CyTOF reveals phenotypically-distinct human blood neutrophil populations differentially correlated with melanoma stage



Zhu, Yanfang Peipei ORCID: 0000-0001-6908-0860, Eggert, Tobias, Araujo, Daniel, Vijayanand, Pandurangan, Ottensmeier, Christian ORCID: 0000-0003-3619-1657 and Hedrick, Catherine
(2019) CyTOF reveals phenotypically-distinct human blood neutrophil populations differentially correlated with melanoma stage. 826644-.

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Abstract

<h4>ABSTRACT</h4> 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 pro- or anti-tumoral functions. However, this work has been hindered by the lack of widely-accepted markers with which to define neutrophil subpopulations. To identify markers of neutrophil heterogeneity in cancer, we utilized single-cell cytometry by time-of-flight (CyTOF) coupled with high-dimensional analysis on blood samples from treatment-naïve, melanoma patients. Our efforts allowed us to identify 7 blood-neutrophil clusters, including 2 previously identified individual populations. Interrogation of these neutrophil subpopulations revealed a positive trend between specific clusters and disease stage. Finally, we recapitulated these 7 blood-neutrophil populations via flow cytometry and found that they exhibit diverse capacities for phagocytosis and reactive oxygen species (ROS) production in vitro . In summary, our data provide a refined consensus on neutrophil-heterogeneity markers, enabling a prospective functional evaluation in patients with solid tumors. <h4>KEY POINTS</h4> CyTOF analysis reveals 7 blood neutrophil clusters correlating with melanoma stage in treatment-naïve patients. Neutrophil clusters by unbiased-calling are recapitulated by flow cytometry and harbor diverse phagocytic and ROS-producing capacities.

Item Type: Article
Uncontrolled Keywords: Cancer, Vaccine Related, Clinical Research, Cancer, 3 Good Health and Well Being
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology
Depositing User: Symplectic Admin
Date Deposited: 22 Dec 2021 09:28
Last Modified: 15 Mar 2024 17:20
DOI: 10.1101/826644
Open Access URL: https://www.biorxiv.org/content/10.1101/826644v2
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URI: https://livrepository.liverpool.ac.uk/id/eprint/3145797