Peri-operative atezolizumab in early-stage triple-negative breast cancer: final results and ctDNA analyses from the randomized phase 3 IMpassion031 trial
Bibliographic record
Abstract
Previously published results demonstrated that the randomized phase 3 IMpassion031 trial met its primary objective: adding atezolizumab to neoadjuvant chemotherapy significantly improved pathologic complete response (pCR) rate in patients with stage II/III triple-negative breast cancer (TNBC). Here we report the prespecified final analysis of the secondary endpoints with 3 years' follow-up, together with exploratory analyses of circulating tumor (ct)DNA. Patients with previously untreated stage II/III TNBC enrolled in 75 academic and community sites in 13 countries were randomized 1:1 to receive neoadjuvant chemotherapy with either peri-operative atezolizumab (n = 165) or preoperative placebo (n = 168). Descriptive secondary endpoints included event-free, disease-free and overall survival. Long-term outcomes favored the atezolizumab group (event-free survival hazard ratio (HR), 0.76; 95% confidence interval (CI), 0.47-1.21; disease-free survival HR, 0.76; 95% CI, 0.44-1.30; overall survival HR, 0.56; 95% CI, 0.30-1.04). Among patients without pCR, 14 of 70 (20%) atezolizumab-treated and 33 of 99 (33%) placebo-treated patients received additional adjuvant therapy, frequently capecitabine. In exploratory biomarker analyses, patients with baseline ctDNA-negative status (6%) had excellent long-term outcomes. Most patients (87%) had cleared ctDNA at surgery. ctDNA-positive status at surgery identified a subset of non-pCR patients with poorest prognosis. Long-term safety was consistent with primary results. These data show that adding atezolizumab to chemotherapy for stage II/III TNBC is associated with favorable long-term outcomes, and ctDNA dynamics provide prognostic value beyond pCR. ClinicalTrials.gov identifier: NCT03197935 .
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".