Evidence map›Paper›PMID 41760601›Full record

ArticleCell death discovery2026

Using 3D Invasion properties of RCC Cell Lines In Vitro to predict their Metastatic Potential In Vivo.

Beatrice Cesana, Laurie Nemoz-Billet, Valentin Azemard, Catherine Pillet, Laurent Guyon, Estelle Bigot, Nicolas Chaumontel, Jean Luc Descotes, Naël Osmani, Jacky G Goetz and 2 more

Abstract read
In one paragraph

Article in Cell death discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Beatrice CesanaInterdisciplinary Research Institute of Grenoble, IRIG-Biosanté, University Grenoble Alpes, CEA, INSERM UMR 1292, F-38000, Grenoble, France.
Laurie Nemoz-BilletTumor Biomechanics Lab INSERM UMR_S1109 Strasbourg France, Université de Strasbourg France, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Équipe Labellisée Ligue Contre le Cancer Strasbourg France, Grenoble, France.
Valentin AzemardInterdisciplinary Research Institute of Grenoble, IRIG-Biosanté, University Grenoble Alpes, CEA, INSERM UMR 1292, F-38000, Grenoble, France.
Catherine PilletInterdisciplinary Research Institute of Grenoble, IRIG-Biosanté, University Grenoble Alpes, CEA, INSERM UMR 1292, F-38000, Grenoble, France.
Laurent GuyonInterdisciplinary Research Institute of Grenoble, IRIG-Biosanté, University Grenoble Alpes, CEA, INSERM UMR 1292, F-38000, Grenoble, France.
Estelle BigotInterdisciplinary Research Institute of Grenoble, IRIG-Biosanté, University Grenoble Alpes, CEA, INSERM UMR 1292, F-38000, Grenoble, France.
Nicolas ChaumontelInterdisciplinary Research Institute of Grenoble, IRIG-Biosanté, University Grenoble Alpes, CEA, INSERM UMR 1292, F-38000, Grenoble, France.
Jean Luc DescotesCentre Hospitalier Universitaire Grenoble Alpes, CS 10217, CEDEX 9, F-38043, Grenoble, France.
Naël OsmaniTumor Biomechanics Lab INSERM UMR_S1109 Strasbourg France, Université de Strasbourg France, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Équipe Labellisée Ligue Contre le Cancer Strasbourg France, Grenoble, France.
Jacky G GoetzTumor Biomechanics Lab INSERM UMR_S1109 Strasbourg France, Université de Strasbourg France, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Équipe Labellisée Ligue Contre le Cancer Strasbourg France, Grenoble, France.
Claude CochetInterdisciplinary Research Institute of Grenoble, IRIG-Biosanté, University Grenoble Alpes, CEA, INSERM UMR 1292, F-38000, Grenoble, France.
Odile FilholInterdisciplinary Research Institute of Grenoble, IRIG-Biosanté, University Grenoble Alpes, CEA, INSERM UMR 1292, F-38000, Grenoble, France. odile.filhol-cochet@cea.fr.ORCID http://orcid.org/0000-0003-1964-7958

Funding

Fondation pour la Recherche Médicale (Foundation for Medical Research in France) FellowshipInstitut National Du Cancer (French National Cancer Institute) PLBIO23-255
6 · The paper itself

Abstract

Renal cell carcinoma (RCC) exhibits significant heterogeneity, making it challenging to predict tumor aggressiveness and therapeutic response. To improve prognostic accuracy and develop tailored treatment strategies, it is crucial to mimic both cancer cells and their microenvironment in vitro. Using a combination of in vitro and in vivo models, we investigated the invasive properties of three RCC cell lines, RCC10, RCC7 and 786-O, that displayed distinct signaling profiles, combining EMT characteristics and upregulation of key metastatic markers. Our findings revealed that RCC7 and 786-O exhibited greater metastatic potential than RCC10, as demonstrated by increased extravasation in zebrafish embryos and higher lung metastases in the chorioallantoic membrane (CAM) and mice models. Comparative pathway analysis indicated that RCC7 displays partial epithelial-mesenchymal transition (pEMT) characteristics and upregulates key metastatic markers. Furthermore, our 3D spheroid invasion model as well as our patient-derived RCC tumoroid system predicted accurately their metastatic behavior, closely mirroring their aggressiveness in vivo. Thus, these 3D models might be predictive of tumor outcome, underscoring their utility as reliable predictive tools for RCC progression and therapeutic response.

Identifiers

PMID41760601
PMCPMC13031655

What OpenQuestion holds

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LicenceCC BY
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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.