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Record W1486569912

17-allylamino-17-demethoxygeldanamycin disrupts SYT-SSX-β-catenin interaction in synovial sarcoma

2006· article· en· W1486569912 on OpenAlexaff
Jefferson Terry, Torsten O. Nielsen

Bibliographic record

VenueClinical Cancer Research · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsUniversity of British ColumbiaUniversity of British Columbia Hospital
Fundersnot available
KeywordsPathogenesisCateninSynovial sarcomaCancer researchWnt signaling pathwayTranscription factorBiologyCell cultureEndogenyChromosomal translocationCell biologyChemistryMedicineSignal transductionImmunologySarcomaEndocrinologyPathologyGeneticsGene
DOInot available

Abstract

fetched live from OpenAlex

B32 The Hsp90 chaperone inhibitor 17-allylamino-17-demethoxygeldanamycin (17-AAG) is effective against synovial sarcoma (SS) in vitro ; this study tested if its mechanism of action involves destabilization of the disease-defining fusion oncoprotein SYT-SSX and its interaction with β-catenin. SS has a poor prognosis overall as it typically exhibits little response to conventional chemotherapy; drugs that specifically target the aberrations that underlie SS pathogenesis are likely to be more effective. Although its role in pathogenesis is incompletely understood, SYT-SSX is an attractive therapeutic target because it is ubiquitous in SS, its expression in non-malignant cell lines has been shown to be oncogenic, and β-catenin-SYT-SSX interaction in the nucleus increases nuclear β-catenin levels and enhances β-catenin-mediated transcription, demonstrating a link between SYT-SSX and the cell cycle machinery. Accordingly, relatively high levels of nuclear-localized β-catenin can be demonstrated in a significant proportion of SS cases; this likely plays a role in SS pathogenesis and methods to disrupt the SYT-SSX-β-catenin interaction may lead to the development of effective clinical therapies. 17-AAG destabilizes fusion oncoproteins in other cancers, suggesting it may also destabilize SYT-SSX, and by extension result in decreased nuclear β-catenin and β-catenin-mediated signaling. To examine this possibility, the effects of 17-AAG on the subcellular localization of β-catenin, total cellular levels of SYT-SSX and β-catenin and levels of β-catenin-mediated transcription from both exogenous and endogenous sources were examined in two SS cell line models, SYO-1 and Fuji. This study found that 17-AAG disrupts the interaction between β-catenin and SYT-SSX, promotes redistribution of β-catenin from the nucleus to the cell membrane and decreases levels of β-catenin-mediated transcription in both cell line models. These effects were not associated with degradation of SYT-SSX itself, however, suggesting that 17-AAG inhibits formation of the β-catenin-SYT-SSX complex by destabilizing unidentified intermediary binding partner(s), or by affecting post-translational modification(s) of β-catenin or SYT-SSX required for interaction. This study demonstrates that the clinically-applicable drug 17-AAG disrupts a connection between the SS-defining fusion protein SYT-SSX and the cell cycle machinery and presents additional evidence for SYT-SSX and β-catenin as valid therapeutic targets in SS.

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 score0.001
Threshold uncertainty score0.003

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 communication0.0000.000
Open science0.0000.000
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 head0.147
GPT teacher head0.518
Teacher spread0.370 · 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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