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Record W2900138717 · doi:10.1093/neuonc/noy148.125

CBMT-06. LOWER GRADE ISOCITRATE DEHYDROGENASE (IDH) MUTANT GLIOMAS METABOLICALLY MIMICKING GLIOBLASTOMA (GBM) EXPRESS HIGHER R:S 2-HYDROXYGLUTARATE RATIOS RELATIVE TO NON-GBM-MIMICKING IDH MUTANT GLIOMAS

2018· article· en· W2900138717 on OpenAlexaff
Romina Nejad, Farshad Nassiri, Yasin Mamatjan, Hao‐Wen Sim, Eric X. Chen, Sameer Agnihotri, Kenneth Aldape, Gelareh Zadeh

Bibliographic record

VenueNeuro-Oncology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsUniversity Health NetworkToronto Western HospitalPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsIsocitrate dehydrogenaseIDH1GliomaCancer researchMutantWild typeCarcinogenesisMetabolic pathwayBiologyChemistryMetabolismInternal medicineMedicineEnzymeCancerBiochemistryGene

Abstract

fetched live from OpenAlex

Glioma patients continue to carry a very poor prognosis despite maximal therapy, urging for the development of novel therapies. Previous studies have identified mutations of metabolic enzymes directly regulating cellular metabolism, specifically, isocitrate dehydrogenase (IDH1/2) mutation. IDH1/2 mutations occur early in glioma pathogenesis and result in the accumulation of oncometabolite 2-hydroxylgutarate (2-HG), with the preferential accumulation of the R relative to the S enantiomer of 2-HG. This metabolic reprogramming may help explain treatment resistance and highlight potential metabolic pathways involved in tumorigenesis. To investigate the metabolic profile of a cohort of gliomas, we used ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) to detect a set of 689 metabolites in 90 IDH1 mutant and IDH1 wildtype gliomas. Unsupervised consensus clustering identified two distinct metabolic subgroups of gliomas: metabolic group 1, which consists of only IDH1 mutated tumors (n=30) and metabolic group 2, which consists of all IDH1 wildtype tumors and a subset of IDH1 mutated tumors (n=60). We therefore, termed these IDH1 mutated tumors in metabolic group 2 as “GBM mimickers”. Importantly, comparison of IDH mutant tumors from metabolic group 1 versus the GBM mimickers showed distinct R:S 2-HG ratio differences, specifically with the GBM mimickers expressing significantly higher R:S 2-HG ratios (mean R:S 2-HG 2421.44 vs. 625.46, p=0.014). Moreover, the GBM mimickers showed significantly decreased progression free survival (20 months vs. 49 months, p<0.05, respectively) and increased tumor enhancement on imaging versus their IDH1 mutated counterparts in metabolic group 1 (100% vs. 37.5%, p<0.0001), suggesting that R:S 2-HG ratio may be a marker of poor outcome. CONCLUSION: Our data supports distinct metabolic subtypes of IDH mutant gliomas, and highlights the use of R:S 2-HG ratio as a potential marker of poor outcome in IDH mutant gliomas.

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 score0.004
Threshold uncertainty score0.008

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)0.0020.001

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 head0.015
GPT teacher head0.278
Teacher spread0.264 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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