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Record W2336100438 · doi:10.1093/neuonc/nov209.42

CBIO-42DOWN REGULATION OF PYRUVATE DEHYDROGENASE ACTIVITY IS ESSENTIAL FOR CELL PROLIFERATION IN IDH1 MUTANT GLIOMA CELLS

2015· article· en· W2336100438 on OpenAlexaff
Pavithra Viswanath, José Luis Izquierdo-García, Pia Eriksson, Larry Cai, Marina Radoul, Myriam M. Chaumeil, Michael Blough, H. Artee Luchmann, Samuel Weiss, J. Gregory Cairncross, Joanna J. Phillips, Russell O. Pieper, Sabrina M. Ronen

Bibliographic record

VenueNeuro-Oncology · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMutantPyruvate dehydrogenase complexGliomaIDH1Isocitrate dehydrogenaseChemistryCell growthCell biologyBiochemistryCellEnzymeBiologyCancer researchGene

Abstract

fetched live from OpenAlex

Somatic mutations in the isocitrate dehydrogenase 1 (IDH1) gene occur in 70-90% of low-grade gliomas. The mutation leads to the production of 2-hydroxyglutarate (2-HG), a novel “oncometabolite” that alters the epigenetic profile of DNA and inhibits cellular differentiation. Recent studies indicate that metabolic changes in IDH1 mutant cells extend beyond 2-HG production. We recently demonstrated that steady state levels of glutamate, lactate and phosphocholine were reduced in IDH1 mutant cells using two genetically engineered models, a U87 glioblastoma-based model and a normal human astrocyte (NHA) model. In this study, we explored the mechanism behind the reduction in glutamate levels in IDH1 mutant cells. We discovered that pyruvate dehydrogenase (PDH) activity was significantly reduced in U87 and NHA IDH1 mutant cells compared to wild-type cells. Reduced PDH activity was associated with increased inhibitory phosphorylation of PDH in both models. Examination of mRNA and protein levels for the pyruvate dehydrogenase kinases (PDKs) revealed that PDK3 expression was up-regulated in IDH1 mutant cells in both models. Levels of hypoxia inducible factor-1α (HIF-1α), an established regulator of PDK3 expression in cancer cells, was also higher in IDH1 mutant cells. Importantly, treatment of U87 and NHA IDH1 wild-type cells with 2-HG recapitulated the effects of the IDH1 mutation, with higher levels of HIF-1α and PDK3, and reduced PDH activity, in 2-HG treated cells. Importantly, pharmacological activation of PDH activity by treatment with dichloroacetate, a PDK inhibitor, completely abrogated the increase in clonogenicity conferred by the IDH1 mutation. Treatment of patient-derived mutant IDH1 neurosphere models (BT142 and BT54 cell lines) with dichloroacetate further confirmed that PDH activity is essential for cell proliferation. Thus, our results indicate that reversing the down regulation of PDH activity in IDH1 mutant glioma cells adversely affects their proliferation, a finding with therapeutic implications.

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 score0.003
Threshold uncertainty score0.006

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)0.0010.001

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 head0.016
GPT teacher head0.277
Teacher spread0.262 · 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
Published2015
Admission routes1
Has abstractyes

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