MétaCan
Menu
Back to cohort
Record W2157138888 · doi:10.1016/j.breast.2009.06.003

Survivin and COX-2 expression in male breast carcinoma

2009· article· en· W2157138888 on OpenAlexafffundabout
Tallal Younis, Kelly Dakin Haché, Daniel Rayson, Ron Dewar, Samantha Gray, Penny J. Barnes

Bibliographic record

VenueThe Breast · 2009
Typearticle
Languageen
FieldMedicine
TopicCancer and Skin Lesions
Canadian institutionsCancer Care Nova ScotiaQueen Elizabeth II Health Sciences Centre
FundersDalhousie University
KeywordsSurvivinImmunohistochemistryTissue microarrayMedicineAromataseProportional hazards modelOncologyBreast cancerBreast carcinomaCancer researchCancerPathologyInternal medicine

Abstract

fetched live from OpenAlex

Male breast carcinoma (Male BC) is a distinct biological subtype of breast cancer. We previously reported an association between 5-year overall survival and strong intratumoral aromatase (ITA) expression in Male BC. In this study, we investigate survivin and COX-2 expression and their relationship to ITA. Clinical data were abstracted for all Male BC patients diagnosed between 1985 and 2005 in Nova Scotia, Canada. Archival tissues were retrieved for tissue microarray (TMA) and immunohistochemistry (IHC). Of 54 Male BCs identified, 39 cases had tissue available for IHC. Survivin expression was noted in 27 cases (69%); 12 nuclear and 26 cytoplasmic while strong COX-2 expression was observed in 14 cases (36%). Cytoplasmic survivin and COX-2 expressions were positively associated with ITA expression. However, survivin and COX-2 expression were not predictive of survival. Additional studies are needed to further elucidate the correlation between cytoplasmic survivin, COX-2 and ITA expression in Male BC considering their potential therapeutic implications.

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 score0.169
Threshold uncertainty score0.250

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 head0.011
GPT teacher head0.253
Teacher spread0.242 · 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

Citations13
Published2009
Admission routes3
Has abstractyes

Explore more

Same venueThe BreastSame topicCancer and Skin LesionsFrench-language works237,207