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Record W2334751121 · doi:10.1093/neuonc/nou256.16

GE-16 * JAPANESE PEDIATRIC MOLECULAR NEURO-ONCOLOGY GROUP (JPMNG): ESTABLISHMENT OF A NATIONWIDE MOLECULAR DIAGNOSTIC NETWORK FOR PEDIATRIC MALIGNANT BRAIN TUMORS IN JAPAN

2014· article· en· W2334751121 on OpenAlexaff
Yonehiro Kanemura, K. Ichimura, Tomoko Shofuda, Ryuzo NISHIKAWA, Mami Yamasaki, Michael D. Taylor, Hiroyuki Arai, Soichiro Shibui

Bibliographic record

VenueNeuro-Oncology · 2014
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedulloblastomaImmunohistochemistryWnt signaling pathwayMolecular pathologyFluorescence in situ hybridizationSurgical oncologyBiologyMolecular geneticsGeneOncologyPathologyInternal medicineMedicineCancer researchGeneticsChromosome

Abstract

fetched live from OpenAlex

Recent intensive molecular biological analyses revealed that pediatric brain tumors can be subclassified into multiple distinct molecular subgroups. The current consensus is that medulloblastomas consist of four core subgroups, and the sub-grouping of ependymomas is being proposed. This molecular sub-grouping system will not only improve our understanding of the biology of these tumors, but may also contribute for the development of novel therapeutic targets and strategies in the future. We have formed the Japanese Pediatric Molecular Neuro-oncology Group (JPMNG) and initiated a new clinical research project to establish a nationwide network of a molecular diagnosis system for pediatric brain tumors in Japan with the aim to provide a standardized molecular diagnosis according to the international consensus. We initially focus on medulloblastomas and ependymomas. Fresh, fresh-frozen and/or formalin-fixed paraffin-embedded archived tissue specimens are collected. Optimal diagnostic methods are being set up to reliably and reproducibly classify them into molecular subgroups according to the consensus criteria. These include gene expression analysis using the NanoString nCounter system, immunohistochemistry, RT-PCR, DNA sequencing, fluorescence in situ hybridization, and DNA methylation analysis. We have so far collected a total of 85 tissue samples including 30 medulloblastomas and 55 ependymomas. Preliminary study using 17 meduloblastomas indicated that proportions of four core subgroups were WNT (12%), SHH (35%), Group 3 (0%) and Group 4 (53%), respectively. Driver gene analysis showed that two WNT medulloblastomas had CTNNB1 mutations and TP53 mutations were found in one WNT and one SHH tumors. Mutation of TERT promoter was also found in one adult SHH tumors. We expect that this research will provide a highly accurate molecular diagnosis of medulloblastoma and ependymoma comparable to the international standard, leading to form a basis for better clinical management and outcomes and to develop new therapeutic strategies of the pediatric brain tumors in Japan.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.010
GPT teacher head0.266
Teacher spread0.256 · 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 designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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