Neoadjuvant trastuzumab deruxtecan alone or followed by paclitaxel, trastuzumab, and pertuzumab for high-risk HER2-positive early breast cancer (DESTINY-Breast11): a randomised, open-label, multicentre, phase III trial
Bibliographic record
Abstract
BACKGROUND: Neoadjuvant standard-of-care for HER2-positive early-stage breast cancer is trastuzumab + pertuzumab with polychemotherapy; however, existing regimens have high toxicity burdens and suboptimal outcomes. DESTINY-Breast11 assessed efficacy and safety of neoadjuvant trastuzumab deruxtecan (T-DXd) alone or followed by paclitaxel + trastuzumab + pertuzumab (THP) versus dose-dense doxorubicin + cyclophosphamide (ddAC) followed by THP for high-risk (≥cT3cN0 or cT0-4cN1-3) HER2-positive disease. PATIENTS AND METHODS: This open-label, phase III trial (147 sites, 18 countries) randomised adults 1 : 1 : 1 to T-DXd (×8 cycles), T-DXd-THP (4 + 4 cycles), or ddAC-THP (4 + 4 cycles). T-DXd-alone arm enrolment closed early following the Independent Data Monitoring Committee recommendation. The primary endpoint was pathological complete response (pCR; ypT0/is ypN0; intent-to-treat population). Secondary endpoints included event-free survival (EFS; intent-to-treat population) and safety (safety analysis set). RESULTS: Between 25 October 2021 and 12 March 2025, 286 (T-DXd), 321 (T-DXd-THP), and 320 (ddAC-THP) female patients were randomised. pCR rates were 43.0% (T-DXd, n = 123), 67.3% (T-DXd-THP, n = 216), and 56.3% (ddAC-THP, n = 180). T-DXd-THP versus ddAC-THP absolute pCR rate difference was 11.2% [95% confidence interval (CI), 4.0% to 18.3%, P = 0.003], with benefit in hormone receptor (HR)-positive [61.4% (n/N = 145/236) versus 52.3% (n/N = 123/235); difference in pCR (ΔpCR) 9.1% (95% CI 0.2% to 17.9%)] and HR-negative [83.1% (n/N = 69/83) versus 67.1% (n/N = 57/85); ΔpCR 16.1% (95% CI 3.0% to 28.8%)] subgroups. Median EFS (T-DXd-THP versus ddAC-THP, maturity 4.5%) hazard ratio was 0.56 (95% CI 0.26 to 1.17). Grade ≥3 adverse events (AE; T-DXd, 22.6% (n = 64); T-DXd-THP, 37.5% (n = 120); ddAC-THP, 55.8% (n = 174)], serious AE [T-DXd, 10.2% (n = 29); T-DXd-THP, 10.6% (n = 34); ddAC-THP, 20.2% (n = 63)], and all-grade left-ventricular dysfunction [T-DXd, 0.7% (n = 2); T-DXd-THP, 1.3% (n = 4); ddAC-THP, 6.1% (n = 19)] rates were lower for T-DXd and T-DXd-THP than ddAC-THP. All-grade adjudicated drug-related interstitial lung disease/pneumonitis rates were low and similar across arms [T-DXd, 4.9% (n = 14); T-DXd-THP, 4.4% (n = 14); ddAC-THP, 5.1% (n = 16)]. Three treatment-related deaths occurred [T-DXd-THP, 0.3% (n = 1); ddAC-THP, 0.6% (n = 2)]. CONCLUSIONS: Neoadjuvant T-DXd-THP demonstrated statistically significant and clinically meaningful pCR benefit and improved safety versus ddAC-THP.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".