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Cellular Therapy for Children with Central Nervous System Tumors: Mining and Mapping the Correlative Data

PURPOSE OF REVIEW: Correlative studies should leverage clinical trial frameworks to conduct biospecimen analyses that provide insight into the bioactivity of the intervention and facilitate iteration toward future trials that further improve patient outcomes. In pediatric cellular immunotherapy tria...

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Autores principales: Crotty, Erin E., Wilson, Ashley L., Davidson, Tom, Tahiri, Sophia, Gust, Juliane, Griesinger, Andrea M., Venkataraman, Sujatha, Park, Julie R., Mueller, Sabine, Rood, Brian R., Hwang, Eugene I., Wang, Leo D., Vitanza, Nicholas A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326126/
https://www.ncbi.nlm.nih.gov/pubmed/37160547
http://dx.doi.org/10.1007/s11912-023-01423-3
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author Crotty, Erin E.
Wilson, Ashley L.
Davidson, Tom
Tahiri, Sophia
Gust, Juliane
Griesinger, Andrea M.
Venkataraman, Sujatha
Park, Julie R.
Mueller, Sabine
Rood, Brian R.
Hwang, Eugene I.
Wang, Leo D.
Vitanza, Nicholas A.
author_facet Crotty, Erin E.
Wilson, Ashley L.
Davidson, Tom
Tahiri, Sophia
Gust, Juliane
Griesinger, Andrea M.
Venkataraman, Sujatha
Park, Julie R.
Mueller, Sabine
Rood, Brian R.
Hwang, Eugene I.
Wang, Leo D.
Vitanza, Nicholas A.
author_sort Crotty, Erin E.
collection PubMed
description PURPOSE OF REVIEW: Correlative studies should leverage clinical trial frameworks to conduct biospecimen analyses that provide insight into the bioactivity of the intervention and facilitate iteration toward future trials that further improve patient outcomes. In pediatric cellular immunotherapy trials, correlative studies enable deeper understanding of T cell mobilization, durability of immune activation, patterns of toxicity, and early detection of treatment response. Here, we review the correlative science in adoptive cell therapy (ACT) for childhood central nervous system (CNS) tumors, with a focus on existing chimeric antigen receptor (CAR) and T cell receptor (TCR)-expressing T cell therapies. RECENT FINDINGS: We highlight long-standing and more recently understood challenges for effective alignment of correlative data and offer practical considerations for current and future approaches to multi-omic analysis of serial tumor, serum, and cerebrospinal fluid (CSF) biospecimens. We highlight the preliminary success in collecting serial cytokine and proteomics from patients with CNS tumors on ACT clinical trials.
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spelling pubmed-103261262023-07-08 Cellular Therapy for Children with Central Nervous System Tumors: Mining and Mapping the Correlative Data Crotty, Erin E. Wilson, Ashley L. Davidson, Tom Tahiri, Sophia Gust, Juliane Griesinger, Andrea M. Venkataraman, Sujatha Park, Julie R. Mueller, Sabine Rood, Brian R. Hwang, Eugene I. Wang, Leo D. Vitanza, Nicholas A. Curr Oncol Rep Article PURPOSE OF REVIEW: Correlative studies should leverage clinical trial frameworks to conduct biospecimen analyses that provide insight into the bioactivity of the intervention and facilitate iteration toward future trials that further improve patient outcomes. In pediatric cellular immunotherapy trials, correlative studies enable deeper understanding of T cell mobilization, durability of immune activation, patterns of toxicity, and early detection of treatment response. Here, we review the correlative science in adoptive cell therapy (ACT) for childhood central nervous system (CNS) tumors, with a focus on existing chimeric antigen receptor (CAR) and T cell receptor (TCR)-expressing T cell therapies. RECENT FINDINGS: We highlight long-standing and more recently understood challenges for effective alignment of correlative data and offer practical considerations for current and future approaches to multi-omic analysis of serial tumor, serum, and cerebrospinal fluid (CSF) biospecimens. We highlight the preliminary success in collecting serial cytokine and proteomics from patients with CNS tumors on ACT clinical trials. Springer US 2023-05-09 2023 /pmc/articles/PMC10326126/ /pubmed/37160547 http://dx.doi.org/10.1007/s11912-023-01423-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Crotty, Erin E.
Wilson, Ashley L.
Davidson, Tom
Tahiri, Sophia
Gust, Juliane
Griesinger, Andrea M.
Venkataraman, Sujatha
Park, Julie R.
Mueller, Sabine
Rood, Brian R.
Hwang, Eugene I.
Wang, Leo D.
Vitanza, Nicholas A.
Cellular Therapy for Children with Central Nervous System Tumors: Mining and Mapping the Correlative Data
title Cellular Therapy for Children with Central Nervous System Tumors: Mining and Mapping the Correlative Data
title_full Cellular Therapy for Children with Central Nervous System Tumors: Mining and Mapping the Correlative Data
title_fullStr Cellular Therapy for Children with Central Nervous System Tumors: Mining and Mapping the Correlative Data
title_full_unstemmed Cellular Therapy for Children with Central Nervous System Tumors: Mining and Mapping the Correlative Data
title_short Cellular Therapy for Children with Central Nervous System Tumors: Mining and Mapping the Correlative Data
title_sort cellular therapy for children with central nervous system tumors: mining and mapping the correlative data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326126/
https://www.ncbi.nlm.nih.gov/pubmed/37160547
http://dx.doi.org/10.1007/s11912-023-01423-3
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