Evidence map›Paper›PMID 39891991›Full record

ArticleESMO open2025

Interobserver consistency and diagnostic challenges in HER2-ultralow breast cancer: a multicenter study.

S Wu, J Shang, Z Li, H Liu, X Xu, Z Zhang, Y Wang, M Zhao, M Yue, J He and 13 more

Abstract readMulticenter Study
In one paragraph

Article in ESMO open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  6. Repurposing HER2 IHC: Pan-HER2 and Low-HER2.Applied immunohistochemistry & molecular morphology : AIMM · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Predictive Biomarkers of Antibody-Drug Conjugate Efficacy for Solid Tumors: Current Challenges and the Potential Role of Quantitative Proteomics.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Review
  11. Review
  12. Review
  13. Review
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  15. Review
  16. Article
  17. Article
  18. Transformer-BasedDiagnostics (Basel, Switzerland) · 2025
    Article
  19. Review
  20. Article
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

23 authors.

S WuDepartment of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
J ShangDepartment of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Z LiDepartment of Pathology, The Ohio State University Wexner Medical Center, Columbus, USA.
H LiuDepartment of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
X XuDepartment of Pathology, Xingtai People's Hospital, Xingtai, China.
Z ZhangDepartment of Pathology, Cangzhou People's Hospital, Cangzhou, China.
Y WangDepartment of Pathology, Affiliated Hospital of Hebei University, Baoding, China.
M ZhaoDepartment of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
M YueDepartment of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
J HeDepartment of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
J MiaoDepartment of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Y SangDepartment of Pathology, Cangzhou People's Hospital, Cangzhou, China.
J YanDepartment of Pathology, Xingtai People's Hospital, Xingtai, China.
W PangDepartment of Pathology, Xingtai People's Hospital, Xingtai, China.
Q ShaoDepartment of Pathology, Cangzhou People's Hospital, Cangzhou, China.
Y ZhangDepartment of Pathology, Cangzhou People's Hospital, Cangzhou, China.
M ZhaoDepartment of Pathology, Xingtai People's Hospital, Xingtai, China.
X LiuDepartment of Pathology, Xingtai People's Hospital, Xingtai, China.
P WangDepartment of Pathology, Cangzhou People's Hospital, Cangzhou, China.
C CaiDepartment of Pathology, Cangzhou People's Hospital, Cangzhou, China.
B LiuDepartment of Pathology, Xingtai People's Hospital, Xingtai, China.
X WangDepartment of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
Y LiuDepartment of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China. Electronic address: annama@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent advancements in novel antibody-drug conjugates (ADCs) have demonstrated efficacy in patients with human epidermal growth factor receptor 2 (HER2)-ultralow breast cancer (BC), expanding the eligibility for anti-HER2 targeted therapy to include some patients previously categorized as HER2 immunohistochemistry (IHC) 0. This expansion underscores the need for pathologists to accurately differentiate HER2-null and HER2-ultralow. MATERIALS AND

methodsThirty-six pathologists from four centers nationwide conducted microscopic visual assessments on HER2 IHC slides from 50 consecutive BC surgical specimens, all previously diagnosed as HER2 IHC 0.

resultsThe interobserver consistency in differentiating HER2-null from HER2-ultralow, measured by Fleiss κ, was only 0.230-lower than the consistency for combined HER2 IHC 0 cases (Fleiss κ = 0.344) and binary classification (HER2-null versus HER2-non-null; Fleiss κ = 0.292). High agreement for HER2-null versus HER2-ultralow differentiation was achieved in only 4% of cases, while combining them into HER2 IHC 0 raised high agreement cases to 32%, higher than the 18% seen in the binary classification. Consensus among the 36 pathologists aligned with historical scores in 72% of cases; however, when subdividing HER2 IHC 0 into HER2-null and HER2-ultralow, the consistency dropped to 54%.

conclusionsThe low consistency among pathologists in distinguishing HER2-null, -ultralow, and 1+ cases may impact patient eligibility for new ADC therapies. To address this challenge, there is a need for improved detection methods, artificial intelligence-assisted quantitative assessments, and larger clinical datasets to refine the definition of HER2-ultralow.

Indexed as

Breast NeoplasmsErb-b2 Receptor Tyrosine KinasesBiomarkers, TumorFemaleHumansImmunohistochemistryObserver VariationBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine Kinasesbreast cancerHER2-nullHER2-ultralowinterobserver consistencyinterpretation

Identifiers

PMID39891991
PMCPMC11841085

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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.