Efficacy and Safety Analysis of Nelipepimut-S Vaccine to Prevent Breast Cancer Recurrence: A Randomized, Multicenter, Phase III Clinical Trial
Bibliographic record
Abstract
Abstract Purpose: In phase I/II studies, nelipepimut-S (NP-S) plus GM-CSF vaccine was well tolerated and effectively raised HER2-specific immunity in patients with breast cancer. Results from a prespecified interim analysis of a phase III trial assessing NP-S + GM-CSF are reported. Patients and Methods: This multicenter, randomized, double-blind phase III study enrolled females ≥18 years with T1–T3, HER2 low–expressing (IHC 1+/2+), node-positive breast cancer in the adjuvant setting. Patients received 1,000 μg NP-S + 250 μg GM-CSF or placebo + GM-CSF monthly for 6 months, then every 6 months through 36 months. The primary objective was disease-free survival (DFS). Protocol-specified imaging occurred annually. New abnormalities were categorized as recurrence events; biopsy confirmation was not mandated. The interim analysis was conducted as specified in the protocol after 73 DFS events. Results: A total of 758 patients (mean age 51.8 years) were randomized. Adverse events were similar between groups; most common were injection-associated: erythema (84.3%), induration (55.8%), and pruritus (54.9%). There was no significant between-arms difference in DFS events at interim analysis at median follow-up (16.8 months). In the NP-S arm, imaging detected 54.1% of recurrence events in asymptomatic patients versus 29.2% in the placebo arm (P = 0.069). Conclusions: NP-S was well tolerated. There was no significant difference in DFS events between NP-S and placebo. Use of mandated annual scans and image-detected recurrence events hastened the interim analysis contributing to early trial termination.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.016 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.007 | 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".