Abstract 1346: Neutrophils facilitate metastasis by increasing cancer cell recruitment to liver sinusoids
Bibliographic record
Abstract
Abstract Background: Mounting evidence suggests that acute inflammation can facilitate the implantation and growth of circulating tumor cells. Previously, we have shown that bacterial lipopolysaccharide (LPS)-induced acute systemic inflammation promotes cancer cell recruitment to liver sinusoids in a neutrophil (PMN) dependent manner. This present study focuses on the various levels at which PMNs and their products can affect metastasis. Methods: In vitro adhesion assays were conducted to test for interactions between Lewis lung carcinoma H-59 cells, isolated mouse PMNs and human umbilical vein endothelial cells (HUVECs). In vivo real-time, single-cell H-59 adhesion to liver sinusoids was measured by hepatic intravital microscopy (IVM). C57BL/6 mice received intra-arterial injections of GFP-tagged H-59 cells. PMN depletion was achieved by IV injection of RB6-8C5 mAb. Some mice received LPS IV 4 hours prior to IVM. Some PMN-depleted mice received isolated PMNs from littermates intra-arterially 10 minutes prior to cancer cell inoculation. The effect of PMNs on gross metastasis formation was assessed after intra-splenic injection of H-59 cells in control and PMN-depleted mice. Results are presented as mean +/- SEM and MWU-test determined significance (* = p<0.05). Results: LPS-activated PMNs adhered 2.5 fold more to a monolayer of H-59 cells than control PMNs (12.3 +/− 1.2 vs 4.9 +/− 3.1 cells/field)*. H-59 adhesion to a HUVEC monolayer was increased when HUVECs were pre-incubated with PMNs versus control RPMI (40.5 +/− 2.6 vs 27.8 cells/field)*. Similarly, HUVECs pre-incubated with LPS-activated PMN-condition media resulted in 70% increased H-59/HUVEC adhesion compared to control RPMI*. Co-incubation of H-59 with control and LPS-treated PMNs prior to co-culture with HUVECs resulted in a 2.8 and 3.5 fold increase in H-59/HUVEC adhesion. These in vitro results correlated with in vivo findings from intravital microscopy and intra-splenic injection. PMN depletion resulted in a significant decrease in H-59 adhesion in both control and LPS-inflamed mice. Pre-infusion of LPS-treated PMNs in a PMN-depleted mouse prior to H-59 infusion caused a 42% increase in H-59 adhesion to liver sinusoids as compared to PBS pre-infusion (16.5 +/− 0.5 vs 11.7 +/− 0.5)*. Finally, PMN depletion prior to intra-splenic injection of H-59 cells decreased gross surface metastases at 2 weeks by 88% from a mean of 48 +/− 12.2 to 6 +/− 2.6*. Conclusions: PMNs may facilitate liver metastasis by direct interactions with cancer cells as well as remotely via PMN derived factors. LPS-activated PMNs were sufficient to promote early cancer cell recruitment to liver sinusoids. PMNs are key participants in the development of gross metastasis. Together, these results suggest that PMNs are important contributors to the implantation and growth of circulating tumor cells in the liver and constitute a possible target for anti-metastatic therapy. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 1346.
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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) | 0.005 | 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".