National Centre for Human Genetic Resources, National Research Institute for Health and Family Planning, Beijing, China.
Peking Union Medical College Graduate School, Beijing, China.
Int J Cancer. 2021 Dec 15;149(12):2091-2098. doi: 10.1002/ijc.33729. Epub 2021 Sep 4.
Isocitrate dehydrogenase (IDH) gene mutations are important predictive molecular markers to guide surgical strategy in brain cancer therapy. Herein, we presented a method using matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) for absolute quantification of 2-hydroxyglutarate (2-HG) on tissues to identify IDH mutations and evaluate tumor residue. This analytical method was tested among 34 glioma patients and validated with gold standard clinical technologies. The cut-off value of 2-HG was set as 0.81 pmol/μg to identify IDH mutant (IDHmt) gliomas with 100% specificity and sensitivity. In addition, 2-HG levels and tumor cell density (TCD) showed positive correlation in IDHmt gliomas by this spatial method. This MALDI MSI-based absolute quantification method has great potentiality for incorporating into surgical workflow in the future.
异柠檬酸脱氢酶 (IDH) 基因突变是指导脑肿瘤治疗手术策略的重要预测性分子标志物。在此,我们提出了一种使用基质辅助激光解吸/电离质谱成像 (MALDI MSI) 对组织中 2-羟基戊二酸 (2-HG) 进行绝对定量的方法,以鉴定 IDH 突变并评估肿瘤残留。该分析方法在 34 名胶质瘤患者中进行了测试,并通过金标准临床技术进行了验证。将 2-HG 的截止值设定为 0.81 pmol/μg,以 100%的特异性和灵敏度识别 IDH 突变型 (IDHmt) 胶质瘤。此外,通过这种空间方法,IDHmt 胶质瘤中的 2-HG 水平与肿瘤细胞密度 (TCD) 呈正相关。这种基于 MALDI MSI 的绝对定量方法在未来有可能整合到手术流程中。