Expression of Topoisomerase II-α in Triple Negative Breast Cancer
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Triple negative breast cancer (TNBC)-defined by estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 negativity is a group with poor prognosis, due to aggressive tumor biology and lack of targeted therapy. Topoisomerase II-α (topoIIα) protein is one of the intracellular targets for anthracycline-based therapy, and high levels of topoIIα expression are recently observed in TNBC. The study included 83 patients who underwent surgery between January 2003 and December 2009. Paraffin blocks were stained immunohistochemically with CK5/6, CK14, EGFR, Ki-67, and topoIIα. Basal-like (BL) immunophenotype was defined by positivity for ≥1 basal cell markers: CK5/6, CK14, or EGFR. Of 83 TNBC, 66.26% were of the BL immunophenotype, which was significantly associated with higher mitotic count (P=0.023), BL morphology (P=0.005), higher histologic grade (P=0.022), and higher proliferation rate assessed by Ki-67 (P<0.001). TopoIIα expression was significantly correlated with invasive ductal carcinoma NOS (P=0.010), higher mitotic count (P=0.001), higher histologic grade (P=0.007), and higher Ki-67 (P<0.001). In conclusion, due to lack of expression of ER, PR, and human epidermal growth factor receptor 2 receptor in TNBC, specific targeted therapies are not effective, and chemotherapy is currently the only modality of available systemic therapy. Due to expression of topoIIα, anthracyclines may be effective in treatment of TNBC.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it