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Record W2140841327 · doi:10.1158/0008-5472.can-08-4766

Src Stimulates Fibroblast Growth Factor Receptor-2 Shedding by an ADAM15 Splice Variant Linked to Breast Cancer

2009· article· en· W2140841327 on OpenAlexaff
Thorsten Maretzky, Sylvain M. Le Gall, Susanne Worpenberg-Pietruk, Jörg Eder, Christopher M. Overall, Xin‐Yun Huang, Zaruhi Poghosyan, Dylan R. Edwards, Carl Blobel

Bibliographic record

VenueCancer Research · 2009
Typearticle
Languageen
FieldMedicine
TopicHER2/EGFR in Cancer Research
Canadian institutionsUniversity of British Columbia
FundersBiotechnology and Biological Sciences Research CouncilUniversity of California, San FranciscoWellcome Trust
KeywordsProto-oncogene tyrosine-protein kinase SrcCancer researchBiologyBreast cancerCancerSrc family kinasespliceCell biologyKinaseBiochemistryGeneGenetics

Abstract

fetched live from OpenAlex

ADAMs (a disintegrin and metalloproteinase) have important roles in development and diseases such as cancer. Previously, an ADAM15 splice variant (ADAM15B), which contains an inserted cytoplasmic Src-binding site, was linked to clinical aggressiveness in breast cancer, yet little was known about how this splice variant affects the function of ADAM15. Here, we show that ADAM15B has enhanced catalytic activity in cell-based assays compared with ADAM15A, which lacks a Src-binding site, using shedding of fibroblast growth factor receptor 2iiib variant as an assay for catalytic activity. Moreover, the enhanced activity of ADAM15B compared with ADAM15A depends on Src because it is abolished by Src-kinase inhibitors and in Src(-/-) cells, but not in Src(-/-) cells rescued with Src. These findings provide insights into the mechanism of how a splice variant linked to clinical agressiveness in breast cancer causes increased activity of ADAM15B, and suggest that inhibitors of the ADAM15 protease activity or of the interaction of ADAM15B with Src could be useful to treat breast cancer in patients with dysregulated ADAM15B.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.375
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0110.000

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 head0.088
GPT teacher head0.451
Teacher spread0.363 · 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 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

Citations36
Published2009
Admission routes1
Has abstractyes

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