利用FLT-PET/MRI和代谢组学表征长期和短期生存的胶质母细胞瘤患者。

IF 3.7 Q1 CLINICAL NEUROLOGY
Neuro-oncology advances Pub Date : 2025-02-08 eCollection Date: 2025-01-01 DOI:10.1093/noajnl/vdaf034
Jan Axelsson, Benny Björkblom, Thomas Asklund, Jens Brandel, Svante Larhed, Gabriela M Ringmar, Karolina Hedman, Katrine Riklund, Rickard L Sjöberg, Maria Sandström
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引用次数: 0

摘要

背景:胶质母细胞瘤是最具侵袭性的恶性脑肿瘤,具有高度的异质性、侵袭性和治疗耐药性。胶质母细胞瘤患者预后非常差,尽管多模式干预。在本研究中,我们研究了18f -氟胸苷(18F-FLT) PET联合对比增强MRI和血液代谢组学如何评估胶质母细胞瘤患者的预后和治疗反应。方法:将疑似高级别胶质瘤计划手术的患者纳入本临床研究,并在术前和标准治疗期间进行了4次18F-FLT-PET/MRI检查。采集血液样本并进行代谢组学分析。根据患者的生存情况,将患者分为长期存活者(0 ~ 3年)和短期存活者(结果:在治疗后2周和6周,短期存活者的肿瘤体积均明显大于长期存活者。当比较治疗期间的MRI结果时,长期幸存者显示肿瘤显著减少,而短期幸存者显示轻微或没有影响。至于18F-FLT-PET,结果并不明确。此外,生存组和治疗时间点之间的血液代谢组学模式存在明显而显著的差异。结论:MRI测量治疗期间肿瘤体积和生长似乎是影响预后的预后临床因素。在确定的生存组之间,血液代谢组学模式存在显著差异,可以作为早期预测预后的支持。我们还观察到治疗过程中不同时间点的代谢物水平有明显的分离,这可能反映了治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterizing long- and short-survival glioblastoma patients with FLT-PET/MRI and metabolomics.

Background: Glioblastoma is the most aggressive and malignant brain tumor, characterized by a high degree of heterogeneity, invasiveness, and resistance to treatment. Patients with glioblastoma have a very poor prognosis despite multimodal interventions. In this study, we investigated how 18F-fluorothymidine (18F-FLT) PET combined with contrast-enhanced MRI and blood metabolomics can contribute to evaluate prognosis and treatment response for patients with glioblastoma.

Methods: Patients, scheduled for surgery due to suspected high-grade glioma were included in this clinical study and underwent four 18F-FLT-PET/MRI examinations prior to surgery and during standard treatment. Blood samples were collected and analyzed by metabolomics. Patients were grouped according to survival as long-time survivors (>3 years) and short-time survivors (<500 days).

Results: Both 2 and 6 weeks into treatment, short-time survivors displayed a significantly larger tumor volume than long-time survivors. When comparing MRI findings during treatment, long-time survivors displayed a substantial tumor decrease, whereas the short-time survivors showed minor or no effect. Regarding 18F-FLT-PET the results were not as unambiguous. Furthermore, there was a clear and significant separation in the metabolomic pattern in blood between the survival groups and across treatment time points.

Conclusions: MRI measures of tumor volume and growth during treatment appear to be prognostic clinical factors that affect outcome. Metabolomic patterns in blood differ significantly between the defined survival groups and may serve as support for an early forecast of prognosis. We also observe a clear separation in metabolite levels between different time points during treatment, which likely reflects treatment effects.

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