Literature DB >> 11306485

Magnetic resonance pharmacoangiography to detect and predict chemotherapy delivery to solid tumors.

D Artemov1, M Solaiyappan, Z M Bhujwalla.   

Abstract

Detection and prediction of drug delivery to the tumor interstitium are of critical importance in cancer chemotherapy. Prediction of drug delivery derived from standard pharmacokinetic models is frequently inadequate because of the complex nature of tumor blood flow and the microenvironment. Although drug concentrations can be directly sampled with microdialysis or in biopsy samples, we currently lack methods capable of detecting and/or predicting drug delivery to tumors noninvasively. In this study, we describe a novel magnetic resonance (MR) technique to directly detect the drug, and we present the correlation between delivery of drug and the delivery of MR contrast agents to the tumor. Experiments were performed with tumor xenografts in severe combined immunodeficient mice. Three-dimensional maps of the drug distribution within the tumors were obtained with 13C spectroscopic MR imaging with a spatial resolution of 2 x 2 x 2 mm, using signals of the 13C-labeled anticancer agent phenylacetate. Three-dimensional maps of uptake of gadolinium-diethylenetriaminepentaacetic acid (GdDTPA) contrast agent were obtained for the same tumors using dynamic MR imaging. Experimental data were analyzed for correlation between delivery of the drug and the contrast. Histological analysis was performed for excised tumors. Experimental data demonstrated a significant spatial correlation (r = 0.59 with P < 0.001) between the parameter representing delivery of the contrast to tumor interstitium, determined from the kinetic curves of GdDTPA, and integral tissue drug concentrations for two different tumor models. The method is designed to probe extravasation of the drug molecules from the bloodstream into the tumor interstitium. Although therapeutic efficiency of the drug will also depend upon drug retention in the tumor and the ability of the molecules to cross cellular membranes, inefficient drug transfer from plasma to tissue can be a major impediment in achieving effective tumor chemotherapy. The results of this study demonstrate that the uptake kinetics of a low molecular weight MR contrast agent can be used to predict delivery of drug molecules of similar size to the interstitium of solid tumors.

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Year:  2001        PMID: 11306485

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  9 in total

Review 1.  Magnetic resonance spectroscopy in metabolic and molecular imaging and diagnosis of cancer.

Authors:  Kristine Glunde; Dmitri Artemov; Marie-France Penet; Michael A Jacobs; Zaver M Bhujwalla
Journal:  Chem Rev       Date:  2010-05-12       Impact factor: 60.622

Review 2.  Metabolic tumor imaging using magnetic resonance spectroscopy.

Authors:  Kristine Glunde; Zaver M Bhujwalla
Journal:  Semin Oncol       Date:  2011-02       Impact factor: 4.929

Review 3.  In vivo microdialysis for PK and PD studies of anticancer drugs.

Authors:  Qingyu Zhou; James M Gallo
Journal:  AAPS J       Date:  2005-10-24       Impact factor: 4.009

4.  Noninvasive detection of temozolomide in brain tumor xenografts by magnetic resonance spectroscopy.

Authors:  Yoshinori Kato; David A Holm; Baasil Okollie; Dmitri Artemov
Journal:  Neuro Oncol       Date:  2009-10-20       Impact factor: 12.300

5.  Contributing factors of temozolomide resistance in MCF-7 tumor xenograft models.

Authors:  Yoshinori Kato; Baasil Okollie; Venu Raman; Farhad Vesuna; Ming Zhao; Sharyn D Baker; Zaver M Bhujwalla; Dmitri Artemov
Journal:  Cancer Biol Ther       Date:  2007-03-05       Impact factor: 4.742

6.  Concomitant quantification of targeted drug delivery and biological response in individual cells.

Authors:  Massimo Pinto; Roger W Howell
Journal:  Biotechniques       Date:  2007-07       Impact factor: 1.993

7.  Investigating Low-Velocity Fluid Flow in Tumors with Convection-MRI.

Authors:  Simon Walker-Samuel; Thomas A Roberts; Rajiv Ramasawmy; Jake S Burrell; Sean Peter Johnson; Bernard M Siow; Simon Richardson; Miguel R Gonçalves; Douglas Pendse; Simon P Robinson; R Barbara Pedley; Mark F Lythgoe
Journal:  Cancer Res       Date:  2018-01-09       Impact factor: 12.701

8.  The Blood Flow Shutdown Induced by Combretastatin A4 Impairs Gemcitabine Delivery in a Mouse Hepatocarcinoma.

Authors:  Anne-Catherine Fruytier; Cecile S Le Duff; Chrystelle Po; Julie Magat; Caroline Bouzin; Marie-Aline Neveu; Olivier Feron; Benedicte F Jordan; Bernard Gallez
Journal:  Front Pharmacol       Date:  2016-12-23       Impact factor: 5.810

9.  DCE@urLAB: a dynamic contrast-enhanced MRI pharmacokinetic analysis tool for preclinical data.

Authors:  Juan E Ortuño; María J Ledesma-Carbayo; Rui V Simões; Ana P Candiota; Carles Arús; Andrés Santos
Journal:  BMC Bioinformatics       Date:  2013-11-04       Impact factor: 3.169

  9 in total

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