Literature DB >> 33392506

Vascular dysfunction promotes regional hypoxia after bevacizumab therapy in recurrent glioblastoma patients.

Elizabeth R Gerstner1,2, Kyrre E Emblem3, Yi-Fen Yen4,2, Jorg Dietrich1,2, Justin T Jordan1,2, Ciprian Catana4,2, Kevin Lou Wenchin4, Jacob M Hooker4,2, Dan G Duda5,2, Bruce R Rosen4,2, Jayashree Kalpathy-Cramer4,2, Rakesh K Jain5,2, Tracy T Batchelor6,2.   

Abstract

BACKGROUND: Hypoxia is a driver of treatment resistance in glioblastoma. Antiangiogenic agents may transiently normalize blood vessels and decrease hypoxia before excessive pruning of vessels increases hypoxia. The time window of normalization is dose and time dependent. We sought to determine how VEGF blockade with bevacizumab modulates tumor vasculature and the impact that those vascular changes have on hypoxia in recurrent glioblastoma patients.
METHODS: We measured tumor volume, vascular permeability (Ktrans), perfusion parameters (cerebral blood flow/volume, vessel caliber, and mean transit time), and regions of hypoxia in patients with recurrent glioblastoma before and after treatment with bevacizumab alone or with lomustine using [18F]FMISO PET-MRI. We also examined serial changes in plasma biomarkers of angiogenesis and inflammation.
RESULTS: Eleven patients were studied. The magnitude of global tumor hypoxia was variable across these 11 patients prior to treatment and it did not significantly change after bevacizumab. The hypoxic regions had an inefficient vasculature characterized by elevated cerebral blood flow/volume and increased vessel caliber. In a subset of patients, there were tumor subregions with decreased mean transit times and a decrease in hypoxia, suggesting heterogeneous improvement in vascular efficiency. Bevacizumab significantly changed known pharmacodynamic biomarkers such as plasma VEGF and PlGF.
CONCLUSIONS: The vascular signature in hypoxic tumor regions indicates a disorganized vasculature which, in most tumors, does not significantly change after bevacizumab treatment. While some tumor regions showed improved vascular efficiency following treatment, bevacizumab did not globally alter hypoxia or normalize tumor vasculature in glioblastoma.
© The Author(s) 2020. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.

Entities:  

Keywords:  antiangiogenic therapy; glioblastoma; hypoxia; vascular normalization

Year:  2020        PMID: 33392506      PMCID: PMC7764510          DOI: 10.1093/noajnl/vdaa157

Source DB:  PubMed          Journal:  Neurooncol Adv        ISSN: 2632-2498


  35 in total

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Authors:  Veronique Lorgis; Geric Maura; Guillaume Coppa; Kahina Hassani; Luc Taillandier; Bruno Chauffert; Lionel Apetoh; Sylvain Ladoire; François Ghiringhelli
Journal:  J Neurooncol       Date:  2011-11-11       Impact factor: 4.130

2.  Assessment of the morphological and functional effects of the anti-angiogenic agent SU11657 on 9L gliosarcoma vasculature using dynamic susceptibility contrast MRI.

Authors:  C C Quarles; K M Schmainda
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Authors:  Elizabeth R Gerstner; Xiaobu Ye; Dan G Duda; Michael A Levine; Tom Mikkelsen; Thomas J Kaley; Jeffrey J Olson; Burt L Nabors; Manmeet S Ahluwalia; Patrick Y Wen; Rakesh K Jain; Tracy T Batchelor; Stuart Grossman
Journal:  Neuro Oncol       Date:  2015-05-24       Impact factor: 12.300

4.  In Vivo Relationship Between Hypoxia and Angiogenesis in Human Glioblastoma: A Multimodal Imaging Study.

Authors:  Keven Ferreira da Ponte; David Hassanein Berro; Solène Collet; Jean-Marc Constans; Evelyne Emery; Samuel Valable; Jean-Sébastien Guillamo
Journal:  J Nucl Med       Date:  2017-06-08       Impact factor: 10.057

5.  A 31-channel MR brain array coil compatible with positron emission tomography.

Authors:  Christin Y Sander; Boris Keil; Daniel B Chonde; Bruce R Rosen; Ciprian Catana; Lawrence L Wald
Journal:  Magn Reson Med       Date:  2014-07-07       Impact factor: 4.668

6.  Enhanced anticancer properties of lomustine in conjunction with docosahexaenoic acid in glioblastoma cell lines.

Authors:  Kevin A Harvey; Zhidong Xu; M Reza Saaddatzadeh; Haiyan Wang; Karen Pollok; Aaron A Cohen-Gadol; Rafat A Siddiqui
Journal:  J Neurosurg       Date:  2014-12-19       Impact factor: 5.115

7.  Assessment of tumor oxygenation and its impact on treatment response in bevacizumab-treated recurrent glioblastoma.

Authors:  David Bonekamp; Kim Mouridsen; Alexander Radbruch; Felix T Kurz; Oliver Eidel; Antje Wick; Heinz-Peter Schlemmer; Wolfgang Wick; Martin Bendszus; Leif Østergaard; Philipp Kickingereder
Journal:  J Cereb Blood Flow Metab       Date:  2016-07-21       Impact factor: 6.200

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Authors:  Mieko Yanagisawa; Keigo Yorozu; Mitsue Kurasawa; Kohnosuke Nakano; Koh Furugaki; Yoriko Yamashita; Kazushige Mori; Kaori Fujimoto-Ouchi
Journal:  Anticancer Drugs       Date:  2010-08       Impact factor: 2.248

9.  ACRIN 6684: Assessment of Tumor Hypoxia in Newly Diagnosed Glioblastoma Using 18F-FMISO PET and MRI.

Authors:  Elizabeth R Gerstner; Zheng Zhang; James R Fink; Mark Muzi; Lucy Hanna; Erin Greco; Melissa Prah; Kathleen M Schmainda; Akiva Mintz; Lale Kostakoglu; Edward A Eikman; Benjamin M Ellingson; Eva-Maria Ratai; A Gregory Sorensen; Daniel P Barboriak; David A Mankoff
Journal:  Clin Cancer Res       Date:  2016-05-16       Impact factor: 12.531

10.  DeepNeuro: an open-source deep learning toolbox for neuroimaging.

Authors:  Andrew Beers; James Brown; Ken Chang; Katharina Hoebel; Jay Patel; K Ina Ly; Sara M Tolaney; Priscilla Brastianos; Bruce Rosen; Elizabeth R Gerstner; Jayashree Kalpathy-Cramer
Journal:  Neuroinformatics       Date:  2021-01
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2.  Magnetic resonance spectroscopic imaging for detecting metabolic changes in glioblastoma after anti-angiogenic therapy-a systematic literature review.

Authors:  Mohamed E El-Abtah; Pratik Talati; Jorg Dietrich; Elizabeth R Gerstner; Eva-Maria Ratai
Journal:  Neurooncol Adv       Date:  2022-06-27

3.  The Prognostic Value of Pre-treatment Hemoglobin (Hb) in Patients With Advanced or Metastatic Gastric Cancer Treated With Immunotherapy.

Authors:  Miaomiao Gou; Yong Zhang; Tiee Liu; Tongtong Qu; Haiyan Si; Zhikuan Wang; Huan Yan; Niansong Qian; Guanghai Dai
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  3 in total

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