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Record W2618927271 · doi:10.1002/gcc.22473

Occurrence of <i>BAP1</i> germline mutations in cutaneous melanocytic tumors with loss of BAP1‐expression: A pilot study

2017· article· en· W2618927271 on OpenAlexaff
Odile Cabaret, Émilie Perron, Brigitte Bressac–de Paillerets, Nadem Soufir, Arnaud de la Fouchardière

Bibliographic record

VenueGenes Chromosomes and Cancer · 2017
Typearticle
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsUniversité LavalCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsBAP1GermlineMedicineGermline mutationMelanomaDermatologyClinical significanceCancerFamily historyMutationPathologyCancer researchInternal medicineBiologyGeneGenetics

Abstract

fetched live from OpenAlex

Melanocytic BAP1-associated intradermal tumors (MBAITs) can either be sporadic or associated with a cancer-predisposition syndrome. In this study we explored the clinical status of 136 patients in which at least one MBAIT was found. 49/136 (36%) of them gave their signed consent for an oncogenetic BAP1 blood test. 28/136 patients (20%) diagnosed with an MBAIT had other MBAITs and/or a personal or familial history of BAP1-related cancers that could clinically designate them as potential carriers of a BAP1 germline mutation. 17 of these 28 patients underwent oncogenetic testing. A deleterious mutation of BAP1 was confirmed in 12/17 cases. 4/17 cases were wild-type; all had a single MBAIT and a history of skin melanoma. A variant of unknown significance was found in one case with multiple MBAITs. Among the 12 mutated cases, multiple MBAITs were present in 10/12 cases and were the only clinical sign in 4/12 cases. The remaining 32/49 blood-tested cases with an isolated MBAIT were wild type for BAP1 in 25/32 cases or showed a variant of unknown significance in 7/32 cases. We recommend, following the diagnosis of a MBAIT, performing a BAP1 immunohistochemistry in all other cutaneous melanocytic tumors removed previously or simultaneously and all skin melanomas. This screening could help clinicians prioritize which patients would most benefit from oncogenetic testing.

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 score0.002
Threshold uncertainty score0.308

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 head0.021
GPT teacher head0.293
Teacher spread0.272 · 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

Citations18
Published2017
Admission routes1
Has abstractyes

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