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Prediction of Early Response to Immunotherapy: DCE-US as a New Biomarker

SIMPLE SUMMARY: Immune checkpoint inhibitors (ICI) have revolutionized cancer care. However, assessing the efficacy of these new molecules with targeted therapeutic responses may induce too much delay when using classical biomarkers derived from morphological imaging (CT). The objective of our study...

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Autores principales: Naccache, Raphael, Belkouchi, Younes, Lawrance, Littisha, Benatsou, Baya, Hadchiti, Joya, Cournede, Paul-Henry, Ammari, Samy, Talbot, Hugues, Lassau, Nathalie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8909556/
https://www.ncbi.nlm.nih.gov/pubmed/35267645
http://dx.doi.org/10.3390/cancers14051337
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author Naccache, Raphael
Belkouchi, Younes
Lawrance, Littisha
Benatsou, Baya
Hadchiti, Joya
Cournede, Paul-Henry
Ammari, Samy
Talbot, Hugues
Lassau, Nathalie
author_facet Naccache, Raphael
Belkouchi, Younes
Lawrance, Littisha
Benatsou, Baya
Hadchiti, Joya
Cournede, Paul-Henry
Ammari, Samy
Talbot, Hugues
Lassau, Nathalie
author_sort Naccache, Raphael
collection PubMed
description SIMPLE SUMMARY: Immune checkpoint inhibitors (ICI) have revolutionized cancer care. However, assessing the efficacy of these new molecules with targeted therapeutic responses may induce too much delay when using classical biomarkers derived from morphological imaging (CT). The objective of our study is to propose fast, cost-effective, convenient, and effective biomarkers using the perfusion parameters from dynamic contrast-enhanced ultrasound (DCE-US) for the evaluation of ICI early response. In a population of 63 patients with metastatic cancer eligible for immunotherapy, we demonstrate that a decrease of more than 45% in the area under the perfusion curve (AUC) between baseline and day 21 is significantly associated with better overall survival. Thus, AUC from DCE-US looks to be a promising new biomarker for the early evaluation of response to immunotherapy. ABSTRACT: Purpose: The objective of our study is to propose fast, cost-effective, convenient, and effective biomarkers using the perfusion parameters from dynamic contrast-enhanced ultrasound (DCE-US) for the evaluation of immune checkpoint inhibitors (ICI) early response. Methods: The retrospective cohort used in this study included 63 patients with metastatic cancer eligible for immunotherapy. DCE-US was performed at baseline, day 8 (D8), and day 21 (D21) after treatment onset. A tumor perfusion curve was modeled on these three dates, and change in the seven perfusion parameters was measured between baseline, D8, and D21. These perfusion parameters were studied to show the impact of their variation on the overall survival (OS). Results: After the removal of missing or suboptimal DCE-US, the Baseline-D8, the Baseline-D21, and the D8-D21 groups included 37, 53, and 33 patients, respectively. A decrease of more than 45% in the area under the perfusion curve (AUC) between baseline and D21 was significantly associated with better OS (p = 0.0114). A decrease of any amount in the AUC between D8 and D21 was also significantly associated with better OS (p = 0.0370). Conclusion: AUC from DCE-US looks to be a promising new biomarker for fast, effective, and convenient immunotherapy response evaluation.
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spelling pubmed-89095562022-03-11 Prediction of Early Response to Immunotherapy: DCE-US as a New Biomarker Naccache, Raphael Belkouchi, Younes Lawrance, Littisha Benatsou, Baya Hadchiti, Joya Cournede, Paul-Henry Ammari, Samy Talbot, Hugues Lassau, Nathalie Cancers (Basel) Article SIMPLE SUMMARY: Immune checkpoint inhibitors (ICI) have revolutionized cancer care. However, assessing the efficacy of these new molecules with targeted therapeutic responses may induce too much delay when using classical biomarkers derived from morphological imaging (CT). The objective of our study is to propose fast, cost-effective, convenient, and effective biomarkers using the perfusion parameters from dynamic contrast-enhanced ultrasound (DCE-US) for the evaluation of ICI early response. In a population of 63 patients with metastatic cancer eligible for immunotherapy, we demonstrate that a decrease of more than 45% in the area under the perfusion curve (AUC) between baseline and day 21 is significantly associated with better overall survival. Thus, AUC from DCE-US looks to be a promising new biomarker for the early evaluation of response to immunotherapy. ABSTRACT: Purpose: The objective of our study is to propose fast, cost-effective, convenient, and effective biomarkers using the perfusion parameters from dynamic contrast-enhanced ultrasound (DCE-US) for the evaluation of immune checkpoint inhibitors (ICI) early response. Methods: The retrospective cohort used in this study included 63 patients with metastatic cancer eligible for immunotherapy. DCE-US was performed at baseline, day 8 (D8), and day 21 (D21) after treatment onset. A tumor perfusion curve was modeled on these three dates, and change in the seven perfusion parameters was measured between baseline, D8, and D21. These perfusion parameters were studied to show the impact of their variation on the overall survival (OS). Results: After the removal of missing or suboptimal DCE-US, the Baseline-D8, the Baseline-D21, and the D8-D21 groups included 37, 53, and 33 patients, respectively. A decrease of more than 45% in the area under the perfusion curve (AUC) between baseline and D21 was significantly associated with better OS (p = 0.0114). A decrease of any amount in the AUC between D8 and D21 was also significantly associated with better OS (p = 0.0370). Conclusion: AUC from DCE-US looks to be a promising new biomarker for fast, effective, and convenient immunotherapy response evaluation. MDPI 2022-03-04 /pmc/articles/PMC8909556/ /pubmed/35267645 http://dx.doi.org/10.3390/cancers14051337 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Naccache, Raphael
Belkouchi, Younes
Lawrance, Littisha
Benatsou, Baya
Hadchiti, Joya
Cournede, Paul-Henry
Ammari, Samy
Talbot, Hugues
Lassau, Nathalie
Prediction of Early Response to Immunotherapy: DCE-US as a New Biomarker
title Prediction of Early Response to Immunotherapy: DCE-US as a New Biomarker
title_full Prediction of Early Response to Immunotherapy: DCE-US as a New Biomarker
title_fullStr Prediction of Early Response to Immunotherapy: DCE-US as a New Biomarker
title_full_unstemmed Prediction of Early Response to Immunotherapy: DCE-US as a New Biomarker
title_short Prediction of Early Response to Immunotherapy: DCE-US as a New Biomarker
title_sort prediction of early response to immunotherapy: dce-us as a new biomarker
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8909556/
https://www.ncbi.nlm.nih.gov/pubmed/35267645
http://dx.doi.org/10.3390/cancers14051337
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