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Germline CDKN2A mutation implicated in predisposition to multiple myeloma

2000· article· en· W220323948 on OpenAlexaff
David Dilworth, Ling Liu, A. Keith Stewart, James R. Berenson, Norman J. Lassam, David Hogg

Bibliographic record

VenueBlood · 2000
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCDKN2ALoss of heterozygosityCancer researchMultiple myelomaGermline mutationGermlinePlasmacytomaBiologyAlleleMutationGeneticsImmunologyCancerGene

Abstract

fetched live from OpenAlex

Germline mutations of the CDKN2A (p16(INK4A)) tumor suppressor gene predispose patients to melanoma and pancreatic carcinoma. In contrast, mutations of the murine CDKN2A gene predispose BALB/c mice to pristane-induced plasmacytoma. We describe here a family in which a germline mutation of CDKN2A is present in 4 individuals who developed melanoma as well as in a fifth family member who is suffering from multiple myeloma. To determine whether the CDKN2A mutation predisposed the myeloma patient to her disease, we carried out loss of heterozygosity studies on sorted bone marrow from this individual and observed loss of the wild type CDKN2A allele in the malignant plasma cells. We suggest that germline mutations of CDKN2A may predispose individuals to a wider variety of malignancy than has been hitherto reported, but that the expression of these cancers may depend heavily on the genetic background of the patient. (Blood. 2000;95:1869-1871)

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 score0.358
Threshold uncertainty score0.729

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)0.0010.001

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 head0.016
GPT teacher head0.297
Teacher spread0.281 · 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

Citations72
Published2000
Admission routes1
Has abstractyes

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