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Immune cell composition and functional marker dynamics from multiplexed immunohistochemistry to predict response to neoadjuvant chemotherapy in the WSG-ADAPT-TN trial
BACKGROUND: The association of early changes in the immune infiltrate during neoadjuvant chemotherapy (NACT) with pathological complete response (pCR) in triple-negative breast cancer (TNBC) remains unexplored. METHODS: Multiplexed immunohistochemistry was performed in matched tumor biopsies obtaine...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8108653/ https://www.ncbi.nlm.nih.gov/pubmed/33963012 http://dx.doi.org/10.1136/jitc-2020-002198 |
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author | Graeser, Monika Feuerhake, Friedrich Gluz, Oleg Volk, Valery Hauptmann, Michael Jozwiak, Katarzyna Christgen, Matthias Kuemmel, Sherko Grischke, Eva-Maria Forstbauer, Helmut Braun, Michael Warm, Mathias Hackmann, John Uleer, Christoph Aktas, Bahriye Schumacher, Claudia Kolberg-Liedtke, Cornelia Kates, Ronald Wuerstlein, Rachel Nitz, Ulrike Kreipe, Hans Heinrich Harbeck, Nadia |
author_facet | Graeser, Monika Feuerhake, Friedrich Gluz, Oleg Volk, Valery Hauptmann, Michael Jozwiak, Katarzyna Christgen, Matthias Kuemmel, Sherko Grischke, Eva-Maria Forstbauer, Helmut Braun, Michael Warm, Mathias Hackmann, John Uleer, Christoph Aktas, Bahriye Schumacher, Claudia Kolberg-Liedtke, Cornelia Kates, Ronald Wuerstlein, Rachel Nitz, Ulrike Kreipe, Hans Heinrich Harbeck, Nadia |
author_sort | Graeser, Monika |
collection | PubMed |
description | BACKGROUND: The association of early changes in the immune infiltrate during neoadjuvant chemotherapy (NACT) with pathological complete response (pCR) in triple-negative breast cancer (TNBC) remains unexplored. METHODS: Multiplexed immunohistochemistry was performed in matched tumor biopsies obtained at baseline and after 3 weeks of NACT from 66 patients from the West German Study Group Adjuvant Dynamic Marker-Adjusted Personalized Therapy Trial Optimizing Risk Assessment and Therapy Response Prediction in Early Breast Cancer - Triple Negative Breast Cancer (WSG-ADAPT-TN) trial. Association between CD4, CD8, CD73, T cells, PD1-positive CD4 and CD8 cells, and PDL1 levels in stroma and/or tumor at baseline, week 3 and 3-week change with pCR was evaluated with univariable logistic regression. RESULTS: Compared with no change in immune cell composition and functional markers, transition from ‘cold’ to ‘hot’ (below-median and above-median marker level at baseline, respectively) suggested higher pCR rates for PD1-positive CD4 (tumor: OR=1.55, 95% CI 0.45 to 5.42; stroma: OR=2.65, 95% CI 0.65 to 10.71) and PD1-positive CD8 infiltrates (tumor: OR=1.77, 95% CI 0.60 to 5.20; stroma: OR=1.25, 95% CI 0.41 to 3.84; tumor+stroma: OR=1.62, 95% CI 0.51 to 5.12). No pCR was observed after ‘hot-to-cold’ transition in PD1-positive CD8 cells. pCR rates appeared lower after hot-to-cold transitions in T cells (tumor: OR=0.26, 95% CI 0.03 to 2.34; stroma: OR=0.35, 95% CI 0.04 to 3.25; tumor+stroma: OR=0.00, 95% CI 0.00 to 1.04) and PD1-positive CD4 cells (tumor: OR=0.60, 95% CI 0.11 to 3.35; stroma: OR=0.22, 95% CI 0.03 to 1.92; tumor+stroma: OR=0.32, 95% CI 0.04 to 2.94). Higher pCR rates collated with ‘altered’ distribution (levels below-median and above-median in tumor and stroma, respectively) of T cell (OR=3.50, 95% CI 0.84 to 14.56) and PD1-positive CD4 cells (OR=4.50, 95% CI 1.01 to 20.14). CONCLUSION: Our exploratory findings indicate that comprehensive analysis of early immune infiltrate dynamics complements currently investigated predictive markers for pCR and may have a potential to improve guidance for individualized de-escalation/escalation strategies in TNBC. |
format | Online Article Text |
id | pubmed-8108653 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-81086532021-05-24 Immune cell composition and functional marker dynamics from multiplexed immunohistochemistry to predict response to neoadjuvant chemotherapy in the WSG-ADAPT-TN trial Graeser, Monika Feuerhake, Friedrich Gluz, Oleg Volk, Valery Hauptmann, Michael Jozwiak, Katarzyna Christgen, Matthias Kuemmel, Sherko Grischke, Eva-Maria Forstbauer, Helmut Braun, Michael Warm, Mathias Hackmann, John Uleer, Christoph Aktas, Bahriye Schumacher, Claudia Kolberg-Liedtke, Cornelia Kates, Ronald Wuerstlein, Rachel Nitz, Ulrike Kreipe, Hans Heinrich Harbeck, Nadia J Immunother Cancer Basic Tumor Immunology BACKGROUND: The association of early changes in the immune infiltrate during neoadjuvant chemotherapy (NACT) with pathological complete response (pCR) in triple-negative breast cancer (TNBC) remains unexplored. METHODS: Multiplexed immunohistochemistry was performed in matched tumor biopsies obtained at baseline and after 3 weeks of NACT from 66 patients from the West German Study Group Adjuvant Dynamic Marker-Adjusted Personalized Therapy Trial Optimizing Risk Assessment and Therapy Response Prediction in Early Breast Cancer - Triple Negative Breast Cancer (WSG-ADAPT-TN) trial. Association between CD4, CD8, CD73, T cells, PD1-positive CD4 and CD8 cells, and PDL1 levels in stroma and/or tumor at baseline, week 3 and 3-week change with pCR was evaluated with univariable logistic regression. RESULTS: Compared with no change in immune cell composition and functional markers, transition from ‘cold’ to ‘hot’ (below-median and above-median marker level at baseline, respectively) suggested higher pCR rates for PD1-positive CD4 (tumor: OR=1.55, 95% CI 0.45 to 5.42; stroma: OR=2.65, 95% CI 0.65 to 10.71) and PD1-positive CD8 infiltrates (tumor: OR=1.77, 95% CI 0.60 to 5.20; stroma: OR=1.25, 95% CI 0.41 to 3.84; tumor+stroma: OR=1.62, 95% CI 0.51 to 5.12). No pCR was observed after ‘hot-to-cold’ transition in PD1-positive CD8 cells. pCR rates appeared lower after hot-to-cold transitions in T cells (tumor: OR=0.26, 95% CI 0.03 to 2.34; stroma: OR=0.35, 95% CI 0.04 to 3.25; tumor+stroma: OR=0.00, 95% CI 0.00 to 1.04) and PD1-positive CD4 cells (tumor: OR=0.60, 95% CI 0.11 to 3.35; stroma: OR=0.22, 95% CI 0.03 to 1.92; tumor+stroma: OR=0.32, 95% CI 0.04 to 2.94). Higher pCR rates collated with ‘altered’ distribution (levels below-median and above-median in tumor and stroma, respectively) of T cell (OR=3.50, 95% CI 0.84 to 14.56) and PD1-positive CD4 cells (OR=4.50, 95% CI 1.01 to 20.14). CONCLUSION: Our exploratory findings indicate that comprehensive analysis of early immune infiltrate dynamics complements currently investigated predictive markers for pCR and may have a potential to improve guidance for individualized de-escalation/escalation strategies in TNBC. BMJ Publishing Group 2021-05-07 /pmc/articles/PMC8108653/ /pubmed/33963012 http://dx.doi.org/10.1136/jitc-2020-002198 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Basic Tumor Immunology Graeser, Monika Feuerhake, Friedrich Gluz, Oleg Volk, Valery Hauptmann, Michael Jozwiak, Katarzyna Christgen, Matthias Kuemmel, Sherko Grischke, Eva-Maria Forstbauer, Helmut Braun, Michael Warm, Mathias Hackmann, John Uleer, Christoph Aktas, Bahriye Schumacher, Claudia Kolberg-Liedtke, Cornelia Kates, Ronald Wuerstlein, Rachel Nitz, Ulrike Kreipe, Hans Heinrich Harbeck, Nadia Immune cell composition and functional marker dynamics from multiplexed immunohistochemistry to predict response to neoadjuvant chemotherapy in the WSG-ADAPT-TN trial |
title | Immune cell composition and functional marker dynamics from multiplexed immunohistochemistry to predict response to neoadjuvant chemotherapy in the WSG-ADAPT-TN trial |
title_full | Immune cell composition and functional marker dynamics from multiplexed immunohistochemistry to predict response to neoadjuvant chemotherapy in the WSG-ADAPT-TN trial |
title_fullStr | Immune cell composition and functional marker dynamics from multiplexed immunohistochemistry to predict response to neoadjuvant chemotherapy in the WSG-ADAPT-TN trial |
title_full_unstemmed | Immune cell composition and functional marker dynamics from multiplexed immunohistochemistry to predict response to neoadjuvant chemotherapy in the WSG-ADAPT-TN trial |
title_short | Immune cell composition and functional marker dynamics from multiplexed immunohistochemistry to predict response to neoadjuvant chemotherapy in the WSG-ADAPT-TN trial |
title_sort | immune cell composition and functional marker dynamics from multiplexed immunohistochemistry to predict response to neoadjuvant chemotherapy in the wsg-adapt-tn trial |
topic | Basic Tumor Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8108653/ https://www.ncbi.nlm.nih.gov/pubmed/33963012 http://dx.doi.org/10.1136/jitc-2020-002198 |
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