Literature DB >> 16651420

Dynamic imaging of emerging resistance during cancer therapy.

Kuei C Lee1, Daniel E Hall, Benjamin A Hoff, Bradford A Moffat, Surabhi Sharma, Thomas L Chenevert, Charles R Meyer, Wilbur R Leopold, Timothy D Johnson, Richard V Mazurchuk, Alnawaz Rehemtulla, Brian D Ross.   

Abstract

One of the greatest challenges in developing therapeutic regimens is the inability to rapidly and objectively assess tumor response due to treatment. Moreover, tumor response to therapeutic intervention in many cases is transient, and progressive alterations within the tumor may mask the effectiveness of an initially successful therapy. The ability to detect these changes as they occur would allow timely initiation of alternative approaches, maximizing therapeutic outcome. We investigated the ability of diffusion magnetic resonance imaging (MRI) to provide a sensitive measure of tumor response throughout the course of treatment, possibly identifying changes in sensitivity to the therapy. Orthotopic 9L gliomas were subjected to two separate therapeutic regimens, with one group receiving a single 5-day cycle (1omega) of low-dose 1,3-bis(2-chloroethyl)-1-nitrosourea (BCNU) and a second group receiving two cycles at the same dose, bisected with 2 days of rest (2omega). Apparent diffusion coefficient maps were acquired before and throughout treatment to observe changes in water mobility, and these observations were correlated to standard measures of therapeutic response and outcome. Our results showed that diffusion MRI was indeed able to detect the emergence of a drug-resistant tumor subpopulation subsequent to an initially successful cycle of BCNU therapy, leading to minimal gains from a second cycle. These diffusion MRI findings were highly correlated with tumor growth delay, animal survival, and ex vivo growth inhibition assays showing emerging resistance in excised tumors. Overall, this study highlights the ability of diffusion MRI to provide sensitive dynamic assessment of therapy-induced response, allowing early opportunities for optimization of therapeutic protocols.

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Year:  2006        PMID: 16651420     DOI: 10.1158/0008-5472.CAN-05-3205

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


  25 in total

1.  Squamous cell carcinoma of the head and neck: diffusion-weighted MR imaging for prediction and monitoring of treatment response.

Authors:  Ann D King; Frankie K F Mo; Kwok-Hung Yu; David K W Yeung; Hua Zhou; Kunwar S Bhatia; Gary M K Tse; Alexander C Vlantis; Jeffrey K T Wong; Anil T Ahuja
Journal:  Eur Radiol       Date:  2010-03-23       Impact factor: 5.315

Review 2.  Applications of molecular imaging.

Authors:  Craig J Galbán; Stefanie Galbán; Marcian E Van Dort; Gary D Luker; Mahaveer S Bhojani; Alnawaz Rehemtulla; Brian D Ross
Journal:  Prog Mol Biol Transl Sci       Date:  2010       Impact factor: 3.622

3.  The functional diffusion map: an imaging biomarker for the early prediction of cancer treatment outcome.

Authors:  Bradford A Moffat; Thomas L Chenevert; Charles R Meyer; Paul E McKeever; Daniel E Hall; Benjamin A Hoff; Timothy D Johnson; Alnawaz Rehemtulla; Brian D Ross
Journal:  Neoplasia       Date:  2006-04       Impact factor: 5.715

4.  Early tumor development captured through nondestructive, high resolution differential phase contrast X-ray imaging.

Authors:  A Beheshti; B R Pinzer; J T McDonald; M Stampanoni; L Hlatky
Journal:  Radiat Res       Date:  2013-10-14       Impact factor: 2.841

5.  Magnetic Resonance Imaging for Drug Development.

Authors:  Jeong Kon Kim
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

6.  DW-MRI as a Predictive Biomarker of Radiosensitization of GBM through Targeted Inhibition of Checkpoint Kinases.

Authors:  Terence M Williams; Stefanie Galbán; Fei Li; Kevin A Heist; Craig J Galbán; Theodore S Lawrence; Eric C Holland; Tami L Thomae; Thomas L Chenevert; Alnawaz Rehemtulla; Brian D Ross
Journal:  Transl Oncol       Date:  2013-04-01       Impact factor: 4.243

7.  ADC histograms predict response to anti-angiogenic therapy in patients with recurrent high-grade glioma.

Authors:  Martha Nowosielski; Wolfgang Recheis; Georg Goebel; Ozgür Güler; Gerd Tinkhauser; Herwig Kostron; Michael Schocke; Thaddaeus Gotwald; Günther Stockhammer; Markus Hutterer
Journal:  Neuroradiology       Date:  2010-12-02       Impact factor: 2.804

8.  Serial diffusion MRI to monitor and model treatment response of the targeted nanotherapy CRLX101.

Authors:  Thomas S C Ng; David Wert; Hargun Sohi; Daniel Procissi; David Colcher; Andrew A Raubitschek; Russell E Jacobs
Journal:  Clin Cancer Res       Date:  2013-03-26       Impact factor: 12.531

9.  Voxel-by-voxel functional diffusion mapping for early evaluation of breast cancer treatment.

Authors:  Bing Ma; Charles R Meyer; Martin D Pickles; Thomas L Chenevert; Peyton H Bland; Craig J Galbán; Alnawaz Rehemtulla; Lindsay W Turnbull; Brian D Ross
Journal:  Inf Process Med Imaging       Date:  2009

Review 10.  Pharmacotherapy for adults with tumors of the central nervous system.

Authors:  Nina F Schor
Journal:  Pharmacol Ther       Date:  2008-11-27       Impact factor: 12.310

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