Evidence map›Paper›PMID 35563449›Full record

ReviewInternational journal of molecular sciences2022

Tumour Stem Cells in Breast Cancer.

Marina Ibragimova, Matvey Tsyganov, Nikolai Litviakov

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. 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. Article
  3. Article
  4. Non-Coding RNAs in Breast Cancer: Diagnostic and Therapeutic Implications.International journal of molecular sciences · 2024
    Review
  5. Epigenetic and Immune Mechanisms Linking Breastfeeding to Lower Breast Cancer Rates.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Review
  6. Review
  7. Article
  8. Review
  9. Integrins in cancer stem cells.Frontiers in cell and developmental biology · 2024
    Review
  10. Article
  11. Cancer stem cell fate determination: mito-nuclear communication.Cell communication and signaling : CCS · 2023
    Review
  12. Review
  13. Review
  14. Review
  15. Targeting cancer stem cell plasticity in triple-negative breast cancer.Exploration of targeted anti-tumor therapy · 2023
    Review
  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.

Marina IbragimovaCancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, 5, Kooperativny Street, 634050 Tomsk, Russia.
Matvey TsyganovCancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, 5, Kooperativny Street, 634050 Tomsk, Russia.
Nikolai LitviakovCancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, 5, Kooperativny Street, 634050 Tomsk, Russia.ORCID 0000-0002-0714-8927

Funding

State contract of the Ministry of Science and Higher Education of the Russian Federation 075-15-2021-1073
6 · The paper itself

Abstract

Tumour stem cells (CSCs) are a self-renewing population that plays important roles in tumour initiation, recurrence, and metastasis. Although the medical literature is extensive, problems with CSC identification and cancer therapy remain. This review provides the main mechanisms of CSC action in breast cancer (BC): CSC markers and signalling pathways, heterogeneity, plasticity, and ecological behaviour. The dynamic heterogeneity of CSCs and the dynamic transitions of CSC

Indexed as

Breast NeoplasmsCell Transformation, NeoplasticFemaleHumansNeoplastic Stem CellsSignal Transductionbreast cancercancer stem cellsmetastasisplasticity

Identifiers

PMID35563449
PMCPMC9099719

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.