Evidence map›Paper›PMID 40466636›Full record

ArticleCell genomics2025

Depletion of aneuploid cells is shaped by cell-to-cell interactions.

Elena Fusari, Mariana Muzzopappa, Juliette Gracia, Marco Milán

Abstract read
In one paragraph

Article in Cell genomics, 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. Article
  3. 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

4 authors.

Elena FusariInstitute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain.
Mariana MuzzopappaInstitute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain.
Juliette GraciaInstitute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain.
Marco MilánInstitute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluís Companys 23, 08010 Barcelona, Spain. Electronic address: marco.milan@irbbarcelona.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aneuploidy is pervasive in early human embryos but robustly dampened during development. Later in life, aneuploidy correlates with pathological conditions, including cancer. Identification of the mechanisms underlying the elimination of aneuploid cells is relevant in development and disease. We characterized the impact on cell proliferation and survival of a large collection of molecularly defined segmental monosomies and trisomies of different sizes and ranges of overlap. Our data reveal signs of outcompetition of cells carrying small monosomies in regions devoid of previously known haploinsufficient genes. Dose-dependent effects of single genes or a discrete number of genes contribute to the phenomenon of cell competition through different mechanisms. By simultaneously inducing cells carrying monosomies and trisomies of the same genomic location, we show that trisomies potentiate or alleviate the negative effects of monosomy on growth, thus revealing a key role of cell interactions in defining the in vivo elimination of aneuploid cells.

Indexed as

AneuploidyCell CommunicationCell ProliferationCell SurvivalHumansMonosomyTrisomyaneuploidycell competitioncell deathhaploinsufficiencyTORXrp1

Identifiers

PMID40466636
PMCPMC12366656

What OpenQuestion holds

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Registered trials

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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.