Molecular Imaging Center, Department of Molecular Biotechnologies and health Sciences, University of Torino, Torino, Italy.
Department of Molecular Biotechnologies and health Sciences, University of Torino, Torino, Italy.
Sci Rep. 2018 Jul 12;8(1):10567. doi: 10.1038/s41598-018-28926-5.
Prostate Cancer (PCa) is the second most common and fifth cause of cancer-related mortality in males in Western Countries. The development of innovative tools for an early, more precise and noninvasive diagnosis is a medical need. Vascular volume (Vv) and hypoxia are two of the most important tumor hallmarks. Herein, they have been assessed in TRAMP mice by using MRI. Their quantification has been carried out by injecting autologous Red Blood Cells (RBCs), ex vivo labelled with Gd-HPDO3A or Gd-DOTP complexes, respectively. Gd-labelled-RBCs are stably confined in the intravascular space, also in presence of a very leaky tumor endothelium, thus representing efficient probes for vascular space analysis. Vv enhancement and hypoxia onset have been demonstrated to be present at early stages of PCa and their expression largely increases with tumor development. Moreover, also Diffusion weighted MRI and Amide Proton Transfer MRI have been herein applied to characterize PCa. The herein applied multiparametric MRI (mpMRI) analysis allows a detailed in vivo characterization of PCa, in which each histotype and cancer stage displays a specific MRI pattern. This provides an unprecedented opportunity to feature prostate tumor, making possible a non-invasive, precise and early diagnosis, which could direct treatments towards a more personalized medicine.
前列腺癌(PCa)是西方国家男性中第二大常见癌症和第五大癌症相关死亡原因。开发创新工具以实现早期、更精确和非侵入性诊断是一种医疗需求。血管容积(Vv)和缺氧是肿瘤的两个最重要的特征之一。在此,使用 MRI 对 TRAMP 小鼠进行了评估。通过注射自体红细胞(RBC)并用 Gd-HPDO3A 或 Gd-DOTP 复合物进行体外标记,分别对其进行了量化。Gd 标记的 RBC 在血管内空间中稳定存在,即使肿瘤内皮非常渗漏也是如此,因此它们是血管空间分析的有效探针。已经证明 Vv 增强和缺氧的发生存在于 PCa 的早期阶段,并且它们的表达随着肿瘤的发展而大大增加。此外,还应用了扩散加权 MRI 和酰胺质子转移 MRI 来表征 PCa。在此应用的多参数 MRI(mpMRI)分析允许对 PCa 进行详细的体内特征描述,其中每种组织类型和癌症阶段都显示出特定的 MRI 模式。这为前列腺肿瘤提供了一个前所未有的特征描述机会,使非侵入性、精确和早期诊断成为可能,从而可以将治疗导向更个性化的医学。