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Record W2903244975 · doi:10.5414/np301105

ATRX protein loss and deregulation of PI3K/AKT pathway is frequent in pilocytic astrocytoma with anaplastic features

2018· article· en· W2903244975 on OpenAlexaff
Adriana Olar, Vidya Mehta, Annekathrin Reinhardt, Jawad Manekia, Maria N. Garnovskaya, Benjamin Ellezam, Rajyalakshmi Luthra, Erik P. Sulman, Carrie Mohila, Gerald A. Campbell, Suzanne Z. Powell, Gregory N. Fuller, Kenneth Aldape, Adekunle M. Adesina

Bibliographic record

VenueClinical Neuropathology · 2018
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsATRXPTENBiologyCancer researchPI3K/AKT/mTOR pathwayPilocytic astrocytomaAnaplastic astrocytomaImmunohistochemistryGliomaPathologyAstrocytomaMedicineMutationGeneticsSignal transductionGeneImmunology

Abstract

fetched live from OpenAlex

INTRODUCTION: Pilocytic astrocytoma (PA) with anaplastic features (PAAF) is a rare entity associated with decreased survival. It is characterized by hypercellularity, atypia, brisk mitotic activity, variable necrosis, and association with a classic PA component or anaplastic transformation in a recurrent tumor with a previously-documented classic PA. MATERIALS AND METHODS: , 6q23, p16(Ink4a) by sequencing, FISH, and immunohistochemistry. RESULTS: /6q23 deletion. CONCLUSION: alteration as well as dysregulation of the PI3K/AKT pathway and, less often, of the MAPK/ERK pathway in PAAF. .

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: Observational · Consensus signal: Observational
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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.025
GPT teacher head0.319
Teacher spread0.293 · 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 designObservational
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

Citations17
Published2018
Admission routes1
Has abstractyes

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