Evidence map›Paper›PMID 40449994›Full record

ArticleCell death discovery2025

Melanoma innervation, noradrenaline and cancer progression in zebrafish xenograft model.

Francesca Lorenzini, Johanna Marines, Julien Le Friec, Nam Do Khoa, Maria Angela Nieto, Berta Sanchez-Laorden, Maria Caterina Mione, Laura Fontenille, Karima Kissa

Abstract read
In one paragraph

Article in Cell death discovery, 2025. 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. 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

9 authors.

Francesca LorenziniAZELEAD, 377 Rue du Professeur Blayac, Montpellier, France.ORCID http://orcid.org/0000-0002-1843-0151
Johanna MarinesAZELEAD, 377 Rue du Professeur Blayac, Montpellier, France.
Julien Le FriecAZELEAD, 377 Rue du Professeur Blayac, Montpellier, France.ORCID http://orcid.org/0000-0002-3232-0469
Nam Do KhoaAZELEAD, 377 Rue du Professeur Blayac, Montpellier, France.
Maria Angela NietoInstituto de Neurociencias CSIC-UMH, San Juan de Alicante, Spain.ORCID http://orcid.org/0000-0002-3538-840X
Berta Sanchez-LaordenInstituto de Neurociencias CSIC-UMH, San Juan de Alicante, Spain.ORCID http://orcid.org/0000-0002-6499-6332
Maria Caterina MioneDepartment of Cellular, Computational, and Integrative Biology (CIBIO) University of Trento, Trento, Italy.ORCID http://orcid.org/0000-0002-9040-3705
Laura FontenilleAZELEAD, 377 Rue du Professeur Blayac, Montpellier, France.
Karima KissaAZELEAD, 377 Rue du Professeur Blayac, Montpellier, France. karima.kissa-marin@inserm.fr.ORCID http://orcid.org/0000-0002-7683-3661

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) NEUcrest-ITN Project- 860635
6 · The paper itself

Abstract

The tumor microenvironment, including the peripheral nervous system, plays a key role in regulating tumor biology, from initiation to cancer progression. Here, by modeling aggressive melanoma in larval zebrafish xenografts, we shed light on the dynamics of tumor innervation in the tumor microenvironment (TME). Axonogenesis and dendritogenesis were detected in the neurons surrounding the melanoma niche and neurogenesis was observed in the nearby population of the enteric nervous system. We also demonstrate the crucial role of noradrenaline in promoting melanoma progression with the dissemination and invasion of cancer cells to distant tissues. This zebrafish model will allow to uncover neural markers associated with melanoma progression to help in the design of innovative anti-neurogenic therapies targeting specifically the neuronal signals that regulate melanoma progression.

Identifiers

PMID40449994
PMCPMC12126511

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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.