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Quantification of PSMA expression in prostate cancer by pharmacokinetic modeling of targeted ultrasound nanobubbles

机译:靶向超声纳米博上药代动力学建模的前列腺癌中PSMA表达的定量

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The value of contrast-enhanced ultrasound (CEUS) for prostate cancer diagnostics is still debated. Novel targeted ultrasound contrast agents enable visualization of molecular and cellular processes in vivo and non-invasively. Microbubbles targeted to the vascular endothelial growth factor receptor 2 have been successfully tested in humans, but detection rate for prostate cancer was limited to 65%. While microbubbles can only target molecules in the blood vessels, novel nanobubbles (NBs) can extravasate, thus enabling reaching targets beyond the vessel wall. Recently, NBs targeted to the prostate specific membrane antigen (PSMA), which is overexpressed by prostate cancer cells, have shown selective accumulation in prostate-tumor mouse models. However, methods for quantification of NB binding are still lacking. In this work, we propose a pharmacokinetic modeling approach to estimate the binding potential of PSMA-targeted NBs, and we test the proposed method in 7 dual-tumor mouse models of prostate cancer.
机译:对比度增强超声(CEU)的价值仍然讨论。新型靶向超声造影剂能够在体内和非侵入性中可视化分子和细胞过程。靶向血管内皮生长因子受体2的微泡已在人体中成功测试,但前列腺癌的检出率限制在65%。虽然微泡只能靶向血管中的分子,但是新型纳米泡(NBS)可以外理,从而使得能够达到血管壁的靶标。最近,靶向前列腺癌细胞过表达的前列腺特异性膜抗原(PSMA)的NBs显示出在前列腺肿瘤小鼠模型中的选择性积累。然而,仍然缺乏用于量化Nb结合的方法。在这项工作中,我们提出了一种药代动力学建模方法来估计PSMA靶向NB的结合潜力,并在7种双肿瘤小鼠模型中测试所提出的方法。

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