Evidence map›Paper›PMID 30406572›Full record

ReviewBiophysical reviews2018

Tissue engineering the cancer microenvironment-challenges and opportunities.

Vassilis Papalazarou, Manuel Salmeron-Sanchez, Laura M Machesky

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Breast cancers as ecosystems: a metabolic perspective.Cellular and molecular life sciences : CMLS · 2023
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Organ on Chip Technology to Model Cancer Growth and Metastasis.Bioengineering (Basel, Switzerland) · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

3 authors.

Vassilis PapalazarouCRUK Beatson Institute for Cancer Research and Institute of cancer Sciences, University of Glasgow, Garscube Campus, Switchback Road, Bearsden, Glasgow, G61 1BD, UK.
Manuel Salmeron-SanchezThe Centre for the Cellular Microenvironment, University of Glasgow, Glasgow, G12 8QQ, UK.
Laura M MacheskyCRUK Beatson Institute for Cancer Research and Institute of cancer Sciences, University of Glasgow, Garscube Campus, Switchback Road, Bearsden, Glasgow, G61 1BD, UK. L.machesky@beatson.gla.ac.uk.ORCID http://orcid.org/0000-0002-7592-9856

Funding

Cancer Research UK 24452Cancer Research UK A15673
6 · The paper itself

Abstract

Mechanosensing is increasingly recognised as important for tumour progression. Tumours become stiff and the forces that normally balance in the healthy organism break down and become imbalanced, leading to increases in migration, invasion and metastatic dissemination. Here, we review recent advances in our understanding of how extracellular matrix properties, such as stiffness, viscoelasticity and architecture control cell behaviour. In addition, we discuss how the tumour microenvironment can be modelled in vitro, capturing these mechanical aspects, to better understand and develop therapies against tumour spread. We argue that by gaining a better understanding of the microenvironment and the mechanical forces that govern tumour dynamics, we can make advances in combatting cancer dormancy, recurrence and metastasis.

Indexed as

AdhesionCancer microenvironmentCell migrationCytoskeletonExtracellular matrixHydrogelsMechanosensingMotility

Identifiers

PMID30406572
PMCPMC6297082

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.