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Combinatory analysis of immune cell subsets and tumor-specific genetic variants predict clinical response to PD-1 blockade in patients with non-small cell lung cancer

OBJECTIVES: Immunotherapy by blocking programmed death protein-1 (PD-1) or programmed death protein-ligand1 (PD-L1) with antibodies (PD-1 blockade) has revolutionized treatment options for patients with non-small cell lung cancer (NSCLC). However, the benefit of immunotherapy is limited to a subset...

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Autores principales: Dutta, Nikita, Rohlin, Anna, Eklund, Ella A., Magnusson, Maria K., Nilsson, Frida, Akyürek, Levent M., Torstensson, Per, Sayin, Volkan I., Lundgren, Anna, Hallqvist, Andreas, Raghavan, Sukanya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948027/
https://www.ncbi.nlm.nih.gov/pubmed/36844924
http://dx.doi.org/10.3389/fonc.2022.1073457
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author Dutta, Nikita
Rohlin, Anna
Eklund, Ella A.
Magnusson, Maria K.
Nilsson, Frida
Akyürek, Levent M.
Torstensson, Per
Sayin, Volkan I.
Lundgren, Anna
Hallqvist, Andreas
Raghavan, Sukanya
author_facet Dutta, Nikita
Rohlin, Anna
Eklund, Ella A.
Magnusson, Maria K.
Nilsson, Frida
Akyürek, Levent M.
Torstensson, Per
Sayin, Volkan I.
Lundgren, Anna
Hallqvist, Andreas
Raghavan, Sukanya
author_sort Dutta, Nikita
collection PubMed
description OBJECTIVES: Immunotherapy by blocking programmed death protein-1 (PD-1) or programmed death protein-ligand1 (PD-L1) with antibodies (PD-1 blockade) has revolutionized treatment options for patients with non-small cell lung cancer (NSCLC). However, the benefit of immunotherapy is limited to a subset of patients. This study aimed to investigate the value of combining immune and genetic variables analyzed within 3–4 weeks after the start of PD-1 blockade therapy to predict long-term clinical response. MATERIALS AND METHODOLOGY: Blood collected from patients with NSCLC were analyzed for changes in the frequency and concentration of immune cells using a clinical flow cytometry assay. Next-generation sequencing (NGS) was performed on DNA extracted from archival tumor biopsies of the same patients. Patients were categorized as clinical responders or non-responders based on the 9 months’ assessment after the start of therapy. RESULTS: We report a significant increase in the post-treatment frequency of activated effector memory CD4(+) and CD8(+) T-cells compared with pre-treatment levels in the blood. Baseline frequencies of B cells but not NK cells, T cells, or regulatory T cells were associated with the clinical response to PD-1 blockade. NGS of tumor tissues identified pathogenic or likely pathogenic mutations in tumor protein P53, Kirsten rat sarcoma virus, Kelch-like ECH-associated protein 1, neurogenic locus notch homolog protein 1, and serine/threonine kinase 11, primarily in the responder group. Finally, multivariate analysis of combined immune and genetic factors but neither alone, could discriminate between responders and non-responders. CONCLUSION: Combined analyses of select immune cell subsets and genetic mutations could predict early clinical responses to immunotherapy in patients with NSCLC and after validation, can guide clinical precision medicine efforts.
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spelling pubmed-99480272023-02-24 Combinatory analysis of immune cell subsets and tumor-specific genetic variants predict clinical response to PD-1 blockade in patients with non-small cell lung cancer Dutta, Nikita Rohlin, Anna Eklund, Ella A. Magnusson, Maria K. Nilsson, Frida Akyürek, Levent M. Torstensson, Per Sayin, Volkan I. Lundgren, Anna Hallqvist, Andreas Raghavan, Sukanya Front Oncol Oncology OBJECTIVES: Immunotherapy by blocking programmed death protein-1 (PD-1) or programmed death protein-ligand1 (PD-L1) with antibodies (PD-1 blockade) has revolutionized treatment options for patients with non-small cell lung cancer (NSCLC). However, the benefit of immunotherapy is limited to a subset of patients. This study aimed to investigate the value of combining immune and genetic variables analyzed within 3–4 weeks after the start of PD-1 blockade therapy to predict long-term clinical response. MATERIALS AND METHODOLOGY: Blood collected from patients with NSCLC were analyzed for changes in the frequency and concentration of immune cells using a clinical flow cytometry assay. Next-generation sequencing (NGS) was performed on DNA extracted from archival tumor biopsies of the same patients. Patients were categorized as clinical responders or non-responders based on the 9 months’ assessment after the start of therapy. RESULTS: We report a significant increase in the post-treatment frequency of activated effector memory CD4(+) and CD8(+) T-cells compared with pre-treatment levels in the blood. Baseline frequencies of B cells but not NK cells, T cells, or regulatory T cells were associated with the clinical response to PD-1 blockade. NGS of tumor tissues identified pathogenic or likely pathogenic mutations in tumor protein P53, Kirsten rat sarcoma virus, Kelch-like ECH-associated protein 1, neurogenic locus notch homolog protein 1, and serine/threonine kinase 11, primarily in the responder group. Finally, multivariate analysis of combined immune and genetic factors but neither alone, could discriminate between responders and non-responders. CONCLUSION: Combined analyses of select immune cell subsets and genetic mutations could predict early clinical responses to immunotherapy in patients with NSCLC and after validation, can guide clinical precision medicine efforts. Frontiers Media S.A. 2023-02-09 /pmc/articles/PMC9948027/ /pubmed/36844924 http://dx.doi.org/10.3389/fonc.2022.1073457 Text en Copyright © 2023 Dutta, Rohlin, Eklund, Magnusson, Nilsson, Akyürek, Torstensson, Sayin, Lundgren, Hallqvist and Raghavan 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 Oncology
Dutta, Nikita
Rohlin, Anna
Eklund, Ella A.
Magnusson, Maria K.
Nilsson, Frida
Akyürek, Levent M.
Torstensson, Per
Sayin, Volkan I.
Lundgren, Anna
Hallqvist, Andreas
Raghavan, Sukanya
Combinatory analysis of immune cell subsets and tumor-specific genetic variants predict clinical response to PD-1 blockade in patients with non-small cell lung cancer
title Combinatory analysis of immune cell subsets and tumor-specific genetic variants predict clinical response to PD-1 blockade in patients with non-small cell lung cancer
title_full Combinatory analysis of immune cell subsets and tumor-specific genetic variants predict clinical response to PD-1 blockade in patients with non-small cell lung cancer
title_fullStr Combinatory analysis of immune cell subsets and tumor-specific genetic variants predict clinical response to PD-1 blockade in patients with non-small cell lung cancer
title_full_unstemmed Combinatory analysis of immune cell subsets and tumor-specific genetic variants predict clinical response to PD-1 blockade in patients with non-small cell lung cancer
title_short Combinatory analysis of immune cell subsets and tumor-specific genetic variants predict clinical response to PD-1 blockade in patients with non-small cell lung cancer
title_sort combinatory analysis of immune cell subsets and tumor-specific genetic variants predict clinical response to pd-1 blockade in patients with non-small cell lung cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948027/
https://www.ncbi.nlm.nih.gov/pubmed/36844924
http://dx.doi.org/10.3389/fonc.2022.1073457
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