Evidence map›Paper›PMID 25691822›Full record

ReviewContemporary oncology (Poznan, Poland)2015

Immunotargeting of cancer stem cells.

Eliza P Kwiatkowska-Borowczyk, Agnieszka Gąbka-Buszek, Jakub Jankowski, Andrzej Mackiewicz

Abstract readReview
In one paragraph

Review in Contemporary oncology (Poznan, Poland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Triple-Negative Breast Cancer: A Review of Conventional and Advanced Therapeutic Strategies.International journal of environmental research and public health · 2020
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  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

4 authors.

Eliza P Kwiatkowska-BorowczykDepartment of Cancer Immunology, University of Medical Sciences, Poznan, Poland ; Diagnostic and Immunology Department, Greater Poland Cancer Centre, Poznan, Poland.
Agnieszka Gąbka-BuszekDepartment of Cancer Immunology, University of Medical Sciences, Poznan, Poland.
Jakub JankowskiDepartment of Cancer Immunology, University of Medical Sciences, Poznan, Poland.
Andrzej MackiewiczDepartment of Cancer Immunology, University of Medical Sciences, Poznan, Poland ; Diagnostic and Immunology Department, Greater Poland Cancer Centre, Poznan, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer stem cells (CSCs) represent a distinctive population of tumour cells that control tumour initiation, progression, and maintenance. Their influence is great enough to risk the statement that successful therapeutic strategy must target CSCs in order to eradicate the disease. Because cancer stem cells are highly resistant to chemo- and radiotherapy, new tools to fight against cancer have to be developed. Expression of antigens such as ALDH, CD44, EpCAM, or CD133, which distinguish CSCs from normal cells, together with CSC immunogenicity and relatively low toxicity of immunotherapies, makes immune targeting of CSCs a promising approach for cancer treatment. This review will present immunotherapeutic approaches using dendritic cells, T cells, pluripotent stem cells, and monoclonal antibodies to target and eliminate CSCs.

Indexed as

adoptive cell transfercancercancer stem cellsdendritic cellsmonoclonal antibodiestumour immunotherapy

Identifiers

PMID25691822
PMCPMC4322523

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.