Quantitative HER2 tissue and plasma profiling predicts the activity of trastuzumab deruxtecan for breast cancer

Trastuzumab deruxtecan (T-DXd) is commonly used for treating metastatic breast cancer (MBC); however, traditional HER2 immunohistochemistry has largely failed to predict T-DXd activity. We reviewed survival outcomes and tested the reliability of multiple HER2 quantitative assays in predicting T-DXd's performance among 191 patients with MBC. We demonstrate that T-DXd's activity varies depending on the temporal evolution of HER2 immunohistochemical expression, with the longest activity observed among patients with HER2-positive disease or maintaining HER2-low disease across primary and metastatic settings. Quantitative HER2 assessment on pre-T-DXd samples showed that time-to-next treatment progressively increased by High Sensitivity-HER2 quartiles, Reverse Phase Protein Array HER2 quartiles, HER2DX ERBB2 mRNA scores and plasma-based DNADX HER2 signature tertiles (all with log-rank p < 0.05). Conversely, HER2 immunohistochemical subtypes showed limited predictive value for clinical outcomes. Additionally, elevated TOPO1 expression was associated with worse outcomes with T-DXd in HER2-negative breast cancer, suggesting potential relevance for payload-related markers in predicting T-DXd performance.

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Publication Details

Journal
npj Precision Oncology
Published
2026-03-13
DOI
https://doi.org/10.1038/s41698-026-01365-6
Primary Topic
HER2/EGFR in Cancer Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantitative HER2 tissue and plasma profiling predicts the activity of trastuzumab deruxtecan for breast cancer

Amanda E.D. Van Swearingen, Laia Paré Brunet, Sarah Sammons, Carey K. Anders et al.
npj Precision Oncology
HER2/EGFR in Cancer Research
article

Quantitative HER2 tissue and plasma profiling predicts the activity of trastuzumab deruxtecan for breast cancer

Amanda E.D. Van Swearingen, Laia Paré Brunet, Sarah Sammons, Carey K. Anders, Melissa E. Hughes, Kathrin Dvir, Janet Files, David L. Rimm, Nay Chan, Claudius Mueller, Rinath M. Jeselsohn, Stefania Morganti, Alyssa Pereslete, Jennifer Spindel, Laura Alder, Kalie Smith, Hersh Gupta, Diana García-Cortés, Paolo Tarantino, Laura Noteware, Kerry Sendrick, Ross J. Kusmick, Alba Martini, Simone Buck, Andrew D. Cherniack, Se-Eun Kim, Patricia LoRusso, Francisco Pardo, Nancy U. Lin, Sara M. Tolaney, Deborah Dillon, Emanuel F. Petricoin, Fara Brasó-Maristany, Brian Corgiat, Justin Davis, Rosario Vega- León, Heather Moore, Olivia D’Amico, Jorge Gomez Tejeda Zanudo, Giuseppe Curigliano, Yvonne Y. Li, Christine McLaughlin, Tianyu Li, Aleix Prat, Nabihah Tayob, Charmaine Cook, Ana C. Garrido-Castro, Maryam Lustberg
article en

Abstract

Trastuzumab deruxtecan (T-DXd) is commonly used for treating metastatic breast cancer (MBC); however, traditional HER2 immunohistochemistry has largely failed to predict T-DXd activity. We reviewed survival outcomes and tested the reliability of multiple HER2 quantitative assays in predicting T-DXd's performance among 191 patients with MBC. We demonstrate that T-DXd's activity varies depending on the temporal evolution of HER2 immunohistochemical expression, with the longest activity observed among patients with HER2-positive disease or maintaining HER2-low disease across primary and metastatic settings. Quantitative HER2 assessment on pre-T-DXd samples showed that time-to-next treatment progressively increased by High Sensitivity-HER2 quartiles, Reverse Phase Protein Array HER2 quartiles, HER2DX ERBB2 mRNA scores and plasma-based DNADX HER2 signature tertiles (all with log-rank p < 0.05). Conversely, HER2 immunohistochemical subtypes showed limited predictive value for clinical outcomes. Additionally, elevated TOPO1 expression was associated with worse outcomes with T-DXd in HER2-negative breast cancer, suggesting potential relevance for payload-related markers in predicting T-DXd performance.

npj Precision Oncology
Broad Institute (US), Harvard University (US), George Mason University (US), University of Milan (IT), Yale University (US), Abterra Biosciences (United States) (US), Ospedale San Paolo (IT), Dana-Farber Cancer Institute (US), Cancer Clinic (US), Oryzon Genomics (Spain) (ES), Consorci Institut D'Investigacions Biomediques August Pi I Sunyer (ES), Vall d'Hebron Institute of Oncology (ES), Duke Cancer Institute, European Institute of Oncology (IT)
Breast Cancer Research Foundation, METAvivor, Terri Brodeur Breast Cancer Foundation, European Commission, Fundación Científica Asociación Española Contra el Cáncer, Instituto de Salud Carlos III
Good health and well-being
Openalex Percentile: Top 23%
HER2/EGFR in Cancer Research
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