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Record W2593895879 · doi:10.1093/neuonc/now293.000

PP01. TARGETING MYC/MYCN BY INHIBITION OF CHECKPOINT KINASE 1 (CHK1) SENSITIZES PAEDIATRIC GLIOBLASTOMA (PGBM) CELLS TO TEMOZOLOMIDE

2017· article· en· W2593895879 on OpenAlexaff
Meera Nandhabalan

Bibliographic record

VenueNeuro-Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsInstitute of Cancer Research
Fundersnot available
KeywordsSynthetic lethalityCancer researchKinomeBiologyGeneATRXDownregulation and upregulationKinaseTemozolomideMutationGeneticsDNA repairGlioma

Abstract

fetched live from OpenAlex

Paediatric glioblastomas (pGBM) are biologically distinct from adults, and are in part defined by highly recurrent mutations in the H3F3A gene which encodes the histone variant H3.3. This causes amino acid substitutions at or close to the residues K27 and K36 whose methylation is key to the regulation of transcription. We found that these subgroups have distinct age of incidence, anatomical location, and clinical outcomes. Specifically, through differential binding of the activating mark trimethylated H3K36me3, the G34 mutation causes upregulation of MYCN, a known oncogenic driver in other paediatric diseases. These tumours were mutually exclusive of those harbouring gene amplification of MYCN, which represent a distinct subgroup of pGBM by methylation profiling. Increased copies of MYC/MYCN occur via complex rearrangements on chromosomes 2 and 8, often co-amplifying ID2, PVT1 and other genes. MYC/MYCN amplifications are observed in 13/851 (1.5%) and 36/851 (4.2%) pHGGs respectively and correlate with poorer survival (p<0.0485). These tumours are most common in children peaking at an age of 5.4 years, thus appearing to define a specific subset of paediatric glioblastoma. A synthetic lethality kinome screen in vitro identified H3.3G34 cells to be differentially sensitive to checkpoint kinase 1 inhibition, known to interfere with the stabilisation of MYCN protein. Screening a panel of pGBM cell lines and primary cultures with a series of CHK1 inhibitors (AZD7762, LY2603618, CCT244747) demonstrated a dose-dependent degradation of MYC/MYCN protein which correlated with in vitro GI50 values. Transduction of pGBM cells with stabilised MYCN (T58A) lead to enhanced sensitivity to CHK1 inhibition in both cell viability and clonogenic assays. Combining CHK1 inhibitors with temozolomide produced significant synergy in cells whose resistance is both independent and dependent on MGMT, resulting in combination indices of 0.3–0.6. These data identify a significant proportion of pGBM to be amenable to CHK1 inhibition by virtue of MYC/MYCN dependency. In addition, CHK1 inhibition may play a role in chemosensitisation of paediatric glioblastoma cells to temozolomide regardless of mechanism of alkylating agent resistance. Therefore, combining temozolomide with CHK1 inhibition may be of particular therapeutic benefit in patients whose tumours amplify and/or express MYC/MYCN.

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 score0.002
Threshold uncertainty score0.007

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 head0.013
GPT teacher head0.276
Teacher spread0.263 · 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
Published2017
Admission routes1
Has abstractyes

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