Trastuzumab Deruxtecan Resistance via Loss of HER2 Expression and Binding
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Abstract
Trastuzumab Deruxtecan (T-DXd) is clinically beneficial in HER2-positive and HER2-low metastatic breast cancer. However, therapeutic resistance emerges over time in most patients, with poorly defined resistance mechanisms. Through a molecular characterization of paired patient specimens before and after T-DXd treatment, we found that 49% cases had major decreases in HER2 expression at progression, and among them, 52% exhibited complete HER2 loss. Using isogenic model systems, we demonstrated that decreases in HER2 expression corresponded to reductions in T-DXd internalization and major increases in drug IC50 value for tumor growth inhibition. We further identified and validated ERBB2 mutations in the trastuzumab binding interface (V597M and P593R) that promoted T-DXd resistance. As a strategy to overcome impaired T-DXd binding and internalization, we tested low-dose combinations of T-DXd with TROP2-directed antibody–drug conjugates (ADC) and found that these could more uniformly deliver DXd payloads and thereby overcome resistance mediated by HER2 loss. Significance: The mechanisms underlying clinical T-DXd resistance have not been established. We now report on two mechanisms of resistance that converge on loss of target binding and propose combinations of distinct ADCs with shared payloads as a strategy to overcome resistance by enhancing intratumor delivery. See related commentary by O’Meara and Tarantino, p.195
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Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
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Mirdita, M., Schütze, K., Moriwaki, Y., Heo, L., Ovchinnikov, S., & Steinegger, M. (2021) · doi:10.1101/2021.08.15.456425 · Cited by 9,391 · see citing works
The Journey of Antibody–Drug Conjugates: Lessons Learned from 40 Years of Development
Colombo, R., Tarantino, P., Rich, J. R., LoRusso, P. M., & de Vries, E. G. E. (2024) · Cancer Discovery · doi:10.1158/2159-8290.cd-24-0708 · Cited by 254 · see citing works
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- Authors
- Chen, W., Gupta, A., Mai, N., Nag, S., Lau, J. S., Singh, S., Chodera, J. D., Liu, B., de Stanchina, E., Pareja, F., Hashmi, A. A., Lieberman, M. M., Modi, S., Bromberg, J., Razavi, P., Drago, J. Z., & Chandarlapaty, S.
- Affiliations
- Memorial Sloan Kettering Cancer Center (US)
- 6Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, New York.
- Corresponding author
- Drago, Joshua Z.
- Chandarlapaty, Sarat
- ORCID
- Venue
- Cancer Discovery
- Published
- 2025-11-10
- Volume
- 16
- Issue
- 2
- Pages
- 235-249
- ISSN
- 2159-8274 (ISSN-L)
- 2159-8290
- OpenAlex
- W4416088352
- Cited by
- 50
- References
- 3
- Citations by year
- 2026: 49 · 2025: 1
- FWCI
- 20.71
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cancer Discovery (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- Sussman Family Fund (Sussman Family Fund)
- Breast Cancer Research Foundation (BCRF-24-185)
- Center for Cancer Research (P30 CA008748)
- National Institute of Mental Health (P50 CA247749-01)
- National Institutes of Health (1R01CA249666-01A, P30 CA008748 S5)
- U.S. Food and Drug Administration (1U01FD007909-01A1)
- Topics
- Health Sciences › Medicine › Oncology › HER2/EGFR in Cancer Research
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Keywords
- trastuzumab deruxtecan, HER2-low breast cancer, HER2-positive breast cancer, drug resistance, ERBB2 mutations, antibody-drug conjugates, TROP2, antibody internalization, combination therapy
- MeSH terms
- Trastuzumab, Antineoplastic Agents, Immunological, Animals, Breast Neoplasms, Camptothecin, Female, Humans, Erb-b2 Receptor Tyrosine Kinases, Immunoconjugates, Drug Resistance, Neoplasm, Cell Line, Tumor, Mice
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