Szeto Mindy D, Chakraborty Gargi, Hadley Jennifer, Rockne Russ, Muzi Mark, Alvord Ellsworth C, Krohn Kenneth A, Spence Alexander M, Swanson Kristin R
Department of Pathology, University of Washington School of Medicine, Seattle, WA 98104, USA.
Cancer Res. 2009 May 15;69(10):4502-9. doi: 10.1158/0008-5472.CAN-08-3884. Epub 2009 Apr 14.
Glioblastoma multiforme (GBM) are aggressive and uniformly fatal primary brain tumors characterized by their diffuse invasion of the normal-appearing parenchyma peripheral to the clinical imaging abnormality. Hypoxia, a hallmark of aggressive tumor behavior often noted in GBMs, has been associated with resistance to therapy, poorer survival, and more malignant tumor phenotypes. Based on the existence of a set of novel imaging techniques and modeling tools, our objective was to assess a hypothesized quantitative link between tumor growth kinetics [assessed via mathematical models and routine magnetic resonance imaging (MRI)] and the hypoxic burden of the tumor [assessed via positron emission tomography (PET) imaging]. Our biomathematical model for glioma kinetics describes the spatial and temporal evolution of a glioma in terms of concentration of malignant tumor cells. This model has already been proven useful as a novel tool to dynamically quantify the net rates of proliferation (rho) and invasion (D) of the glioma cells in individual patients. Estimates of these kinetic rates can be calculated from routinely available pretreatment MRI in vivo. Eleven adults with GBM were imaged preoperatively with (18)F-fluoromisonidazole (FMISO)-PET and serial gadolinium-enhanced T1- and T2-weighted MRIs to allow the estimation of patient-specific net rates of proliferation (rho) and invasion (D). Hypoxic volumes were quantified from each FMISO-PET scan following standard techniques. To control for tumor size variability, two measures of hypoxic burden were considered: relative hypoxia (RH), defined as the ratio of the hypoxic volume to the T2-defined tumor volume, and the mean intensity on FMISO-PET scaled to the blood activity of the tracer (mean T/B). Pearson correlations between RH and the net rate of cell proliferation (rho) reached significance (P < 0.04). Moreover, highly significant positive correlations were found between biological aggressiveness ratio (rho/D) and both RH (P < 0.00003) and the mean T/B (P < 0.0007).
多形性胶质母细胞瘤(GBM)是侵袭性的原发性脑肿瘤,无一例外都会导致死亡,其特征是在临床影像异常周围的正常实质组织中呈弥漫性浸润。缺氧是GBM中常见的侵袭性肿瘤行为的标志,与治疗耐药、较差的生存率以及更恶性的肿瘤表型有关。基于一系列新型成像技术和建模工具的存在,我们的目标是评估肿瘤生长动力学[通过数学模型和常规磁共振成像(MRI)评估]与肿瘤缺氧负担[通过正电子发射断层扫描(PET)成像评估]之间假设的定量联系。我们的胶质瘤动力学生物数学模型根据恶性肿瘤细胞的浓度描述了胶质瘤的时空演变。该模型已被证明是一种有用的新工具,可动态量化个体患者中胶质瘤细胞的增殖净速率(rho)和侵袭净速率(D)。这些动力学速率的估计值可从常规可用的术前体内MRI计算得出。11名患有GBM的成年人在术前接受了(18)F-氟米索硝唑(FMISO)-PET和系列钆增强T1加权及T2加权MRI检查,以估计患者特异性的增殖净速率(rho)和侵袭净速率(D)。按照标准技术从每次FMISO-PET扫描中对缺氧体积进行定量。为了控制肿瘤大小的变异性,考虑了两种缺氧负担测量方法:相对缺氧(RH),定义为缺氧体积与T2定义的肿瘤体积之比,以及FMISO-PET上按示踪剂血液活性缩放的平均强度(平均T/B)。RH与细胞增殖净速率(rho)之间的Pearson相关性具有统计学意义(P < 0.04)。此外,在生物学侵袭率(rho/D)与RH(P < 0.00003)和平均T/B(P < 0.0007)之间发现了高度显著的正相关性。