A predictive model for MGMT promoter methylation status in glioblastoma based on terahertz spectral data

IF 2.6 4区生物学 Q2 BIOCHEMICAL RESEARCH METHODS

Analytical biochemistry Pub Date : 2025-03-29 DOI:10.1016/j.ab.2025.115850

Minghui Du , Xianhao Wu , Zhiyan Sun , Rui Tao , Peiyuan Sun , Shaowen Zheng , Zhaohui Zhang , Tianyao Zhang , Xiaoyan Zhao , Pei Yang

引用次数: 0

Abstract

O⁶-methylguanine-DNA methyltransferase (MGMT) promoter methylation is a crucial biomarker in glioblastoma (GBM) that influences response to temozolomide. Traditional detection methods, such as gene sequencing, are time-consuming and limited to postoperative analysis. This study explores the use of terahertz time-domain spectroscopy (THz-TDS) combined with machine learning to predict MGMT methylation status intraoperatively. By analyzing 180 GBM tissue samples, a Random Forest model was developed, achieving an AUC of 0.862. The findings suggest that THz spectroscopy offers a rapid, intraoperative alternative to traditional MGMT methylation detection methods, potentially enhancing surgical decision-making and personalized treatment strategies in GBM.

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基于太赫兹光谱数据的胶质母细胞瘤MGMT启动子甲基化状态的预测模型

o6 -甲基鸟嘌呤- dna甲基转移酶（MGMT）启动子甲基化是胶质母细胞瘤（GBM）中影响替莫唑胺反应的重要生物标志物。传统的检测方法，如基因测序，耗时且仅限于术后分析。本研究探索使用太赫兹时域光谱（THz-TDS）结合机器学习来预测术中MGMT甲基化状态。通过对180份GBM组织样本的分析，建立了随机森林模型，AUC为0.862。研究结果表明，太赫兹光谱为传统的MGMT甲基化检测方法提供了一种快速的术中替代方法，有可能提高GBM的手术决策和个性化治疗策略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Analytical biochemistry 生物-分析化学

CiteScore

5.70

自引率

0.00%

发文量

283

审稿时长

44 days

期刊介绍： The journal''s title Analytical Biochemistry: Methods in the Biological Sciences declares its broad scope: methods for the basic biological sciences that include biochemistry, molecular genetics, cell biology, proteomics, immunology, bioinformatics and wherever the frontiers of research take the field. The emphasis is on methods from the strictly analytical to the more preparative that would include novel approaches to protein purification as well as improvements in cell and organ culture. The actual techniques are equally inclusive ranging from aptamers to zymology. The journal has been particularly active in: -Analytical techniques for biological molecules- Aptamer selection and utilization- Biosensors- Chromatography- Cloning, sequencing and mutagenesis- Electrochemical methods- Electrophoresis- Enzyme characterization methods- Immunological approaches- Mass spectrometry of proteins and nucleic acids- Metabolomics- Nano level techniques- Optical spectroscopy in all its forms. The journal is reluctant to include most drug and strictly clinical studies as there are more suitable publication platforms for these types of papers.