Abstract LB-078: The role of CEACAM1 in neutrophil extracellular Trap mediated cancer metastasis
Bibliographic record
Abstract
Abstract We have previously identified that Neutrophil Extracellular Traps (NETs) are an important contributing factor to the metastatic process. However, the underlying molecular mechanisms by which NETs facilitate metastasis remain unclear. Using mass spectrometry, amongst 583 distinct proteins, we identified CEACAM1 (CC1) in isolated human NETs and we sought to determine whether CC1 has a role in NET-mediated cancer metastasis. The presence of CC1 on NETs was confirmed by immunofluorescence. In vitro static adhesion of human colon cancer HT29 cells to isolated purified human NETs was reduced by 50% using a function blocking antibody against human CC1, but not isotype control, an effect equal to NET degradation with DNAse. Adhesion of murine colon cancer MC38-CC1L cells to C57BL/6 mouse neutrophils stimulated to produce NETs with phorbol myristate acetate (PMA) was increased 3-fold compared to untreated neutrophils, an effect that was completely attenuated with DNAse. PMA stimulation of neutrophils isolated from Ceacam1−/− knockout (KO) mice did not increase adhesion to MC38-CC1L cells. Using a parallel plate flow chamber, a physiologically relevant adhesion model under the shear conditions encountered in liver sinusoids, we flowed Lewis lung carcinoma (C10) cancer cells over neutrophils isolated from C57BL/6 or Ceacam1−/− KO mice. PMA-induced NET formation in C57BL/6 mouse neutrophils increased cancer cell adhesion 5-fold, an effect again completely attenuated by DNAse or use of neutrophils from Ceacam1−/− KO mice. Using a transwell chamber, MC38-CC1L cancer cells exposed to NET-stimulated Ceacam1−/− KO neutrophils had a 50% decrease in migration, compared to those exposed to NETs from C57BL/6 neutrophils. In order to delineate the role of CC1 in NET-related in vivo adhesion of cancer cells to liver sinusoids, we performed a series of neutrophil depletion and re-infusion experiments. C57BL/6 mice, depleted of neutrophils with anti-GR1 24 hrs prior, were re-infused with neutrophils isolated from C57BL/6 or Ceacam1−/− KO mice. This was followed by injection of MC38-CFSE labelled cells and hepatic intravital microscopy was used to quantify in vivo cancer cell adhesion and migration. PMA-stimulated C57BL/6 neutrophils prior to re-infusion was associated with a two-fold increase in adhesion compared to PMA-stimulated Ceacam1−/− KO neutrophils, an effect that was completely attenuated using DNAse. Our data support the notion that CEACAM1 is, at least in part, responsible for the increased cancer cell migration mediated by Neutrophil Extracellular Traps. We have thereby identified NET-associated CEACAM1 as a putative therapeutic target to prevent the metastatic progression of cancer cells. Citation Format: Phil Vourtzoumis, Rashmi Seth, Roni Rayes, Sara Najmeh, Jonathan Cools-Lartigue, Betty Giannias, France Bourdeau, Nicole Beauchemin, Simon Rousseau, Richard Blumberg, Jonathan D. Spicer, Lorrenzo Edwin Ferri. The role of CEACAM1 in neutrophil extracellular Trap mediated cancer metastasis. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr LB-078.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".