Evidence map›Paper›PMID 36634128›Full record

ArticlePLoS computational biology2023

Growth and adaptation mechanisms of tumour spheroids with time-dependent oxygen availability.

Ryan J Murphy, Gency Gunasingh, Nikolas K Haass, Matthew J Simpson

Abstract read
In one paragraph

Article in PLoS computational biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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.

Ryan J MurphyMathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.ORCID 0000-0002-9844-6734
Gency GunasinghFrazer Institute, The University of Queensland, Brisbane, Queensland, Australia.
Nikolas K HaassFrazer Institute, The University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0002-3928-5360
Matthew J SimpsonMathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.ORCID 0000-0001-6254-313X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumours are subject to external environmental variability. However, in vitro tumour spheroid experiments, used to understand cancer progression and develop cancer therapies, have been routinely performed for the past fifty years in constant external environments. Furthermore, spheroids are typically grown in ambient atmospheric oxygen (normoxia), whereas most in vivo tumours exist in hypoxic environments. Therefore, there are clear discrepancies between in vitro and in vivo conditions. We explore these discrepancies by combining tools from experimental biology, mathematical modelling, and statistical uncertainty quantification. Focusing on oxygen variability to develop our framework, we reveal key biological mechanisms governing tumour spheroid growth. Growing spheroids in time-dependent conditions, we identify and quantify novel biological adaptation mechanisms, including unexpected necrotic core removal, and transient reversal of the tumour spheroid growth phases.

Indexed as

NeoplasmsSpheroids, CellularHumansModels, BiologicalModels, TheoreticalOxygenOxygen

Identifiers

PMID36634128
PMCPMC9876349

What OpenQuestion holds

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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.