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Record W4393096215 · doi:10.1158/1538-7445.am2024-1392

Abstract 1392: Neutrophil extracellular trap (NET)-induced pancreatic tumor metastasis requires integrin-linked kinase (ILK) signaling

2024· article· en· W4393096215 on OpenAlexaff
Paul C. McDonald, Shannon Awrey, Hossein Tavakoli, Rebekah Carroll, Zachary J. Gerbec, Joanna M. Karasinska, David F. Schaeffer, Daniel J. Renouf, Shoukat Dedhar

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicNeutrophil, Myeloperoxidase and Oxidative Mechanisms
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsNeutrophil extracellular trapsIntegrin-linked kinaseMetastasisCancer researchKinaseIntegrinMedicineTrap (plumbing)Cell biologyImmunologyBiologyInternal medicineProtein kinase ACancerInflammationReceptorCyclin-dependent kinase 2

Abstract

fetched live from OpenAlex

Abstract Neutrophil extracellular traps (NETs) are an important contributor to the immunosuppressive tumor microenvironment and facilitate metastasis of solid cancers. NETs have been shown to stimulate breast and colon cancer cell metastasis through a mechanism potentially involving an interaction between integrin-linked kinase (ILK) and the cell surface receptor coiled-coil domain containing protein 25 (CCDC25). Here, we have interrogated whether ILK is required for NET-induced metastasis in pancreatic ductal adenocarcinoma (PDAC), an inflammation-driven tumor that is difficult to treat. Evaluation of the circulating neutrophil to lymphocyte ratio (NLR) in the blood samples of patients presenting with metastatic PDAC showed that a higher baseline NLR is associated with significantly shorter overall patient survival. Western blot and immunofluorescence analyses demonstrated that human PDAC cell lines, patient-derived xenograft cells, cells derived from the KPCY genetic model of PDAC and patient-derived organoids co-express CCDC25 and ILK. Co-immunoprecipitation analyses showed that CCDC25 and ILK associate in both mouse and human PDAC cells, and that exposure of the cells to NETs results in an increased amount of ILK associated with CCDC25. Exposure of human and KPCY mouse PDAC cells to NETs increases phosphorylation of GSK3-β and ERK, increases activation of Rac1 and Cdc42 and upregulates markers of epithelial-to-mesenchymal transition (EMT), including ZEB1 and Snail, in a time and concentration-dependent manner. Furthermore, time-lapse imaging using Incucyte-based wounding assays showed that exposure to NETs induces pseudopodia-like protrusions, migration and invasion by these cells. RNAi-mediated suppression of ILK expression or inhibition of ILK activity using a highly selective inhibitor of ILK, QLT-0267, significantly inhibits the NET-induced increase in GSK3-β phosphorylation, Rac1/Cdc42 activation, migration and invasion of PDAC cells. In vivo, co-localization of CCDC25 and ILK is observed in tumors and metastases from KPCY mouse and MIA PaCa-2 human PDAC xenograft models stained by multispectral immunofluorescence and analyzed by confocal microscopy. Tumors and metastases show the presence of infiltrating neutrophils and NETs as indicated by staining for myeloperoxidase and citrullinated histone H3. Importantly, doxycycline-inducible shRNA-mediated suppression of ILK expression by luciferase-positive PDAC cells following injection of these cells through the tail vein of mice administered LPS intranasally results in a significant reduction in metastasis as measured by bioluminescence-based imaging, compared to control animals. Collectively, these data identify NET-induced ILK signaling as an important contributor to PDAC progression and suggest the potential for targeting this axis to prevent PDAC progression and metastasis. Citation Format: Paul C. McDonald, Shannon J. Awrey, Hossein Tavakoli, Rebekah Carroll, Zachary J. Gerbec, Joanna M. Karasinska, David F. Schaeffer, Daniel J. Renouf, Shoukat Dedhar. Neutrophil extracellular trap (NET)-induced pancreatic tumor metastasis requires integrin-linked kinase (ILK) signaling [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1392.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
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)0.0050.001

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 head0.102
GPT teacher head0.366
Teacher spread0.264 · 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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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