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Record W3047453056 · doi:10.1158/1538-7445.pedca19-b43

Abstract B43: The c-Myc/AKT1/TBX3 axis is important to target in the treatment of embryonal rhabdomyosarcoma

2020· article· en· W3047453056 on OpenAlexaboutno aff
Danica Sims, Hapiloe Mabaruti Maranyane, Jade Peres, Sharon Prince

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsRhabdomyosarcomaEmbryonal rhabdomyosarcomaCancer researchSarcomaBiologyIn vivoPediatric cancerImmunohistochemistryCancerCell migrationSoft tissue sarcomaPAX3PathologyCell growthTranscription factorCellMedicineGenetics

Abstract

fetched live from OpenAlex

Abstract Rhabdomyosarcoma (RMS), a pediatric cancer of the skeletal muscle, is the most common malignant soft-tissue sarcoma in children and adolescents. There are two main subtypes: embryonal RMS (ERMS), which is more prevalent in children and accounts for approximately 75% of RMS cases, and alveolar RMS (ARMS), which presents in adolescents and young adults and accounts for the remaining 25% of cases. Little is known about the molecular mechanisms underpinning ERMS, and there is a need for new and effective therapeutic approaches. Here we investigate the status and role of the T-Box transcription factor 3 (TBX3), which has been well characterized for its function in development and, in particular,r the congenital disorder ulnar mammary syndrome that results from its haploinsufficiency. Conversely, TBX3 has been reported to be overexpressed in numerous cancers including a range of sarcoma subtypes and shown to contribute to oncogenic processes such as cell proliferation, migration, and invasion, in vitro and in vivo tumor-forming ability. To determine the status of TBX3 in ERMS, immunohistochemistry was performed using RMS patient tissue and Western blotting on a panel of RMS cell lines compared to normal myoblast cells. Cell culture models in which TBX3 was either stably knocked down or overexpressed were established, and in vitro and in vivo assays were performed to determine the impact of TBX3 on key hallmarks of cancer including cell proliferation (growth curves), migration (scratch motility assay), as well as tumor formation and invasion in nude mice. Our data showed high TBX3 levels in RMS patient tumor tissue sections as well as in ERMS cell lines tested. Preliminary data reveal that the mechanisms involved in upregulating TBX3 in ERMS involve c-Myc at a transcriptional level and AKT1 at a post-translational level. Importantly, TBX3 was found to promote ERMS cell proliferation and migration, anchorage-independent growth, tumor formation, and metastasis. This study describes for the first time that TBX3 is an oncogene in ERMS and identifies c-Myc/AKT1/TBX3 as an important axis that could be targeted as novel therapeutic approaches for the treatment of this cancer. Citation Format: Danica Anne Sims, Hapiloe Mabaruti Maranyane, Jade Peres, Sharon Prince. The c-Myc/AKT1/TBX3 axis is important to target in the treatment of embryonal rhabdomyosarcoma [abstract]. In: Proceedings of the AACR Special Conference on the Advances in Pediatric Cancer Research; 2019 Sep 17-20; Montreal, QC, Canada. Philadelphia (PA): AACR; Cancer Res 2020;80(14 Suppl):Abstract nr B43.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.015

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.136
GPT teacher head0.428
Teacher spread0.292 · 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 designObservational
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

Citations1
Published2020
Admission routes1
Has abstractyes

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