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Validation of diffusion MRI as a biomarker for efficacy using randomized phase III trial of bevacizumab with or without VB-111 in recurrent glioblastoma

BACKGROUND: Evidence from single and multicenter phase II trials have suggested diffusion MRI is a predictive imaging biomarker for survival benefit in recurrent glioblastoma (rGBM) treated with anti-VEGF therapy. The current study confirms these findings in a large, randomized phase III clinical tr...

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Autores principales: Ellingson, Benjamin M, Patel, Kunal, Wang, Chencai, Raymond, Catalina, Brenner, Andrew, de Groot, John F, Butowski, Nicholas A, Zach, Leor, Campian, Jian L, Schlossman, Jacob, Rizvi, Shan, Cohen, Yael C, Lowenton-Spier, Noa, Minei, Tamar Rachmilewitz, Shmueli, Shifra Fain, Wen, Patrick Y, Cloughesy, Timothy F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350152/
https://www.ncbi.nlm.nih.gov/pubmed/34377989
http://dx.doi.org/10.1093/noajnl/vdab082
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author Ellingson, Benjamin M
Patel, Kunal
Wang, Chencai
Raymond, Catalina
Brenner, Andrew
de Groot, John F
Butowski, Nicholas A
Zach, Leor
Campian, Jian L
Schlossman, Jacob
Rizvi, Shan
Cohen, Yael C
Lowenton-Spier, Noa
Minei, Tamar Rachmilewitz
Shmueli, Shifra Fain
Wen, Patrick Y
Cloughesy, Timothy F
author_facet Ellingson, Benjamin M
Patel, Kunal
Wang, Chencai
Raymond, Catalina
Brenner, Andrew
de Groot, John F
Butowski, Nicholas A
Zach, Leor
Campian, Jian L
Schlossman, Jacob
Rizvi, Shan
Cohen, Yael C
Lowenton-Spier, Noa
Minei, Tamar Rachmilewitz
Shmueli, Shifra Fain
Wen, Patrick Y
Cloughesy, Timothy F
author_sort Ellingson, Benjamin M
collection PubMed
description BACKGROUND: Evidence from single and multicenter phase II trials have suggested diffusion MRI is a predictive imaging biomarker for survival benefit in recurrent glioblastoma (rGBM) treated with anti-VEGF therapy. The current study confirms these findings in a large, randomized phase III clinical trial. METHODS: Patients with rGBM were enrolled in a phase III randomized (1:1), controlled trial (NCT02511405) to compare the efficacy and safety of bevacizumab (BV) versus BV in combination with ofranergene obadenovec (BV+VB-111), an anti-cancer viral therapy. In 170 patients with diffusion MRI available, pretreatment enhancing tumor volume and ADC histogram analysis were used to phenotype patients as having high (>1.24 µm(2)/ms) or low (<1.24 µm(2)/ms) ADC(L), the mean value of the lower peak of the ADC histogram, within the contrast enhancing tumor. RESULTS: Baseline tumor volume (P = .3460) and ADC(L) (P = .2143) did not differ between treatment arms. Univariate analysis showed patients with high ADC(L) had a significant survival advantage in all patients (P = .0006), as well as BV (P = .0159) and BV+VB-111 individually (P = .0262). Multivariable Cox regression accounting for treatment arm, age, baseline tumor volume, and ADC(L) identified continuous measures of tumor volume (P < .0001; HR = 1.0212) and ADC(L) phenotypes (P = .0012; HR = 0.5574) as independent predictors of OS. CONCLUSION: Baseline diffusion MRI and tumor volume are independent imaging biomarkers of OS in rGBM treated with BV or BV+VB-111.
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spelling pubmed-83501522021-08-09 Validation of diffusion MRI as a biomarker for efficacy using randomized phase III trial of bevacizumab with or without VB-111 in recurrent glioblastoma Ellingson, Benjamin M Patel, Kunal Wang, Chencai Raymond, Catalina Brenner, Andrew de Groot, John F Butowski, Nicholas A Zach, Leor Campian, Jian L Schlossman, Jacob Rizvi, Shan Cohen, Yael C Lowenton-Spier, Noa Minei, Tamar Rachmilewitz Shmueli, Shifra Fain Wen, Patrick Y Cloughesy, Timothy F Neurooncol Adv Clinical Investigations BACKGROUND: Evidence from single and multicenter phase II trials have suggested diffusion MRI is a predictive imaging biomarker for survival benefit in recurrent glioblastoma (rGBM) treated with anti-VEGF therapy. The current study confirms these findings in a large, randomized phase III clinical trial. METHODS: Patients with rGBM were enrolled in a phase III randomized (1:1), controlled trial (NCT02511405) to compare the efficacy and safety of bevacizumab (BV) versus BV in combination with ofranergene obadenovec (BV+VB-111), an anti-cancer viral therapy. In 170 patients with diffusion MRI available, pretreatment enhancing tumor volume and ADC histogram analysis were used to phenotype patients as having high (>1.24 µm(2)/ms) or low (<1.24 µm(2)/ms) ADC(L), the mean value of the lower peak of the ADC histogram, within the contrast enhancing tumor. RESULTS: Baseline tumor volume (P = .3460) and ADC(L) (P = .2143) did not differ between treatment arms. Univariate analysis showed patients with high ADC(L) had a significant survival advantage in all patients (P = .0006), as well as BV (P = .0159) and BV+VB-111 individually (P = .0262). Multivariable Cox regression accounting for treatment arm, age, baseline tumor volume, and ADC(L) identified continuous measures of tumor volume (P < .0001; HR = 1.0212) and ADC(L) phenotypes (P = .0012; HR = 0.5574) as independent predictors of OS. CONCLUSION: Baseline diffusion MRI and tumor volume are independent imaging biomarkers of OS in rGBM treated with BV or BV+VB-111. Oxford University Press 2021-06-19 /pmc/articles/PMC8350152/ /pubmed/34377989 http://dx.doi.org/10.1093/noajnl/vdab082 Text en © The Author(s) 2021. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Clinical Investigations
Ellingson, Benjamin M
Patel, Kunal
Wang, Chencai
Raymond, Catalina
Brenner, Andrew
de Groot, John F
Butowski, Nicholas A
Zach, Leor
Campian, Jian L
Schlossman, Jacob
Rizvi, Shan
Cohen, Yael C
Lowenton-Spier, Noa
Minei, Tamar Rachmilewitz
Shmueli, Shifra Fain
Wen, Patrick Y
Cloughesy, Timothy F
Validation of diffusion MRI as a biomarker for efficacy using randomized phase III trial of bevacizumab with or without VB-111 in recurrent glioblastoma
title Validation of diffusion MRI as a biomarker for efficacy using randomized phase III trial of bevacizumab with or without VB-111 in recurrent glioblastoma
title_full Validation of diffusion MRI as a biomarker for efficacy using randomized phase III trial of bevacizumab with or without VB-111 in recurrent glioblastoma
title_fullStr Validation of diffusion MRI as a biomarker for efficacy using randomized phase III trial of bevacizumab with or without VB-111 in recurrent glioblastoma
title_full_unstemmed Validation of diffusion MRI as a biomarker for efficacy using randomized phase III trial of bevacizumab with or without VB-111 in recurrent glioblastoma
title_short Validation of diffusion MRI as a biomarker for efficacy using randomized phase III trial of bevacizumab with or without VB-111 in recurrent glioblastoma
title_sort validation of diffusion mri as a biomarker for efficacy using randomized phase iii trial of bevacizumab with or without vb-111 in recurrent glioblastoma
topic Clinical Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350152/
https://www.ncbi.nlm.nih.gov/pubmed/34377989
http://dx.doi.org/10.1093/noajnl/vdab082
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