A meta-analysis of phase III trials evaluating the predictive value of HER2 and topoisomerase II alpha in early breast cancer patients treated with CMF or anthracycline-based adjuvant therapy.
Bibliographic record
Abstract
Abstract Abstract #705 Background: Retrospective studies have suggested that HER2 and topoisomerase II α (TOP2A) might predict sensitivity to anthracyclines (A)
 Methods: Four phase III trials comparing A with CMF in early breast cancer (EBC) patients (pts), and with available primary tumor samples, were identified. HER2 and TOP2A genes were evaluated locally by FISH (amplification if ratio ≥ 2). Data were centralized at the statistical office (IDDI, Belgium). On-site visits were performed to check data quality and laboratory procedures. HER2 and TOP2A local scores were validated by submitting randomly selected samples to a central lab (CL) (University of Tampere – Finland), for a 3 color FISH test (HER2, TOP2A, centromere 17, Abbott Labs, IL, USA). Estrogen (ER), progesterone (PgR) receptors, and grade (G) were evaluated locally (no score validation at the CL).
 Results: We present the results of the planned interim analysis on 1944 pts. Final results (± 3500 pts) will be presented when tumor sample collection for the UK trial is complete. HER2 local scores were validated at the CL in 137 cases (discordance: 8/137, 5.8%). TOP2A local scores were validated in 123 cases (discordance 38/123, 30.8%). Half of the TOP2A discordant cases were locally deleted-centrally normal or vice versa.
 
 A planned exploratory analysis evaluated the TOP2A predictivity in 4 biologically homogeneous groups: highly or moderately hormone sensitive, HER2+ and ER/PgR negative, triple negative (TN). This analysis did not enhance the TOP2A predictivity in any of the 4 groups. In the TN group (294 pts), the DFS HR was 0.77 (0.54-1.09), suggesting that benefit from A might not be confined to HER2+ pts.
 Conclusions: The interim analysis shows that HER2 and TOP2A have a clinically modest and a statistically borderline predictive value. In triple negative disease A may be superior to CMF.
 Acknowledgments: Abbott Laboratories, Belgian Federation Against Cancer, Cancer Research UK, Les Amis de l'Institut Bordet, Pfizer, Scottish BC trials group. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 705.
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| 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 teacher head, 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".