Evidence map›Paper›PMID 40890218›Full record

ArticleNPJ breast cancer2025

Enhancing HER2-low breast cancer detection with quantitative transcriptomics.

Maria-Anna Misiakou, Maj-Britt Jensen, Maj-Lis Talman, Bent Ejlertsen, Maria Rossing

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Spatial and Proteolytic Determinants of Therapeutic Potential in HER2-Low Breast Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Review
  4. 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

5 authors.

Maria-Anna MisiakouCenter for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Maj-Britt JensenDanish Breast Cancer Group, Copenhagen, Denmark.
Maj-Lis TalmanDepartment of Pathology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Bent EjlertsenDanish Breast Cancer Group, Copenhagen, Denmark.
Maria RossingCenter for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark. Caroline.maria.rossing@regionh.dk.ORCID http://orcid.org/0000-0003-4325-3027

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate identification of HER2-low breast cancers remains challenging using standard IHC. We analyzed 3182 breast tumors using transcriptomics, revealing detectable ERBB2 mRNA in 86% of IHC 0 cases. Pathological complete response was most prevalent in anti-HER2-treated patients with highest ERBB2 expression. Our results demonstrate that transcriptomics can sensitively detect HER2 expression and stratify patients beyond IHC classification, supporting its use as a complementary biomarker for guiding anti-HER2 therapy decisions.

Identifiers

PMID40890218
PMCPMC12402487

What OpenQuestion holds

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Registered trials

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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.