| Literature DB >> 32313729 |
Camilla Margaroli1,2, Maria A Cardenas3, Caroline S Jansen3, Adriana Moon Reyes3, Fares Hosseinzadeh3, Gordon Hong4, Yilin Zhang4, Haydn Kissick3, Rabindra Tirouvanziam1,2, Viraj A Master4.
Abstract
Infiltrating tumor neutrophils and myeloid-derived suppressor cells represent major populations in the tumor microenvironment that contribute to tumor progression. However, the phenotype of circulating and tumor-associated neutrophils, and the impact of cancer patients' metabolic state on neutrophil function need further characterization. Here we show that in kidney cancer patients, circulating neutrophils display an altered immature-like phenotype, and an activated/primed metabolic state. Circulating immature-like neutrophils acquire an activated phenotype upon migration into the tumor tissue, characterized by high expression of the immunosuppressive enzyme arginase-1, and active granule release. Interestingly, obesity and adipose tissue distribution were significantly associated with this activated phenotype of neutrophils, including the release of arginase-1 in the tumor tissue. These results provide a possible functional relationship between the metabolic status of the patients and disease progression, through an active immunosuppressive role of neutrophils within the kidney tumor microenvironment.Entities:
Keywords: Neutrophils; immunomodulation; metabolism; obesity; renal cancer
Mesh:
Year: 2020 PMID: 32313729 PMCID: PMC7153842 DOI: 10.1080/2162402X.2020.1747731
Source DB: PubMed Journal: Oncoimmunology ISSN: 2162-4011 Impact factor: 8.110
Figure 1.Circulating neutrophils in kidney cancer patients display an immature-like phenotype. Blood leukocytes from 14 healthy donors (HD, open symbols) and 19 kidney cancer patients (closed symbols) were phenotyped by flow cytometry, and neutrophils were defined as CD45+, CD3−, CD66b+. (a) Neutrophil activation was measured by median fluorescence intensity (MFI) of surface CD14, CD16 and CD66b. (b) Primary granule release was quantified by surface CD63 expression and surface recapture of primary granule enzymes (arginase-1 and neutrophil elastase). (c) Immunomodulatory capacity of blood neutrophils was assessed by surface expression of PD-L1, HLA-DR and CD80. Differences between kidney cancer patients and healthy donors were determined using the Wilcoxon rank sum test.
Figure 2.Circulating neutrophils from kidney cancer patients show enhanced metabolic activity. Circulating neutrophils from healthy donors (HD, open symbols) and kidney cancer patients (closed symbols) were plated on Seahorse culture plates in Seahorse media (± glucose and PMA, depending on the condition) and analyzed for maximal (a-b) and basal (c-d) extracellular acidification rate (ECAR), for spare respiratory capacity (e-f) and basal oxygen consumption rate (OCR) (g-h) as determinants of glycolysis and oxidative phosphorylation/NADPH activity, respectively. Glycolytic capacity was defined as the difference between maximal ECAR upon PMA activation and average ECAR upon glucose injection (glycolysis). Differences between kidney cancer patients and healthy donors were determined using the Wilcoxon rank sum test.
Figure 3.Tumor-associated neutrophils from kidney cancer patients display an immunosuppressive phenotype. (a) Representative flow cytometry plots of CD63 and arginase-1 expression on matched circulating (blood) and tumor neutrophils from kidney cancer patients. Data are shown for two kidney cancer patients. (b) Comparison of neutrophil activation and expression of immunomodulatory surface receptors. Differences between circulating and tumor-associated neutrophils within kidney cancer patients were determined using the Wilcoxon matched-pairs signed rank test.
Figure 4.Systemic metabolic state correlates with degranulation by tumor-associated neutrophils. Correlations are shown between tumor-infiltrating neutrophil surface expression of granule release markers related to secondary granules (CD66b) (a-b), primary granules (CD63) (c-d) and the effector enzyme arginase-1 (e-f), and BMI or subcutaneous adipose tissue. BMI was calculated using the patients’ height and weight and subcutaneous adipose tissue area was calculated using an MRI dissection system as described in the methods. (g-h) Co-culture assay of T-cells with blood neutrophils (BN), tumor neutrophils (TN), and tumor supernatant (TS). Correlations were assessed using Spearman’s test, while comparison for the T cells assay was performed using the Friedman’s test with uncorrected Dunn’s test (* p < .05; *** p < .001).