Preclinical evaluation of radiation and perifosine in a genetically and histologically accurate model of brainstem glioma.
Preclinical evaluation of radiation and perifosine in a genetically and histologically accurate model of brainstem glioma.
复制标题
在遗传学和组织学精确的脑干神经胶质瘤模型中,辐射和perifosine的临床前评估。
DOI:
10.1158/0008-5472.can-09-2503
复制
发表时间:
2010-03-15
期刊:
影响因子:
11.2
通讯作者:
Holland EC
中科院分区:
文献类型:
--
作者:
Becher OJ;Hambardzumyan D;Walker TR;Helmy K;Nazarian J;Albrecht S;Hiner RL;Gall S;Huse JT;Jabado N;MacDonald TJ;Holland EC
Brainstem gliomas (BSGs) are a rare group of CNS tumors that arise mostly in children and usually portend a particularly poor prognosis. We report the development of a genetically engineered mouse model of BSG using the RCAS/tv-a system and its implementation in preclinical trials. Using immunohistochemistry we found that PDGFRα is overexpressed in 67% of pediatric BSGs. Based on this observation, we induced low-grade BSGs by overexpressing PDGF-B in the posterior fossa of neonatal Nestin tv-a mice. To generate high-grade BSGs, we overexpressed PDGF-B in combination with Ink4a-ARF loss, given that this locus is commonly lost in high-grade pediatric BSGs. We show that the likely cells-of-origin for these mouse BSGs exist on the floor of the 4th ventricle and cerebral aqueduct. Irradiation of these high-grade BSGs shows that while 2, 6, and 10 Gy single doses significantly increased the percent of TUNEL-positive nuclei, only 6, and 10 Gy significantly induces cell-cycle arrest. Perifosine, an inhibitor of AKT signaling significantly induced TUNEL-positive nuclei in this high-grade BSG model, but in combination with 10 Gy, it did not significantly increase the percent of TUNEL-positive nuclei relative to 10 Gy alone at 6, 24, and 72 hours. Survival analysis demonstrated that a single dose of 10 Gy significantly prolonged survival by 27% (p=0.0002) but perifosine did not (p=0.92). Perifosine + 10Gy did not result in a significantly increased survival relative to 10Gy alone (p=0.23). This PDGF-induced BSG model can serve as a preclinical tool for the testing of novel agents.