Evidence map›Paper›PMID 32087771›Full record

ArticleBiophysical journal2020

Examining Go-or-Grow Using Fluorescent Cell-Cycle Indicators and Cell-Cycle-Inhibiting Drugs.

Sean T Vittadello, Scott W McCue, Gency Gunasingh, Nikolas K Haass, Matthew J Simpson

Abstract read
In one paragraph

Article in Biophysical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Unraveling the Effects and Characteristics of Proliferating Tumor and Cytotoxic T Cells in Colorectal Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  5. Review
  6. Go-or-grow models in biology: a monster on a leash.Journal of mathematical biology · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Modelling microtube driven invasion of glioma.Journal of mathematical biology · 2023
    Article
  16. Cancer metastasis as a non-healing wound.British journal of cancer · 2021
    Review
  17. Article
  18. Article
  19. Article
  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

5 authors.

Sean T VittadelloSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia. Electronic address: sean.vittadello@qut.edu.au.
Scott W McCueSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Gency GunasinghThe University of Queensland, The University of Queensland Diamantina Institute, Brisbane, Queensland, Australia.
Nikolas K HaassThe University of Queensland, The University of Queensland Diamantina Institute, Brisbane, Queensland, Australia.
Matthew J SimpsonSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The go-or-grow hypothesis states that adherent cells undergo reversible phenotype switching between migratory and proliferative states, with cells in the migratory state being more motile than cells in the proliferative state. Here, we examine go-or-grow in two-dimensional in vitro assays using melanoma cells with fluorescent cell-cycle indicators and cell-cycle-inhibiting drugs. We analyze the experimental data using single-cell tracking to calculate mean diffusivities and compare motility between cells in different cell-cycle phases and in cell-cycle arrest. Unequivocally, our analysis does not support the go-or-grow hypothesis. We present clear evidence that cell motility is independent of the cell-cycle phase and that nonproliferative arrested cells have the same motility as cycling cells.

Indexed as

Cell TrackingPharmaceutical PreparationsCell CycleCell DivisionCell MovementPharmaceutical Preparations

Identifiers

PMID32087771
PMCPMC7091499

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.