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Record W97040042 · doi:10.1096/fasebj.20.5.lb72-c

Acquired Capabilities of Cancer Cells Intersect at ADAM17 (TACE)

2006· article· en· W97040042 on OpenAlexaff
Aleksandra Franovic, Stephen Lee

Bibliographic record

VenueThe FASEB Journal · 2006
Typearticle
Languageen
FieldMedicine
TopicHER2/EGFR in Cancer Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAutocrine signallingGene silencingEpidermal growth factor receptorCancer researchCancer cellCancerBiologyEpidermal growth factorCell biologyReceptor

Abstract

fetched live from OpenAlex

Autocrine signalling is a key feature in human cancer that allows tumour cells to proliferate and invade surrounding tissues independent of external cues. Here we demonstrate that the stable silencing of a single protease, ADAM17, is sufficient to abrogate several malignant phenotypes in clear cell renal carcinoma (RCC), a highly invasive human cancer. Silencing ADAM17 limits the availability of soluble transforming growth factor‐alpha (TGFα), an epidermal growth factor receptor (EGFR) ligand, thereby preventing EGFR activation and the establishment of this autocrine growth stimulatory loop. Moreover, inhibiting ADAM17 impedes tumour inflammation, survival, migration and invasion, and abolishes tumour formation in vivo . These data show that ligand‐shedding is a critical step in EGFR activation and they reveal that targeting one biologically relevant enzyme is sufficient to abrogate several fundamental tumour‐promoting features. The full therapeutic consequence of targeting ADAM17 in the treatment of cancer will be discussed here.

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 score0.007

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 integrity0.0000.001
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 head0.030
GPT teacher head0.330
Teacher spread0.300 · 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
Published2006
Admission routes1
Has abstractyes

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