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A novel case of Silver Russell Syndrome (SRS) and male breast cancer

2007· article· en· W2597256494 on OpenAlexaff
Caroline Hamm, L. Jagiello

Bibliographic record

VenueJournal of Clinical Oncology · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Syndromes and Imprinting
Canadian institutionsWindsor Regional Hospital
Fundersnot available
KeywordsMedicineBreast cancerCancerBiopsyOncologyPathologyInternal medicine

Abstract

fetched live from OpenAlex

21178 Introduction: Silver Russell Syndome (SRS) is a heterogeneous disorder of asymmetric growth retardation and typical dysmorphic features often associated with maternal disomy 7 and chromosome 17q23–24. The BRCA1 gene is found on 17q21. The relationship between SRS and breast cancer has not been described to date. Case Presentation: We report a case of a 37 year old male diagnosed with metastatic breast cancer involving the liver and bone. Patient presented with a left proximal hip fracture related to metastatic bone disease. Biopsy of the right breast lesion revealed a moderately differentiated adenocarcinoma consistent with breast primary. Abdominal ultrasound and full body bone scan revealed extensive liver and bone metastases. There was no significant family history of cancer, specifically breast nor ovarian cancer. Discussion: The BRCA2 gene is known to be responsible for DNA repair. The SRS cases associated with chromosome 17q24–25 abnormalities are known to be associated with growth hormone deletions. Further investigations into this relationship are warranted. No significant financial relationships to disclose.

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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.047
GPT teacher head0.402
Teacher spread0.355 · 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
Published2007
Admission routes1
Has abstractyes

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