Phase 2 Study of Zilovertamab Vedotin in Participants with Metastatic Solid Tumors
Bibliographic record
Abstract
PURPOSE: Zilovertamab vedotin, an antibody-drug conjugate targeting receptor tyrosine kinase-like orphan receptor 1 (ROR1), had manageable safety and promising antitumor activity in participants with relapsed or refractory non-Hodgkin lymphomas. We evaluated zilovertamab vedotin in participants with previously treated metastatic solid tumors. PATIENTS AND METHODS: This phase 2, open-label, nonrandomized study (NCT04504916) enrolled participants with metastatic triple-negative breast cancer, hormone receptor-positive breast cancer, nonsquamous non-small-cell lung cancer, platinum-resistant ovarian cancer, or pancreatic cancer. Participants received zilovertamab vedotin ≤2.5 mg/kg once every 3 weeks (Q1/3W) or <1.75 mg/kg twice every 3 weeks (Q2/3W). The primary endpoint was objective response rate per RECIST version 1.1 by blinded independent central review. ROR1 protein expression was correlated with clinical outcomes. RESULTS: A total of 102 participants were enrolled (Q1/3W, n = 70; Q2/3W, n = 32). The objective response rate was 1% [95% confidence interval (CI), 0%-8%] with Q1/3W dosing (one partial response, hormone receptor-positive/HER2-negative breast cancer cohort) and 0% with Q2/3W dosing. The median progression-free survival (95% CI) was 2.3 (2.0-4.1) and 1.9 (1.7-2.1) months, respectively; the median overall survival (95% CI) was 8.3 (5.2-10.3) and 5.5 (4.4-11.0) months, respectively. Across dosing regimens, treatment-related adverse events were reported in 85 participants (83%), most commonly fatigue (29%) and nausea (28%). Treatment-related peripheral neuropathy occurred in 8%. Treatment-related adverse events led to dose interruption/reduction in 32 participants (31%) and permanent treatment discontinuation in 7 (7%). Tissue for ROR1 IHC was available on 17 participants, with only 3 (all nonresponders) showing ROR1 expression. CONCLUSIONS: Zilovertamab vedotin had minimal antitumor activity, with only a single responder, and manageable safety in participants with previously treated metastatic solid tumors. SIGNIFICANCE: Zilovertamab vedotin had minimal antitumor activity and manageable safety in participants with previously treated metastatic solid tumors of various histologic subtypes. The results suggest that further development of zilovertamab vedotin in these solid tumors is not warranted.
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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 | 0.003 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".