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The adhesion molecules NCAM, HCAM, PECAM‐1 and ICAM‐1 in normal salivary gland tissues and salivary gland malignancies

2004· article· en· W2105546257 on OpenAlexaff
Kristina Perschbacher, Linda Jackson‐Boeters, Tom D. Daley

Bibliographic record

VenueJournal of Oral Pathology and Medicine · 2004
Typearticle
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsWestern University
FundersNational Organization for Rare Disorders
KeywordsPerineural invasionSalivary glandPathologyNeural cell adhesion moleculeCell adhesion moleculeImmunohistochemistryIntercellular Adhesion Molecule-1Adenoid cystic carcinomaSalivary gland cancerCD44MedicineCancerBiologyCarcinomaCell adhesionCellInternal medicineImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: Some malignant salivary gland tumors are known for their propensity to exhibit perineural invasion and vascular metastases. It was hypothesized that alterations in the expression of cell adhesion molecules are involved in these processes. METHODS: The expression and distribution of neural cell adhesion molecule (NCAM), HCAM (CD44), platelet-endothelial cell adhesion molecule-1 (PECAM-1), and intercellular cell adhesion molecule-1 (ICAM-1) in normal salivary gland tissues and selected salivary gland malignancies, especially adenoid cystic carcinoma (AdCyCa) and polymorphous low-grade adenocarcinoma (PMLG), were determined immunohistochemically, and their influence on histologically demonstrated perineural invasion, vascular invasion, and tumor recurrence/patient death were investigated. RESULTS: NCAM, HCAM, and ICAM-1 were often found to be expressed by neoplastic cells, but no correlation to perineural invasion, tumor behavior, or patient prognosis was found. PECAM-1 was rarely and only focally expressed in three tumors, all of which were related to tumor metastases and patient death. CONCLUSIONS: Immunohistochemical demonstration of NCAM, HCAM, and ICAM-1 is not related to perineural invasion or tumor behavior. PECAM-1 expression was related to vascular invasion and poor patient prognosis in three cases.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score0.492

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.315
Teacher spread0.294 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations22
Published2004
Admission routes1
Has abstractyes

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