Literature DB >> 24634505

Preclinical evaluation of imaging biomarkers for prostate cancer bone metastasis and response to cabozantinib.

Timothy J Graham1, Gary Box, Nina Tunariu, Mateus Crespo, Terry J Spinks, Susana Miranda, Gerhardt Attard, Johann de Bono, Suzanne A Eccles, Faith E Davies, Simon P Robinson.   

Abstract

BACKGROUND: Prostate cancer is incurable once it has metastasized to the bone. Appropriate preclinical models are lacking. The therapeutic efficacy of the multikinase inhibitor cabozantinib was assessed in an orthotopic xenograft model of castration-resistant prostate cancer (CRPC) bone metastasis using noninvasive, multimodality functional imaging.
METHODS: NOD/SCID mice were injected intratibially with luciferase-expressing ERG (v-ets avian erythroblastosis virus E26 oncogene homolog) rearranged VCaP human prostate carcinoma cells. The response of VCaP xenografts (n = 7 per group) to cabozantinib was investigated using bioluminescence imaging and anatomical and diffusion weighted magnetic resonance imaging. This enabled quantitation of tumor volume and apparent diffusion coefficient (ADC). Bone uptake of technetium-methylene diphosphonate ((99m)Tc-MDP) was assessed by single-photon emission computed tomography. Ex vivo micro computed tomography was used to quantify bone volume and correlated with appropriate histopathology. Statistical significance was determined using the two-sided Mann-Whitney test or Wilcoxon signed rank test.
RESULTS: VCaP xenografts were predominantly osteosclerotic with some osteolytic activity. Fluorescent in situ hybridization analysis confirmed retention of ERG oncogene rearrangements. Cabozantinib induced a statistically significant 52% reduction in tumor luminance (P = .02) and stasis in tumor volume after 15 days of treatment. Tumor ADC statistically significantly increased with cabozantinib and was associated with extensive necrosis (after 10 days, mean tumor ADC ± SD = 556±43×10(-6) mm(2)/s vs pretreatment ADC = 485±43×10(-6) mm(2)/s; P = .02 ). Tumor-associated uptake of (99m)Tc-MDP was statistically significantly reduced after 3 days of treatment (P = .02), sustained over 15 days treatment, and associated with a statistically significant (P = .048) reduction in bone growth on the tibial cortex, yet a highly statistically significant (P = .001) increase in trabecular bone volume.
CONCLUSIONS: The intratibial VCaP model faithfully emulates clinical disease. Cabozantinib exerts potent effects on both tumor and tumor-induced bone matrix remodeling, and quantitation of ADC provides a clinically translatable imaging biomarker for early, sensitive assessment of treatment response in CRPC bone metastasis.

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Year:  2014        PMID: 24634505     DOI: 10.1093/jnci/dju033

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  36 in total

1.  Integrating Murine and Clinical Trials with Cabozantinib to Understand Roles of MET and VEGFR2 as Targets for Growth Inhibition of Prostate Cancer.

Authors:  Andreas Varkaris; Paul G Corn; Nila U Parikh; Eleni Efstathiou; Jian H Song; Yu-Chen Lee; Ana Aparicio; Anh G Hoang; Sanchaika Gaur; Lynnelle Thorpe; Sankar N Maity; Menashe Bar Eli; Bogdan A Czerniak; Yiping Shao; Mian Alauddin; Sue-Hwa Lin; Christopher J Logothetis; Gary E Gallick
Journal:  Clin Cancer Res       Date:  2015-08-13       Impact factor: 12.531

Review 2.  Cabozantinib for the treatment of kidney cancer.

Authors:  Ahmed Abdelaziz; Ulka Vaishampayan
Journal:  Expert Rev Anticancer Ther       Date:  2017-07       Impact factor: 4.512

3.  Three-dimensional Image-based Mechanical Modeling for Predicting the Response of Breast Cancer to Neoadjuvant Therapy.

Authors:  Jared A Weis; Michael I Miga; Thomas E Yankeelov
Journal:  Comput Methods Appl Mech Eng       Date:  2016-09-01       Impact factor: 6.756

4.  Cabozantinib, a New Standard of Care for Patients With Advanced Renal Cell Carcinoma and Bone Metastases? Subgroup Analysis of the METEOR Trial.

Authors:  Bernard Escudier; Thomas Powles; Robert J Motzer; Thomas Olencki; Osvaldo Arén Frontera; Stephane Oudard; Frederic Rolland; Piotr Tomczak; Daniel Castellano; Leonard J Appleman; Harry Drabkin; Daniel Vaena; Steven Milwee; Jillian Youkstetter; Julie C Lougheed; Sergio Bracarda; Toni K Choueiri
Journal:  J Clin Oncol       Date:  2018-01-08       Impact factor: 44.544

5.  Cabozantinib in patients with platinum-refractory metastatic urothelial carcinoma: an open-label, single-centre, phase 2 trial.

Authors:  Andrea B Apolo; Rosa Nadal; Yusuke Tomita; Nicole N Davarpanah; Lisa M Cordes; Seth M Steinberg; Liang Cao; Howard L Parnes; Rene Costello; Maria J Merino; Les R Folio; Liza Lindenberg; Mark Raffeld; Jeffrey Lin; Min-Jung Lee; Sunmin Lee; Sylvia V Alarcon; Akira Yuno; Nancy A Dawson; Kimaada Allette; Arpita Roy; Dinuka De Silva; Molly M Lee; Tristan M Sissung; William D Figg; Piyush K Agarwal; John J Wright; Yangmin M Ning; James L Gulley; William L Dahut; Donald P Bottaro; Jane B Trepel
Journal:  Lancet Oncol       Date:  2020-07-06       Impact factor: 41.316

6.  (18)F-FDG-PET/CT and (18)F-NaF-PET/CT in men with castrate-resistant prostate cancer.

Authors:  Katherine A Zukotynski; Chun K Kim; Victor H Gerbaudo; Jon Hainer; Mary-Ellen Taplin; Philip Kantoff; Annick D Van den Abbeele; Steven Seltzer; Christopher J Sweeney
Journal:  Am J Nucl Med Mol Imaging       Date:  2014-12-15

7.  Spheroid culture of LuCaP 136 patient-derived xenograft enables versatile preclinical models of prostate cancer.

Authors:  Maija P Valta; Hongjuan Zhao; Matthias Saar; Johanna Tuomela; Rosalie Nolley; Johannes Linxweiler; Jouko Sandholm; Jaakko Lehtimäki; Pirkko Härkönen; Ilsa Coleman; Peter S Nelson; Eva Corey; Donna M Peehl
Journal:  Clin Exp Metastasis       Date:  2016-02-12       Impact factor: 5.150

Review 8.  Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications.

Authors:  Lizhi Liu; Zhiqiang Tian; Zhenfeng Zhang; Baowei Fei
Journal:  Acad Radiol       Date:  2016-04-25       Impact factor: 3.173

9.  Correlation of tumor characteristics derived from DCE-MRI and DW-MRI with histology in murine models of breast cancer.

Authors:  Stephanie L Barnes; Anna G Sorace; Mary E Loveless; Jennifer G Whisenant; Thomas E Yankeelov
Journal:  NMR Biomed       Date:  2015-08-30       Impact factor: 4.044

Review 10.  Cabozantinib: a review of its use in patients with medullary thyroid cancer.

Authors:  Sheridan M Hoy
Journal:  Drugs       Date:  2014-08       Impact factor: 9.546

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