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T-Cell Heterogeneity in Baseline Tumor Samples: Implications for Early Clinical Trial Design and Analysis
BACKGROUND: In early stage clinical trials, changes to levels of tumor infiltrating lymphocytes (TILs) in the tumor microenvironment (TME) are critical biomarkers of the mechanism of action of novel immunotherapies. However, baseline heterogeneity of tumor samples, both between and within patients,...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086966/ https://www.ncbi.nlm.nih.gov/pubmed/35558070 http://dx.doi.org/10.3389/fimmu.2022.760763 |
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author | Brennan, Laura Brouwer-Visser, Jurriaan Nüesch, Eveline Karpova, Maria Heller, Astrid Gaire, Fabien Schneider, Meike Gomes, Bruno Korski, Konstanty |
author_facet | Brennan, Laura Brouwer-Visser, Jurriaan Nüesch, Eveline Karpova, Maria Heller, Astrid Gaire, Fabien Schneider, Meike Gomes, Bruno Korski, Konstanty |
author_sort | Brennan, Laura |
collection | PubMed |
description | BACKGROUND: In early stage clinical trials, changes to levels of tumor infiltrating lymphocytes (TILs) in the tumor microenvironment (TME) are critical biomarkers of the mechanism of action of novel immunotherapies. However, baseline heterogeneity of tumor samples, both between and within patients, and the resultant impact on the validity of clinical trial data is not well defined. Here we identify and quantify the impact of baseline variables on the heterogeneity of FoxP3+ and proliferating CD8+ T-cells levels (MKi67+CD8A+) in the TME both between and within patients for the purpose of informing clinical trial design and analysis. METHODS: We compared levels of FoxP3+ and MKi67+CD8+ cell densities (counts/mm(2)) from >1000 baseline tumor samples from clinical trials and commercially available sources. Using multivariate hierarchical regression techniques, we investigated whether inter-person heterogeneity of activated or regulatory T-cells could be attributed to baseline characteristics including demographics, indication, lesion type, tissue of excision, biopsy method, prior cancer treatment, and tissue type i.e., “fresh” or “archival” status. We also sought to characterize within-patient heterogeneity by lesion type and tissue type. RESULTS: Prior cancer treatment with hormone therapy or chemotherapy that induces immunogenic cell death may alter the TME. Archival tissue is an unreliable substitute for fresh tissue for determining baseline TIL levels. Baseline and on treatment biopsies should be matched by lesion type to avoid bias. |
format | Online Article Text |
id | pubmed-9086966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90869662022-05-11 T-Cell Heterogeneity in Baseline Tumor Samples: Implications for Early Clinical Trial Design and Analysis Brennan, Laura Brouwer-Visser, Jurriaan Nüesch, Eveline Karpova, Maria Heller, Astrid Gaire, Fabien Schneider, Meike Gomes, Bruno Korski, Konstanty Front Immunol Immunology BACKGROUND: In early stage clinical trials, changes to levels of tumor infiltrating lymphocytes (TILs) in the tumor microenvironment (TME) are critical biomarkers of the mechanism of action of novel immunotherapies. However, baseline heterogeneity of tumor samples, both between and within patients, and the resultant impact on the validity of clinical trial data is not well defined. Here we identify and quantify the impact of baseline variables on the heterogeneity of FoxP3+ and proliferating CD8+ T-cells levels (MKi67+CD8A+) in the TME both between and within patients for the purpose of informing clinical trial design and analysis. METHODS: We compared levels of FoxP3+ and MKi67+CD8+ cell densities (counts/mm(2)) from >1000 baseline tumor samples from clinical trials and commercially available sources. Using multivariate hierarchical regression techniques, we investigated whether inter-person heterogeneity of activated or regulatory T-cells could be attributed to baseline characteristics including demographics, indication, lesion type, tissue of excision, biopsy method, prior cancer treatment, and tissue type i.e., “fresh” or “archival” status. We also sought to characterize within-patient heterogeneity by lesion type and tissue type. RESULTS: Prior cancer treatment with hormone therapy or chemotherapy that induces immunogenic cell death may alter the TME. Archival tissue is an unreliable substitute for fresh tissue for determining baseline TIL levels. Baseline and on treatment biopsies should be matched by lesion type to avoid bias. Frontiers Media S.A. 2022-04-27 /pmc/articles/PMC9086966/ /pubmed/35558070 http://dx.doi.org/10.3389/fimmu.2022.760763 Text en Copyright © 2022 Brennan, Brouwer-Visser, Nüesch, Karpova, Heller, Gaire, Schneider, Gomes and Korski https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Brennan, Laura Brouwer-Visser, Jurriaan Nüesch, Eveline Karpova, Maria Heller, Astrid Gaire, Fabien Schneider, Meike Gomes, Bruno Korski, Konstanty T-Cell Heterogeneity in Baseline Tumor Samples: Implications for Early Clinical Trial Design and Analysis |
title | T-Cell Heterogeneity in Baseline Tumor Samples: Implications for Early Clinical Trial Design and Analysis |
title_full | T-Cell Heterogeneity in Baseline Tumor Samples: Implications for Early Clinical Trial Design and Analysis |
title_fullStr | T-Cell Heterogeneity in Baseline Tumor Samples: Implications for Early Clinical Trial Design and Analysis |
title_full_unstemmed | T-Cell Heterogeneity in Baseline Tumor Samples: Implications for Early Clinical Trial Design and Analysis |
title_short | T-Cell Heterogeneity in Baseline Tumor Samples: Implications for Early Clinical Trial Design and Analysis |
title_sort | t-cell heterogeneity in baseline tumor samples: implications for early clinical trial design and analysis |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086966/ https://www.ncbi.nlm.nih.gov/pubmed/35558070 http://dx.doi.org/10.3389/fimmu.2022.760763 |
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