کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1425688 986775 2010 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Non-invasive monitoring of intra-tumor drug concentration and therapeutic response using optical spectroscopy
موضوعات مرتبط
مهندسی و علوم پایه مهندسی مواد بیومتریال
پیش نمایش صفحه اول مقاله
Non-invasive monitoring of intra-tumor drug concentration and therapeutic response using optical spectroscopy
چکیده انگلیسی

Optical spectroscopy was used to monitor changes in tumor physiology with therapy, and its influence on drug delivery and treatment efficacy for hyperthermia treatment combined with free doxorubicin or a low-temperature sensitive liposomal formulation. Monte Carlo-based modeling techniques were used to characterize the intrinsic absorption, scattering, and fluorescence properties of tissue. Fluorescence assessment of drug concentration was validated against HPLC and found to be significantly linearly correlated (r = 0.88). Cluster analysis on the physiologic data obtained by optical spectroscopy revealed two physiologic phenotypes prior to treatment. One of these was relatively hypoxic, with relatively low total hemoglobin content. This hypoxic group was found to have a significantly shorter time to reach 3 times pre-treatment volume, indicating a more treatment resistant phenotype (p = 0.003). Influence of tumor physiology was assessed in more detail for the liposomal doxorubicin + hyperthermia group, which demonstrated a highly significant correlation between pre-treatment hemoglobin saturation and tumor growth delay, and also between post-hyperthermia total hemoglobin content and tumor drug delivery. Finally, it was found that the doxorubicin concentration, measured in vivo using fluorescence techniques significantly predicted for chemoresponse (hazard ratio: 0.34, p = 0.0007). The ability to characterize drug delivery and tumor physiology in vivo makes this a potentially useful tool for evaluating the efficacy of targeted delivery systems in preclinical studies, and may be translatable for monitoring and predicting individual treatment responses in the clinic.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Controlled Release - Volume 142, Issue 3, 19 March 2010, Pages 457–464
نویسندگان
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