Evidence map›Paper›PMID 40784241›Full record

ReviewCurrent opinion in cell biology2025

Mechanisms of cellular fitness and cell competition: Towards an integrated view.

Jules Lavalou, Karyna Kulakova, Yogaspoorthi J Subramaniam, Eugenia Piddini

Abstract readReview
In one paragraph

Review in Current opinion in cell biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. The Dynamic Alliance of p53 and Metabolism in the Tumor Microenvironment Shapes Tumor Evolution.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  3. 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

4 authors.

Jules LavalouSchool of Cellular and Molecular Medicine, University of Bristol, Biomedical Sciences Building, University Walk, Bristol BS8 1TD, UK.
Karyna KulakovaSchool of Cellular and Molecular Medicine, University of Bristol, Biomedical Sciences Building, University Walk, Bristol BS8 1TD, UK.
Yogaspoorthi J SubramaniamSchool of Cellular and Molecular Medicine, University of Bristol, Biomedical Sciences Building, University Walk, Bristol BS8 1TD, UK.
Eugenia PiddiniSchool of Cellular and Molecular Medicine, University of Bristol, Biomedical Sciences Building, University Walk, Bristol BS8 1TD, UK. Electronic address: eugenia.piddini@bristol.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell competition is a fundamental mechanism of tissue quality control that enables the selective elimination of less fit, mis-specified, diseased or aged cells. By shaping tissue composition, it plays a critical role in development, organismal health and a wide range of physiological and pathological contexts, including cancer. As its biological significance continues to grow, elucidating the molecular mechanisms underlying cell competition is essential for advancing our understanding of tissue biology, disease progression and future therapeutic strategies. In this review, we highlight recently identified, evolutionarily conserved pathways that govern cell competition through metabolites and systemic signals, proteostasis and mechanical exchange. By integrating findings across species and pathways, we reveal how these distinct mechanisms may intersect and coordinate to determine competitive outcomes, providing a conceptual framework to inform and guide future research.

Indexed as

Cell CompetitionAnimalsHumansProteostasisSignal Transduction

Identifiers

PMID40784241
PMCPMC7618938

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.