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Record W4239860724 · doi:10.1093/neuonc/nox168.1042

TMOD-03. GENES PRESERVING STEM CELL STATE IN GROUP 3 MB BTICS CONTRIBUTE TO THERAPY EVASION AND RELAPSE

2017· article· en· W4239860724 on OpenAlexaff
David Bakhshinyan, Ashley Adile, Chitra Venugopal, Mohini Singh, Maleeha Qazi, Branavan Manoranjan, Michelle Kameda-Smith, Sheila K. Singh

Bibliographic record

VenueNeuro-Oncology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Research and Treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBiologyStem cellPopulationDownregulation and upregulationMedulloblastomaGeneCancer researchOncologyInternal medicineMedicineGenetics

Abstract

fetched live from OpenAlex

Medulloblastoma (MB) is the most common malignant pediatric brain tumor. Out of all the subgroups, Group 3 patients face the highest incidence of leptomeningeal spread and overall patient survival of less than 50%. Current clinical trials for recurrent MB patients based on genomic profiles of primary, treatment-naïve tumors, provide limited clinical benefit since recurrent metastatic MBs are highly genetically divergent from their primary tumors. By adapting the existing COG (Children’s Oncology Group) Protocol for children with newly diagnosed high-risk MB for treatment of immuno-deficient mice intracranially engrafted with human MB brain tumor initiating cells (BTICs), we have characterized the rare treatment-refractory cell population in Group 3 MBs. MB cell populations recovered separately from brains and spines during the course of tumor development and therapy were comprehensively profiled for gene expression analysis, stem cell and molecular features to generate a global, comparative profile of MB cells through therapy to relapse. One of the most intriguing observations from our gene expression data was consistent over-expression of proteins belonging to Inhibitor of DNA-binding/differentiation (ID) family, transcription factors with a basic helix-loop-helix motif that act as suppressors cellular differentiation and a longevity associated protein bactericidal/permeability-increasing fold-containing-family-B-member-4 (BPIFB4) in our refractory population. The persistent upregulation of genes preserving undifferentiated state and cellular longevity further strengthens the hypothesis of stem-cell like cells driving tumor relapse in MB. The upregulation of the top 90 genes in our relapse cohort was predictive of worse overall survival in patients diagnosed with Group 3 MB. Furthermore, through application of cellular barcoding technology, we next aim to determine how MB BTICs evolve in response to therapy. Our differential genomic and gene expression profiles of the “treatment-responsive” tumors against those that fail therapy will thus contribute to discovery of novel therapeutic targets for the most aggressive subgroup of MB.

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 score0.004
Threshold uncertainty score0.014

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)0.0040.001

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 head0.027
GPT teacher head0.322
Teacher spread0.295 · 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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