School of Allied Health Sciences, Kitasato University , Sagamihara, Kanagawa, Japan.
Department of Radiological Sciences, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama , Sugitani, Toyama, Japan.
Mol Ther Methods Clin Dev. 2016 Mar 2;5:16009. doi: 10.1038/mtm.2016.9. eCollection 2016.
Hypoxic regions within the tumor form due to imbalances between cell proliferation and angiogenesis; specifically, temporary closure or a reduced flow due to abnormal vasculature. They create environments where cancer cells acquire resistance to therapies. Therefore, the development of therapeutic approaches targeting the hypoxic cells is one of the most crucial challenges for cancer regression. Screening potential candidates for effective diagnostic modalities even under a hypoxic environment would be an important first step. In this study, we describe the development of a real-time imaging system to monitor hypoxic cell apoptosis for such screening. The imaging system is composed of a cyclic luciferase (luc) gene under the control of an improved hypoxic-responsive promoter. The cyclic luc gene product works as a caspase-3 (cas-3) monitor as it gains luc activity in response to cas-3 activation. The promoter composed of six hypoxic responsible elements and the CMV IE1 core promoter drives the effective expression of the cyclic luc gene in hypoxic conditions, enhancing hypoxic cell apoptosis visualization. We also confirmed real-time imaging of hypoxic cell apoptosis in the spheroid, which shares properties with the tumor. Thus, this constructed system could be a powerful tool for the development of effective anticancer diagnostic modalities.
肿瘤内的缺氧区域是由于细胞增殖和血管生成之间的失衡形成的;具体来说,由于血管异常,会暂时关闭或减少血流。这些区域会使癌细胞产生对治疗的耐药性。因此,开发针对缺氧细胞的治疗方法是癌症消退的最关键挑战之一。筛选潜在的有效诊断模式的候选物,即使在缺氧环境下,也将是一个重要的第一步。在这项研究中,我们描述了开发一种实时成像系统来监测缺氧细胞凋亡的方法,用于这种筛选。该成像系统由一个受改良缺氧反应启动子控制的循环荧光素酶(luc)基因组成。该循环 luc 基因产物作为 caspase-3(cas-3)的监测物,因为它在 cas-3 激活时获得 luc 活性。由六个缺氧反应元件和 CMV IE1 核心启动子组成的启动子在缺氧条件下驱动循环 luc 基因的有效表达,增强了对缺氧细胞凋亡的可视化。我们还证实了在与肿瘤具有相似特性的球体中缺氧细胞凋亡的实时成像。因此,这个构建的系统可以成为开发有效抗癌诊断模式的有力工具。