Flow cytometry and targeted immune transcriptomics identify distinct profiles in patients with chronic myeloid leukemia receiving tyrosine kinase inhibitors with or without interferon-α

Detalhes bibliográficos
Autor(a) principal: Alves, Raquel
Data de Publicação: 2020
Outros Autores: McArdle, Stephanie E B, Vadakekolathu, Jayakumar, Gonçalves, Ana Cristina, Tavares, Paulo, Pereira, Amélia, Almeida, Antonio M., Ribeiro, Ana Bela Sarmento, Rutella, Sergio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/106331
https://doi.org/10.1186/s12967-019-02194-x
Resumo: Background: Tumor cells have evolved complex strategies to escape immune surveillance, a process which involves NK cells and T lymphocytes, and various immunological factors. Indeed, tumor cells recruit immunosuppressive cells [including regulatory T-cells (Treg), myeloid-derived suppressor cells (MDSC)] and express factors such as PD-L1. Molecularly targeted therapies, such as imatinib, have off-target effects that may influence immune function. Imatinib has been shown to modulate multiple cell types involved in anti-cancer immune surveillance, with potentially detrimental or favorable outcomes. Imatinib and other tyrosine kinase inhibitors (TKIs) in chronic myeloid leukemia (CML) have dramatically changed disease course. Our study aimed to characterize the different populations of the immune system in patients with CML affected by their treatment. Methods: Forty-one patients with CML [33 treated with TKIs and 8 with TKIs plus interferon (IFN)-α] and 20 controls were enrolled in the present study. Peripheral blood populations of the immune system [referred to as the overview of immune system (OVIS) panel, Treg cells and MDSCs] and PD-1 expression were evaluated by flow cytometry. The immunological profile was assessed using the mRNA Pan-Cancer Immune Profiling Panel and a NanoString nCounter FLEX platform. Results: Patients receiving combination therapy (TKIs + IFN-α) had lower numbers of lymphocytes, particularly T cells [838/μL (95% CI 594–1182)] compared with healthy controls [1500/μL (95% CI 1207 – 1865), p = 0.017]. These patients also had a higher percentage of Treg (9.1%) and CD4+ PD-1+ cells (1.65%) compared with controls [Treg (6.1%) and CD4+/ PD-1+(0.8%); p ≤ 0.05]. Moreover, patients treated with TKIs had more Mo-MDSCs (12.7%) whereas those treated with TKIs + IFN-α had more Gr-MDSC (21.3%) compared to controls [Mo-MDSC (11.4%) and Gr-MDSC (8.48%); p ≤ 0.05]. CD56bright NK cells, a cell subset endowed with immune-regulatory properties, were increased in patients receiving TKIs plus IFN-α compared with those treated with TKIs alone. Interestingly, serum IL-21 was significantly lower in the TKIs plus IFN-α cohort. Within the group of patients treated with TKI monotherapy, we observed that individuals receiving 2nd generation TKIs had lower percentages of CD4+ Treg (3.63%) and Gr-MDSC (4.2%) compared to patients under imatinib treatment ( CD4+ Treg 6.18% and Gr-MDSC 8.2%), but higher levels of PD-1-co-expressing CD4+ cells (1.92%). Conclusions: Our results suggest that TKIs in combination with IFN-α may promote an enhanced immune suppressive state.
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spelling Flow cytometry and targeted immune transcriptomics identify distinct profiles in patients with chronic myeloid leukemia receiving tyrosine kinase inhibitors with or without interferon-αChronic myeloid leukemiaInterferonImmunotherapyGene expression profilingImmune monitoringFlow CytometryHumansProtein Kinase InhibitorsTranscriptomeInterferon-alphaLeukemia, Myelogenous, Chronic, BCR-ABL PositiveBackground: Tumor cells have evolved complex strategies to escape immune surveillance, a process which involves NK cells and T lymphocytes, and various immunological factors. Indeed, tumor cells recruit immunosuppressive cells [including regulatory T-cells (Treg), myeloid-derived suppressor cells (MDSC)] and express factors such as PD-L1. Molecularly targeted therapies, such as imatinib, have off-target effects that may influence immune function. Imatinib has been shown to modulate multiple cell types involved in anti-cancer immune surveillance, with potentially detrimental or favorable outcomes. Imatinib and other tyrosine kinase inhibitors (TKIs) in chronic myeloid leukemia (CML) have dramatically changed disease course. Our study aimed to characterize the different populations of the immune system in patients with CML affected by their treatment. Methods: Forty-one patients with CML [33 treated with TKIs and 8 with TKIs plus interferon (IFN)-α] and 20 controls were enrolled in the present study. Peripheral blood populations of the immune system [referred to as the overview of immune system (OVIS) panel, Treg cells and MDSCs] and PD-1 expression were evaluated by flow cytometry. The immunological profile was assessed using the mRNA Pan-Cancer Immune Profiling Panel and a NanoString nCounter FLEX platform. Results: Patients receiving combination therapy (TKIs + IFN-α) had lower numbers of lymphocytes, particularly T cells [838/μL (95% CI 594–1182)] compared with healthy controls [1500/μL (95% CI 1207 – 1865), p = 0.017]. These patients also had a higher percentage of Treg (9.1%) and CD4+ PD-1+ cells (1.65%) compared with controls [Treg (6.1%) and CD4+/ PD-1+(0.8%); p ≤ 0.05]. Moreover, patients treated with TKIs had more Mo-MDSCs (12.7%) whereas those treated with TKIs + IFN-α had more Gr-MDSC (21.3%) compared to controls [Mo-MDSC (11.4%) and Gr-MDSC (8.48%); p ≤ 0.05]. CD56bright NK cells, a cell subset endowed with immune-regulatory properties, were increased in patients receiving TKIs plus IFN-α compared with those treated with TKIs alone. Interestingly, serum IL-21 was significantly lower in the TKIs plus IFN-α cohort. Within the group of patients treated with TKI monotherapy, we observed that individuals receiving 2nd generation TKIs had lower percentages of CD4+ Treg (3.63%) and Gr-MDSC (4.2%) compared to patients under imatinib treatment ( CD4+ Treg 6.18% and Gr-MDSC 8.2%), but higher levels of PD-1-co-expressing CD4+ cells (1.92%). Conclusions: Our results suggest that TKIs in combination with IFN-α may promote an enhanced immune suppressive state.R.A. is supported by the Portuguese Foundation for Science and Technology (FCT) with a PhD grant (SFRH/BD/51994/2012). S.R. is supported by research grants from the Qatar National Research Fund (QNRF; NPRP8-2297-3-494), the Roger Counter Foundation (Dorset, UK) and the John and Lucille van Geest Foundation. The work was supported by funds from FEDER through the Operational Program Competitiveness Factors (COMPETE), and by FCT under the strategic projects from FCT/MCTES/PIDDAC (CNC.IBILI, Center Reference: UID/NEU/04539/2013)Springer Nature2020-01-03info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/106331http://hdl.handle.net/10316/106331https://doi.org/10.1186/s12967-019-02194-xeng1479-5876Alves, RaquelMcArdle, Stephanie E BVadakekolathu, JayakumarGonçalves, Ana CristinaTavares, PauloPereira, AméliaAlmeida, Antonio M.Ribeiro, Ana Bela SarmentoRutella, Sergioinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-04-06T10:20:16Zoai:estudogeral.uc.pt:10316/106331Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:22:48.308557Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Flow cytometry and targeted immune transcriptomics identify distinct profiles in patients with chronic myeloid leukemia receiving tyrosine kinase inhibitors with or without interferon-α
title Flow cytometry and targeted immune transcriptomics identify distinct profiles in patients with chronic myeloid leukemia receiving tyrosine kinase inhibitors with or without interferon-α
spellingShingle Flow cytometry and targeted immune transcriptomics identify distinct profiles in patients with chronic myeloid leukemia receiving tyrosine kinase inhibitors with or without interferon-α
Alves, Raquel
Chronic myeloid leukemia
Interferon
Immunotherapy
Gene expression profiling
Immune monitoring
Flow Cytometry
Humans
Protein Kinase Inhibitors
Transcriptome
Interferon-alpha
Leukemia, Myelogenous, Chronic, BCR-ABL Positive
title_short Flow cytometry and targeted immune transcriptomics identify distinct profiles in patients with chronic myeloid leukemia receiving tyrosine kinase inhibitors with or without interferon-α
title_full Flow cytometry and targeted immune transcriptomics identify distinct profiles in patients with chronic myeloid leukemia receiving tyrosine kinase inhibitors with or without interferon-α
title_fullStr Flow cytometry and targeted immune transcriptomics identify distinct profiles in patients with chronic myeloid leukemia receiving tyrosine kinase inhibitors with or without interferon-α
title_full_unstemmed Flow cytometry and targeted immune transcriptomics identify distinct profiles in patients with chronic myeloid leukemia receiving tyrosine kinase inhibitors with or without interferon-α
title_sort Flow cytometry and targeted immune transcriptomics identify distinct profiles in patients with chronic myeloid leukemia receiving tyrosine kinase inhibitors with or without interferon-α
author Alves, Raquel
author_facet Alves, Raquel
McArdle, Stephanie E B
Vadakekolathu, Jayakumar
Gonçalves, Ana Cristina
Tavares, Paulo
Pereira, Amélia
Almeida, Antonio M.
Ribeiro, Ana Bela Sarmento
Rutella, Sergio
author_role author
author2 McArdle, Stephanie E B
Vadakekolathu, Jayakumar
Gonçalves, Ana Cristina
Tavares, Paulo
Pereira, Amélia
Almeida, Antonio M.
Ribeiro, Ana Bela Sarmento
Rutella, Sergio
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Alves, Raquel
McArdle, Stephanie E B
Vadakekolathu, Jayakumar
Gonçalves, Ana Cristina
Tavares, Paulo
Pereira, Amélia
Almeida, Antonio M.
Ribeiro, Ana Bela Sarmento
Rutella, Sergio
dc.subject.por.fl_str_mv Chronic myeloid leukemia
Interferon
Immunotherapy
Gene expression profiling
Immune monitoring
Flow Cytometry
Humans
Protein Kinase Inhibitors
Transcriptome
Interferon-alpha
Leukemia, Myelogenous, Chronic, BCR-ABL Positive
topic Chronic myeloid leukemia
Interferon
Immunotherapy
Gene expression profiling
Immune monitoring
Flow Cytometry
Humans
Protein Kinase Inhibitors
Transcriptome
Interferon-alpha
Leukemia, Myelogenous, Chronic, BCR-ABL Positive
description Background: Tumor cells have evolved complex strategies to escape immune surveillance, a process which involves NK cells and T lymphocytes, and various immunological factors. Indeed, tumor cells recruit immunosuppressive cells [including regulatory T-cells (Treg), myeloid-derived suppressor cells (MDSC)] and express factors such as PD-L1. Molecularly targeted therapies, such as imatinib, have off-target effects that may influence immune function. Imatinib has been shown to modulate multiple cell types involved in anti-cancer immune surveillance, with potentially detrimental or favorable outcomes. Imatinib and other tyrosine kinase inhibitors (TKIs) in chronic myeloid leukemia (CML) have dramatically changed disease course. Our study aimed to characterize the different populations of the immune system in patients with CML affected by their treatment. Methods: Forty-one patients with CML [33 treated with TKIs and 8 with TKIs plus interferon (IFN)-α] and 20 controls were enrolled in the present study. Peripheral blood populations of the immune system [referred to as the overview of immune system (OVIS) panel, Treg cells and MDSCs] and PD-1 expression were evaluated by flow cytometry. The immunological profile was assessed using the mRNA Pan-Cancer Immune Profiling Panel and a NanoString nCounter FLEX platform. Results: Patients receiving combination therapy (TKIs + IFN-α) had lower numbers of lymphocytes, particularly T cells [838/μL (95% CI 594–1182)] compared with healthy controls [1500/μL (95% CI 1207 – 1865), p = 0.017]. These patients also had a higher percentage of Treg (9.1%) and CD4+ PD-1+ cells (1.65%) compared with controls [Treg (6.1%) and CD4+/ PD-1+(0.8%); p ≤ 0.05]. Moreover, patients treated with TKIs had more Mo-MDSCs (12.7%) whereas those treated with TKIs + IFN-α had more Gr-MDSC (21.3%) compared to controls [Mo-MDSC (11.4%) and Gr-MDSC (8.48%); p ≤ 0.05]. CD56bright NK cells, a cell subset endowed with immune-regulatory properties, were increased in patients receiving TKIs plus IFN-α compared with those treated with TKIs alone. Interestingly, serum IL-21 was significantly lower in the TKIs plus IFN-α cohort. Within the group of patients treated with TKI monotherapy, we observed that individuals receiving 2nd generation TKIs had lower percentages of CD4+ Treg (3.63%) and Gr-MDSC (4.2%) compared to patients under imatinib treatment ( CD4+ Treg 6.18% and Gr-MDSC 8.2%), but higher levels of PD-1-co-expressing CD4+ cells (1.92%). Conclusions: Our results suggest that TKIs in combination with IFN-α may promote an enhanced immune suppressive state.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-03
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/106331
http://hdl.handle.net/10316/106331
https://doi.org/10.1186/s12967-019-02194-x
url http://hdl.handle.net/10316/106331
https://doi.org/10.1186/s12967-019-02194-x
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 1479-5876
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dc.publisher.none.fl_str_mv Springer Nature
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