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Primary tumors induce neutrophil extracellular traps with targetable metastasis-promoting effects
Roni F. Rayes, Jack G. Mouhanna, Ioana Nicolau, France Bourdeau, Betty Giannias, Simon Rousseau, Daniela Quail, Logan Walsh, Veena Sangwan, Nicholas Bertos, Jonathan Cools-Lartigue, Lorenzo E. Ferri, Jonathan D. Spicer
Roni F. Rayes, Jack G. Mouhanna, Ioana Nicolau, France Bourdeau, Betty Giannias, Simon Rousseau, Daniela Quail, Logan Walsh, Veena Sangwan, Nicholas Bertos, Jonathan Cools-Lartigue, Lorenzo E. Ferri, Jonathan D. Spicer
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Research Article Oncology

Primary tumors induce neutrophil extracellular traps with targetable metastasis-promoting effects

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Abstract

Targeting the dynamic tumor immune microenvironment (TIME) can provide effective therapeutic strategies for cancer. Neutrophils are the predominant leukocyte population in mice and humans, and mounting evidence implicates these cells during tumor growth and metastasis. Neutrophil extracellular traps (NETs) are networks of extracellular neutrophil DNA fibers that are capable of binding tumor cells to support metastatic progression. Here, we demonstrate that circulating NET levels are elevated in advanced esophageal, gastric, and lung cancer patients compared with local cancers and healthy controls. Using preclinical murine models of lung and colon cancer, in combination with intravital video microscopy, we show that NETs functionally regulate disease progression and that blocking NETosis through multiple strategies significantly inhibits spontaneous metastasis to the lung and liver. Furthermore, we show how inhibiting tumor-induced NETs decreases cancer cell adhesion to liver sinusoids following intrasplenic injection — a mechanism previously thought to be driven primarily by exogenous stimuli. Thus, in addition to neutrophil abundance, the functional contribution of NETosis within the TIME has critical translational relevance and represents a promising target to impede metastatic dissemination.

Authors

Roni F. Rayes, Jack G. Mouhanna, Ioana Nicolau, France Bourdeau, Betty Giannias, Simon Rousseau, Daniela Quail, Logan Walsh, Veena Sangwan, Nicholas Bertos, Jonathan Cools-Lartigue, Lorenzo E. Ferri, Jonathan D. Spicer

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Figure 5

NET-deficient mice show reduced spontaneous lung and liver metastasis of lung carcinoma cells.

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NET-deficient mice show reduced spontaneous lung and liver metastasis of...
(A) Timeline of the murine spontaneous liver and lung metastasis experiment with resection. (B) Mean (± SEM) percentage of H59-GFP+ cells in the lungs of TBM (n = 6) and DNase1-treated (n = 6), NEi-treated (n = 9), and PAD4–/– (n = 8) TBM. (C) Representative fluorescence microscopy images of spontaneous lung metastases in the 4 groups of mice from B. Magnification, 10×. (D) Timeline of the murine spontaneous liver metastasis experiment without resection. (E) Mean (± SEM) number of H59-GFP+ cells in livers of TBM (n = 16) and DNase1-treated (n = 15), NEi-treated (n = 13), and PAD4–/– (n = 15) TBM. (F) Representative fluorescence microscopy images of spontaneous liver metastases in the 4 groups of mice from E. Magnification, 20×. A Kruskal-Wallis test was used to calculate significance for B and E because the data were not normally distributed, as assessed by the Kolmogorov-Smirnov test. *P < 0.05.

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