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Record W2143566621 · doi:10.1586/14737140.2015.1058711

Invadopodia: a new therapeutic target to block cancer metastasis

2015· editorial· en· W2143566621 on OpenAlexaff
Konstantin Stoletov, John D. Lewis

Bibliographic record

VenueExpert Review of Anticancer Therapy · 2015
Typeeditorial
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsInvadopodiaIntravasationMetastasisExtravasationMedicineCancerCancer cellProteasesMatrix metalloproteinaseCancer metastasisCancer researchPathologyBiologyInternal medicineEnzyme

Abstract

fetched live from OpenAlex

Cancer cells become dangerous when they acquire the ability to invade through physical barriers in the body and disseminate to distant sites. Recent evidence has demonstrated that cancer cells utilize specialized structures called invadopodia, unique protrusions that concentrate proteases such as matrix metalloproteinases (MMPs), to escape blood vessels during the process of extravasation. Perhaps most exciting is the fact that inhibition of invadopodia through genetic or pharmacological means reduces the ability of cancer cells to extravasate and effectively blocks metastasis. This opens the door for the development of novel therapies targeting invadopodia and cancer metastasis.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.370
Teacher spread0.343 · 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.

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

Citations36
Published2015
Admission routes1
Has abstractyes

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