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Association Between Response to Nivolumab Treatment and Peripheral Blood Lymphocyte Subsets in Patients With Non-small Cell Lung Cancer
Immune checkpoint blockade represents a major breakthrough in advanced non-small cell lung cancer (NSCLC) therapy. However, success is limited to a subset of patients and there is a critical need to identify robust biomarkers associated with clinical response. In this study, we assessed whether pre-...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018763/ https://www.ncbi.nlm.nih.gov/pubmed/32117275 http://dx.doi.org/10.3389/fimmu.2020.00125 |
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author | Ottonello, Selene Genova, Carlo Cossu, Irene Fontana, Vincenzo Rijavec, Erika Rossi, Giovanni Biello, Federica Dal Bello, Maria Giovanna Tagliamento, Marco Alama, Angela Coco, Simona Boccardo, Simona Vanni, Irene Ferlazzo, Guido Moretta, Lorenzo Grossi, Francesco Mingari, Maria Cristina Carrega, Paolo Pietra, Gabriella |
author_facet | Ottonello, Selene Genova, Carlo Cossu, Irene Fontana, Vincenzo Rijavec, Erika Rossi, Giovanni Biello, Federica Dal Bello, Maria Giovanna Tagliamento, Marco Alama, Angela Coco, Simona Boccardo, Simona Vanni, Irene Ferlazzo, Guido Moretta, Lorenzo Grossi, Francesco Mingari, Maria Cristina Carrega, Paolo Pietra, Gabriella |
author_sort | Ottonello, Selene |
collection | PubMed |
description | Immune checkpoint blockade represents a major breakthrough in advanced non-small cell lung cancer (NSCLC) therapy. However, success is limited to a subset of patients and there is a critical need to identify robust biomarkers associated with clinical response. In this study, we assessed whether pre-existing immunological characteristics, as well as immune parameters measured during treatment, might provide such clinical guidance. We studied blood samples collected at baseline and during treatment in a cohort of advanced NSCLC patients (n = 74) treated with nivolumab. Several lymphocyte subsets and biomarkers were then correlated with overall survival (OS) as well as clinical response, assessed using RECIST criteria. We found that patients characterized by longer OS had higher levels of CD3(+), CD4(+), and CD8(+) T cells but lower levels of NK cells at baseline. Moreover, that they displayed a statistically significant lower expression of PD-1 on both CD3(+) and CD8(+) T cells (p = 0.013 and p = 0.033, respectively). The pre-treatment level of exhausted T cells (CD8(+)PD1(+)Eomes(+)) was significantly lower in patients with controlled disease (CD), defined as partial response (PR), and stable disease (SD), compared to those with progressive disease (PD) (p = 0.046). In CD patients, the frequency of exhausted CD8(+) T cells further decreased during treatment cycles (p = <0.0001, p = 0.0032, and p = 0.0239, respectively). In conclusion, our results suggest that the distribution of lymphocyte subsets and expression of PD-1 on T cells before treatment may help predict the outcome of anti-PD-1 treatment in NSCLC patients. In addition, assessing the initial levels of exhausted T cells as well as their decrease upon treatment may also predict response and clinical outcome. |
format | Online Article Text |
id | pubmed-7018763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70187632020-02-28 Association Between Response to Nivolumab Treatment and Peripheral Blood Lymphocyte Subsets in Patients With Non-small Cell Lung Cancer Ottonello, Selene Genova, Carlo Cossu, Irene Fontana, Vincenzo Rijavec, Erika Rossi, Giovanni Biello, Federica Dal Bello, Maria Giovanna Tagliamento, Marco Alama, Angela Coco, Simona Boccardo, Simona Vanni, Irene Ferlazzo, Guido Moretta, Lorenzo Grossi, Francesco Mingari, Maria Cristina Carrega, Paolo Pietra, Gabriella Front Immunol Immunology Immune checkpoint blockade represents a major breakthrough in advanced non-small cell lung cancer (NSCLC) therapy. However, success is limited to a subset of patients and there is a critical need to identify robust biomarkers associated with clinical response. In this study, we assessed whether pre-existing immunological characteristics, as well as immune parameters measured during treatment, might provide such clinical guidance. We studied blood samples collected at baseline and during treatment in a cohort of advanced NSCLC patients (n = 74) treated with nivolumab. Several lymphocyte subsets and biomarkers were then correlated with overall survival (OS) as well as clinical response, assessed using RECIST criteria. We found that patients characterized by longer OS had higher levels of CD3(+), CD4(+), and CD8(+) T cells but lower levels of NK cells at baseline. Moreover, that they displayed a statistically significant lower expression of PD-1 on both CD3(+) and CD8(+) T cells (p = 0.013 and p = 0.033, respectively). The pre-treatment level of exhausted T cells (CD8(+)PD1(+)Eomes(+)) was significantly lower in patients with controlled disease (CD), defined as partial response (PR), and stable disease (SD), compared to those with progressive disease (PD) (p = 0.046). In CD patients, the frequency of exhausted CD8(+) T cells further decreased during treatment cycles (p = <0.0001, p = 0.0032, and p = 0.0239, respectively). In conclusion, our results suggest that the distribution of lymphocyte subsets and expression of PD-1 on T cells before treatment may help predict the outcome of anti-PD-1 treatment in NSCLC patients. In addition, assessing the initial levels of exhausted T cells as well as their decrease upon treatment may also predict response and clinical outcome. Frontiers Media S.A. 2020-02-07 /pmc/articles/PMC7018763/ /pubmed/32117275 http://dx.doi.org/10.3389/fimmu.2020.00125 Text en Copyright © 2020 Ottonello, Genova, Cossu, Fontana, Rijavec, Rossi, Biello, Dal Bello, Tagliamento, Alama, Coco, Boccardo, Vanni, Ferlazzo, Moretta, Grossi, Mingari, Carrega and Pietra. http://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 Ottonello, Selene Genova, Carlo Cossu, Irene Fontana, Vincenzo Rijavec, Erika Rossi, Giovanni Biello, Federica Dal Bello, Maria Giovanna Tagliamento, Marco Alama, Angela Coco, Simona Boccardo, Simona Vanni, Irene Ferlazzo, Guido Moretta, Lorenzo Grossi, Francesco Mingari, Maria Cristina Carrega, Paolo Pietra, Gabriella Association Between Response to Nivolumab Treatment and Peripheral Blood Lymphocyte Subsets in Patients With Non-small Cell Lung Cancer |
title | Association Between Response to Nivolumab Treatment and Peripheral Blood Lymphocyte Subsets in Patients With Non-small Cell Lung Cancer |
title_full | Association Between Response to Nivolumab Treatment and Peripheral Blood Lymphocyte Subsets in Patients With Non-small Cell Lung Cancer |
title_fullStr | Association Between Response to Nivolumab Treatment and Peripheral Blood Lymphocyte Subsets in Patients With Non-small Cell Lung Cancer |
title_full_unstemmed | Association Between Response to Nivolumab Treatment and Peripheral Blood Lymphocyte Subsets in Patients With Non-small Cell Lung Cancer |
title_short | Association Between Response to Nivolumab Treatment and Peripheral Blood Lymphocyte Subsets in Patients With Non-small Cell Lung Cancer |
title_sort | association between response to nivolumab treatment and peripheral blood lymphocyte subsets in patients with non-small cell lung cancer |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018763/ https://www.ncbi.nlm.nih.gov/pubmed/32117275 http://dx.doi.org/10.3389/fimmu.2020.00125 |
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