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Prospective prediction of clinical drug response in high-grade gliomas using an ex vivo 3D cell culture assay

BACKGROUND: Clinical outcomes in high-grade glioma (HGG) have remained relatively unchanged over the last 3 decades with only modest increases in overall survival. Despite the validation of biomarkers to classify treatment response, most newly diagnosed (ND) patients receive the same treatment regim...

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Autores principales: Shuford, Stephen, Lipinski, Lindsay, Abad, Ajay, Smith, Ashley M, Rayner, Melissa, O’Donnell, Lauren, Stuart, Jeremy, Mechtler, Laszlo L, Fabiano, Andrew J, Edenfield, Jeff, Kanos, Charles, Gardner, Stephen, Hodge, Philip, Lynn, Michael, Butowski, Nicholas A, Han, Seunggu J, Redjal, Navid, Crosswell, Howland E, Vibat, Cecile Rose T, Holmes, Lillia, Gevaert, Matthew, Fenstermaker, Robert A, DesRochers, Teresa M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207705/
https://www.ncbi.nlm.nih.gov/pubmed/34142085
http://dx.doi.org/10.1093/noajnl/vdab065
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author Shuford, Stephen
Lipinski, Lindsay
Abad, Ajay
Smith, Ashley M
Rayner, Melissa
O’Donnell, Lauren
Stuart, Jeremy
Mechtler, Laszlo L
Fabiano, Andrew J
Edenfield, Jeff
Kanos, Charles
Gardner, Stephen
Hodge, Philip
Lynn, Michael
Butowski, Nicholas A
Han, Seunggu J
Redjal, Navid
Crosswell, Howland E
Vibat, Cecile Rose T
Holmes, Lillia
Gevaert, Matthew
Fenstermaker, Robert A
DesRochers, Teresa M
author_facet Shuford, Stephen
Lipinski, Lindsay
Abad, Ajay
Smith, Ashley M
Rayner, Melissa
O’Donnell, Lauren
Stuart, Jeremy
Mechtler, Laszlo L
Fabiano, Andrew J
Edenfield, Jeff
Kanos, Charles
Gardner, Stephen
Hodge, Philip
Lynn, Michael
Butowski, Nicholas A
Han, Seunggu J
Redjal, Navid
Crosswell, Howland E
Vibat, Cecile Rose T
Holmes, Lillia
Gevaert, Matthew
Fenstermaker, Robert A
DesRochers, Teresa M
author_sort Shuford, Stephen
collection PubMed
description BACKGROUND: Clinical outcomes in high-grade glioma (HGG) have remained relatively unchanged over the last 3 decades with only modest increases in overall survival. Despite the validation of biomarkers to classify treatment response, most newly diagnosed (ND) patients receive the same treatment regimen. This study aimed to determine whether a prospective functional assay that provides a direct, live tumor cell-based drug response prediction specific for each patient could accurately predict clinical drug response prior to treatment. METHODS: A modified 3D cell culture assay was validated to establish baseline parameters including drug concentrations, timing, and reproducibility. Live tumor tissue from HGG patients were tested in the assay to establish response parameters. Clinical correlation was determined between prospective ex vivo response and clinical response in ND HGG patients enrolled in 3D-PREDICT (ClinicalTrials.gov Identifier: NCT03561207). Clinical case studies were examined for relapsed HGG patients enrolled on 3D-PREDICT, prospectively assayed for ex vivo drug response, and monitored for follow-up. RESULTS: Absent biomarker stratification, the test accurately predicted clinical response/nonresponse to temozolomide in 17/20 (85%, P = .007) ND patients within 7 days of their surgery, prior to treatment initiation. Test-predicted responders had a median overall survival post-surgery of 11.6 months compared to 5.9 months for test-predicted nonresponders (P = .0376). Case studies provided examples of the clinical utility of the assay predictions and their impact upon treatment decisions resulting in positive clinical outcomes. CONCLUSION: This study both validates the developed assay analytically and clinically and provides case studies of its implementation in clinical practice.
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spelling pubmed-82077052021-06-16 Prospective prediction of clinical drug response in high-grade gliomas using an ex vivo 3D cell culture assay Shuford, Stephen Lipinski, Lindsay Abad, Ajay Smith, Ashley M Rayner, Melissa O’Donnell, Lauren Stuart, Jeremy Mechtler, Laszlo L Fabiano, Andrew J Edenfield, Jeff Kanos, Charles Gardner, Stephen Hodge, Philip Lynn, Michael Butowski, Nicholas A Han, Seunggu J Redjal, Navid Crosswell, Howland E Vibat, Cecile Rose T Holmes, Lillia Gevaert, Matthew Fenstermaker, Robert A DesRochers, Teresa M Neurooncol Adv Basic and Translational Investigations BACKGROUND: Clinical outcomes in high-grade glioma (HGG) have remained relatively unchanged over the last 3 decades with only modest increases in overall survival. Despite the validation of biomarkers to classify treatment response, most newly diagnosed (ND) patients receive the same treatment regimen. This study aimed to determine whether a prospective functional assay that provides a direct, live tumor cell-based drug response prediction specific for each patient could accurately predict clinical drug response prior to treatment. METHODS: A modified 3D cell culture assay was validated to establish baseline parameters including drug concentrations, timing, and reproducibility. Live tumor tissue from HGG patients were tested in the assay to establish response parameters. Clinical correlation was determined between prospective ex vivo response and clinical response in ND HGG patients enrolled in 3D-PREDICT (ClinicalTrials.gov Identifier: NCT03561207). Clinical case studies were examined for relapsed HGG patients enrolled on 3D-PREDICT, prospectively assayed for ex vivo drug response, and monitored for follow-up. RESULTS: Absent biomarker stratification, the test accurately predicted clinical response/nonresponse to temozolomide in 17/20 (85%, P = .007) ND patients within 7 days of their surgery, prior to treatment initiation. Test-predicted responders had a median overall survival post-surgery of 11.6 months compared to 5.9 months for test-predicted nonresponders (P = .0376). Case studies provided examples of the clinical utility of the assay predictions and their impact upon treatment decisions resulting in positive clinical outcomes. CONCLUSION: This study both validates the developed assay analytically and clinically and provides case studies of its implementation in clinical practice. Oxford University Press 2021-05-07 /pmc/articles/PMC8207705/ /pubmed/34142085 http://dx.doi.org/10.1093/noajnl/vdab065 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 Basic and Translational Investigations
Shuford, Stephen
Lipinski, Lindsay
Abad, Ajay
Smith, Ashley M
Rayner, Melissa
O’Donnell, Lauren
Stuart, Jeremy
Mechtler, Laszlo L
Fabiano, Andrew J
Edenfield, Jeff
Kanos, Charles
Gardner, Stephen
Hodge, Philip
Lynn, Michael
Butowski, Nicholas A
Han, Seunggu J
Redjal, Navid
Crosswell, Howland E
Vibat, Cecile Rose T
Holmes, Lillia
Gevaert, Matthew
Fenstermaker, Robert A
DesRochers, Teresa M
Prospective prediction of clinical drug response in high-grade gliomas using an ex vivo 3D cell culture assay
title Prospective prediction of clinical drug response in high-grade gliomas using an ex vivo 3D cell culture assay
title_full Prospective prediction of clinical drug response in high-grade gliomas using an ex vivo 3D cell culture assay
title_fullStr Prospective prediction of clinical drug response in high-grade gliomas using an ex vivo 3D cell culture assay
title_full_unstemmed Prospective prediction of clinical drug response in high-grade gliomas using an ex vivo 3D cell culture assay
title_short Prospective prediction of clinical drug response in high-grade gliomas using an ex vivo 3D cell culture assay
title_sort prospective prediction of clinical drug response in high-grade gliomas using an ex vivo 3d cell culture assay
topic Basic and Translational Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207705/
https://www.ncbi.nlm.nih.gov/pubmed/34142085
http://dx.doi.org/10.1093/noajnl/vdab065
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