4.8 Article

Characterizing EPR-mediated passive drug targeting using contrast-enhanced functional ultrasound imaging

期刊

JOURNAL OF CONTROLLED RELEASE
卷 182, 期 -, 页码 83-89

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jconrel.2014.03.007

关键词

Drug targeting; Nanomedicine; Theranostics; Cancer; EPR; HPMA

资金

  1. European Research Council [ERC-StG-309495]
  2. DFG [LA 2937/1-2]
  3. European Union (European Regional Development Fund-Investing In Your Future)
  4. COST-Action [TD1004]
  5. North Rhine Westphalia (HighTech. NRW/EUZiel 2-Programm (EFRE)
  6. ForSaTum)
  7. Grant Agency of the Czech Republic [P207/12/J030]
  8. Philips Research

向作者/读者索取更多资源

The Enhanced Permeability and Retention (EPR) effect is extensively used in drug delivery research. Taking into account that EPR is a highly variable phenomenon, we have here set out to evaluate if contrast-enhanced functional ultrasound (ceUS) imaging can be employed to characterize EPR-mediated passive drug targeting to tumors. Using standard fluorescence molecular tomography (FMT) and two different protocols for hybrid computed tomography-fluorescence molecular tomography (CT-FMT), the tumor accumulation of a similar to 10 nm-sized near-infrared-fluorophore-labeled polymeric drug carrier (pHPMA-Dy750) was evaluated in CT26 tumor-bearing mice. In the same set of animals, two different ceUS techniques (2D MIOT and 3D B-mode imaging) were employed to assess tumor vascularization. Subsequently, the degree of tumor vascularizationwas correlated with the degree of EPR-mediated drug targeting. Depending on the optical imaging protocol used, the tumor accumulation of the polymeric drug carrier ranged from 5 to 12% of the injected dose. The degree of tumor vascularization, determined using ceUS, varied from 4 to 11%. For both hybrid CT-FMT protocols, a good correlation between the degree of tumor vascularization and the degree of tumor accumulation was observed, within the case of reconstructed CT-FMT, correlation coefficients of similar to 0.8 and p-values of <0.02. These findings indicate that ceUS can be used to characterize and predict EPR, and potentially also to pre-select patients likely to respond to passively tumor-targeted nanomedicine treatments. (C) 2014 Elsevier B. V. All rights reserved.

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