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Record W2123128044

Psoriasin (S100A7) expression is associated with poor outcome in estrogen receptor-negative invasive breast cancer.

2003· article· en· W2123128044 on OpenAlexaff
Ethan Emberley, Yulian Niu, Catherine Njue, Erich V. Kliewer, Leigh C. Murphy, Peter H. Watson

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicS100 Proteins and Annexins
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsHazard ratioBreast cancerDuctal carcinomaEstrogen receptorOncologyInternal medicineImmunohistochemistryMedicineCancerProgesterone receptorProportional hazards modelEstrogenCohortConfidence intervalPathology
DOInot available

Abstract

fetched live from OpenAlex

PURPOSE: Psoriasin (S100A7) is highly expressed in preinvasive ductal carcinoma in situ of the breast and persistent expression occurs in some invasive carcinomas. This study explores the clinical significance of psoriasin in relation to patient survival in invasive breast cancer. EXPERIMENTAL DESIGN: We examined psoriasin expression by immunohistochemistry in a cohort of 122 estrogen receptor-negative invasive ductal carcinomas. RESULTS: Psoriasin expression was observed in 64 of 122 cases (52%) but was not correlated with other prognostic factors (including progesterone receptor, stage, size, grade, and nodal status) within this cohort. However, in univariate analysis, psoriasin expression (nuclear and cytoplasmic) was associated with a shorter time to progression (P < 0.04) and poor survival (P < 0.03). In multivariate analysis, cytoplasmic psoriasin also emerged as independent indicator of time to progression (hazard ratio, 1.86; 95% confidence interval, 1.02-3.39; P = 0.044) and survival (hazard ratio, 2.12; 95% confidence interval, 1.06-4.23; P = 0.033). CONCLUSIONS: These results suggest that psoriasin expression may be associated with a worse prognosis in estrogen receptor-negative invasive ductal carcinomas and raise the possibility that psoriasin expression may also be an indicator of risk of progression in ductal carcinoma in situ.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.594
Threshold uncertainty score0.648

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 head0.016
GPT teacher head0.233
Teacher spread0.217 · 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

Citations78
Published2003
Admission routes1
Has abstractyes

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