Kurokawa Gabriel A, Hamamoto Filho Pedro T, Galvani Aline F, Delafiori Jeany, de Oliveira Arthur N, Dias-Audibert Flavia L, Catharino Rodrigo R, Zanini Marco A, Ferrasi Adriana C, Lima Estela O
Laboratory of Molecular Analysis and Neuro-oncology, Experimental Research Unit, Botucatu Medical School, São Paulo State University, São Paulo, SP, Brazil.
Department of Neurosciences and Mental Health, Botucatu Medical School, São Paulo State University, Botucatu, Brazil.
Discov Oncol. 2025 Aug 13;16(1):1546. doi: 10.1007/s12672-025-03374-6.
Meningiomas (MGMs) account for around 36% of all primary central nervous system tumors. Currently, imaging techniques are the primary method for detecting the presence of MGM, even when it recurs. This study aimed to identify plasma metabolites related to the presence of MGM, searching for a simpler approach to detect molecular alterations in the blood linked to MGM. For that, plasma samples were evaluated through untargeted metabolomics using Mass Spectrometry. Analysis was performed on samples from 51 MGM patients and 50 healthy individuals to identify tumor-related metabolites, which were later identified through tandem mass spectrometry, database verification, and scientific literature. The selected molecules were verified for their potential as MGM biomarkers through Area Under the Curve (AUC) analyses. Three metabolites with the potential to act as MGM biomarkers were identified: hydroxymethyluracil (m/z 143; AUC = 0.93), ganglioside (m/z 1116; AUC = 0.81), and sulfatide (m/z 931; AUC = 0.682). The AUC values for hydroxymethyluracil and ganglioside suggest that these molecules have the potential to differentiate patients with MGM from healthy individuals. These results open a new possibility for identifying tumor biomarkers in the plasma of patients with MGM, especially considering the prospect of patient follow-up.
脑膜瘤(MGMs)约占所有原发性中枢神经系统肿瘤的36%。目前,成像技术是检测MGM存在的主要方法,即使在其复发时也是如此。本研究旨在识别与MGM存在相关的血浆代谢物,寻找一种更简单的方法来检测血液中与MGM相关的分子改变。为此,使用质谱法通过非靶向代谢组学对血浆样本进行评估。对51例MGM患者和50名健康个体的样本进行分析,以识别肿瘤相关代谢物,随后通过串联质谱、数据库验证和科学文献对其进行鉴定。通过曲线下面积(AUC)分析验证所选分子作为MGM生物标志物的潜力。鉴定出三种有潜力作为MGM生物标志物的代谢物:羟甲基尿嘧啶(m/z 143;AUC = 0.93)、神经节苷脂(m/z 1116;AUC = 0.81)和硫苷脂(m/z 931;AUC = 0.682)。羟甲基尿嘧啶和神经节苷脂的AUC值表明,这些分子有潜力区分MGM患者和健康个体。这些结果为在MGM患者血浆中识别肿瘤生物标志物开辟了新的可能性,特别是考虑到患者随访的前景。