Evidence map›Paper›PMID 39486153›Full record

ReviewBreast (Edinburgh, Scotland)2024

The "lows": Update on ER-low and HER2-low breast cancer.

Nicola Fusco, Giuseppe Viale

Abstract readReview
In one paragraph

Review in Breast (Edinburgh, Scotland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. The immunology of human breast cancer.Nature reviews. Immunology · 2026
    Review
  2. Observational
  3. Review
  4. Review
  5. Redefining breast cancer: therapeutic opportunities in HER2-low and emerging molecular subtypes.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Immunohistochemistry for PTEN testing in HR +/HER2- metastatic breast cancer.Virchows Archiv : an international journal of pathology · 2025
    Review
  20. Deep learning algorithm on H&E whole slide images to characterizeComputational and structural biotechnology journal · 2024
    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

2 authors.

Nicola FuscoDepartment of Pathology and Laboratory Medicine, European Institute of Oncology IRCCS, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy. Electronic address: nicola.fusco@ieo.it.
Giuseppe VialeDepartment of Pathology and Laboratory Medicine, European Institute of Oncology IRCCS, Milan, Italy. Electronic address: giuseppe.viale@ieo.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ER-low and HER2-low breast cancers have emerged as clinically significant subtypes that challenge traditional diagnostic categories and treatment paradigms. These subtypes, representing a spectrum of disease, exhibit distinct biological behaviors, therapeutic responses, and prognostic outcomes. HER2-low breast cancer, defined by low HER2 protein expression (IHC score of 1+ or 2+ without HER2 gene amplification), has achieved clinical significance, particularly following the DESTINY-Breast trials, which demonstrated the efficacy of trastuzumab deruxtecan (T-DXd) in the population of patients with advanced HER2-low disease. Similarly, ER-low breast cancer, characterized by low estrogen receptor expression (in 1%-10 % invasive tumor cells), poses unique challenges due to its intermediate biological behavior and uncertain response to endocrine therapies. The identification of these subtypes is further complicated by inconsistencies in testing methodologies, which can lead to misclassification and impact treatment decisions. As our understanding of these subtypes improves, the need for standardized diagnostic approaches and individualized therapeutic decisions becomes increasingly urgent. Ongoing research and collaboration between pathologists and oncologists are essential for refining diagnostic criteria and improving outcomes for patients with breast cancers characterized by low expression of these theragnostic biomarkers. This review aims to consolidate current knowledge on HER2-low and ER-low breast cancers, focusing on the challenges associated with their identification, the implications for treatment, and future directions in clinical management. By examining recent studies and interlaboratory assessments, this review emphasizes the critical need for accurate and reproducible testing and reporting, and for the development of tailored therapeutic strategies for these "low" expression cancers.

Indexed as

Biomarkers, TumorBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesImmunoconjugatesReceptors, EstrogenTrastuzumabAntineoplastic Agents, ImmunologicalCamptothecinFemaleHumansPrognosisAntineoplastic Agents, ImmunologicalBiomarkers, TumorCamptothecinERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesImmunoconjugatesReceptors, EstrogenTrastuzumabtrastuzumab deruxtecanBiomarkersBreast cancerER-lowHER2-Low

Identifiers

PMID39486153
PMCPMC11564046

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.