Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China.
Spectrochim Acta A Mol Biomol Spectrosc. 2023 Jul 5;295:122629. doi: 10.1016/j.saa.2023.122629. Epub 2023 Mar 17.
Gliomas are the most common type of primary tumor in the central nervous system in adults. Isocitrate dehydrogenase (IDH) mutation status is an important molecular biomarker for adult diffuse gliomas. In this study, we were aiming to predict IDH mutation status based on terahertz time-domain spectroscopy technology. Ninety-two frozen sections of glioma tissue from nine patients were included, and terahertz spectroscopy data were obtained. Through Least Absolute Shrinkage and Selection Operator (LASSO), Principal component analysis (PCA), and Random forest (RF) algorithms, a predictive model for predicting IDH mutation status in gliomas was established based on the terahertz spectroscopy dataset with an AUC of 0.844. These results indicate that gliomas with different IDH mutation status have different terahertz spectral features, and the use of terahertz spectroscopy can establish a predictive model of IDH mutation status, providing a new way for glioma research.
神经胶质瘤是成年人中枢神经系统最常见的原发性肿瘤。异柠檬酸脱氢酶（IDH）突变状态是成人弥漫性神经胶质瘤的重要分子生物标志物。在这项研究中，我们旨在基于太赫兹时域光谱技术预测 IDH 突变状态。纳入了 9 名患者的 92 个神经胶质瘤组织冷冻切片，并获得了太赫兹光谱数据。通过最小绝对值收缩和选择算子（LASSO）、主成分分析（PCA）和随机森林（RF）算法，基于太赫兹光谱数据集建立了预测 IDH 突变状态的预测模型，其 AUC 为 0.844。这些结果表明，具有不同 IDH 突变状态的神经胶质瘤具有不同的太赫兹光谱特征，并且太赫兹光谱技术的使用可以建立 IDH 突变状态的预测模型，为神经胶质瘤研究提供了一种新方法。
