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Record W2561846910 · doi:10.1158/1538-7445.am2015-3162

Abstract 3162: NOD1 augments cancer cell metastatic potential through p38 MAP kinase activation

2015· article· en· W2561846910 on OpenAlexaff
Henry Jiang, Sara Najmeh, Julie Bérubé, Arielle Leone, Paul Savage, Betty Giannias, France Bourdeau, Simon Rousseau, Morag Park, Lorenzo Ferri

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsNOD1BiologyCell biologyCancer researchA549 cellCancer cellImmunologyChemistryImmune systemCellCancerInnate immune systemBiochemistryNOD2

Abstract

fetched live from OpenAlex

Abstract INTRODUCTION: Strong clinical evidence demonstrates a link between acute bacterial infection and metastasis. We and others have shown that activation of certain membrane pattern recognition receptors (PRRs), such as Toll-like receptors, on cancer cells can be implicated in this process. There is emerging data that a cytoplasmic PRR, the nucleotide oligomerization domain receptor 1 (NOD1), may also play an important and complementary role in the immune response to bacterial infection, however its role in cancer progression is entirely unknown. We sought to determine the influence of NOD1 activation on metastasis. METHODS: NOD1 expression in human and murine colon (HT29, MC38) and lung (A549, H59) cancer cells were confirmed using flow cytometry (FC) and immunoblotting (WB). A series of in vitro and in vivo functional assays, including adhesion, migration and hepatic intravital microscopy (IVM), was conducted to assess the effect of NOD1 activation and inhibition. C12-iE-DAP, a highly selective NOD1 ligand derived from gram-negative bacterial wall, was used to simulate NOD1-activation under infectious condition. ML130, a specific NOD1 inhibitor, was used to block C12-iE-DAP activation. Stable knockdown (KD) of NOD1 in HT29 and A549 cells were constructed with shRNA lentiviral transduction and the functional assays were thus repeated. The predominant signaling pathway, downstream cytokines and cell adhesion molecules of NOD1-activation were identified using WB in the presence of kinase inhibitors. RESULTS: WB and FC showed abundant NOD1 expression in all tested cell lines. Cancer cells stimulated with C12-iE-DAP doubled the in vitro adhesion to collagen I, IV and fibronectin, as well as in vitro migration, an effect completely attenuated with ML130 inhibition and NOD1 knockdown. Using a murine hepatic adhesion assay under IVM, we observed a doubling in the amount of in vivo capture of cancer cells within hepatic sinusoids of C57BL6 mice in the C12-iE-DAP group compared to control, an effect again abrogated by ML130 inhibition and NOD1 knockdown. Immunoblotting using HT29 cells under a panel of kinase inhibitors revealed that NOD1 activation is p38 dependent. Subsequently, the use of p38 inhibitor, BIRB0796, abolished C12-iE-DAP mediated adhesion to collagen I and fibronectin. Using human cytokine quantification array, we determined that NOD1 activation led to increase in IL-8, 15, MCP1 and RANTES, all of which have been shown to link to cancer progression or to chemoattract neutrophils, which we have recently shown to mediate metastasis. CONCLUSION: Our data demonstrate that NOD1 activation by the gram-negative bacterial wall component, C12-iE-DAP is important in enhancing the metastatic potential of cancer cells, and its mechanism is dependent on p38 activation and the upregulation of downstream cytokines. This is the first study to implicate NOD1 in metastasis, and thus identify this receptor as a putative therapeutic target. Citation Format: Henry Jiang, Sara Najmeh, Julie Berube, Arielle Leone, Paul Savage, Betty Giannias, France Bourdeau, Simon Rousseau, Morag Park, Lorenzo Edwin Ferri. NOD1 augments cancer cell metastatic potential through p38 MAP kinase activation. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3162. doi:10.1158/1538-7445.AM2015-3162

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.189
GPT teacher head0.469
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations1
Published2015
Admission routes1
Has abstractyes

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