Evidence map›Paper›PMID 34168276›Full record

ArticleCommunications biology2021

An integrated framework for quantifying immune-tumour interactions in a 3D co-culture model.

Gheed Al-Hity, FengWei Yang, Eduard Campillo-Funollet, Andrew E Greenstein, Hazel Hunt, Myrthe Mampay, Haya Intabli, Marta Falcinelli, Anotida Madzvamuse, Chandrasekhar Venkataraman and 1 more

Abstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. 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

11 authors.

Gheed Al-HitySchool of Pharmacy and Biomolecular sciences, University of Brighton, Centre for Stress and Age-related Diseases, Moulsecoomb, Brighton, BN2, 4GJ, UK.ORCID http://orcid.org/0000-0003-2011-0162
FengWei YangDepartment of Chemical and Process Engineering, University of Surrey, Surrey, UK.ORCID http://orcid.org/0000-0002-0619-0840
Eduard Campillo-FunolletGenome Damage and Stability Centre, University of Sussex, Falmer, Brighton, BN1 9QH, UK.ORCID http://orcid.org/0000-0001-7021-1610
Andrew E GreensteinCorcept Therapeutics, 149 Commonwealth Drive, Menlo Park, California, 94025, United States.ORCID http://orcid.org/0000-0002-1470-1970
Hazel HuntCorcept Therapeutics, 149 Commonwealth Drive, Menlo Park, California, 94025, United States.ORCID http://orcid.org/0000-0002-4316-1301
Myrthe MampaySchool of Pharmacy and Biomolecular sciences, University of Brighton, Centre for Stress and Age-related Diseases, Moulsecoomb, Brighton, BN2, 4GJ, UK.ORCID http://orcid.org/0000-0002-4966-2721
Haya IntabliSchool of Pharmacy and Biomolecular sciences, University of Brighton, Centre for Stress and Age-related Diseases, Moulsecoomb, Brighton, BN2, 4GJ, UK.ORCID http://orcid.org/0000-0003-3820-4431
Marta FalcinelliSchool of Pharmacy and Biomolecular sciences, University of Brighton, Centre for Stress and Age-related Diseases, Moulsecoomb, Brighton, BN2, 4GJ, UK.ORCID http://orcid.org/0000-0001-6496-6953
Anotida MadzvamuseSchool of Mathematical and Physical Sciences, University of Sussex, Department of Mathematics, Falmer, Brighton, BN1 9QH, UK. A.Madzvamuse@sussex.ac.uk.ORCID http://orcid.org/0000-0002-9511-8903
Chandrasekhar VenkataramanSchool of Mathematical and Physical Sciences, University of Sussex, Department of Mathematics, Falmer, Brighton, BN1 9QH, UK. C.Venkataraman@sussex.ac.uk.ORCID http://orcid.org/0000-0003-4039-2056
Melanie S FlintSchool of Pharmacy and Biomolecular sciences, University of Brighton, Centre for Stress and Age-related Diseases, Moulsecoomb, Brighton, BN2, 4GJ, UK. M.Flint@brighton.ac.uk.ORCID http://orcid.org/0000-0001-5311-3023

Funding

Department of Health 133761
6 · The paper itself

Abstract

Investigational in vitro models that reflect the complexity of the interaction between the immune system and tumours are limited and difficult to establish. Herein, we present a platform to study the tumour-immune interaction using a co-culture between cancer spheroids and activated immune cells. An algorithm was developed for analysis of confocal images of the co-culture to evaluate the following quantitatively; immune cell infiltration, spheroid roundness and spheroid growth. As a proof of concept, the effect of the glucocorticoid stress hormone, cortisol was tested on 66CL4 co-culture model. Results were comparable to 66CL4 syngeneic in vivo mouse model undergoing psychological stress. Furthermore, administration of glucocorticoid receptor antagonists demonstrated the use of this model to determine the effect of treatments on the immune-tumour interplay. In conclusion, we provide a method of quantifying the interaction between the immune system and cancer, which can become a screening tool in immunotherapy design.

Indexed as

Coculture TechniquesAlgorithmsAnimalsCell Line, TumorFemaleHydrocortisoneMiceMice, Inbred BALB CReceptors, GlucocorticoidSpheroids, CellularTriple Negative Breast NeoplasmsHydrocortisoneReceptors, Glucocorticoid

Identifiers

PMID34168276
PMCPMC8225809

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.