Evidence mapPaperPMID 41510186Full record

ReviewMedComm2026

Breast Cancer: Molecular Pathogenesis, Targeted Therapy, Screening, and Prevention.

Huijun Lei, Jinzhen Fu, Wei Gu, Hongjin Qiao, Huixue Guo, Zijian Chen, San Ming Wang, Tianhui Chen

Abstract readReview
In one paragraph

Review in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Upregulation of a CircularInternational journal of molecular sciences · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. 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

8 authors.

Huijun LeiDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM) Chinese Academy of Sciences Hangzhou Zhejiang China.ORCID https://orcid.org/0000-0002-9398-5472
Jinzhen FuDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM) Chinese Academy of Sciences Hangzhou Zhejiang China.
Wei GuDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM) Chinese Academy of Sciences Hangzhou Zhejiang China.
Hongjin QiaoDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM) Chinese Academy of Sciences Hangzhou Zhejiang China.
Huixue GuoDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM) Chinese Academy of Sciences Hangzhou Zhejiang China.
Zijian ChenDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM) Chinese Academy of Sciences Hangzhou Zhejiang China.ORCID https://orcid.org/0000-0003-4677-0361
San Ming WangFaculty of Health Sciences University of Macau Taipa Macau China.
Tianhui ChenDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM) Chinese Academy of Sciences Hangzhou Zhejiang China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most common cancer and the leading cause of cancer-related death among women worldwide. Advances in molecular biology, high-throughput sequencing, and integrative-omics have deepened the understanding of its heterogeneity by clarifying mechanisms linked to genetic susceptibility, epigenetic regulation, oncogenic signaling, and immune evasion. Although those developments have driven progress in targeted therapy and screening, concerns on drug resistance, toxicity, global inequities, and suboptimal risk stratification continue to limit outcomes. This review systematically summarizes current advances across four interconnected areas of breast cancer research and management, including molecular pathogenesis, targeted therapy, screening, and prevention. It describes key biological processes that shape tumor heterogeneity and examines targeted therapies, including endocrine agents, HER2-directed drugs, CDK4/6 and PI3K/AKT/mTOR inhibitors, antibody-drug conjugates, and immunotherapies, together with mechanisms of resistance and emerging treatment targets. It also evaluates evolving approaches in risk stratification and screening, highlighting progress in digital breast tomosynthesis, magnetic resonance imaging, contrast-enhanced mammography, and artificial intelligence-assisted interpretation. By integrating cutting-edge molecular insights with clinical advances, this review further highlights the expanding opportunities for personalized therapy and precision prevention. It outlines future directions linking multiomics and artificial intelligence to more equitable and effective breast cancer management.

Indexed as

breast cancerpathogenesispreventionrisk assessmentscreeningtargeted therapy

Identifiers

PMID41510186
PMCPMC12778424

What Socratic holds

Textmetadata
LicenceCC BY
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.