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Crossing Barriers<i>: In Vitro</i> Cancer Model for Studying Monocyte Migration across Endothelial Barriers

2025· article· en· W4412488145 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueACS Biomaterials Science & Engineering · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune cells in cancer
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchCanada Foundation for InnovationOntario Research Foundation
KeywordsMonocyteCancer researchUmbilical veinBone marrowTumor microenvironmentCell biologyCancer cellProgenitor cellCancerChemistryPathologyImmunologyIn vitroMedicineBiologyStem cellInternal medicine

Abstract

fetched live from OpenAlex

Monocytes originate in the bone marrow and make up 2–10% of all white blood cells, circulating in the blood to damaged tissue and disease sites, where they differentiate into macrophages or dendritic cells. In solid tumors such as glioblastoma, monocytes recruited from the blood to the tumor site differentiate into tumor-associated macrophages (TAMs), which play a key role in tumor progression and metastasis. The endothelial vessel wall plays a significant role in the migration, activation, and polarization of these monocytes. Therefore, it is crucial to incorporate an endothelial cell (EC) barrier within an in vitro cancer model for elucidating transendothelial migration of monocytes along with high-throughput screening capabilities. The IFlowPlate is a high-throughput organ-on-a-chip device created on a 384-well plate modified by creating 128 tissue compartments created by connecting three wells with a single channel to model interstitial flow. Due to its simple design, it can be easily modified to model any tissue type. To study the effects of the EC barrier on tumor-promoted monocyte migration, cancer spheroids were embedded within a fibrin hydrogel with an EC barrier on the hydrogel surface to mimic the vessel wall. THP-1 monocyte migration was observed in the presence of patient-derived glioblastoma cancer spheroids and interstitial flow, and the presence of the human umbilical vein endothelial cell (HUVEC) barrier slowed and reduced monocyte migration compared with controls without EC barriers. Inflammatory cytokines, such as granulocyte–macrophage colony-stimulating factor (GM-CSF), interleukin-6 (IL-6), interleukin-10 (IL-10), and interleukin-1β (IL-1β) secretion levels increased, while tumor necrosis factor α (TNF-α) and interleukin-12p40 (IL-12p40) levels decreased and monocyte chemoattractant protein-1 (MCP-1) and interleukin-8 (IL-8) levels remained unchanged in the presence of the EC barrier and spheroids, confirming the importance of the EC barrier for monocyte activation and migration. The EC barrier plays a crucial role in promoting and controlling monocyte migration in vivo . The IFlowPlate with a functional EC barrier can be used to model monocyte migration in vitro to study the role of monocytes in cancer prognosis.

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.

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)
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 score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.293
Teacher spread0.278 · 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