Literature DB >> 28566330

Monitoring the Vascular Response and Resistance to Sunitinib in Renal Cell Carcinoma In Vivo with Susceptibility Contrast MRI.

Simon P Robinson1, Jessica K R Boult2, Naveen S Vasudev3, Andrew R Reynolds3,4.   

Abstract

Antiangiogenic therapy is efficacious in metastatic renal cell carcinoma (mRCC). However, the ability of antiangiogenic drugs to delay tumor progression and extend survival is limited, due to either innate or acquired drug resistance. Furthermore, there are currently no validated biomarkers that predict which mRCC patients will benefit from antiangiogenic therapy. Here, we exploit susceptibility contrast MRI (SC-MRI) using intravascular ultrasmall superparamagnetic iron oxide particles to quantify and evaluate tumor fractional blood volume (fBV) as a noninvasive imaging biomarker of response to the antiangiogenic drug sunitinib. We also interrogate the vascular phenotype of RCC xenografts exhibiting acquired resistance to sunitinib. SC-MRI of 786-0 xenografts prior to and 2 weeks after daily treatment with 40 mg/kg sunitinib revealed a 71% (P < 0.01) reduction in fBV in the absence of any change in tumor volume. This response was associated with significantly lower microvessel density (P < 0.01) and lower uptake of the perfusion marker Hoechst 33342 (P < 0.05). The average pretreatment tumor fBV was negatively correlated (R2 = 0.92, P < 0.0001) with sunitinib-induced changes in tumor fBV across the cohort. SC-MRI also revealed suppressed fBV in tumors that acquired resistance to sunitinib. In conclusion, SC-MRI enabled monitoring of the antiangiogenic response of 786-0 RCC xenografts to sunitinib, which revealed that pretreatment tumor fBV was found to be a predictive biomarker of subsequent reduction in tumor blood volume in response to sunitinib, and acquired resistance to sunitinib was not associated with a parallel increase in tumor blood volume. Cancer Res; 77(15); 4127-34. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28566330      PMCID: PMC6175052          DOI: 10.1158/0008-5472.CAN-17-0248

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


  46 in total

1.  Tumor blood volume determination by using susceptibility-corrected DeltaR2* multiecho MR.

Authors:  Thorsten Persigehl; Alexander Wall; Julia Kellert; Janine Ring; Stefanie Remmele; Walter Heindel; Hannes Dahnke; Christoph Bremer
Journal:  Radiology       Date:  2010-06       Impact factor: 11.105

2.  Cabozantinib versus Everolimus in Advanced Renal-Cell Carcinoma.

Authors:  Toni K Choueiri; Bernard Escudier; Thomas Powles; Paul N Mainwaring; Brian I Rini; Frede Donskov; Hans Hammers; Thomas E Hutson; Jae-Lyun Lee; Katriina Peltola; Bruce J Roth; Georg A Bjarnason; Lajos Géczi; Bhumsuk Keam; Pablo Maroto; Daniel Y C Heng; Manuela Schmidinger; Philip W Kantoff; Anne Borgman-Hagey; Colin Hessel; Christian Scheffold; Gisela M Schwab; Nizar M Tannir; Robert J Motzer
Journal:  N Engl J Med       Date:  2015-09-25       Impact factor: 91.245

Review 3.  Applications of ultrasmall superparamagnetic iron oxide contrast agents in the MR study of animal models.

Authors:  Ed X Wu; Haiying Tang; Jens H Jensen
Journal:  NMR Biomed       Date:  2004-11       Impact factor: 4.044

4.  Sunitinib versus interferon alfa in metastatic renal-cell carcinoma.

Authors:  Robert J Motzer; Thomas E Hutson; Piotr Tomczak; M Dror Michaelson; Ronald M Bukowski; Olivier Rixe; Stéphane Oudard; Sylvie Negrier; Cezary Szczylik; Sindy T Kim; Isan Chen; Paul W Bycott; Charles M Baum; Robert A Figlin
Journal:  N Engl J Med       Date:  2007-01-11       Impact factor: 91.245

5.  Dynamic contrast-enhanced magnetic resonance imaging pharmacodynamic biomarker study of sorafenib in metastatic renal carcinoma.

Authors:  Olwen M Hahn; Cheng Yang; Milica Medved; Gregory Karczmar; Emily Kistner; Theodore Karrison; Elizabeth Manchen; Myrosia Mitchell; Mark J Ratain; Walter M Stadler
Journal:  J Clin Oncol       Date:  2008-10-01       Impact factor: 44.544

6.  The loss of radiographic enhancement in primary renal cell carcinoma tumors following multitargeted receptor tyrosine kinase therapy is an additional indicator of response.

Authors:  C Lance Cowey; Julia R Fielding; W Kimryn Rathmell
Journal:  Urology       Date:  2009-11-20       Impact factor: 2.649

7.  Magnetic resonance imaging-measured blood flow change after antiangiogenic therapy with PTK787/ZK 222584 correlates with clinical outcome in metastatic renal cell carcinoma.

Authors:  Cedric de Bazelaire; David C Alsop; Daniel George; Ivan Pedrosa; Yongyu Wang; M Dror Michaelson; Neil M Rofsky
Journal:  Clin Cancer Res       Date:  2008-09-01       Impact factor: 12.531

8.  In vivo assessment of tumoral angiogenesis.

Authors:  I Troprès; L Lamalle; M Péoc'h; R Farion; Y Usson; M Décorps; C Rémy
Journal:  Magn Reson Med       Date:  2004-03       Impact factor: 4.668

9.  Oxygen-Enhanced MRI Accurately Identifies, Quantifies, and Maps Tumor Hypoxia in Preclinical Cancer Models.

Authors:  James P B O'Connor; Jessica K R Boult; Yann Jamin; Muhammad Babur; Katherine G Finegan; Kaye J Williams; Ross A Little; Alan Jackson; Geoff J M Parker; Andrew R Reynolds; John C Waterton; Simon P Robinson
Journal:  Cancer Res       Date:  2015-12-09       Impact factor: 12.701

10.  Contrasting effects of sunitinib within in vivo models of metastasis.

Authors:  Jonathan C Welti; Thomas Powles; Shane Foo; Morgane Gourlaouen; Natasha Preece; Julie Foster; Sophia Frentzas; Demelza Bird; Kevin Sharpe; Antoinette van Weverwijk; David Robertson; Julie Soffe; Janine T Erler; Roberto Pili; Caroline J Springer; Stephen J Mather; Andrew R Reynolds
Journal:  Angiogenesis       Date:  2012-07-28       Impact factor: 9.596

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  14 in total

1.  Kidney cancer: FBV indicates sunitinib response.

Authors:  Peter Sidaway
Journal:  Nat Rev Urol       Date:  2017-06-20       Impact factor: 14.432

2.  Systemic treatment of the metastatic renal cell carcinoma: usefulness of the apparent diffusion coefficient of diffusion-weighted MRI in prediction of early therapeutic response.

Authors:  Yulian Mytsyk; Serhiy Pasichnyk; Ihor Dutka; Ihor Dats; Dmytro Vorobets; Michał Skrzypczyk; Yerzhan Uteuliyev; Andrea Botikova; Katarina Gazdikova; Peter Kubatka; Peter Urdzik; Peter Kruzliak
Journal:  Clin Exp Med       Date:  2020-02-05       Impact factor: 3.984

3.  MRI Imaging of the Hemodynamic Vasculature of Neuroblastoma Predicts Response to Antiangiogenic Treatment.

Authors:  Konstantinos Zormpas-Petridis; Neil P Jerome; Matthew D Blackledge; Fernando Carceller; Evon Poon; Matthew Clarke; Ciara M McErlean; Giuseppe Barone; Alexander Koers; Sucheta J Vaidya; Lynley V Marshall; Andrew D J Pearson; Lucas Moreno; John Anderson; Neil Sebire; Kieran McHugh; Dow-Mu Koh; Yinyin Yuan; Louis Chesler; Simon P Robinson; Yann Jamin
Journal:  Cancer Res       Date:  2019-03-15       Impact factor: 12.701

Review 4.  Choosing The Right Animal Model for Renal Cancer Research.

Authors:  Paweł Sobczuk; Anna Brodziak; Mohammed Imran Khan; Stuti Chhabra; Michał Fiedorowicz; Marlena Wełniak-Kamińska; Kamil Synoradzki; Ewa Bartnik; Agnieszka Cudnoch-Jędrzejewska; Anna M Czarnecka
Journal:  Transl Oncol       Date:  2020-02-22       Impact factor: 4.243

Review 5.  Preclinical Applications of Multi-Platform Imaging in Animal Models of Cancer.

Authors:  Natalie J Serkova; Kristine Glunde; Chad R Haney; Mohammed Farhoud; Alexandra De Lille; Elizabeth F Redente; Dmitri Simberg; David C Westerly; Lynn Griffin; Ralph P Mason
Journal:  Cancer Res       Date:  2020-12-01       Impact factor: 13.312

6.  DCE-MRI of Sunitinib-Induced Changes in Tumor Microvasculature and Hypoxia: A Study of Pancreatic Ductal Adenocarcinoma Xenografts.

Authors:  Catherine S Wegner; Anette Hauge; Trude G Simonsen; Jon-Vidar Gaustad; Lise Mari K Andersen; Einar K Rofstad
Journal:  Neoplasia       Date:  2018-06-19       Impact factor: 5.715

7.  miR-93-3p inhibition suppresses clear cell renal cell carcinoma proliferation, metastasis and invasion.

Authors:  Lu Wang; Guang Yang; Xiangwei Zhu; Ziqi Wang; Hongzhi Wang; Yang Bai; Pengcheng Sun; Li Peng; Wei Wei; Guang Chen; Guangbin Li; Andrey A Zamyatnin; Peter V Glybochko; Wanhai Xu
Journal:  Oncotarget       Date:  2017-08-24

Review 8.  Flaming the fight against cancer cells: the role of microRNA-93.

Authors:  Milad Ashrafizadeh; Masoud Najafi; Reza Mohammadinejad; Tahereh Farkhondeh; Saeed Samarghandian
Journal:  Cancer Cell Int       Date:  2020-06-29       Impact factor: 5.722

9.  Patient-derived organoids model treatment response of metastatic gastrointestinal cancers.

Authors:  Georgios Vlachogiannis; Somaieh Hedayat; Alexandra Vatsiou; Yann Jamin; Javier Fernández-Mateos; Khurum Khan; Andrea Lampis; Katherine Eason; Ian Huntingford; Rosemary Burke; Mihaela Rata; Dow-Mu Koh; Nina Tunariu; David Collins; Sanna Hulkki-Wilson; Chanthirika Ragulan; Inmaculada Spiteri; Sing Yu Moorcraft; Ian Chau; Sheela Rao; David Watkins; Nicos Fotiadis; Maria Bali; Mahnaz Darvish-Damavandi; Hazel Lote; Zakaria Eltahir; Elizabeth C Smyth; Ruwaida Begum; Paul A Clarke; Jens C Hahne; Mitchell Dowsett; Johann de Bono; Paul Workman; Anguraj Sadanandam; Matteo Fassan; Owen J Sansom; Suzanne Eccles; Naureen Starling; Chiara Braconi; Andrea Sottoriva; Simon P Robinson; David Cunningham; Nicola Valeri
Journal:  Science       Date:  2018-02-23       Impact factor: 47.728

10.  Diffusion-Weighted MRI Is Insensitive to Changes in the Tumor Microenvironment Induced by Antiangiogenic Therapy.

Authors:  Anette Hauge; Catherine S Wegner; Jon-Vidar Gaustad; Trude G Simonsen; Lise Mari K Andersen; Einar K Rofstad
Journal:  Transl Oncol       Date:  2018-07-21       Impact factor: 4.243

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