Evidence map›Paper›PMID 25559951›Full record

ReviewJournal of Zhejiang University. Science. B2015

Epigenetic and metabolic regulation of breast cancer stem cells.

Hui-xin Liu, Xiao-li Li, Chen-fang Dong

Abstract readReview
In one paragraph

Review in Journal of Zhejiang University. Science. B, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. DNA methylation in the tumor microenvironment.Journal of Zhejiang University. Science. B · 2017
    Review
  12. Article
  13. Article
  14. Review
  15. Breast metastasis of gastric signet-ring cell carcinoma.Journal of Zhejiang University. Science. B
    Article
  16. 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.

Hui-xin LiuDepartment of Pathology and Pathophysiology, School of Medicine, Zhejiang University, Hangzhou 310058, China.
Xiao-li Li
Chen-fang Dong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer has a relatively high mortality rate in women due to recurrence and metastasis. Increasing evidence has identified a rare population of cells with stem cell-like properties in breast cancer. These cells, termed cancer stem cells (CSCs), which have the capacity for self-renewal and differentiation, contribute significantly to tumor progression, recurrence, drug resistance and metastasis. Clarifying the mechanisms regulating breast CSCs has important implications for our understanding of breast cancer progression and therapeutics. A strong connection has been found between breast CSCs and epithelial mesenchymal transition (EMT). In addition, recent studies suggest that the maintenance of the breast CSC phenotype is associated with epigenetic and metabolic regulation. In this review, we focus on recent discoveries about the connection between EMT and CSC, and advances made in understanding the roles and mechanisms of epigenetic and metabolic reprogramming in controlling breast CSC properties.

Indexed as

Epigenesis, GeneticGene Expression Regulation, NeoplasticAnimalsBreast NeoplasmsCell DifferentiationDisease ProgressionDrug Resistance, NeoplasmEpithelial-Mesenchymal TransitionFemaleHumansMammary Neoplasms, ExperimentalMiceNeoplasm MetastasisNeoplasm Recurrence, LocalNeoplastic Stem CellsPhenotypeBreast cancerCancer stem cells (CSCs)Epigenetic modificationEpithelial mesenchymal transition (EMT)Metabolic reprogramming

Identifiers

PMID25559951
PMCPMC4288940

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.