Literature DB >> 27634566

Dynamic Contrast-Enhanced Magnetic Resonance Imaging as a Pharmacodynamic Biomarker for Pazopanib in Metastatic Renal Carcinoma.

Randy F Sweis1, Milica Medved2, Shannon Towey2, Gregory S Karczmar2, Aytekin Oto2, Russell Z Szmulewitz1, Peter H O'Donnell1, Paul Fishkin3, Theodore Karrison1, Walter M Stadler4.   

Abstract

INTRODUCTION/
BACKGROUND: Traditional imaging assessment criteria might not correlate well with clinical benefit from vascular endothelial growth factor pathway-directed therapy in metastatic renal cancer. Preclinical data suggest tumor growth is preceded by a rise in Ktrans level, a parameter derived from dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) that reflects vascular permeability. We thus hypothesized that Ktrans might be a predictive biomarker for pazopanib. PATIENTS AND METHODS: Patients with metastatic renal cancer were treated with pazopanib at 800 mg oral daily until disease progression. MRI of the abdomen and pelvis with a DCE-MRI sequence was obtained at baseline and every 8 weeks.
RESULTS: Seventy-three DCE-MRI scans were completed and 66 were technically assessable. Of the 17 patients with at least 1 DCE-MRI scan after the baseline scan, 16 (94%) had a decline in Ktrans level. Changes in Ktrans compared with baseline after 1, 8, 16, and 24 weeks were -49%, -65%, -63%, and -53%, respectively (P = .0052, repeated measures analysis of variance). The median Ktrans nadir occurred at 8 weeks. The median progression-free survival (PFS) was 32.1 weeks. PFS was longer in patients with higher baseline Ktrans values (P = .036, log rank). Baseline Ktrans did not reach significance in a Cox proportional hazard model including clinical prognostic index and previous treatments (P = .083).
CONCLUSION: We show that Ktrans is a pharmacodynamic biomarker for pazopanib therapy in metastatic renal cancer. Because of the small sample size, the predictive capacity of Ktrans recovery could not be assessed, but baseline Ktrans correlated with PFS.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  DCE-MRI; K(trans); Progression; Renal cancer; VEGF receptor tyrosine kinase

Mesh:

Substances:

Year:  2016        PMID: 27634566      PMCID: PMC5315677          DOI: 10.1016/j.clgc.2016.08.011

Source DB:  PubMed          Journal:  Clin Genitourin Cancer        ISSN: 1558-7673            Impact factor:   2.872


  18 in total

1.  Diagnosis of suspicious breast lesions using an empirical mathematical model for dynamic contrast-enhanced MRI.

Authors:  Xiaobing Fan; Milica Medved; Gregory S Karczmar; Cheng Yang; Sean Foxley; Sanaz Arkani; Wendy Recant; Marta A Zamora; Hiroyuki Abe; Gillian M Newstead
Journal:  Magn Reson Imaging       Date:  2006-11-30       Impact factor: 2.546

Review 2.  Radiological evaluation of response to treatment: application to metastatic renal cancers receiving anti-angiogenic treatment.

Authors:  S Ammari; R Thiam; C A Cuenod; S Oudard; A Hernigou; C Grataloup; N Siauve; J Medioni; L S Fournier
Journal:  Diagn Interv Imaging       Date:  2014-06-03       Impact factor: 4.026

3.  Validation and extension of the Memorial Sloan-Kettering prognostic factors model for survival in patients with previously untreated metastatic renal cell carcinoma.

Authors:  Tarek M Mekhail; Rony M Abou-Jawde; Gabriel Boumerhi; Sareena Malhi; Laura Wood; Paul Elson; Ronald Bukowski
Journal:  J Clin Oncol       Date:  2005-02-01       Impact factor: 44.544

4.  Renal cancer resistance to antiangiogenic therapy is delayed by restoration of angiostatic signaling.

Authors:  Rupal S Bhatt; Xiaoen Wang; Liang Zhang; Michael P Collins; Sabina Signoretti; David C Alsop; S Nahum Goldberg; Michael B Atkins; James W Mier
Journal:  Mol Cancer Ther       Date:  2010-08-10       Impact factor: 6.261

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.  New model for analysis of dynamic contrast-enhanced MRI data distinguishes metastatic from nonmetastatic transplanted rodent prostate tumors.

Authors:  Xiaobing Fan; Milica Medved; Jonathan N River; Marta Zamora; Claire Corot; Philippe Robert; Philippe Bourrinet; Martin Lipton; Rita M Culp; Gregory S Karczmar
Journal:  Magn Reson Med       Date:  2004-03       Impact factor: 4.668

7.  Semiquantitative analysis of dynamic contrast enhanced MRI in cancer patients: Variability and changes in tumor tissue over time.

Authors:  Milica Medved; Greg Karczmar; Cheng Yang; James Dignam; Thomas F Gajewski; Hedy Kindler; Everett Vokes; Peter MacEneany; Myrosia T Mitchell; Walter M Stadler
Journal:  J Magn Reson Imaging       Date:  2004-07       Impact factor: 4.813

Review 8.  Dynamic contrast-enhanced MRI in clinical oncology: current status and future directions.

Authors:  Anwar R Padhani
Journal:  J Magn Reson Imaging       Date:  2002-10       Impact factor: 4.813

Review 9.  Imaging tumor vascular heterogeneity and angiogenesis using dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Alan Jackson; James P B O'Connor; Geoff J M Parker; Gordon C Jayson
Journal:  Clin Cancer Res       Date:  2007-06-15       Impact factor: 12.531

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

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  4 in total

Review 1.  Clinical Pharmacokinetics and Pharmacodynamics of Pazopanib: Towards Optimized Dosing.

Authors:  Remy B Verheijen; Jos H Beijnen; Jan H M Schellens; Alwin D R Huitema; Neeltje Steeghs
Journal:  Clin Pharmacokinet       Date:  2017-09       Impact factor: 6.447

2.  Dynamic Contrast-Enhanced MRI in the Abdomen of Mice with High Temporal and Spatial Resolution Using Stack-of-Stars Sampling and KWIC Reconstruction.

Authors:  Stephen Pickup; Miguel Romanello; Mamta Gupta; Hee Kwon Song; Rong Zhou
Journal:  Tomography       Date:  2022-08-24

3.  Functional Parameters Derived from Magnetic Resonance Imaging Reflect Vascular Morphology in Preclinical Tumors and in Human Liver Metastases.

Authors:  Pavitra Kannan; Warren W Kretzschmar; Helen Winter; Daniel Warren; Russell Bates; Philip D Allen; Nigar Syed; Benjamin Irving; Bartlomiej W Papiez; Jakob Kaeppler; Bosjtan Markelc; Paul Kinchesh; Stuart Gilchrist; Sean Smart; Julia A Schnabel; Tim Maughan; Adrian L Harris; Ruth J Muschel; Mike Partridge; Ricky A Sharma; Veerle Kersemans
Journal:  Clin Cancer Res       Date:  2018-06-29       Impact factor: 12.531

Review 4.  Pharmacodynamic and Pharmacokinetic Markers For Anti-angiogenic Cancer Therapy: Implications for Dosing and Selection of Patients.

Authors:  Matteo Morotti; Prashanth Hari Dass; Adrian L Harris; Simon Lord
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2018-04       Impact factor: 2.441

  4 in total

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