A phase II trial of a neoadjuvant platinum-containing regimen for locally advanced breast cancer: Pathologic response, long-term follow-up, and correlation with biomarkers
Bibliographic record
Abstract
e11510 Background: To determine the response, tolerability, and long-term outcome of a neoadjuvant platinum-containing regimen for locally advanced breast cancer (LABC). To search for correlation between pathologic complete response (pCR) and predefined biomarkers in this cohort. Patients and Methods: Patients with LABC received eight cycles of either sequence A or B. Sequence A was doxorubicin 60 mg/m2 and paclitaxel 175 mg/m2 (AT) q3w X 4 followed by cisplatin (C) 60 mg/m2 and paclitaxel 90 mg/m2 (CT) q2w X 4. Sequence B was CT x 4 followed by AT x 4. In addition to estrogen receptor and HER2, immunohistochemistry (IHC) for MDR-1, MRP-1, topoisomerase IIα(topoIIα) and p53 was performed. Results: 88 patients were evaluable for response and toxicity. Median follow-up was 97 months. The overall pCR rate was 21.5%. For subgroups ER+/HER2-, HER2 +, and double negative (ER-/ HER2-) disease the pCR was 5.9%,23.3% and 35% respectively, p=0.006. Five year(y) overall survival for the entire cohort was 71.1%. Five y overall survival was 88.1% (CI 77.1%, 99.1%) for the ER positive HER2 negative group compared to 68.5% (CI 51.3%, 85.7%) and 49.5 (CI 27.4%, 71.6%) in the HER2 positive and “double negative” group respectively (p=0.0077). Over-expression of topo IIα was correlated with pCR (p<0.001). There were no toxic deaths. Conclusions: A platinum-containing neoadjuvant regimen was well tolerated and achieved a pCR rate which compares favorably to other recent studies of multi-agent chemotherapy. Further studies tailored for specific breast cancer subtypes are required. No significant financial relationships to disclose.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".