Evidence map›Paper›PMID 26380552›Full record

ReviewBreast cancer : basic and clinical research2015

Targeting Breast Cancer Metastasis.

Xin Jin, Ping Mu

Abstract readReview
In one paragraph

Review in Breast cancer : basic and clinical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.

0numbers the graph read from it
0cells of the map it votes in
123citing 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

123 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Altered Cell SurfaceJournal of proteome research · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Modelling metastasis in a dish:Pathology oncology research : POR · 2025
    Review
  17. Review
  18. Article
  19. Article
  20. Article

63 more citing papers are in PubMed but not listed here.

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.

Xin JinCancer Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA. ; Institute for Medical Engineering & Science (IMES), Massachusetts Institute of Technology, Cambridge, MA, USA.
Ping MuHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastasis is the leading cause of breast cancer-associated deaths. Despite the significant improvement in current therapies in extending patient life, 30-40% of patients may eventually suffer from distant relapse and succumb to the disease. Consequently, a deeper understanding of the metastasis biology is key to developing better treatment strategies and achieving long-lasting therapeutic efficacies against breast cancer. This review covers recent breakthroughs in the discovery of various metastatic traits that contribute to the metastasis cascade of breast cancer, which may provide novel avenues for therapeutic targeting.

Indexed as

breast cancermetastasismetastatic traitsprecision medicinetargeted therapy

Identifiers

PMID26380552
PMCPMC4559199

What OpenQuestion holds

Textmetadata
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.