ArticleNPJ precision oncology2026
Quantitative HER2 tissue and plasma profiling predicts the activity of trastuzumab deruxtecan for breast cancer.
Article in NPJ precision oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- A modular framework for antibody-drug conjugate biomarkers.Nature reviews. Clinical oncology · 2026Review
- Right-sizing treatment for HER2-positive breast cancer: evolving algorithms across the disease continuum.Nature reviews. Clinical oncology · 2026Review
- Targetable S100-RAGE signaling mediates intrinsic trastuzumab deruxtecan resistance in metastatic breast cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026Article
- Agent-based modeling demonstrates how target-independent processes supplement killing by antibody-drug conjugates in cancer therapy.PLoS computational biology · 2026Article
Corrections and comments
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Authors and funding
48 authors.
Funding
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.
Identifiers
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Registered trials
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