Biol Chem. 2013 Apr;394(4):529-39. doi: 10.1515/hsz-2012-0318.
Despite multiple advances in cancer therapies, patients with glioblastoma (GBM) still have a poor prognosis. Numerous glioma models are used not only for the development of innovative therapies but also to optimize conventional ones. Given the significance of hypoxia in drug and radiation resistance and that hypoxia is widely observed among GBM, the establishment of a reliable method to map hypoxia in preclinical human models may contribute to the discovery and translation of future and more targeted therapies. The aim of this study was to compare the hypoxic status of two commonly used human orthotopic glioma models (U87 and U251) developed in rats and studied by noninvasive hypoxia imaging with 3-[18F]fluoro-1-(2-nitro-1-imidazolyl)-2-propanol-micro-positron emission tomography ([18F]-FMISO-μPET). In parallel, because of the relationships between angiogenesis and hypoxia, we used magnetic resonance imaging (MRI), histology, and immunohistochemistry to characterize the tumoral vasculature. Although all tumors were detectable in T2-weighted MRI and 2-deoxy-2-[18F]fluoro-d-glucose-μPET, only the U251 model exhibited [18F]-FMISO uptake. Additionally, the U251 tumors were less densely vascularized than U87 tumors. Our study demonstrates the benefits of noninvasive imaging of hypoxia in preclinical models to define the most reliable one for translation of future therapies to clinic based on the importance of intratumoral oxygen tension for the efficacy of chemotherapy and radiotherapy.
尽管癌症治疗方法有了多种进步,但胶质母细胞瘤(GBM)患者的预后仍然很差。许多神经胶质瘤模型不仅用于开发创新疗法,还用于优化传统疗法。鉴于缺氧在药物和放射抵抗中的重要性,以及 GBM 中广泛观察到缺氧,建立一种可靠的方法来描绘临床前人类模型中的缺氧状态可能有助于发现和转化未来更有针对性的治疗方法。本研究的目的是比较两种常用的大鼠源性人原位神经胶质瘤模型(U87 和 U251)的缺氧状态,并用 3-[18F]氟-1-(2-硝基-1-咪唑基)-2-丙醇-微正电子发射断层扫描 ([18F]-FMISO-μPET) 进行非侵入性缺氧成像研究。同时,由于血管生成和缺氧之间的关系,我们使用磁共振成像(MRI)、组织学和免疫组织化学来描述肿瘤血管。尽管所有肿瘤在 T2 加权 MRI 和 2-脱氧-2-[18F]氟-D-葡萄糖-μPET 中均能检测到,但只有 U251 模型表现出 [18F]-FMISO 摄取。此外,U251 肿瘤的血管化程度低于 U87 肿瘤。我们的研究表明,在临床前模型中进行缺氧的非侵入性成像具有优势,可以根据肿瘤内氧张力对化疗和放疗疗效的重要性,确定最可靠的模型用于未来治疗方法的转化。