Abstract PO1-04-07: Disitamab vedotin, a clinical stage HER2-directed antibody-drug conjugate, shows potent antitumor activity as a monotherapy and in combination with tucatinib in preclinical breast cancer models
Bibliographic record
Abstract
Abstract Disitamab vedotin (DV, RC48-ADC) is an antibody-drug conjugate (ADC) that targets cancers expressing HER2. DV consists of an anti-HER2 monoclonal antibody, disitamab, conjugated with the microtubule-disrupting agent monomethyl auristatin E (MMAE) via a cleavable vedotin linker. DV has multimodal antitumor mechanisms of action that include direct cytotoxicity of HER2-expressing cancer cells and bystander effect-based cytotoxicity of neighboring cells, both of which are mediated by the intracellular release of MMAE. Released MMAE can also induce immunogenic cell death, which promotes immune cell recruitment to the tumor. In addition, DV stimulates Fc-gamma receptor mediated antibody-dependent cellular cytotoxicity, which can lead to target cell death. DV also inhibits HER2-activated downstream signaling pathways, further blocking cell growth, survival, and proliferation. Previously, we showed the cytotoxic activity of DV against a panel of breast cancer cell lines with varying levels of HER2 expression, including the HER2-low range. Here, we sought to further characterize the preclinical antitumor activity of DV in patient-derived 3D models and patient-derived xenographs (PDX). In cultured breast cancer cells, DV was more potent and internalized to a greater magnitude than the HER2-directed ADCs trastuzumab emtansine (T-DM1) and trastuzumab deruxtecan (T-DXd). In patient-derived 3D models, DV had superior activity compared to T-DXd. We further explored whether dual HER2 targeting with DV in combination with the HER2-selective oral TKI tucatinib improved the antitumor outcomes. In PDX models with varying HER2 IHC levels and models refractory to T-DXd, DV as a monotherapy and in combination with tucatinib showed significant tumor growth inhibition. This result is consistent with previous in vitro results that showed increased cytotoxicity of the combination of DV and tucatinib in cell lines with a wide range of HER2 expression, which may be mechanistically attributed to elevated HER2 cell surface levels upon treatment with tucatinib. Overall, these findings provide scientific rationale to explore DV in HER2-positive and HER2-low breast cancer patients as a monotherapy or in combination with tucatinib. Citation Format: Kelsi Willis, Renee Hein, Katie Snead, Robert Thurman, Anita Kulukian. Disitamab vedotin, a clinical stage HER2-directed antibody-drug conjugate, shows potent antitumor activity as a monotherapy and in combination with tucatinib in preclinical breast cancer models [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-04-07.
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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) | 0.000 | 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) | 0.002 | 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 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".