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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...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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. |
format | Online Article Text |
id | pubmed-8350152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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