Evidence map›Paper›PMID 31940967›Full record

ReviewInternational journal of molecular sciences2020

Genetically Engineered Pigs to Study Cancer.

Daniela Kalla, Alexander Kind, Angelika Schnieke

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.8field-weighted citation impact, top 4% of its field
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

22 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
  2. Article
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  8. Review
  9. Large Animal Models of Breast Cancer.Frontiers in oncology · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Porcine germline genome engineering.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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 at 1 institution in 1 country.

Daniela KallaChair of Livestock Biotechnology, School of Life Sciences, Technische Universität München, 85354 Freising, Germany.
Alexander KindChair of Livestock Biotechnology, School of Life Sciences, Technische Universität München, 85354 Freising, Germany.
Angelika SchniekeChair of Livestock Biotechnology, School of Life Sciences, Technische Universität München, 85354 Freising, Germany.
Technical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent decades have seen groundbreaking advances in cancer research. Genetically engineered animal models, mainly in mice, have contributed to a better understanding of the underlying mechanisms involved in cancer. However, mice are not ideal for translating basic research into studies closer to the clinic. There is a need for complementary information provided by non-rodent species. Pigs are well suited for translational biomedical research as they share many similarities with humans such as body and organ size, aspects of anatomy, physiology and pathophysiology and can provide valuable means of developing and testing novel diagnostic and therapeutic procedures. Porcine oncology is a new field, but it is clear that replication of key oncogenic mutation in pigs can usefully mimic several human cancers. This review briefly outlines the technology used to generate genetically modified pigs, provides an overview of existing cancer models, their applications and how the field may develop in the near future.

Indexed as

Animals, Genetically ModifiedNeoplasms, ExperimentalSwineAnimalsHumansbreast cancercolorectal cancergenome editingosteosarcomapancreatic cancerpigpreclinical cancer modelsswinetransgenic

Identifiers

PMID31940967
PMCPMC7013672
OpenAlexW3000120365

What OpenQuestion 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 OpenQuestion graph.