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Record W4388588953 · doi:10.1093/neuonc/noad179.0677

PATH-47. MOLECULAR MARKERS ASSOCIATED WITH SURVIVAL IN GRADE 3 MENINGIOMA

2023· article· en· W4388588953 on OpenAlexaff
Kira Tosefsky, Alexander D. Rebchuk, Justin Z. Wang, Karina Chornenka, Gelareh Zadeh, Serge Makarenko, Stephen Yip

Bibliographic record

VenueNeuro-Oncology · 2023
Typearticle
Languageen
FieldMedicine
TopicMeningioma and schwannoma management
Canadian institutionsToronto Western HospitalUniversity of TorontoUniversity of British Columbia
Fundersnot available
KeywordsCDKN2ABAP1ImmunohistochemistryMeningiomaGrading (engineering)PathologyMedicineOncologyBiologyInternal medicineCancer researchCancer

Abstract

fetched live from OpenAlex

Abstract Meningiomas have historically been graded using histologic features. However, a subset of meningiomas progress in manners inconsistent with their histologic grading. While TERT promoter (TERTp) mutations and CDKN2A/B homozygous deletion were recently added to the WHO 2021 classification criterion for grade 3 meningioma, the precise prognostic implications of these and other molecular features remain to be fully characterized. In this case series, we explored whether molecular markers were associated with clinical outcomes in a single-center cohort of grade 3 intracranial meningiomas. Demographic, clinical and histopathological information were obtained from the electronic medical records of all grade 3 meningioma cases surgically treated at a tertiary center between 2007-2020. Tissue blocks were reviewed by a neuropathologist and tested for TERTp mutations, BAP1 and CDKN2A/B copy number profiles, and BAP1, p16 and MTAP expression by immunohistochemistry (IHC). Predictors of survival were identified by Cox regression. Fifteen patients (8 female, 7 male) with a median age of 64 (IQR: 48, 74) years were included. Eight (53%) tumors were classified as anaplastic, 6 (40%) as rhabdoid and 1 (6.7%) as papillary. One (7%) rhabdoid tumor exhibited BAP1 loss, while four (27%) tumors harbored TERTp mutations and 3 (20%) demonstrated homozygous CDKN2A/B loss. All three tumors exhibiting homozygous CDKN2A/B loss were MTAP-negative, while two were p16-negative and the third showed focal (< 50%) p16 loss by IHC. TERTp mutations and CDKN2A/B copy number status were associated with significant reductions in RFS (HR = 6.90, 95% CIs: 1.13-42.2 and HR = 12.0, 05% CIs: 1.51-95.4, respectively) and OS (HR = 8.72, 95% CIs: 1.87-40.6 and HR = 6.18, 95% CIs: 1.30-29.4, respectively). The associations between reduced OS and TERTp mutations and CDKN2A/B status remained significant after adjusting for Simpson resection grade. Our findings support using TERT p mutations and CDKN2A/B status for prognostication in grade 3 meningioma.

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)0.001
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
Metaresearch0.0000.001
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)0.0020.000

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 head0.028
GPT teacher head0.290
Teacher spread0.262 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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