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Record W2509057822 · doi:10.18632/oncotarget.11680

Targeting hexokinase 2 enhances response to radio-chemotherapy in glioblastoma

2016· article· en· W2509057822 on OpenAlex
Alenoush Vartanian, Sameer Agnihotri, Mark R. Wilson, Kelly Burrell, Peter D. Tonge, Amir Alamsahebpour, Shahrzad Jalali, Michael S. Taccone, Sheila Mansouri, Brian Golbourn, Kenneth Aldape, Gelareh Zadeh

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOncotarget · 2016
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsHospital for Sick ChildrenToronto Western HospitalUniversity Health NetworkSickKids Foundation
FundersCanadian Institutes of Health Research
KeywordsTemozolomideMedicineGene knockdownCancer researchGlioblastomaRadiation therapyHexokinaseChemotherapyCancerOncologyRadioresistanceInternal medicineCell cultureBioinformaticsBiologyMetabolismGlycolysisGenetics

Abstract

fetched live from OpenAlex

// Alenoush Vartanian 1, * , Sameer Agnihotri 1, * , Mark R. Wilson 1 , Kelly E. Burrell 1 , Peter D. Tonge 1 , Amir Alamsahebpour 1 , Shahrzad Jalali 1 , Michael S. Taccone 1 , Sheila Mansouri 1 , Brian Golbourn 2 , Kenneth D. Aldape 1 , Gelareh Zadeh 1, 2, 3 1 MacFeeters Hamilton Center for Neuro-Oncology, Toronto, Canada 2 Arthur and Sonia Labatt Brain Tumour Research Centre, SickKids Hospital, Toronto, Canada 3 University Health Network, Toronto Western Hospital, Toronto, Canada * These authors contributed equally to this work Correspondence to: Gelareh Zadeh, email: gelareh.zadeh@uhn.on.ca Keywords: glioblastoma, metabolism, cell signaling, novel treatments Received: March 22, 2016      Accepted: August 11, 2016      Published: August 29, 2016 ABSTRACT First-line cancer therapies such as alkylating agents and radiation have limited survival benefits for Glioblastoma (GBM) patients. Current research strongly supports the notion that inhibition of aberrant tumor metabolism holds promise as a therapeutic strategy when used in combination with radiation and chemotherapy. Hexokinase 2 (HK2) has been shown to be a key driver of altered metabolism in GBM, and presents an attractive therapeutic target. To date, no study has fully assessed the therapeutic value of targeting HK2 as a mechanism to sensitize cells to standard therapy, namely in the form of radiation and temozolomide (TMZ). Using cell lines and primary cultures of GBM, we showed that inducible knockdown of HK2 altered tumor metabolism, which could not be recapitulated by HK1 or HK3 loss. HK2 loss diminished both in vivo tumor vasculature as well as growth within orthotopic intracranial xenograft models of GBMs, and the survival benefit was additive with radiation and TMZ. Radio-sensitization following inhibition of HK2 was mediated by increased DNA damage, and could be rescued through constitutive activation of ERK signaling. This study supports HK2 as a potentially effective therapeutic target in GBM.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.306
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

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)0.0010.000

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 head0.008
GPT teacher head0.276
Teacher spread0.267 · 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