Department of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA.
Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA.
Nat Biotechnol. 2019 May;37(5):531-539. doi: 10.1038/s41587-019-0064-8. Epub 2019 Mar 18.
Endogenous biomarkers remain at the forefront of early disease detection efforts, but many lack the sensitivities and specificities necessary to influence disease management. Here, we describe a cell-based in vivo sensor for highly sensitive early cancer detection. We engineer macrophages to produce a synthetic reporter on adopting an M2 tumor-associated metabolic profile by coupling luciferase expression to activation of the arginase-1 promoter. After adoptive transfer in colorectal and breast mouse tumor models, the engineered macrophages migrated to the tumors and activated arginase-1 so that they could be detected by bioluminescence imaging and luciferase measured in the blood. The macrophage sensor detected tumors as small as 25-50 mm by blood luciferase measurements, even in the presence of concomitant inflammation, and was more sensitive than clinically used protein and nucleic acid cancer biomarkers. Macrophage sensors also effectively tracked the immunological response in muscle and lung models of inflammation, suggesting the potential utility of this approach in disease states other than cancer.
内源性生物标志物仍然是早期疾病检测工作的前沿,但许多生物标志物缺乏敏感性和特异性,无法影响疾病的管理。在这里,我们描述了一种基于细胞的体内传感器,用于高度敏感的早期癌症检测。我们通过将荧光素酶表达与精氨酸酶-1启动子的激活相偶联,使巨噬细胞在采用 M2 肿瘤相关代谢特征时产生合成报告子。在结直肠和乳腺小鼠肿瘤模型中的过继转移后,工程化的巨噬细胞迁移到肿瘤中,并激活精氨酸酶-1,以便可以通过生物发光成像和血液中的荧光素酶测量来检测它们。通过血液荧光素酶测量,巨噬细胞传感器甚至在存在伴随炎症的情况下,也可以检测到小至 25-50mm 的肿瘤,比临床使用的蛋白质和核酸癌症生物标志物更敏感。巨噬细胞传感器还有效地跟踪了肌肉和肺部炎症模型中的免疫反应,这表明该方法在癌症以外的疾病状态中的潜在应用。