Evidence map›Paper›PMID 41366209›Full record

ArticleNPJ breast cancer2025

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

Yu-Han Dong, Yi-Tong Xu, Xi-Zi Jiang, Lu Xu, Rui-Jiao Yu, Rui Wang, Qing-Fu Zhang

Abstract read
In one paragraph

Article in NPJ breast cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yu-Han DongDepartment of Pathology, the First Affiliated Hospital and College of Basic Medical Sciences, China Medical University, Shenyang, PR China.
Yi-Tong XuDepartment of Pathology, the First Affiliated Hospital and College of Basic Medical Sciences, China Medical University, Shenyang, PR China.
Xi-Zi JiangDepartment of Pathology, the First Affiliated Hospital and College of Basic Medical Sciences, China Medical University, Shenyang, PR China.
Lu XuDepartment of Medical Oncology, The First Hospital of China Medical University, Shenyang, China.
Rui-Jiao YuDepartment of Pathology, the First Affiliated Hospital and College of Basic Medical Sciences, China Medical University, Shenyang, PR China.
Rui WangDepartment of Pathology, the Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, PR China.
Qing-Fu ZhangDepartment of Pathology, the First Affiliated Hospital and College of Basic Medical Sciences, China Medical University, Shenyang, PR China. qfzhang@cmu.edu.cn.

Funding

Natural Science Foundation of Liaoning Province No.2024-MS-065The Basic Scientific Research Project of Liaoning Provincial Department of Education No.LJ212410159098the National Natural Science Foundation of China No. 82404068
6 · The paper itself

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.

Identifiers

PMID41366209
PMCPMC12796190

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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.