Literature DB >> 16508914

Noninvasive 1H/13C magnetic resonance spectroscopic imaging of the intratumoral distribution of temozolomide.

Yoshinori Kato1, Baasil Okollie, Dmitri Artemov.   

Abstract

Among the primary reasons for failure of anticancer chemotherapy are insufficient drug delivery to the tumor because of inadequate tumor vascularization and/or the antivascular effects of chemotherapy. Thus, determining the spatial intratumoral distribution of anticancer agents by noninvasive methods such as MRI/MRSI is important for monitoring cancer chemotherapy. We therefore studied the distribution of the 13C-labeled anticancer agent temozolomide ([13C]TMZ) in MCF-7 tumor-bearing mice using 1H/13C MRSI. In phantom studies inverse 13C detection with heteronuclear multiple quantum coherence (HMQC) provided a 2.3-fold gain in signal-to-noise ratio (SNR) over direct nuclear overhauser effect (NOE)-enhanced 13C-MRS. This enabled detection of [13C]TMZ in the micromolar range. Three-dimensional (3D) maps of drug distribution with a nominal 2.5-mm isotropic resolution were obtained following intraperitoneal administration of [13C]TMZ, for a total dose of 200 mg/kg. The status of the blood supply of tumors was assessed by gadolinium (Gd)-enhanced dynamic MRI. Nonuniform distributions of the drug and the contrast agent were detected in the tumors. Although carbon-13 MRSI has an inherently low sensitivity for detection, the novel technique described here demonstrates the feasibility of studying the delivery of 13C-labeled drugs and contrast uptake during the course of chemotherapy. (c) 2006 Wiley-Liss, Inc.

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Year:  2006        PMID: 16508914     DOI: 10.1002/mrm.20831

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  14 in total

Review 1.  MRI in rodent models of brain disorders.

Authors:  Aleksandar Denic; Slobodan I Macura; Prasanna Mishra; Jeffrey D Gamez; Moses Rodriguez; Istvan Pirko
Journal:  Neurotherapeutics       Date:  2011-01       Impact factor: 7.620

Review 2.  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 3.  Metabolic tumor imaging using magnetic resonance spectroscopy.

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

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

Review 5.  Opportunities and pitfalls of cancer imaging in clinical trials.

Authors:  Bruno Morgan
Journal:  Nat Rev Clin Oncol       Date:  2011-04-26       Impact factor: 66.675

Review 6.  Applications of molecular MRI and optical imaging in cancer.

Authors:  Marie-France Penet; Maria Mikhaylova; Cong Li; Balaji Krishnamachary; Kristine Glunde; Arvind P Pathak; Zaver M Bhujwalla
Journal:  Future Med Chem       Date:  2010-06       Impact factor: 3.808

7.  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

Review 8.  Restriction of drug transport by the tumor environment.

Authors:  Rajender Nandigama; Berin Upcin; Bertal H Aktas; Süleyman Ergün; Erik Henke
Journal:  Histochem Cell Biol       Date:  2018-10-25       Impact factor: 4.304

Review 9.  MR - eyes for cancer: looking within an impenetrable disease.

Authors:  Marie-France Penet; Dmitri Artemov; Keyvan Farahani; Zaver M Bhujwalla
Journal:  NMR Biomed       Date:  2013-07       Impact factor: 4.044

10.  Inhibition of Lysyl Oxidases Improves Drug Diffusion and Increases Efficacy of Cytotoxic Treatment in 3D Tumor Models.

Authors:  Friedrich Schütze; Florian Röhrig; Sandra Vorlová; Sabine Gätzner; Anja Kuhn; Süleyman Ergün; Erik Henke
Journal:  Sci Rep       Date:  2015-12-01       Impact factor: 4.379

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