| Literature DB >> 28287120 |
Matthew J Ware1, Martyna Krzykawska-Serda1,2, Jason Chak-Shing Ho1, Jared Newton1,3, Sarah Suki1, Justin Law1, Lam Nguyen1, Vazrik Keshishian1, Maciej Serda4,5, Kimberly Taylor1, Steven A Curley1,6, Stuart J Corr1,5,7.
Abstract
Interactions of high-frequency radio waves (RF) with biological tissues are currently being investigated as a therapeutic platform for non-invasive cancer hyperthermia therapy. RF delivers thermal energy into tissues, which increases intra-tumoral drug perfusion and blood-flow. Herein, we describe an optical-based method to optimize the short-term treatment schedules of drug and hyperthermia administration in a 4T1 breast cancer model via RF, with the aim of maximizing drug localization and homogenous distribution within the tumor microenvironment. This method, based on the analysis of fluorescent dyes localized into the tumor, is more time, cost and resource efficient, when compared to current analytical methods for tumor-targeting drug analysis such as HPLC and LC-MS. Alexa-Albumin 647 nm fluorphore was chosen as a surrogate for nab-paclitaxel based on its similar molecular weight and albumin driven pharmacokinetics. We found that RF hyperthermia induced a 30-40% increase in Alexa-Albumin into the tumor micro-environment 24 h after treatment when compared to non-heat treated mice. Additionally, we showed that the RF method of delivering hyperthermia to tumors was more localized and uniform across the tumor mass when compared to other methods of heating. Lastly, we provided insight into some of the factors that influence the delivery of RF hyperthermia to tumors.Entities:
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Year: 2017 PMID: 28287120 PMCID: PMC5347121 DOI: 10.1038/srep43961
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Comparison of treatment protocols for HC (left) and RF (right).
(A) Schematic depicting HC experimental set-up with mouse. (B) Depicts RF experimental set-up with mouse. (Schematic includes orange copper blanket, pink mouse and tumor pulled through square cut into copper blanket, black curved line represents optical thermal probe and solid black shape represents IR camera). (C) The relationship between superficial and intra-tumoral temperature in HC. (D) The relationship between superficial and intra-tumoral temperature in RF heated tumors (Solid lines represent a linear fit and doted lines represent a 95% confidence interval). (E) Mean heat differential between tumor temperature and mouse body (rectal) (left Y axes and square ± SD) temperature (°C) during HC treatment and average rectal temperature (°C), (right Y, dots ± SD). (F) Mean heat differential between tumor temperature and mouse body (rectal) temperature (°C) during RF treatment (left Y axes and square ± SD) and average rectal temperature (°C), (right Y, dots ± SD). (Table S1 in supplementary outlines the temperatures of the water bath for various tumoral temperatures and some issues arising during heating regimens).
Figure 2Accumulation of injected dye dose in the tumor 24 h after treatment.
(A) Percentage of injected dye accumulated in tumors after HC, RF and NHC treatment (all thermal doses are grouped together in this analysis). The current ANOVA effect is described under the plot, the error bars represent 95% confidence interval. (B) Percentage of injected Alexa647 in the 4T1 tumors in NHC, HC and RF groups in individual holding times (rows) and temperature (upper X scale). Data is presented as means ± standard errors (SE). Total N in experiment is 139 tumors. Average tumor volume 244 ± 68 μL. (Red lines represent median for whole treatment group).
Figure 3Relation between dye accumulation and various experimental factors. (A) Simulated/fitted relation between dye accumulation [% of injected dose], tumor height [mm] and temperature during RF. (B) Simulated/fitted relation between dye accumulation [% of injected dose], tumor height [mm] and temperature during 30 min of HC.
Figure 4Effects of hyperthermia on tumor fluid dynamics.
The blood velocity for various treatments (ratio of before to after treatment, boxes represent the mean and bars represent the standard deviation).