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Record W4309019064 · doi:10.1093/neuonc/noac209.1104

TMIC-60. THE ROLE OF ICAM1 IN GLIOBLASTOMA TUMORIGENESIS UNDER HYPOXIC CONDITIONS

2022· article· en· W4309019064 on OpenAlexaff
Kaviya Devaraja, Olivia Singh, Sheila Mansouri, Hafsah Ali, Gelareh Zadeh

Bibliographic record

VenueNeuro-Oncology · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer CentreOccupational Cancer Research CentreUniversity of Toronto
Fundersnot available
KeywordsCarcinogenesisTumor microenvironmentCancer researchICAM-1BiologyCell growthCell adhesion moleculeTumor progressionCell adhesionIntracellularCellCell biologyCancerTumor cellsBiochemistry

Abstract

fetched live from OpenAlex

Abstract Glioblastoma (GBM) is a fatal brain cancer in adults with ineffective existing treatment methods. Cell adhesion molecules (CAMs) are proteins that are expressed on the surface of cells and enable them to interact with one another and the surrounding microenvironment. Intracellular adhesion molecule 1 (ICAM-1) is a cell adhesion molecule expressed by macrophages, tumor cells and endothelial cells in GBM. Preliminary data showed that ICAM-1 is associated with poorer overall and progression free survival in GBM patients and ICAM-1 expression levels increase in recurrent GBM tumors. TAMs enhance tumor growth and proliferation, within GBM. The goal of this study was to determine whether and how ICAM-1 expression on TAMs contributes to GBM tumorigenesis, specifically within the hypoxic tumor microenvironment. We hypothesized that ICAM1 facilitates TAM migration, proliferation and phagocytosis, thus enhancing tumor growth. We found that upon incubation of human and mouse primary macrophages in hypoxia, ICAM-1 expression levels increased and were further exasperated upon culturing with tumor cell-conditioned medium. Incubation of ICAM-1 deficient macrophages in hypoxia resulted in lower migration and proliferation in ICAM-1 deficient cells compared to wild type cells. When cultured with tumor cell condition media, migration and proliferation of ICAM-1 deficient macrophages was lower than wild type macrophages. Further, intracranial injection of tumor cells into ICAM-1 deficient and wild type mice revealed that ICAM1 deficient mice survived longer and had lower overall tumor volume than wild type mice. In conclusion, the expression of ICAM1 in TAMs likely promotes GBM tumorigenesis by enhancing their proliferation and migration into the tumor microenvironment. ICAM-1 plays a role in macrophage migration, proliferation, and its expression on TAMs, resulting in more aggressive and invasive tumors. In addition, certain environmental factors like hypoxia further enhance the expression of ICAM-1 in macrophages which is associated with more aggressive features of GBM.

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 score0.002
Threshold uncertainty score0.008

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.258
Teacher spread0.250 · 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
Published2022
Admission routes1
Has abstractyes

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