Androgen receptor expression in triple negative breast cancer: an Algerian population study
Bibliographic record
Abstract
Triple-negative breast cancer (TNBC) is a molecular subtype of breast cancer characterized by the absence of estrogen and progesterone receptors and the lack of HER2 overexpression. TNBC is highly heterogeneous, complicating the identification of new therapeutic targets. However, the expression of the androgen receptor (AR) in the luminal androgen receptor (LAR TNBC) subgroup has opened the door to alternative therapeutic approaches. This study aimed to assess AR expression and correlate it with clinicopathological factors in 160 early-stage TNBC patients treated from February 2015 to February 2017. Our findings reveal that AR expression is observed in 16.87% (27/160) of ≥1% AR positivity cases. Moreover, a significant 12.5% (20/160) was found in ≥10% AR positive cases. Positive AR expression was inversely correlated with a high Ki-67 proliferation index and with the basal immunophenotype. The five-year survival rate for our cohort was 83.12%, and no significant association between AR expression and overall survival was observed (p = 0.77). The study highlights the potential role of AR expression in TNBC and its implications for therapeutic strategies, although no significant association with overall survival was found.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".