Abstract 31: Preclinical development of a novel biparatopic HER2 antibody with activity in low to high HER2 expressing cancers
Bibliographic record
Abstract
Abstract HER2-directed therapies have improved clinical outcomes for many patients with HER2 overexpressing breast and gastric cancer. Despite these successes, there remains a need to develop effective HER2-targeted therapies for these and other HER2-expressing tumors, particularly in the setting of recurrent or metastatic disease. One approach is to develop a single multifunctional antibody that has improved capacity and efficiency for binding HER2 compared with available HER2 inhibitors, can elicit ADCC, block ligand induced heterodimerization of HER2 with other HER family receptors, and down-regulate HER2 protein on the cell surface. ZW25 is a novel humanized, IgG1-like bispecific antibody directed against two distinct epitopes on the HER2 receptor. ZW25 has low nM binding affinity (0.9-16 nM) to recombinant HER2 and to cultured cancer cells with a range of HER2 expression, and shows higher maximal binding (1.4-1.9x) than monospecific HER2 antibodies on all tumor cell lines tested. The unique structure of ZW25 favors crosslinking of multiple HER2 receptors which is thought to promote clustering, and improves HER2 internalization compared to monospecific HER2 antibodies. In vitro studies demonstrated that ZW25 alone caused significant inhibition in growth of human cancer cell lines with a wide range of HER2 expression (5-54% inhibition depending on the cell line), and inhibited ligand-mediated tumor cell proliferation. ZW25 elicited concentration-dependent ADCC at nM potency (0.05-64 nM) with maximal lysis up to 52% on TNBC cell lines expressing HER2 at a 0/1+ level. ZW25 also exhibited synergy and additivity with multiple chemotherapeutic agents including platins, taxanes, microtubule inhibitors, and DNA synthesis inhibitors in various HER2 expressing tumor cell lines. In vivo studies demonstrated antitumor activity and/or improved survival against xenografts from a range of tumor types. In a HER2 3+ gastric cancer PDX model ZW25 induced significant tumor regressions, exhibiting 307% tumor growth inhibition relative to hIgG control and a 70% complete regression rate (trastuzumab exhibited 111% tumor growth control with no complete regressions). In a HER2 1+ breast cancer PDX model ZW25 significantly improved median survival (58 vs 28 days) and exhibited 141% tumor growth inhibition relative to hIgG control (trastuzumab exhibited 63% tumor growth inhibition, with median survival 39 days). In a low HER2-expressing NSCLC CDX model ZW25 improved median survival compared to hIgG control or cisplatin (> 66 vs 25 or 26 d respectively) and exhibited 159% tumor growth inhibition relative to hIgG control. In a GLP repeat dose toxicology study, ZW25 was well tolerated with no adverse effects at doses up to 150 mg/kg weekly IV for up to 8 weeks. Based on these findings, a first in human clinical trial of ZW25 has been initiated in patients with recurrent and/or metastatic HER2-expressing cancers. Citation Format: Nina Weisser, Grant Wickman, Rupert Davies, Gerry Rowse. Preclinical development of a novel biparatopic HER2 antibody with activity in low to high HER2 expressing cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 31. doi:10.1158/1538-7445.AM2017-31
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".