Evidence map›Paper›PMID 39979291›Full record

ArticleNPJ breast cancer2025

The Breast Cancer Classifier refines molecular breast cancer classification to delineate the HER2-low subtype.

Polina Turova, Vladimir Kushnarev, Oleg Baranov, Anna Butusova, Sofia Menshikova, Sheila T Yong, Anna Nadiryan, Zoia Antysheva, Svetlana Khorkova, Mariia V Guryleva and 4 more

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 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  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. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  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

14 authors.

Polina TurovaBostonGene Corporation, Waltham, MA, USA.
Vladimir KushnarevBostonGene Corporation, Waltham, MA, USA.ORCID http://orcid.org/0000-0003-4608-9349
Oleg BaranovBostonGene Corporation, Waltham, MA, USA.
Anna ButusovaBostonGene Corporation, Waltham, MA, USA.
Sofia MenshikovaBostonGene Corporation, Waltham, MA, USA.
Sheila T YongBostonGene Corporation, Waltham, MA, USA.
Anna NadiryanBostonGene Corporation, Waltham, MA, USA.
Zoia AntyshevaBostonGene Corporation, Waltham, MA, USA.
Svetlana KhorkovaBostonGene Corporation, Waltham, MA, USA.
Mariia V GurylevaBostonGene Corporation, Waltham, MA, USA.
Alexander BagaevBostonGene Corporation, Waltham, MA, USA.
Jochen K LennerzBostonGene Corporation, Waltham, MA, USA.
Konstantin ChernyshovBostonGene Corporation, Waltham, MA, USA.
Nikita KotlovBostonGene Corporation, Waltham, MA, USA. nikita.kotlov@bostongene.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current breast cancer classification methods, particularly immunohistochemistry and PAM50, face challenges in accurately characterizing the HER2-low subtype, a therapeutically relevant entity with distinct biological features. This notable gap can lead to misclassification, resulting in inappropriate treatment decisions and suboptimal patient outcomes. Leveraging RNA-seq and machine-learning algorithms, we developed the Breast Cancer Classifier (BCC), a unique transcriptomic classifier for more precise breast cancer subtyping, specifically by delineating and incorporating HER2-low as a distinct subtype. BCC also redefined the PAM50 Normal subtype into other subtypes, disputing its classification as a unique molecular group. Our statistical analysis not only confirmed the reproducibility and accuracy of BCC, but also revealed similarities in prognostic characteristics between the HER2-low and Basal subtypes. Addressing this gap in breast cancer classification is clinically significant because it not only improves treatment stratification, but also uncovers novel molecular and immunohistochemical features associated with the HER2-low and HER2-high subtypes, thereby advancing our understanding of breast cancer heterogeneity and providing guidance in precision oncology.

Identifiers

PMID39979291
PMCPMC11842814

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.