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Record W2499313172 · doi:10.1158/1538-7445.am2016-2524

Abstract 2524: STAT3 is a key regulator of an “EMT-like” process mediated by Slug in GBM

2016· article· en· W2499313172 on OpenAlexaff
Charles Chesnelong, H. Artee Luchman, J. Gregory Cairncross, Samuel Weiss

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldMedicine
TopicFerroptosis and cancer prognosis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSlugEpithelial–mesenchymal transitionSTAT3Twist transcription factorTranscription factorCancer researchBiologyTranscriptomeSTAT proteinMesenchymal stem cellRegulatorCancerOncologyMedicineGeneGene expressionMetastasisGenetics

Abstract

fetched live from OpenAlex

Abstract Glioblastoma Multiforme (GBM) is the most aggressive subtype of adult brain tumor with a median survival of 15 months. Despite a combination of maximal safe resection, radiation and chemotherapy, GBM invariably recurs, highlighting the need to better delineate the basis of recurrent disease and develop novel, more targeted and effective therapies. The Signal Transducer and Activator of Transcription 3 (STAT3) has been implicated in a proneural to mesenchymal shift associated with the emergence of a more aggressive, more resistant GBM phenotype at recurrence. Brain Tumor Initiating Cells (BTICs), defined by the key features of self-renewal, multipotency and tumorigenic potential, are integral players of recurrence post-treatment and represent a “reservoir of disease” that needs to be specifically targeted if GBM outcome is to be improved. Analysis of GBM patient transcriptomic data from The Cancer Genome Atlas (TCGA) shows that an Epithelial to Mesenchymal Transition (EMT) gene signature is particularly enriched in the mesenchymal subtype, tightly correlates with STAT3 activity and is associated with shorter survival. The key EMT transcription factor Slug is also highly expressed in mesenchymal samples and associated with poorer prognosis. Interestingly, we found stronger expression of EMT transcription factors Snail, Slug and Twist in faster proliferating, more aggressive BTIC lines. Noteworthy, Slug was more highly expressed in both BTICs and parental tumors compared to Snail and Twist and positively correlated with pSTAT3. We also found that Slug expression correlates with faster growth in vitro and shorter survival in orthotopic xenografts. Conversely, higher E-cadherin expression correlates with slower growth and longer survival of xenografted mice. While Slug is not a known STAT3 target gene (unlike Twist and Snail), we show that Slug expression is decreased after pharmacological inhibition of STAT3 signaling in BTICs. In contrast, activation of the STAT3 pathway via growth factor/cytokine treatment (EGF, OSM), as well as expression of a constitutively active form of STAT3 promotes Slug expression. We have identified a potential STAT3 consensus binding site in the Slug promoter and preliminary Chromatin Immuno Precipitation (ChIP) experiments suggest that Slug is a novel direct transcriptional target of STAT3. Over-expression of Slug in BTIC lines triggered down-regulation of E-cadherin and resulted in increased Cyclin D1 and pRB protein levels. However, we found that Cyclin D1 RNA levels remain unchanged suggesting that overexpression of Slug leads to the post-transcriptional stabilization of Cyclin D1 potentially via repression of UbcH5C. To conclude, STAT3 is a key regulator of an EMT-like process in GBM BTICs, mediated at least in part by Slug. Our results suggest that STAT3 and the key regulator Slug may be involved in the promotion of a more aggressive GBM phenotype and represent interesting therapeutic targets in GBM. Citation Format: Charles Chesnelong, H. Artee Luchman, J. Gregory Cairncross, Samuel Weiss. STAT3 is a key regulator of an “EMT-like” process mediated by Slug in GBM. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2524.

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 score0.005
Threshold uncertainty score0.017

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)0.0050.001

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 head0.070
GPT teacher head0.427
Teacher spread0.357 · 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".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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