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Record W2996978679 · doi:10.1093/neuonc/noz175.159

CBMT-37. OSMR CONTROLS CELLULAR RESPIRATION AND RESISTANCE TO THERAPY

2019· article· en· W2996978679 on OpenAlexaff
Ahmad Sharanek, Audrey Burban, Arezu Jahani‐Asl

Bibliographic record

VenueNeuro-Oncology · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune cells in cancer
Canadian institutionsMcGill University
Fundersnot available
KeywordsBiologyCell biologySignal transductionCancer researchCell growthReceptorBiochemistry

Abstract

fetched live from OpenAlex

Abstract Cytokines and their receptors play important roles in the regulation of cell fate, inflammation and immunity. The cytokine receptor for Oncostatin M (OSMR) drives brain tumor stem cell (BTSC) proliferation and tumorigenesis. Here, we report a novel role for OSMR in regulation of cellular respiration. Genetic knockdown of OSMR in BTSCs impairs mitochondrial biogenesis and oxidative phosphorylation. Importantly, blockade of OSMR signalling in BTSCs sensitizes them to ionizing radiation and Temozolomide in vitro and in vivo. This mechanism whereby OSMR regulates mitochondrial respiration and metabolism is conserved in post-mitotic neutrons. Thus, while OSMR is required for BTSC proliferation, OSMR confers resistance to therapy via enhancing mitochondrial respiration, independent of its role in proliferation. Our data suggest that therapeutic targeting of OSMR may be beneficial to eradicate quiescent tumour stem cells and tumour relapse.

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 score0.009

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)0.0030.001

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 head0.014
GPT teacher head0.261
Teacher spread0.247 · 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
Published2019
Admission routes1
Has abstractyes

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