Literature DB >> 17440058

An imaging biomarker of early treatment response in prostate cancer that has metastasized to the bone.

Kuei C Lee1, Sudha Sud, Charles R Meyer, Bradford A Moffat, Thomas L Chenevert, Alnawaz Rehemtulla, Kenneth J Pienta, Brian D Ross.   

Abstract

Prostate cancer ranks as the most common lethal malignancy diagnosed and the second leading cause of cancer mortality in American men. Although high response rates are achieved using androgen blockade as first-line therapy, most men progress toward hormone-refractory prostate cancer. Systemic chemotherapies have been shown to improve clinical outcome in hormone refractory prostate cancer patients; however, they are not curative. Due to the high incidence of bone involvement in hormone-refractory prostate cancer, assessment of treatment response in metastatic prostate cancer to the bone remains a major clinical need. In this current study, we investigated the feasibility of using the functional diffusion map (fDM) as an imaging biomarker for assessing early treatment response in a preclinical model of metastatic prostate cancer. The fDM biomarker requires a pretreatment and midtreatment magnetic resonance imaging diffusion map, which is used to quantify spatially distinct therapeutic-induced changes in the Brownian motion (or diffusion) of water within tumor tissue. Because water within tumor cells is in a restricted environment relative to extracellular water, loss of cell membrane integrity and cellular density during therapy will be detected by fDM as an increase in diffusion. Regions of significantly increased diffusion values were detected early using fDM in docetaxel-treated versus untreated metastatic prostate bone tumors at 7 days post treatment initiation (P < 0.05), indicating loss of tumor cell viability. Validation of fDM results was accomplished by histologic analysis of excised tissue. Results from this study show the capability of fDM as a biomarker for detection of bone cancer treatment efficacy, thus warranting clinical evaluation.

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Year:  2007        PMID: 17440058     DOI: 10.1158/0008-5472.CAN-06-4236

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


  31 in total

1.  Differential microstructure and physiology of brain and bone metastases in a rat breast cancer model by diffusion and dynamic contrast enhanced MRI.

Authors:  Matthew D Budde; Eric Gold; E Kay Jordan; Joseph A Frank
Journal:  Clin Exp Metastasis       Date:  2011-11-01       Impact factor: 5.150

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.  Optimising diffusion weighted MRI for imaging metastatic and myeloma bone disease and assessing reproducibility.

Authors:  C Messiou; D J Collins; V A Morgan; N M Desouza
Journal:  Eur Radiol       Date:  2011-04-07       Impact factor: 5.315

4.  Registration accuracy for MR images of the prostate using a subvolume based registration protocol.

Authors:  Joakim H Jonsson; Patrik Brynolfsson; Anders Garpebring; Mikael Karlsson; Karin Söderström; Tufve Nyholm
Journal:  Radiat Oncol       Date:  2011-06-16       Impact factor: 3.481

Review 5.  Predicting and monitoring cancer treatment response with diffusion-weighted MRI.

Authors:  Harriet C Thoeny; Brian D Ross
Journal:  J Magn Reson Imaging       Date:  2010-07       Impact factor: 4.813

6.  Image registration for quantitative parametric response mapping of cancer treatment response.

Authors:  Jennifer L Boes; Benjamin A Hoff; Nola Hylton; Martin D Pickles; Lindsay W Turnbull; Anne F Schott; Alnawaz Rehemtulla; Ryan Chamberlain; Benjamin Lemasson; Thomas L Chenevert; Craig J Galbán; Charles R Meyer; Brian D Ross
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

7.  Diffusion MRI with Semi-Automated Segmentation Can Serve as a Restricted Predictive Biomarker of the Therapeutic Response of Liver Metastasis.

Authors:  Renu M Stephen; Abhinav K Jha; Denise J Roe; Theodore P Trouard; Jean-Philippe Galons; Matthew A Kupinski; Georgette Frey; Haiyan Cui; Scott Squire; Mark D Pagel; Jeffrey J Rodriguez; Robert J Gillies; Alison T Stopeck
Journal:  Magn Reson Imaging       Date:  2015-08-15       Impact factor: 2.546

8.  Diffusion-weighted magnetic resonance imaging for predicting and detecting early response to chemoradiation therapy of squamous cell carcinomas of the head and neck.

Authors:  Sungheon Kim; Laurie Loevner; Harry Quon; Eric Sherman; Gregory Weinstein; Alex Kilger; Harish Poptani
Journal:  Clin Cancer Res       Date:  2009-02-01       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

10.  Challenges in clinical prostate cancer: role of imaging.

Authors:  Gary J Kelloff; Peter Choyke; Donald S Coffey
Journal:  AJR Am J Roentgenol       Date:  2009-06       Impact factor: 3.959

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