HER2-low and ultralow expression of invasive breast carcinoma: clinicopathological features and immunohistochemical consistency analysis

The DESTINY-Breast06 trial demonstrated survival benefits of trastuzumab deruxtecan (T-DXd) in human epidermal growth factor receptor 2 (HER2)-low/ultralow metastatic breast cancer. However, the associated clinicopathological features, HER2 testing consistency, and utility of artificial intelligence (AI)-assisted interpretation remain unclear. We analyzed 1455 HER2-non-amplified cases and conducted a multicenter ring study across 45 laboratories, with 209 tissue sections evaluated by manual and AI-assisted scoring. Compared to HER2-ultralow cases, HER2-null tumors exhibited higher histological grade (p < 0.001), lower estrogen receptor (ER) expression, and elevated Ki-67 (all P < 0.05). Triple-negative breast cancer (TNBC) patients in the HER2-null subgroup were significantly younger (P = 0.040). Significant staining variability was observed between antibodies: the 4B5 clone was associated with more HER2 0 and 1+ scores, while MXR001 yielded higher rates of HER2-low results (P < 0.05). Inter-laboratory concordance was moderate (68.89%), being poorest for HER2 1+ (57.58%; Kappa = 0.566). AI-assisted interpretation improved observer agreement (Kappa: 0.703 vs. 0.610 in non-amplified cases) and reduced ambiguous immunohistochemistry (IHC) 2+/0 assignments. These findings delineate distinct clinicopathological characteristics of HER2-ultralow/null tumors, highlight HER2 IHC reproducibility challenges, and validate AI as an effective tool for standardizing scoring to optimize patient selection for T-DXd therapy.

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Publication Details

Journal
npj Breast Cancer
Published
2025-12-09
DOI
https://doi.org/10.1038/s41523-025-00872-2
Citations
1
Primary Topic
HER2/EGFR in Cancer Research
Type
article
Field-Weighted Citation Impact
1.05

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article

HER2-low and ultralow expression of invasive breast carcinoma: clinicopathological features and immunohistochemical consistency analysis

Qingfu Zhang, Ruoying Yu, Xu Lu, Rui Wang et al.
1 citations
npj Breast Cancer
HER2/EGFR in Cancer Research
1.05
article

HER2-low and ultralow expression of invasive breast carcinoma: clinicopathological features and immunohistochemical consistency analysis

Qingfu Zhang, Ruoying Yu, Xu Lu, Rui Wang, Yitong Xu, Yuhan Dong, X. Jiang
article en
1 citations

Abstract

The DESTINY-Breast06 trial demonstrated survival benefits of trastuzumab deruxtecan (T-DXd) in human epidermal growth factor receptor 2 (HER2)-low/ultralow metastatic breast cancer. However, the associated clinicopathological features, HER2 testing consistency, and utility of artificial intelligence (AI)-assisted interpretation remain unclear. We analyzed 1455 HER2-non-amplified cases and conducted a multicenter ring study across 45 laboratories, with 209 tissue sections evaluated by manual and AI-assisted scoring. Compared to HER2-ultralow cases, HER2-null tumors exhibited higher histological grade (p < 0.001), lower estrogen receptor (ER) expression, and elevated Ki-67 (all P < 0.05). Triple-negative breast cancer (TNBC) patients in the HER2-null subgroup were significantly younger (P = 0.040). Significant staining variability was observed between antibodies: the 4B5 clone was associated with more HER2 0 and 1+ scores, while MXR001 yielded higher rates of HER2-low results (P < 0.05). Inter-laboratory concordance was moderate (68.89%), being poorest for HER2 1+ (57.58%; Kappa = 0.566). AI-assisted interpretation improved observer agreement (Kappa: 0.703 vs. 0.610 in non-amplified cases) and reduced ambiguous immunohistochemistry (IHC) 2+/0 assignments. These findings delineate distinct clinicopathological characteristics of HER2-ultralow/null tumors, highlight HER2 IHC reproducibility challenges, and validate AI as an effective tool for standardizing scoring to optimize patient selection for T-DXd therapy.

npj Breast CancerVol. 12(1)
Fourth Affiliated Hospital of China Medical University (CN), First Hospital of China Medical University (CN), China Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Liaoning Province
Openalex Percentile: Top 15%
HER2/EGFR in Cancer Research
1.05
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