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Abstract A031: Interplay of YAP1, β-catenin and the SS18-SSX fusion protein in synovial sarcoma

2022· article· en· W4296130467 on OpenAlexaboutno aff
Ilka Isfort, Ruth Berthold, Lorena Heinst, Eva Wardelmann, Marcel Trautmann, Wolfgang Hartmann

Bibliographic record

VenueClinical Cancer Research · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsnot available
Fundersnot available
KeywordsYAP1Gene knockdownBiologyLuciferaseCancer researchFusion proteinImmunoprecipitationFusion geneCateninWnt signaling pathwayTranscription factorMolecular biologyCell biologyCell cultureTransfectionSignal transductionGeneGenetics

Abstract

fetched live from OpenAlex

Abstract Introduction: Synovial sarcoma (SySa) is a rare soft-tissue malignancy characterized by a specific chromosomal translocation t(X;18). The resulting chimeric SS18-SSX fusion protein drives SySa pathogenesis by dysregulating gene transcription. As therapeutic targeting of SS18-SSX is notoriously difficult, the identification of SS18-SSX-dependent pathomechanisms may uncover novel molecular vulnerabilities. Since previous functional analyses revealed a connection between SS18-SSX and the activity of the transcriptional co-regulators YAP1/TAZ and β-catenin, this study examined a potential crosstalk between these effectors in SySa. Experimental Procedures: Nuclear abundance of YAP1/TAZ and β-catenin was analyzed by immunohistochemistry in a large cohort of SySa tissue specimens. Two SySa cell lines were employed to modulate YAP1/TAZ/β-catenin transcriptional activity by RNAi-mediated knockdown, small molecule inhibitors, and overexpression vectors in vitro. Changes in transcriptional activity were determined via luciferase reporter assays. As YAP1 and β-catenin showed highest interdependence, co-immunoprecipitation experiments were performed to investigate their interplay with the SS18-SSX fusion protein in SySa cells. Results: Immunohistochemically, a substantial subset of SySa tissue specimens showed concurrent nuclear accumulation of YAP1/TAZ and β-catenin. In vitro, SS18-SSX was found to promote YAP1/TAZ and β-catenin transcriptional activity. RNAi-mediated knockdown of YAP1, TAZ or β-catenin and small molecule inhibitor treatment mutually downregulated TEAD and TCF luciferase reporter activity, while expression of hyperactive variants led to a reciprocal luciferase reporter induction. Finally, co-immunoprecipitation assays demonstrated nuclear co-localization of SS18-SSX with YAP1 and β-catenin in SySa cell lines. Conclusions: This study reveals an interdependency between YAP1 and β-catenin activation and a complex interplay with the SySa-specific SS18-SSX fusion protein. Citation Format: Ilka Isfort, Ruth Berthold, Lorena Heinst, Eva Wardelmann, Marcel Trautmann, Wolfgang Hartmann. Interplay of YAP1, β-catenin and the SS18-SSX fusion protein in synovial sarcoma [abstract]. In: Proceedings of the AACR Special Conference: Sarcomas; 2022 May 9-12; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2022;28(18_Suppl):Abstract nr A031.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

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 head0.064
GPT teacher head0.453
Teacher spread0.389 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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