ArticleDrug metabolism and disposition: the biological fate of chemicals2022
Simulating the Selection of Resistant Cells with Bystander Killing and Antibody Coadministration in Heterogeneous Human Epidermal Growth Factor Receptor 2-Positive Tumors.
Article in Drug metabolism and disposition: the biological fate of chemicals, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 17 citations in OpenAlex.
- Review
- HER2 Alterations in Squamous Cell Lung Cancer: Biology, Therapeutic Landscape, and Emerging Precision Approaches.Cancers · 2026Review
- Agent-based modeling demonstrates how target-independent processes supplement killing by antibody-drug conjugates in cancer therapy.PLoS computational biology · 2026Article
- In Vivo Auto-tuning of Antibody-Drug Conjugate Delivery to Maximize Efficacy Using High-Avidity, Low-Affinity Antibodies.Molecular cancer therapeutics · 2026Article
- NQO1-Responsive Prodrug for in Cellulo Release of Cytochalasin B as Cancer Cell-Targeted Migrastatic.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Emerging Targeted and Multimodal Therapeutic Strategies in Breast Cancer: A Comprehensive Review.Breast cancer (Dove Medical Press) · 2026Review
- Mechanisms of resistance to antibody-drug conjugates in bladder cancer.Frontiers in pharmacology · 2026Review
- Advancements in antibody-drug conjugates as cancer therapeutics.Journal of the National Cancer Center · 2025Review
- Mathematical Modeling Unveils Optimization Strategies for Targeted Radionuclide Therapy of Blood Cancers.Cancer research communications · 2024Article
- Optimizing Solid Tumor Treatment with Antibody-drug Conjugates Using Agent-Based Modeling: Considering the Role of a Carrier Dose and Payload Class.Pharmaceutical research · 2024Article
- Integrating inverse reinforcement learning into data-driven mechanistic computational models: a novel paradigm to decode cancer cell heterogeneity.Frontiers in systems biology · 2024Article
- A framework for multi-scale intervention modeling: virtual cohorts, virtual clinical trials, and model-to-model comparisons.Frontiers in systems biology · 2023Article
- Pharmacokinetics and Pharmacodynamics of TAK-164 Antibody Drug Conjugate Coadministered with Unconjugated Antibody.The AAPS journal · 2022Article
- Development of and insights from systems pharmacology models of antibody-drug conjugates.CPT: pharmacometrics & systems pharmacology · 2022Review
- Design of high avidity and low affinity antibodies for in situ control of antibody drug conjugate targeting.Scientific reports · 2022Article
- Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Intratumoral heterogeneity is a leading cause of treatment failure resulting in tumor recurrence. For the antibody-drug conjugate (ADC) ado-trastuzumab emtansine (T-DM1), two major types of resistance include changes in human epidermal growth factor receptor 2 (HER2) expression and reduced payload sensitivity, which is often exacerbated by heterogenous HER2 expression and ADC distribution during treatment. ADCs with bystander payloads, such as trastuzumab-monomethyl auristatin E (T-MMAE), can reach and kill adjacent cells with lower receptor expression that cannot be targeted directly with the ADC. Additionally, coadministration of T-DM1 with its unconjugated antibody, trastuzumab, can improve distribution and minimize heterogeneous delivery. However, the effectiveness of trastuzumab coadministration and ADC bystander killing in heterogenous tumors in reducing the selection of resistant cells is not well understood. Here, we use an agent-based model to predict outcomes with these different regimens. The simulations demonstrate that both T-DM1 and T-MMAE benefit from trastuzumab coadministration for tumors with high average receptor expression (up to 70% and 40% decrease in average tumor volume, respectively), with greater benefit for nonbystander payloads. However, the benefit decreases as receptor expression is reduced, reversing at low concentrations (up to 360% and 430% increase in average tumor volume for T-DM1 and T-MMAE, respectively) for this mechanism that impacts both ADC distribution and efficacy. For tumors with intrinsic payload resistance, coadministration uniformly exhibits better efficacy than ADC monotherapy (50%-70% and 19%-36% decrease in average tumor volume for T-DM1 and T-MMAE, respectively). Finally, we demonstrate that several regimens select for resistant cells at clinical tolerable doses, which highlights the need to pursue other mechanisms of action for durable treatment responses. SIGNIFICANCE STATEMENT: Experimental evidence demonstrates heterogeneity in the distribution of both the antibody-drug conjugate and the target receptor in the tumor microenvironment, which can promote the selection of resistant cells and lead to recurrence. This study quantifies the impact of increasing the antibody dose and utilizing bystander payloads in heterogeneous tumors. Alternative cell-killing mechanisms are needed to avoid enriching resistant cell populations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.