CyTOF mass cytometry reveals phenotypically distinct human blood neutrophil populations differentially correlated with melanoma stage
CyTOF mass cytometry reveals phenotypically distinct human blood neutrophil populations differentially correlated with melanoma stage
BACKGROUND: Understanding neutrophil heterogeneity and its relationship to disease progression has become a recent focus of cancer research. Indeed, several studies have identified neutrophil subpopulations associated with protumoral or antitumoral functions. However, this work has been hindered by a lack of widely accepted markers with which to define neutrophil subpopulations.
METHODS: To identify markers of neutrophil heterogeneity in cancer, we used single-cell cytometry by time-of-flight (CyTOF) coupled with high-dimensional analysis on blood samples from treatment-naïve patients with melanoma.
RESULTS: Our efforts allowed us to identify seven blood neutrophil clusters, including two previously identified individual populations. Interrogation of these neutrophil subpopulations revealed a positive trend between specific clusters and disease stage. Finally, we recapitulated these seven blood neutrophil populations via flow cytometry and found that they exhibited diverse capacities for phagocytosis and reactive oxygen species production in vitro.
CONCLUSIONS: Our data provide a refined consensus on neutrophil heterogeneity markers, enabling a prospective functional evaluation in patients with solid tumors.
haematology, immunology
Zhu, Yanfang Peipei
39826130-bbc3-4f1c-b793-de8d7794504f
Eggert, Tobias
1e3f4316-119c-4ae0-9697-8968fa8b8043
Araujo, Daniel J.
a0238ff3-96b1-4cb4-940c-3a4fb2a4f12c
Vijayanand, Pandurangan
79514f33-66cf-47cc-a8fa-46bbfc21b7d1
Ottensmeier, Christian Hermann
42b8a398-baac-4843-a3d6-056225675797
Hedrick, Catherine C.
c443d2f1-5b9d-4298-b2d6-4729c2fdb7f4
9 September 2020
Zhu, Yanfang Peipei
39826130-bbc3-4f1c-b793-de8d7794504f
Eggert, Tobias
1e3f4316-119c-4ae0-9697-8968fa8b8043
Araujo, Daniel J.
a0238ff3-96b1-4cb4-940c-3a4fb2a4f12c
Vijayanand, Pandurangan
79514f33-66cf-47cc-a8fa-46bbfc21b7d1
Ottensmeier, Christian Hermann
42b8a398-baac-4843-a3d6-056225675797
Hedrick, Catherine C.
c443d2f1-5b9d-4298-b2d6-4729c2fdb7f4
Zhu, Yanfang Peipei, Eggert, Tobias, Araujo, Daniel J., Vijayanand, Pandurangan, Ottensmeier, Christian Hermann and Hedrick, Catherine C.
(2020)
CyTOF mass cytometry reveals phenotypically distinct human blood neutrophil populations differentially correlated with melanoma stage.
Journal for Immunotherapy of Cancer, 8 (2), [e000473].
(doi:10.1136/jitc-2019-000473).
Abstract
BACKGROUND: Understanding neutrophil heterogeneity and its relationship to disease progression has become a recent focus of cancer research. Indeed, several studies have identified neutrophil subpopulations associated with protumoral or antitumoral functions. However, this work has been hindered by a lack of widely accepted markers with which to define neutrophil subpopulations.
METHODS: To identify markers of neutrophil heterogeneity in cancer, we used single-cell cytometry by time-of-flight (CyTOF) coupled with high-dimensional analysis on blood samples from treatment-naïve patients with melanoma.
RESULTS: Our efforts allowed us to identify seven blood neutrophil clusters, including two previously identified individual populations. Interrogation of these neutrophil subpopulations revealed a positive trend between specific clusters and disease stage. Finally, we recapitulated these seven blood neutrophil populations via flow cytometry and found that they exhibited diverse capacities for phagocytosis and reactive oxygen species production in vitro.
CONCLUSIONS: Our data provide a refined consensus on neutrophil heterogeneity markers, enabling a prospective functional evaluation in patients with solid tumors.
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Accepted/In Press date: 19 June 2020
Published date: 9 September 2020
Additional Information:
© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.
Keywords:
haematology, immunology
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Local EPrints ID: 444106
URI: http://eprints.soton.ac.uk/id/eprint/444106
PURE UUID: c16d1a8d-d71b-43fc-97e9-e7f6164d6277
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Date deposited: 25 Sep 2020 16:33
Last modified: 16 Mar 2024 09:25
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Author:
Yanfang Peipei Zhu
Author:
Tobias Eggert
Author:
Daniel J. Araujo
Author:
Pandurangan Vijayanand
Author:
Catherine C. Hedrick
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