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Record W2163841415 · doi:10.2174/0929867043364720

P-selectin Cell Adhesion Molecule in Inflammation, Thrombosis, Cancer Growth and Metastasis

2004· review· en· W2163841415 on OpenAlexaff
Jian-Guo Geng, Ming Chen, Kuo‐Chen Chou

Bibliographic record

VenueCurrent Medicinal Chemistry · 2004
Typereview
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsInstitute for Biological Sciences
Fundersnot available
KeywordsCell adhesionP-selectinCell adhesion moleculeMetastasisInflammationPlateletSelectinCancer cellCell biologyCancer researchAdhesionCancerEndothelial stem cellPlatelet activationChemistryCellImmunologyBiologyMedicineIn vitroBiochemistryInternal medicine

Abstract

fetched live from OpenAlex

P-selectin (CD62P) is a member of the selectin family of cell adhesion molecules. It is expressed on stimulated endothelial cells and activated platelets and mediates leukocyte rolling on stimulated endothelial cells and heterotypic aggregation of activated platelets onto leukocytes. It also mediates heterotypic aggregation of activated platelets to cancer cells and adhesion of cancer cells to stimulated endothelial cells. Using P-selectin knockout mice, the importance of P-selectin-mediated cell adhesive interactions in the pathogeneses of inflammation, thrombosis, growth and metastasis of cancers has been clearly demonstrated. Here we will summarize the current knowledge and highlight the important progress in the biomedical research of P-selectin biology, providing a suitable target for therapeutic interventions developed through both experimental and bioinformatic approaches.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.004

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 head0.060
GPT teacher head0.396
Teacher spread0.336 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations96
Published2004
Admission routes1
Has abstractyes

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