Evidence map›Paper›PMID 29628530›Full record

ArticleJournal of physics D: Applied physics2017

Jamming transitions in cancer.

Linda Oswald, Steffen Grosser, David M Smith, Josef A Käs

Abstract read
In one paragraph

Article in Journal of physics D: Applied physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
–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

80 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Changes in Tissue Fluidity Predict Tumor Aggressiveness In Vivo.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review

20 more citing papers are in PubMed but not listed here.

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.

Linda Oswald *University of Leipzig, Faculty of Physics and Earth Sciences, Debye Institute, Linnéstr. 5, 04103 Leipzig, Germany.
Steffen Grosser *University of Leipzig, Faculty of Physics and Earth Sciences, Debye Institute, Linnéstr. 5, 04103 Leipzig, Germany.
David M SmithFraunhofer Institute for Cell Therapy and Immunology, Perlickstr. 1, 04103 Leipzig, Germany.
Josef A KäsUniversity of Leipzig, Faculty of Physics and Earth Sciences, Debye Institute, Linnéstr. 5, 04103 Leipzig, Germany.

Funding

European Research Council 741350
6 · The paper itself

Abstract

The traditional picture of tissues, where they are treated as liquids defined by properties such as surface tension or viscosity has been redefined during the last few decades by the more fundamental question: under which conditions do tissues display liquid-like or solid-like behaviour? As a result, basic concepts arising from the treatment of tissues as solid matter, such as cellular jamming and glassy tissues, have shifted into the current focus of biophysical research. Here, we review recent works examining the phase states of tissue with an emphasis on jamming transitions in cancer. When metastasis occurs, cells gain the ability to leave the primary tumour and infiltrate other parts of the body. Recent studies have shown that a linkage between an unjamming transition and tumour progression indeed exists, which could be of importance when designing surgery and treatment approaches for cancer patients.

Indexed as

cancercell mechanicscell migrationEMTepithelialjammingmetastasis

Identifiers

PMID29628530
PMCPMC5884432

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.