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Record W7014959475

The Role of Neutrophils in The Invasive Behaviour of Oral Squamous Cell Carcinoma

2014· dissertation· W7014959475 on OpenAlexfundaboutno aff

Bibliographic record

VenueTSpace · 2014
Typedissertation
Language
FieldImmunology and Microbiology
TopicImmune cells in cancer
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsInvadopodiaBasal cellCancerIn vitroCancer cellCell cultureCellProgrammed cell death
DOInot available

Abstract

fetched live from OpenAlex

Oral cancers are the 15th leading cause of cancer death in Canada with an overall high mortality rate (Canadian Cancer Society, 2013). A review of the current literature on neutrophils supports a pro-tumour role of neutrophils in oral squamous cell carcinomas (OSCC) but the precise mechanisms still need to be clarified. The interaction between human neutrophils and human oral cancer cell line (UMSCC47) was investigated using quantitative in vitro invasion and matrix degradation assays. Both direct and indirect co-­cultures of UMSCC47 and neutrophils increased the invasiveness of cancer cells through and increase in the number of invadopodia and matrix degradation. The results of this study show that neutrophils increase the invasiveness of OSCC through the activation of invadopodia, suggesting that the presence of neutrophils in the oral environment may modulate the clinical behaviour of OSCC.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.269
Teacher spread0.260 · 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 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

Citations0
Published2014
Admission routes2
Has abstractyes

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