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Usage Information

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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Usage data is cumulative from June 2025 through June 2026.

Usage JCI PMC
Text version 2,668 366
PDF 262 101
Figure 669 3
Table 230 0
Supplemental data 171 5
Citation downloads 607 0
Totals 4,607 475
Total Views 5,082
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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