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Record W4403148933 · doi:10.1210/jendso/bvae163.134

7694 Characterizing NF1 Germline Pathogenic Variants In A Cohort Of Patients With Pheochromocytomas And Neurofibromatosis Type 1

2024· article· en· W4403148933 on OpenAlexaffabout
Tzvetena Hristova, Stéphanie Parisien-La Salle, Sarah Lapointe, Danny Tremblay, Emma De Haan, Nadine Dumas, Moujahed Labidi, Zaki El Haffaf, Isabelle Bourdeau

Bibliographic record

VenueJournal of the Endocrine Society · 2024
Typearticle
Languageen
FieldMedicine
TopicAdrenal and Paraganglionic Tumors
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsNeurofibromatosisGermlineMedicineNeurofibromatosis type INeurofibromin 1CohortGeneticsInternal medicineOncologyBiologyPathologyGene

Abstract

fetched live from OpenAlex

Abstract Disclosure: T. Hristova: None. S. Parisien-La Salle: None. S. Lapointe: None. D. Tremblay: None. N. Dumas: None. M. Labidi: None. Z. El Haffaf: None. I. Bourdeau: None. Introduction: Pheochromocytomas and paragangliomas (PPGLs) are the tumors with the highest heritability in adult patients, with identification of a germline mutation in more than 30% of cases. Up to 20 susceptibility genes for PPGLs are known, including NF1. Neurofibromatosis type 1 (NF1) is an inherited disease affecting approximately 1 in 3000 people that predisposes to the development of tumors, such as pheochromocytomas (PHEO). Up to recently, the diagnosis of NF1 was mainly based on clinical manifestations and NF1 genetic characterization was not systematically performed. Objectives: To characterize germline pathogenic variants in the NF1 gene in patients with NF1 developing and PHEO. Methods: We reviewed the charts of patients with a pathology-proven diagnosis of PHEOs that were investigated at Centre hospitalier de l’Université de Montréal (CHUM) between 2000 and May 2023. Genetic analysis included gene sequencing by Sanger method or multigene sequencing by NGS with a panel (Invitae, CA) Results: In our cohort of 220 PHEOs, 15 patients (6.8%) (Males: 6, Females: 9) had a diagnosis of NF1. Mean age at diagnosis of PHEO in NF1 patients was 48 ± 13.6 years, contrasting to the mean age of 38,7 ± 15.2 years in patients carrying germline mutations in non-NF1 genes, most likely reflecting lack of systematic biochemically screening of PHEO in NF1. Urinary metanephrines were elevated in 9/15 patients. 2/15 (15.4%) NF1 patients had bilateral PHEO and 1/15 (7,7%) metastatic disease. Mean tumour diameter was 4.64cm (min-max 1.5 – 12.5 cm). Eight out of 15 NF1 patients underwent NF1 genetic analysis. Heterozygous NF1 germline pathogenic variants were found in all of them: 3 deletions (c.7379delG, c.5844_5845delAA and one encompassing the entire gene), 3 premature stop codons leading to truncated proteins or loss of function (c.7549C>T, c.3916C>T, c.1246C>T), and 2 splicing defects (c.4269+1 G>A, c.1885G>A). Conclusions: We report a large cohort of patients with NF1 and PHEO. The older age at diagnosis of PHEO in NF1 is expected based on lack of systematic biochemical screening for PHEO in NF1 clinical guidelines. We report 8 germline NF1 mutations associated with PHEOs. Further studies are required to fully understand the impact of genetic pathogenic variants in this population and to unravel a possible genotype-phenotype correlation. Presentation: 6/2/2024

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.028
Threshold uncertainty score0.260

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.236
Teacher spread0.229 · 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 teacher head, 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
Published2024
Admission routes2
Has abstractyes

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