Literature DB >> 22355274

Comparisons of the efficacy of a Jak1/2 inhibitor (AZD1480) with a VEGF signaling inhibitor (cediranib) and sham treatments in mouse tumors using DCE-MRI, DW-MRI, and histology.

Mary E Loveless1, Deborah Lawson, Michael Collins, Murali V Prasad Nadella, Corinne Reimer, Dennis Huszar, Jane Halliday, John C Waterton, John C Gore, Thomas E Yankeelov.   

Abstract

Jak1/2 inhibition suppresses STAT3 phosphorylation that is characteristic of many cancers. Activated STAT3 promotes the transcription of factors that enhance tumor growth, survival, and angiogenesis. AZD1480 is a novel small molecule inhibitor of Jak1/2, which is a key mediator of STAT3 activation. This study examined the use of diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) biomarkers in assessing early tumor response to AZD1480. Cediranib (AZD2171), a vascular endothelial growth factor signaling inhibitor, was used as a comparator. Thirty mice were injected with Calu-6 lung cancer cells and randomized into the three treatment groups: AZD1480, cediranib, and sham. DW-MRI and DCE-MRI protocols were performed at baseline and at days 3 and 5 after treatment. The percent change from baseline measurements for K(trans), ADC, and v(e) were calculated and compared with hematoxylin and eosin (H&E), CD31, cParp, and Ki-67 histology data. Decreases in K(trans) of 29% (P < .05) and 53% (P < .05) were observed at days 3 and 5, respectively, for the cediranib group. No significant changes in K(trans) occurred for the AZD1480 group, but a significant increase in ADC was demonstrated at days 3 (63%, P < .05) and 5 (49%, P < .05). CD31 staining indicated diminished vasculature in the cediranib group, whereas significantly increased cParp staining for apoptotic activity and extracellular space by image analysis of H&E were present in the AZD1480 group. These imaging biomarker changes, and corresponding histopathology, support the use of ADC, but not K(trans), as a pharmacodynamic biomarker of response to AZD1480 at these time points.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22355274      PMCID: PMC3281942          DOI: 10.1593/neo.111478

Source DB:  PubMed          Journal:  Neoplasia        ISSN: 1476-5586            Impact factor:   5.715


  34 in total

1.  Effects of cell volume fraction changes on apparent diffusion in human cells.

Authors:  A W Anderson; J Xie; J Pizzonia; R A Bronen; D D Spencer; J C Gore
Journal:  Magn Reson Imaging       Date:  2000-07       Impact factor: 2.546

2.  Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; Y Shigematu; T Hirai; T Okuda; L Liang; Y Ge; Y Komohara; Y Ushio; M Takahashi
Journal:  J Magn Reson Imaging       Date:  1999-01       Impact factor: 4.813

3.  Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.

Authors:  D Le Bihan; E Breton; D Lallemand; M L Aubin; J Vignaud; M Laval-Jeantet
Journal:  Radiology       Date:  1988-08       Impact factor: 11.105

4.  Roles of activated Src and Stat3 signaling in melanoma tumor cell growth.

Authors:  Guilian Niu; Tammy Bowman; Mei Huang; Steve Shivers; Douglas Reintgen; Adil Daud; Alfred Chang; Alan Kraker; Richard Jove; Hua Yu
Journal:  Oncogene       Date:  2002-10-10       Impact factor: 9.867

5.  Monitoring therapeutic responses of primary bone tumors by diffusion-weighted image: Initial results.

Authors:  Yoshiko Hayashida; Toshitake Yakushiji; Kazuo Awai; Kazuhiro Katahira; Yoshiharu Nakayama; Osamu Shimomura; Mika Kitajima; Toshinori Hirai; Yasuyuki Yamashita; Hiroshi Mizuta
Journal:  Eur Radiol       Date:  2006-08-15       Impact factor: 5.315

6.  The JAK2 inhibitor AZD1480 potently blocks Stat3 signaling and oncogenesis in solid tumors.

Authors:  Michael Hedvat; Dennis Huszar; Andreas Herrmann; Joseph M Gozgit; Anne Schroeder; Adam Sheehy; Ralf Buettner; David Proia; Claudia M Kowolik; Hong Xin; Brian Armstrong; Geraldine Bebernitz; Shaobu Weng; Lin Wang; Minwei Ye; Kristen McEachern; Huawei Chen; Deborah Morosini; Kirsten Bell; Marat Alimzhanov; Stephanos Ioannidis; Patricia McCoon; Zhu A Cao; Hua Yu; Richard Jove; Michael Zinda
Journal:  Cancer Cell       Date:  2009-12-08       Impact factor: 31.743

Review 7.  Systemic cancer therapy: evolution over the last 60 years.

Authors:  Grace K Dy; Alex A Adjei
Journal:  Cancer       Date:  2008-10-01       Impact factor: 6.860

8.  Incorporating contrast agent diffusion into the analysis of DCE-MRI data.

Authors:  Martin Pellerin; Thomas E Yankeelov; Martin Lepage
Journal:  Magn Reson Med       Date:  2007-12       Impact factor: 4.668

Review 9.  Technology insight: water diffusion MRI--a potential new biomarker of response to cancer therapy.

Authors:  Daniel M Patterson; Anwar R Padhani; David J Collins
Journal:  Nat Clin Pract Oncol       Date:  2008-02-26

Review 10.  Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols.

Authors:  P S Tofts; G Brix; D L Buckley; J L Evelhoch; E Henderson; M V Knopp; H B Larsson; T Y Lee; N A Mayr; G J Parker; R E Port; J Taylor; R M Weisskoff
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

View more
  27 in total

1.  Cancer subclonal genetic architecture as a key to personalized medicine.

Authors:  Alnawaz Rehemtulla
Journal:  Neoplasia       Date:  2013-12       Impact factor: 5.715

2.  Multispectral fluorescence ultramicroscopy: three-dimensional visualization and automatic quantification of tumor morphology, drug penetration, and antiangiogenic treatment response.

Authors:  Michael Dobosz; Vasilis Ntziachristos; Werner Scheuer; Steffen Strobel
Journal:  Neoplasia       Date:  2014-01       Impact factor: 5.715

3.  Diffusion-Weighted MRI as a Biomarker of Tumor Radiation Treatment Response Heterogeneity: A Comparative Study of Whole-Volume Histogram Analysis versus Voxel-Based Functional Diffusion Map Analysis.

Authors:  Benjamin Lemasson; Craig J Galbán; Jennifer L Boes; Yinghua Li; Yuan Zhu; Kevin A Heist; Timothy D Johnson; Thomas L Chenevert; Stefanie Galbán; Alnawaz Rehemtulla; Brian D Ross
Journal:  Transl Oncol       Date:  2013-10-01       Impact factor: 4.243

4.  Assessing reproducibility of diffusion-weighted magnetic resonance imaging studies in a murine model of HER2+ breast cancer.

Authors:  Jennifer G Whisenant; Gregory D Ayers; Mary E Loveless; Stephanie L Barnes; Daniel C Colvin; Thomas E Yankeelov
Journal:  Magn Reson Imaging       Date:  2013-12-14       Impact factor: 2.546

Review 5.  Targeting SH2 domains in breast cancer.

Authors:  Pietro Morlacchi; Fredika M Robertson; Jim Klostergaard; John S McMurray
Journal:  Future Med Chem       Date:  2014       Impact factor: 3.808

6.  Assessing the reproducibility of dynamic contrast enhanced magnetic resonance imaging in a murine model of breast cancer.

Authors:  Stephanie L Barnes; Jennifer G Whisenant; Mary E Loveless; Gregory D Ayers; Thomas E Yankeelov
Journal:  Magn Reson Med       Date:  2012-07-27       Impact factor: 4.668

7.  The effects of intravoxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domains.

Authors:  Ryan T Woodall; Stephanie L Barnes; David A Hormuth; Anna G Sorace; C Chad Quarles; Thomas E Yankeelov
Journal:  Magn Reson Med       Date:  2017-11-08       Impact factor: 4.668

8.  Integrating Imaging Data into Predictive Biomathematical and Biophysical Models of Cancer.

Authors:  Thomas E Yankeelov
Journal:  ISRN Biomath       Date:  2012

9.  Overcoming intratumor heterogeneity of polygenic cancer drug resistance with improved biomarker integration.

Authors:  Alnawaz Rehemtulla
Journal:  Neoplasia       Date:  2012-12       Impact factor: 5.715

10.  Practical dynamic contrast enhanced MRI in small animal models of cancer: data acquisition, data analysis, and interpretation.

Authors:  Stephanie L Barnes; Jennifer G Whisenant; Mary E Loveless; Thomas E Yankeelov
Journal:  Pharmaceutics       Date:  2012       Impact factor: 6.321

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.