Evidence map›Paper›PMID 35205707›Full record

ReviewCancers2022

Modeling the Role of Cancer-Associated Fibroblasts in Tumor Cell Invasion.

Stephanie Poon, Laurie E Ailles

Abstract readReview
In one paragraph

Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Heparan-6-Cancers · 2023
    Article
  7. iScience · 2023
    Article
  8. Review
  9. Review
  10. Article
  11. Exosomal cargos-mediated metabolic reprogramming in tumor microenvironment.Journal of experimental & clinical cancer research : CR · 2023
    Review
  12. Article
  13. Review
  14. 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

2 authors.

Stephanie PoonDepartment of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada.ORCID 0000-0003-2034-6108
Laurie E AillesDepartment of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The major cause of cancer-related deaths can be attributed to the metastatic spread of tumor cells-a dynamic and complex multi-step process beginning with tumor cells acquiring an invasive phenotype to allow them to travel through the blood and lymphatic vessels to ultimately seed at a secondary site. Over the years, various in vitro models have been used to characterize specific steps in the cascade to collectively begin providing a clearer picture of the puzzle of metastasis. With the discovery of the TME's supporting role in activating tumor cell invasion and metastasis, these models have evolved in parallel to accommodate features of the TME and to observe its interactions with tumor cells. In particular, CAFs that reside in reactive tumor stroma have been shown to play a substantial pro-invasive role through their matrix-modifying functions; accordingly, this warranted further investigation with the development and use of invasion assays that could include these stromal cells. This review explores the growing toolbox of assays used to study tumor cell invasion, from the simple beginnings of a tumor cell and extracellular matrix set-up to the advent of models that aim to more closely recapitulate the interplay between tumor cells, CAFs and the extracellular matrix. These models will prove to be invaluable tools to help tease out the intricacies of tumor cell invasion.

Indexed as

cancer-associated fibroblast (CAF)invasion assayin vitro modelingtumor invasiontumor microenvironment (TME)tumor modeling

Identifiers

PMID35205707
PMCPMC8870277

What OpenQuestion holds

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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.