Abstract：
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.
摘要：
胶质瘤是成人中枢神经系统中最常见的原发性肿瘤类型。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标志物。在这项研究中,基于太赫兹时域光谱技术对IDH突变状态进行预测。包括9名患者的神经胶质瘤组织的92个冷冻切片，并获得了太赫兹光谱数据。通过最小绝对收缩和选择算子(LASSO)，主成分分析(PCA)，和随机森林(RF)算法，基于AUC为0.844的太赫兹光谱数据集,建立了预测胶质瘤中IDH突变状态的预测模型.这些结果表明，具有不同IDH突变状态的胶质瘤具有不同的太赫兹光谱特征，利用太赫兹光谱技术可以建立IDH突变状态的预测模型,为胶质瘤的研究提供了新的思路。
