Literature DB >> 20648644

Surrogate MR markers of response to chemo- or radiotherapy in association with co-treatments: a retrospective analysis of multi-modal studies.

Bénédicte F Jordan1, Bernard Gallez.   

Abstract

The study of magnetic resonance (MR) markers over the past decade has provided evidence that the tumor microenvironnement and hemodynamics play a major role in determining tumor response to therapy. The aim of the present work is to predict and monitor the efficacy of co-treatments to radio- and chemotherapy by noninvasive MR imaging. Ten different co-treatments were involved in this retrospective analysis of our previously published data, including NO-mediated co-treatments (insulin and isosorbide dinitrate), anti-inflammatory drugs (hydrocortisone, NS-398), anti-angiogenic agents (thalidomide, SU5416 and ZD6474), a vasoactive agent (xanthinol nicotinate), botulinum toxin and carbogen breathing. Dynamic contrast enhanced (DCE) MRI, intrinsic susceptibility-weighted (BOLD) MRI and electronic paramagnetic resonance (EPR) oximetry all reflect tumor microenvironment hemodynamic variables that are known to influence tumor response. Eight MR-derived parameters (markers) were tested for their ability to predict therapeutic outcome (factor of increase in regrowth delay) in experimental tumor models (TLT and FSaII) after radiation therapy and/or chemotherapy with cyclophosphamide, namely tumor pO₂ and O₂ consumption rate (using EPR oximetry); tumor blood flow and permeability, i.e. V(p), K(trans), K(ep) and percentage of perfused vessels (using DCE-MRI); and BOLD signal intensity and R₂* (using functional MRI). This multi-modal comparison of co-treatment efficacy points out the limitations of each MR marker and identifies in vivo pO₂ as a relevant endpoint for radiation therapy. DCE parameters (V(p) and K(ep)) were identified as a relevant endpoints for cyclophosphamide chemotherapy in our tumor models. This study helps qualify relevant imaging endpoints in the preclinical setting of cancer therapy.
Copyright © 2010 John Wiley & Sons, Ltd.

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Year:  2010        PMID: 20648644     DOI: 10.1002/cmmi.397

Source DB:  PubMed          Journal:  Contrast Media Mol Imaging        ISSN: 1555-4309            Impact factor:   3.161


  7 in total

1.  EPR oxygen images predict tumor control by a 50% tumor control radiation dose.

Authors:  Martyna Elas; Jessica M Magwood; Brandi Butler; Chanel Li; Rona Wardak; Rebekah DeVries; Eugene D Barth; Boris Epel; Samuel Rubinstein; Charles A Pelizzari; Ralph R Weichselbaum; Howard J Halpern
Journal:  Cancer Res       Date:  2013-07-16       Impact factor: 12.701

2.  Targeting tumor perfusion and oxygenation to improve the outcome of anticancer therapy.

Authors:  Bénédicte F Jordan; Pierre Sonveaux
Journal:  Front Pharmacol       Date:  2012-05-21       Impact factor: 5.810

3.  Diffusion MRI and novel texture analysis in osteosarcoma xenotransplants predicts response to anti-checkpoint therapy.

Authors:  Parastou Foroutan; Jenny M Kreahling; David L Morse; Olya Grove; Mark C Lloyd; Damon Reed; Meera Raghavan; Soner Altiok; Gary V Martinez; Robert J Gillies
Journal:  PLoS One       Date:  2013-12-16       Impact factor: 3.240

Review 4.  Assessing Tumor Oxygenation for Predicting Outcome in Radiation Oncology: A Review of Studies Correlating Tumor Hypoxic Status and Outcome in the Preclinical and Clinical Settings.

Authors:  Florence Colliez; Bernard Gallez; Bénédicte F Jordan
Journal:  Front Oncol       Date:  2017-01-25       Impact factor: 6.244

5.  MR-CBCT image-guided system for radiotherapy of orthotopic rat prostate tumors.

Authors:  Tsuicheng D Chiu; Tatsuya J Arai; James Campbell Iii; Steve B Jiang; Ralph P Mason; Strahinja Stojadinovic
Journal:  PLoS One       Date:  2018-05-30       Impact factor: 3.240

Review 6.  The Role of Imaging Biomarkers to Guide Pharmacological Interventions Targeting Tumor Hypoxia.

Authors:  Bernard Gallez
Journal:  Front Pharmacol       Date:  2022-07-15       Impact factor: 5.988

Review 7.  Natural and Designed Toxins for Precise Therapy: Modern Approaches in Experimental Oncology.

Authors:  Olga Shilova; Elena Shramova; Galina Proshkina; Sergey Deyev
Journal:  Int J Mol Sci       Date:  2021-05-07       Impact factor: 5.923

  7 in total

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