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Record W2504632565 · doi:10.1158/1538-7445.am2016-2521

Abstract 2521: STAT3 is a central regulator of proliferation, invasion and metabolism in GBM tumor initiating cells

2016· article· en· W2504632565 on OpenAlexaff
Ian J. Restall, H. Artee Luchman, Samuel Weiss

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCancer researchSTAT3BiologySTAT proteinGliomaCell growthCell cultureGene signatureRegulatorGene expressionSignal transductionGeneCell biologyGenetics

Abstract

fetched live from OpenAlex

Abstract Glioblastoma multiforme (GBM) is the most aggressive primary brain tumor. Currently, treatment for GBM involves surgical resection, chemotherapy, and radiation, resulting in a median survival of 15 months. This poor outcome highlights the need for improved therapeutic approaches to treat GBM patients. The signal transducer and activator of transcription 3 (STAT3) pathway is abnormally active in GBM, primarily in the mesenchymal subtype of GBM. STAT3 regulates various cellular processes including: proliferation, invasion and resistance to therapy. The Weiss lab has established a large collection of brain tumor initiating cell (BTIC) lines derived from GBM patients. These GBM BTIC lines are used to model the subpopulation of cells that are predicted to be the source of resistance and recurrence following treatment. Here, we are focused on the role of STAT3 as a central regulator of proliferation, invasion and metabolism in GBM BTIC lines. We show that activation of the STAT3 pathway using the ligand oncostatin M (OSM) or by stably expressing a constitutively active STAT3 mutant (STAT3C) in GBM BTIC lines leads to an increase in proliferation. STAT3 is known to regulate the expression of multiple matrix metalloproteinases (MMPs) that promote invasion. Using time-lapse imaging of 3D sphere invasion into matrigel, we observed that JAK2 (an activator of STAT3) and direct STAT3 inhibitors decrease invasion of GBM BTICs. Our analysis of gene expression data available from The Cancer Genome Atlas (TCGA) demonstrates that a glutamine metabolism gene expression signature correlates inversely with a STAT3 gene expression signature in GBM patient samples. Conversely, similar analysis reveals that a high glycolysis gene expression signature correlates with a high STAT3 gene expression signature. We hypothesize that targeting the STAT3 pathway will decrease proliferation and invasion while simultaneously sensitizing GBM BTIC lines to inhibition of glutamine metabolism. Glutaminase (GLS) is the first enzyme to act on glutamine, converting glutamine to glutamate, which is then further processed to α-ketoglutarate (αKG). αKG is important for the production of biosynthetic macromolecules that are essential for cell growth. Chemical inhibition of GLS decreases cell growth in culture with varying levels of sensitivity across multiple GBM BTIC lines. Interestingly, activation of the STAT3 pathway using OSM de-sensitizes GBM BTIC lines to GLS inhibition. Furthermore, chemical inhibition of JAK2 sensitizes a subset of GBM BTIC lines to GLS inhibition resulting in a further decrease in cell growth. Overall, we show that STAT3 is a central hub in GBM BTIC lines that modulates proliferation, invasion, and sensitivity to GLS inhibition. Currently, we are continuing these studies in vivo using GBM BTIC orthotopic xenografts in mice. Citation Format: Ian Restall, H. Artee Luchman, Samuel Weiss. STAT3 is a central regulator of proliferation, invasion and metabolism in GBM tumor initiating cells. [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 2521.

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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.038
GPT teacher head0.337
Teacher spread0.299 · 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
Published2016
Admission routes1
Has abstractyes

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