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Record W4414465199 · doi:10.1158/2326-6074.cimm25-a017

Abstract A017: Neutrophil extracellular traps reprogram macrophages to an immunosuppressive phenotype in non-small-cell lung cancer

2025· article· en· W4414465199 on OpenAlexaffabout
Simrit Safarulla, M. De Meo, Roni Rayes, Jade Canape, Arvind Chandrasekaran, Betty Giannias, France Bourdeau, Pierre Fiset, Jonathan Spicer

Bibliographic record

VenueCancer Immunology Research · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicNeutrophil, Myeloperoxidase and Oxidative Mechanisms
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsImmune systemTumor microenvironmentInnate immune systemMacrophageNeutrophil extracellular trapsExtracellular matrixLung cancerPhenotypeImmunotherapyMonocyte

Abstract

fetched live from OpenAlex

Abstract Introduction and rationale: Immune checkpoint blockade therapy (ICB) is a cutting-edge treatment strategy modulating T cell activity and has emerged at the forefront of non-small-cell lung cancer (NSCLC) management, yet most patients do not durably respond. Studies have shown that innate immune cells could create an immune-suppressive tumor microenvironment (TME) thus, resulting in resistance to ICB. Therefore, to design an effective therapeutic strategy, it is imperative to consider the diverse immune cells and their complex interactome. In noncancerous conditions, pro-inflammatory neutrophils release extracellular traps or NETs that interfere with monocyte differentiation to macrophages. However, their interaction and its effect in mediating immune evasion in NSCLCs is poorly understood. Methods: To study the role of neutrophils in macrophage behaviour, freshly isolated monocytes were differentiated into pro-tumorigenic M2-like macrophages and polarized with or without NETs. These NETs-educated macrophages (NeMacs) were phenotypically characterized by flow cytometry. Functionally, their role in the TME was investigated using a Tumor-Immune-Microenvironment on-chip (TIMEoC) platform. Here, immune cells such as donor matched T cells or neutropils were loaded into a microfluidic channel magnetically attached to active NSCLC spheroids embedded in a collagenous matrix containing NeMacs. T-cell or neutrophil migration and tumor cytotoxicity in the presence of NeMacs were monitored on TIMEoC. Results: In the presence of NETs, macrophages presented an immunosuppresive phenotype with significantly reduced expression of CD80, a key co-stimulatory receptor for T cell activation. NeMacs recruited significantly more neutrophils to the tumor than M2-like macrophages. In contrast, NeMacs retarded activated CD8+ T cell migration to the TME and significantly impacted their cytotoxic abilities observed by caspase 3/7 expression. The presence of NeMacs also affected ICB efficacy in vitro. Conclusion: Therefore, NETs could reprogram macrophages to create an immune-suppressive TME. This study was able to unveil previously unexplored relationship between NETs and macrophages in NSCLCs which could help identify prospective targets that could augment the current standard of care. Citation Format: Simrit Safarulla, Meghan De Meo, Roni Rayes, Jade Canape, Arvind Chandrasekaran, Betty Giannias, France Bourdeau, Pierre-Olivier Fiset, Jonathan Spicer. Neutrophil extracellular traps reprogram macrophages to an immunosuppressive phenotype in non-small-cell lung cancer [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Mechanisms of Cancer Immunity and Cancer-related Autoimmunity; 2025 Sep 24-27; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2025;13(9 Suppl):Abstract nr A017.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
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 score0.100
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.362
Teacher spread0.328 · 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 teacher head, not a consensus.

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
Published2025
Admission routes2
Has abstractyes

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