with high rCBV (rCBV ≥1.3). The present study indicated that CBV and CBF could be used to predict the <i>MGMT</i> methylation status in glioblastomas. However, the prognostic value of tumor vascularity and <i>MGMT</i> methylation status may be limited.

Authors

Institutions

Publication Details

Journal
Oncology Letters
Published
2024-10-14
DOI
https://doi.org/10.3892/ol.2024.14741
Citations
2
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.88

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic susceptibility contrast‑enhanced perfusion magnetic resonance imaging parameters for predicting MGMT promoter methylation and prognostic value in newly diagnosed patients with glioblastoma

Reina Utsugi, Yonehiro Kanemura, Naoki Kagawa, Noriyuki Tomiyama et al.
2 citations
Oncology Letters
Glioma Diagnosis and Treatment
0.88
article

Dynamic susceptibility contrast‑enhanced perfusion magnetic resonance imaging parameters for predicting MGMT promoter methylation and prognostic value in newly diagnosed patients with glioblastoma

Reina Utsugi, Yonehiro Kanemura, Naoki Kagawa, Noriyuki Tomiyama, Haruhiko Kishima, Daiki Chida, Ryuichi Hirayama, Atsuko Arisawa, Noriyuki Kijima, Yoshiko Okita, Hideki Kuroda, Shinichi Yoshimura
article en
2 citations

Abstract

O6-methylguanine DNA methyltransferase <i>(MGMT)</i> promoter methylation is an important clinical biomarker of newly diagnosed glioblastoma. Previous radiological studies using dynamic susceptibility contrast (DSC) magnetic resonance imaging (MRI) perfusion have aimed to predict <i>MGMT</i> methylation status non-invasively in gliomas with radiological characteristics. The possibility of predicting <i>MGMT</i> methylation status using DSC-MRI perfusion with a radiological approach remains controversial. The present study aimed to evaluate the usefulness of MRI perfusion parameters as non-invasive markers to predict <i>MGMT</i> methylation status and prognosis in newly diagnosed glioblastoma patients. Thus, 50 patients with histologically confirmed primary glioblastoma, <i>IDH</i>-wildtype who underwent tumor resection at Osaka University Hospital (Suita, Japan) between January 2017 and January 2023 were included in this study. The mean cerebral blood volume (CBV) ratio (rCBV) and cerebral blood flow (CBF) ratio (rCBF) for tumors with <i>MGMT</i> methylation (mean rCBV:2.09 and mean rCBF:3.08) were significantly higher compared with those for tumors without <i>MGMT</i> methylation (mean rCBV:1.33 and mean rCBF:1.85; P<0.05). While patients with <i>MGMT</i> methylation had longer progression-free survival (PFS) compared with those without <i>MGMT</i> methylation (P<0.05), there was no significant difference in OS with or without <i>MGMT</i> methylation (P=0.06). By contrast, there was no association between MRI perfusion parameters and OS or PFS in patients with glioblastoma. Furthermore, the association between CBV, CBF, <i>MGMT</i> promotor methylation status, OS, and PFS were explored. There was no significant prognostic difference between low vascularity tumors (rCBV <1.3 or rCBF <1.8) with or without <i>MGMT</i> methylation. On the other hand, high vascularity tumors (rCBF ≥1.8) with <i>MGMT</i> promotor methylation were associated to longer OS and PFS compared with those without. However, there was no association between <i>MGMT</i> methylation status and OS or PFS in patients with high rCBV (rCBV ≥1.3). The present study indicated that CBV and CBF could be used to predict the <i>MGMT</i> methylation status in glioblastomas. However, the prognostic value of tumor vascularity and <i>MGMT</i> methylation status may be limited.

Oncology LettersVol. 28(6)
Osaka National Hospital (JP), Hyogo University (JP), The University of Osaka (JP)
Japan Science and Technology Agency
Openalex Percentile: Top 23%
Glioma Diagnosis and Treatment
0.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.