Evidence map›Paper›PMID 28894696›Full record

ReviewFrontiers in oncology2017

Stefanie Kirchberger, Caterina Sturtzel, Susana Pascoal, Martin Distel

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Zebrafish live imaging: a strong weapon in anticancer drug discovery and development.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
  6. Article
  7. Zebrafish as a model system for studying reproductive diseases.Frontiers in cell and developmental biology · 2024
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Zebrafish Models of Paediatric Brain Tumours.International journal of molecular sciences · 2022
    Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Modeling Brain Tumors: A Perspective Overview ofFrontiers in molecular neuroscience · 2022
    Review
  19. Review
  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.

Stefanie KirchbergerSt. Anna Kinderkrebsforschung, Children's Cancer Research Institute, Innovative Cancer Models, Vienna, Austria.
Caterina SturtzelSt. Anna Kinderkrebsforschung, Children's Cancer Research Institute, Innovative Cancer Models, Vienna, Austria.
Susana PascoalSt. Anna Kinderkrebsforschung, Children's Cancer Research Institute, Innovative Cancer Models, Vienna, Austria.
Martin DistelSt. Anna Kinderkrebsforschung, Children's Cancer Research Institute, Innovative Cancer Models, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last decade, zebrafish has proven to be a powerful model in cancer research. Zebrafish form tumors that histologically and genetically resemble human cancers. The live imaging and cost-effective compound screening possible with zebrafish especially complement classic mouse cancer models. Here, we report recent progress in the field, including genetically engineered zebrafish cancer models, xenotransplantation of human cancer cells into zebrafish, promising approaches toward live investigation of the tumor microenvironment, and identification of therapeutic strategies by performing compound screens on zebrafish cancer models. Given the recent advances in genome editing, personalized zebrafish cancer models are now a realistic possibility. In addition, ongoing automation will soon allow high-throughput compound screening using zebrafish cancer models to be part of preclinical precision medicine approaches.

Indexed as

cancercompound screengenetically engineered modelstumor microenvironmentxenograft modelszebrafish

Identifiers

PMID28894696
PMCPMC5581328

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.