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

Journal: Analytical biochemistry
Published Date:

Abstract

O-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.

Authors

  • Minghui Du
    School of Life Science and Bio-Pharmaceutics, Shenyang Pharmaceutical University, Shenyang, China.
  • Xianhao Wu
    School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China.
  • Zhiyan Sun
    Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
  • Rui Tao
    Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Peiyuan Sun
    The National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China; College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China.
  • Shaowen Zheng
    School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China.
  • Zhaohui Zhang
  • Tianyao Zhang
    School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China.
  • Xiaoyan Zhao
    Seer, Inc., Redwood City, CA 94065.
  • Pei Yang
    Department of Bone and Joint Surgery, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.