MétaCan
Menu
Back to cohort

PAX3-FKHR Regulates the Expression of Pleiotrophin to Mediate Motility in Alveolar Rhabdomyosarcoma Cells

2012· article· en· W2145243844 on OpenAlexvenueno aff
Lingling Liu, Taosheng Chen

Bibliographic record

VenueJournal of cancer research updates · 2012
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsnot available
FundersNational Cancer InstituteAmerican Lebanese Syrian Associated CharitiesSt. Jude Children's Research Hospital
KeywordsPleiotrophinAlveolar rhabdomyosarcomaMotilityTranscription factorPAX3Cell biologyCancer researchBiologyRhabdomyosarcomaGeneGrowth factorGeneticsReceptor

Abstract

fetched live from OpenAlex

More than 80% of the aggressive alveolar rhabdomyosarcoma (ARMSs) harbor a PAX3-FKHR fusion transcription factor, which regulates cell motility and promotes metastasis. Our hypothesis is that PAX3-FKHR regulates cell motility by regulating the expression of its transcriptional targets that are also its downstream effectors, which if identified, may lead to novel therapeutic approaches for treating ARMS. Here we report that PAX3-FKHR regulates the expression of pleiotrophin (PTN) by binding specifically to a paired-box domain binding-site in the PTN promoter, indicating that PTN is a transcriptional target of PAX3-FKHR. Significantly, we show that PTN regulates ARMS cell motility. Taken together, we have identified PTN as a novel transcriptional target of PAX3-FKHR that promotes ARMS cell motility. PTN may be a novel therapeutic target for the treatment of ARMS.

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 score0.005

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)0.0020.000

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 head0.061
GPT teacher head0.414
Teacher spread0.353 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueJournal of cancer research updatesSame topicSarcoma Diagnosis and TreatmentFrench-language works237,207