Evidence map›Paper›PMID 39329875›Full record

ArticleDiseases (Basel, Switzerland)2024

A 3D Bio-Printed-Based Model for Pancreatic Ductal Adenocarcinoma.

Claire Godier, Zakaria Baka, Laureline Lamy, Varvara Gribova, Philippe Marchal, Philippe Lavalle, Eric Gaffet, Lina Bezdetnaya, Halima Alem

Abstract read
In one paragraph

Article in Diseases (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Biomimetic Scaffold-Based 3D Models for Decoding Cancer Biology and Advancing Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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.

Claire GodierIJL, CNRS, Université de Lorraine, 54000 Nancy, France.
Zakaria BakaIJL, CNRS, Université de Lorraine, 54000 Nancy, France.
Laureline LamyCRAN, CNRS, Université de Lorraine, 54506 Vandœuvre-lès-Nancy, France.
Varvara GribovaInstitut National de la Santé et de la Recherche Médicale (INSERM) U1121, Biomaterials and Bioengineering, 1 rue Eugène Boeckel, 67100 Strasbourg, France.ORCID 0000-0002-5175-2072
Philippe MarchalLRGP, CNRS, Université de Lorraine, 54000 Nancy, France.
Philippe LavalleInstitut National de la Santé et de la Recherche Médicale (INSERM) U1121, Biomaterials and Bioengineering, 1 rue Eugène Boeckel, 67100 Strasbourg, France.
Eric GaffetIJL, CNRS, Université de Lorraine, 54000 Nancy, France.ORCID 0000-0002-6451-3011
Lina BezdetnayaCRAN, CNRS, Université de Lorraine, 54506 Vandœuvre-lès-Nancy, France.
Halima AlemIJL, CNRS, Université de Lorraine, 54000 Nancy, France.ORCID 0000-0002-7918-0504

Funding

French PIA project "Lorraine Université d'Excellence" ANR-15-IDEX-04-LUEInstitut Universitaire de France 2019
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a disease with a very poor prognosis, characterized by incidence rates very close to death rates. Despite the efforts of the scientific community, preclinical models that faithfully recreate the PDAC tumor microenvironment remain limited. Currently, the use of 3D bio-printing is an emerging and promising method for the development of cancer tumor models with reproducible heterogeneity and a precisely controlled structure. This study presents the development of a model using the extrusion 3D bio-printing technique. Initially, a model combining pancreatic cancer cells (Panc-1) and cancer-associated fibroblasts (CAFs) encapsulated in a sodium alginate and gelatin-based hydrogel to mimic the metastatic stage of PDAC was developed and comprehensively characterized. Subsequently, efforts were made to vascularize this model. This study demonstrates that the resulting tumors can maintain viability and proliferate, with cells self-organizing into aggregates with a heterogeneous composition. The utilization of 3D bio-printing in creating this tumor model opens avenues for reproducing tumor complexity in the future, offering a versatile platform for improving anti-cancer therapy models.

Indexed as

3D bio-printingco-culturepancreatic ductal adenocarcinoma

Identifiers

PMID39329875
PMCPMC11431387

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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.