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Dynamic evaluation of blood immune cells predictive of response to immune checkpoint inhibitors in NSCLC by multicolor spectrum flow cytometry

INTRODUCTION: Immune checkpoint inhibitors (ICIs) only benefit a subset of cancer patients, underlining the need for predictive biomarkers for patient selection. Given the limitations of tumor tissue availability, flow cytometry of peripheral blood mononuclear cells (PBMCs) is considered a noninvasi...

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Autores principales: Ma, Weijie, Wei, Sixi, Long, Siqi, Tian, Eddie C., McLaughlin, Bridget, Jaimes, Maria, Montoya, Dennis J., Viswanath, Varun R., Chien, Jeremy, Zhang, Qianjun, Van Dyke, Jonathan E., Chen, Shuai, Li, Tianhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449448/
https://www.ncbi.nlm.nih.gov/pubmed/37638022
http://dx.doi.org/10.3389/fimmu.2023.1206631
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author Ma, Weijie
Wei, Sixi
Long, Siqi
Tian, Eddie C.
McLaughlin, Bridget
Jaimes, Maria
Montoya, Dennis J.
Viswanath, Varun R.
Chien, Jeremy
Zhang, Qianjun
Van Dyke, Jonathan E.
Chen, Shuai
Li, Tianhong
author_facet Ma, Weijie
Wei, Sixi
Long, Siqi
Tian, Eddie C.
McLaughlin, Bridget
Jaimes, Maria
Montoya, Dennis J.
Viswanath, Varun R.
Chien, Jeremy
Zhang, Qianjun
Van Dyke, Jonathan E.
Chen, Shuai
Li, Tianhong
author_sort Ma, Weijie
collection PubMed
description INTRODUCTION: Immune checkpoint inhibitors (ICIs) only benefit a subset of cancer patients, underlining the need for predictive biomarkers for patient selection. Given the limitations of tumor tissue availability, flow cytometry of peripheral blood mononuclear cells (PBMCs) is considered a noninvasive method for immune monitoring. This study explores the use of spectrum flow cytometry, which allows a more comprehensive analysis of a greater number of markers using fewer immune cells, to identify potential blood immune biomarkers and monitor ICI treatment in non-small-cell lung cancer (NSCLC) patients. METHODS: PBMCs were collected from 14 non-small-cell lung cancer (NSCLC) patients before and after ICI treatment and 4 healthy human donors. Using spectrum flow cytometry, 24 immune cell markers were simultaneously monitored using only 1 million PBMCs. The results were also compared with those from clinical flow cytometry and bulk RNA sequencing analysis. RESULTS: Our findings showed that the measurement of CD4+ and CD8+ T cells by spectrum flow cytometry matched well with those by clinical flow cytometry (Pearson R ranging from 0.75 to 0.95) and bulk RNA sequencing analysis (R=0.80, P=1.3 x 10-4). A lower frequency of CD4+ central memory cells before treatment was associated with a longer median progression-free survival (PFS) [Not reached (NR) vs. 5 months; hazard ratio (HR)=8.1, 95% confidence interval (CI) 1.5–42, P=0.01]. A higher frequency of CD4-CD8- double-negative (DN) T cells was associated with a longer PFS (NR vs. 4.45 months; HR=11.1, 95% CI 2.2–55.0, P=0.003). ICIs significantly changed the frequency of cytotoxic CD8+PD1+ T cells, DN T cells, CD16+CD56dim and CD16+CD56- natural killer (NK) cells, and CD14+HLDRhigh and CD11c+HLADR + monocytes. Of these immune cell subtypes, an increase in the frequency of CD16+CD56dim NK cells and CD14+HLADRhigh monocytes after treatment compared to before treatment were associated with a longer PFS (NR vs. 5 months, HR=5.4, 95% CI 1.1-25.7, P=0.03; 7.8 vs. 3.8 months, HR=5.7, 95% CI 169 1.0-31.7, P=0.04), respectively. CONCLUSION: Our preliminary findings suggest that the use of multicolor spectrum flow cytometry helps identify potential blood immune biomarkers for ICI treatment, which warrants further validation.
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spelling pubmed-104494482023-08-25 Dynamic evaluation of blood immune cells predictive of response to immune checkpoint inhibitors in NSCLC by multicolor spectrum flow cytometry Ma, Weijie Wei, Sixi Long, Siqi Tian, Eddie C. McLaughlin, Bridget Jaimes, Maria Montoya, Dennis J. Viswanath, Varun R. Chien, Jeremy Zhang, Qianjun Van Dyke, Jonathan E. Chen, Shuai Li, Tianhong Front Immunol Immunology INTRODUCTION: Immune checkpoint inhibitors (ICIs) only benefit a subset of cancer patients, underlining the need for predictive biomarkers for patient selection. Given the limitations of tumor tissue availability, flow cytometry of peripheral blood mononuclear cells (PBMCs) is considered a noninvasive method for immune monitoring. This study explores the use of spectrum flow cytometry, which allows a more comprehensive analysis of a greater number of markers using fewer immune cells, to identify potential blood immune biomarkers and monitor ICI treatment in non-small-cell lung cancer (NSCLC) patients. METHODS: PBMCs were collected from 14 non-small-cell lung cancer (NSCLC) patients before and after ICI treatment and 4 healthy human donors. Using spectrum flow cytometry, 24 immune cell markers were simultaneously monitored using only 1 million PBMCs. The results were also compared with those from clinical flow cytometry and bulk RNA sequencing analysis. RESULTS: Our findings showed that the measurement of CD4+ and CD8+ T cells by spectrum flow cytometry matched well with those by clinical flow cytometry (Pearson R ranging from 0.75 to 0.95) and bulk RNA sequencing analysis (R=0.80, P=1.3 x 10-4). A lower frequency of CD4+ central memory cells before treatment was associated with a longer median progression-free survival (PFS) [Not reached (NR) vs. 5 months; hazard ratio (HR)=8.1, 95% confidence interval (CI) 1.5–42, P=0.01]. A higher frequency of CD4-CD8- double-negative (DN) T cells was associated with a longer PFS (NR vs. 4.45 months; HR=11.1, 95% CI 2.2–55.0, P=0.003). ICIs significantly changed the frequency of cytotoxic CD8+PD1+ T cells, DN T cells, CD16+CD56dim and CD16+CD56- natural killer (NK) cells, and CD14+HLDRhigh and CD11c+HLADR + monocytes. Of these immune cell subtypes, an increase in the frequency of CD16+CD56dim NK cells and CD14+HLADRhigh monocytes after treatment compared to before treatment were associated with a longer PFS (NR vs. 5 months, HR=5.4, 95% CI 1.1-25.7, P=0.03; 7.8 vs. 3.8 months, HR=5.7, 95% CI 169 1.0-31.7, P=0.04), respectively. CONCLUSION: Our preliminary findings suggest that the use of multicolor spectrum flow cytometry helps identify potential blood immune biomarkers for ICI treatment, which warrants further validation. Frontiers Media S.A. 2023-08-10 /pmc/articles/PMC10449448/ /pubmed/37638022 http://dx.doi.org/10.3389/fimmu.2023.1206631 Text en Copyright © 2023 Ma, Wei, Long, Tian, McLaughlin, Jaimes, Montoya, Viswanath, Chien, Zhang, Van Dyke, Chen and Li 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
Ma, Weijie
Wei, Sixi
Long, Siqi
Tian, Eddie C.
McLaughlin, Bridget
Jaimes, Maria
Montoya, Dennis J.
Viswanath, Varun R.
Chien, Jeremy
Zhang, Qianjun
Van Dyke, Jonathan E.
Chen, Shuai
Li, Tianhong
Dynamic evaluation of blood immune cells predictive of response to immune checkpoint inhibitors in NSCLC by multicolor spectrum flow cytometry
title Dynamic evaluation of blood immune cells predictive of response to immune checkpoint inhibitors in NSCLC by multicolor spectrum flow cytometry
title_full Dynamic evaluation of blood immune cells predictive of response to immune checkpoint inhibitors in NSCLC by multicolor spectrum flow cytometry
title_fullStr Dynamic evaluation of blood immune cells predictive of response to immune checkpoint inhibitors in NSCLC by multicolor spectrum flow cytometry
title_full_unstemmed Dynamic evaluation of blood immune cells predictive of response to immune checkpoint inhibitors in NSCLC by multicolor spectrum flow cytometry
title_short Dynamic evaluation of blood immune cells predictive of response to immune checkpoint inhibitors in NSCLC by multicolor spectrum flow cytometry
title_sort dynamic evaluation of blood immune cells predictive of response to immune checkpoint inhibitors in nsclc by multicolor spectrum flow cytometry
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449448/
https://www.ncbi.nlm.nih.gov/pubmed/37638022
http://dx.doi.org/10.3389/fimmu.2023.1206631
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