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Germline PDGFRB p.R987W pathogenic variant in two children with brain tumors

2022· preprint· en· W4308198947 on OpenAlexafffund
HyeRim Han, Samuele Renzi, Valérie Larouche, Damien Faury, Sylvie Langlois, Daniel Sinnett, Andrea Gomez, Jason Karamchandani, Louis Crevier, William D. Foulkes, Nada Jabado

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicMedical Imaging and Pathology Studies
Canadian institutionsMcGill University Health CentreUniversité de MontréalCentre Hospitalier Universitaire Sainte-JustineMcGill UniversityUniversité Laval
FundersCanadian Institutes of Health ResearchGeneralitat de Catalunya
KeywordsPDGFRBGermlineMedulloblastomaMedicineGliomaBiologyCancer researchPathologyGeneGenetics

Abstract

fetched live from OpenAlex

Platelet-Derived Growth Factor Receptor Beta (PDGFRB) is critically implicated in development. Germline pathogenic variants (GPVs) in PDGFRB result in several distinct inherited syndromes including primary familial brain calcifications (PFBC) and infantile myofibromatosis. To date, GPVs in PDGFRB have not been identified in children with brain tumors. Here, we describe the clinicopathological features of a 9-year-old male with a medulloblastoma and an 11-year-old female with a glioma. Sequencing of the blood and tumor samples revealed the same PDGFRB c.2959C>T (p. Arg987Trp) GPV in both children. Additional fusion genes DCTN1-ALK and TRIM24-MET were also identified in the patients’ tumors through RNAseq.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
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 head0.021
GPT teacher head0.321
Teacher spread0.301 · 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 designCase report
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
Published2022
Admission routes2
Has abstractyes

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