Evidence map›Paper›PMID 34842141›Full record

ArticleeLife2021

Quantitative analysis of tumour spheroid structure.

Alexander P Browning, Jesse A Sharp, Ryan J Murphy, Gency Gunasingh, Brodie Lawson, Kevin Burrage, Nikolas K Haass, Matthew Simpson

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
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  7. Stress-dependent growth in breast cancer arises from a mechano-osmotic coupling and cell-sizing checkpoint.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Mechano-Organ-on-Chip for Cancer Research.International journal of molecular sciences · 2026
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Principles of Hanging Drop Method (Spheroid Formation) in Cell Culture.Methods in molecular biology (Clifton, N.J.) · 2025
    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

8 authors.

Alexander P Browning *School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0002-8753-1538
Jesse A Sharp *School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0002-2865-4853
Ryan J MurphySchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0002-9844-6734
Gency GunasinghThe University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Australia.
Brodie LawsonSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0003-1317-5988
Kevin BurrageSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0002-8111-1137
Nikolas K Haass *The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, Australia.ORCID 0000-0002-3928-5360
Matthew Simpson *School of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0001-6254-313X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumour spheroids are common in vitro experimental models of avascular tumour growth. Compared with traditional two-dimensional culture, tumour spheroids more closely mimic the avascular tumour microenvironment where spatial differences in nutrient availability strongly influence growth. We show that spheroids initiated using significantly different numbers of cells grow to similar limiting sizes, suggesting that avascular tumours have a limiting structure; in agreement with untested predictions of classical mathematical models of tumour spheroids. We develop a novel mathematical and statistical framework to study the structure of tumour spheroids seeded from cells transduced with fluorescent cell cycle indicators, enabling us to discriminate between arrested and cycling cells and identify an arrested region. Our analysis shows that transient spheroid structure is independent of initial spheroid size, and the limiting structure can be independent of seeding density. Standard experimental protocols compare spheroid size as a function of time; however, our analysis suggests that comparing spheroid structure as a function of overall size produces results that are relatively insensitive to variability in spheroid size. Our experimental observations are made using two melanoma cell lines, but our modelling framework applies across a wide range of spheroid culture conditions and cell lines.

Indexed as

HumansMelanomaModels, BiologicalSpheroids, CellularTumor Cells, Culturedcancer biologycomputational biologydiffusionFUCCIhumaninferencesteady-statesystems biologytumour spheroiduncertainty quantification

Identifiers

PMID34842141
PMCPMC8741212

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.