Evidence map›Paper›PMID 25232505›Full record

ReviewAmerican journal of stem cells2014

Metastatic cancer stem cells: from the concept to therapeutics.

Wen-Ting Liao, Ya-Ping Ye, Yong-Jian Deng, Xiu-Wu Bian, Yan-Qing Ding

Abstract readReview
In one paragraph

Review in American journal of stem cells, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
  2. Review
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  4. Onco-Breastomics: An Eco-Evo-Devo Holistic Approach.International journal of molecular sciences · 2024
    Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Emerging drug targets for colon cancer: A preclinical assessment.Expert opinion on therapeutic targets · 2022
    Review
  14. Review
  15. Article
  16. Review
  17. Article
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  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

5 authors.

Wen-Ting LiaoDepartment of Pathology, School of Basic Medical Sciences, Southern Medical University Guangzhou 510515, China.
Ya-Ping YeDepartment of Pathology, School of Basic Medical Sciences, Southern Medical University Guangzhou 510515, China.
Yong-Jian DengDepartment of Pathology, School of Basic Medical Sciences, Southern Medical University Guangzhou 510515, China.
Xiu-Wu BianInstitute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University Chongqing 400038, China.
Yan-Qing DingDepartment of Pathology, School of Basic Medical Sciences, Southern Medical University Guangzhou 510515, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic cancer stem cells (MCSCs) refer to a subpopulation of cancer cells with both stem cell properties and invasion capabilities that contribute to cancer metastasis. MCSCs have capability of self-renewal, potentials of multiple differentiation and development and/or reconstruction of cancer tissues. As compared with stationary cancer stem cells, MCSCs are capable of invasion to normal tissues such as vasculatures, resistance to chemo- and/or radio-therapies, escape from immune surveillance, survival in circulation and formation of metastasis. MCSCs are derived from invasive cancer stem cells (iCSCs) due to the plasticity of cancer stem cells, which is one of the characteristics of cancer cell heterogeneity. Both stages of iCSCs and MSCSs are the potential therapeutic targets for cancer metastasis in the future strategies of personalized cancer therapy.

Indexed as

Cancer stem cellsinvasion and metastasistherapeutics

Identifiers

PMID25232505
PMCPMC4163604

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.