Evidence map›Paper›PMID 40269562›Full record

ReviewCancer biology & medicine2025

The treatment of breast cancer in the era of precision medicine.

Jingwen Bai, Yiyang Gao, Guojun Zhang

Abstract readReview
In one paragraph

Review in Cancer biology & medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Special Issue "Breast Cancer: From Pathophysiology to Novel Therapies".International journal of molecular sciences · 2026
    Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Evidence and gaps in tumor-agnostic therapies for breast cancer: a narrative review.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2026
    Review
  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

3 authors.

Jingwen Bai *The Breast Center of Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University & Peking University Cancer Hospital Yunnan, Kunming 650118, China.
Yiyang Gao *Fujian Key Laboratory of Precision Diagnosis and Treatment in Breast Cancer, School of Medicine, Xiamen University, Xiamen 361100, China.
Guojun ZhangThe Breast Center of Yunnan Cancer Hospital & The Third Affiliated Hospital of Kunming Medical University & Peking University Cancer Hospital Yunnan, Kunming 650118, China.ORCID 0000-0001-5182-5887

Funding

National Natural Science Foundation of China 32171363National Natural Science Foundation of China 82103614Natural Science Foundation of Fujian Province of China 2021J05007Third Affiliated Hospital of Kunming Medical University 20233160A0866Third Affiliated Hospital of Kunming Medical University 20243160A0511Yunnan Science and Technology Department 202403AC100014-2
6 · The paper itself

Abstract

The management of breast cancer, one of the most common and heterogeneous malignancies, has transformed with the advent of precision medicine. This review explores current developments in genetic profiling, molecular diagnostics, and targeted therapies that have revolutionized breast cancer treatment. Key innovations, such as cyclin-dependent kinases 4/6 (CDK4/6) inhibitors, antibody-drug conjugates (ADCs), and immune checkpoint inhibitors (ICIs), have improved outcomes for hormone receptor-positive (HR+), HER2-positive (HER2+), and triple-negative breast cancer (TNBC) subtypes remarkably. Additionally, emerging treatments, such as PI3K inhibitors, poly (ADP-ribose) polymerase (PARP) inhibitors, and mRNA-based therapies, offer new avenues for targeting specific genetic mutations and improving treatment response, particularly in difficult-to-treat breast cancer subtypes. The integration of liquid biopsy technologies provides a non-invasive approach for real-time monitoring of tumor evolution and treatment response, thus enabling dynamic adjustments to therapy. Molecular imaging and artificial intelligence (AI) are increasingly crucial in enhancing diagnostic precision, personalizing treatment plans, and predicting therapeutic outcomes. As precision medicine continues to evolve, it has the potential to significantly improve survival rates, decrease recurrence, and enhance quality of life for patients with breast cancer. By combining cutting-edge diagnostics, personalized therapies, and emerging treatments, precision medicine can transform breast cancer care by offering more effective, individualized, and less invasive treatment options.

Indexed as

Breast NeoplasmsPrecision MedicineArtificial IntelligenceFemaleHumansImmunotherapyLiquid BiopsyMolecular ImagingPoly(ADP-ribose) Polymerase InhibitorsProtein Kinase InhibitorsRNA, MessengerPoly(ADP-ribose) Polymerase InhibitorsProtein Kinase InhibitorsRNA, MessengerBreast cancerdiagnostic precisionpersonalized therapyprecision medicine

Identifiers

PMID40269562
PMCPMC12032834

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.