Evidence map›Paper›PMID 41708953›Full record

ReviewOncogene2026

Modelling adipose tissue-cancer crosstalk: a three-dimensional perspective.

Gabriele Strusi, Caterina M Suelzu, Justin Stebbing

Abstract readReview
In one paragraph

Review in Oncogene, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Gabriele Strusi *Department of Life Sciences, Anglia Ruskin University, Cambridge, UK. gabriele.strusi@aru.ac.uk.ORCID http://orcid.org/0000-0002-7022-2480
Caterina M Suelzu *Department of Life Sciences, Anglia Ruskin University, Cambridge, UK.ORCID http://orcid.org/0000-0003-2869-1491
Justin StebbingDepartment of Life Sciences, Anglia Ruskin University, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innovative three-dimensional (3D) systems have become a focus of research due to their ability to better mimic cell-cell and cell-extracellular matrix interactions. Current advances in 3D modelling have the potential to transform pre-clinical research by providing a more biologically relevant recapitulation of the in vivo cell environment. Among the published 3D platforms there is a lack of adipose tissue and cancer complex models. Primarily thought to function in triglyceride storage, protection and heat production, adipose tissue is now recognised as a complex and dynamic endocrine organ that secretes factors such as free fatty acids and adipokines, which have been shown to play a role in carcinogenesis. Obesity, a major cause of adipose tissue dysfunction, has also been strongly linked to the development of several types of cancer. 3D model technologies offer an innovative way to investigate adipose tissue-cancer crosstalk by mimicking in vivo conditions. This review aims to present a perspective on the adipose tissue-cancer dynamics and provide an overview of the current 3D models used to reliably reproduce the adipose tissue-cancer interaction in vitro.

Indexed as

Adipose TissueCarcinogenesisCell Culture Techniques, Three DimensionalNeoplasmsAdipokinesCell CommunicationExtracellular MatrixFatty Acids, NonesterifiedHumansObesityTriglyceridesAdipokinesFatty Acids, NonesterifiedTriglycerides

Identifiers

PMID41708953
PMCPMC12953150

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.