Phase 1 study of ZW25, a bispecific anti-HER2 antibody, in patients with advanced HER2-expressing cancers.
Bibliographic record
Abstract
TPS215 Background: HER2 is expressed above normal levels by many cancers, including a range of gastrointestinal tumors. While HER2 can contribute to tumor growth and survival even when expressed at low levels, antibody-based HER2 targeted therapy has shown efficacy only in breast (trastuzumab [T], pertuzumab [P]) or gastric cancers (T) with the highest levels of HER2 expression or gene amplification. Therefore, there remains significant medical need, particularly for cancers with lower HER2 levels or more heterogeneous patterns of expression. ZW25 is a novel humanized bispecific antibody directed against two distinct epitopes of HER2. The unique structure of ZW25 leads to greater cell decoration and receptor internalization than T, even in the setting of low levels of HER2 expression. In preclinical models, ZW25 has demonstrated greater activity than T in both HER2 high and HER2 low-expressing cancers, including gastric cancer. This first-in-human study will evaluate the safety and preliminary anti-tumor activity of ZW25 in patients with advanced HER2-expressing cancers. Methods: This is a 2-part Phase 1 study utilizing 3+3 dose escalation (Part 1) and expansion cohorts (Part 2) to evaluate the MTD, safety, PK, and anti-tumor activity of ZW25 IV once per week in patients with locally advanced, unresectable and/or metastatic HER2-expressing cancers. Eligibility requirements include any HER2 1+, 2+, or 3+ cancer (Part1) or 2+/FISH negative breast or gastric cancer (Part 2) that has progressed after all approved therapies; ECOG PS ≤ 1; normal left ventricular function; and measurable disease per RECIST 1.1 (Part 2). Assessments include collection of adverse events and laboratory abnormalities, tumor response per RECIST 1.1 and exploratory response biomarkers as well as PET. Recruitment is ongoing at 3 centers in the United States. Clinical trial information: NCT02892123.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".