Evidence map›Paper›PMID 35408789›Full record

ReviewInternational journal of molecular sciences2022

Current Advances in 3D Bioprinting for Cancer Modeling and Personalized Medicine.

Nicolas Germain, Melanie Dhayer, Salim Dekiouk, Philippe Marchetti

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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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

4 authors.

Nicolas GermainUMR 9020-UMR-S 1277-Canther-Cancer Heterogeneity, Plasticity and Resistance to Therapies, Institut de Recherche Contre le Cancer de Lille, University Lille, CNRS, Inserm, CHU Lille, F-59000 Lille, France.ORCID 0000-0003-0867-3245
Melanie DhayerUMR 9020-UMR-S 1277-Canther-Cancer Heterogeneity, Plasticity and Resistance to Therapies, Institut de Recherche Contre le Cancer de Lille, University Lille, CNRS, Inserm, CHU Lille, F-59000 Lille, France.
Salim DekioukUMR 9020-UMR-S 1277-Canther-Cancer Heterogeneity, Plasticity and Resistance to Therapies, Institut de Recherche Contre le Cancer de Lille, University Lille, CNRS, Inserm, CHU Lille, F-59000 Lille, France.
Philippe MarchettiUMR 9020-UMR-S 1277-Canther-Cancer Heterogeneity, Plasticity and Resistance to Therapies, Institut de Recherche Contre le Cancer de Lille, University Lille, CNRS, Inserm, CHU Lille, F-59000 Lille, France.ORCID 0000-0002-4663-6800

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor cells evolve in a complex and heterogeneous environment composed of different cell types and an extracellular matrix. Current 2D culture methods are very limited in their ability to mimic the cancer cell environment. In recent years, various 3D models of cancer cells have been developed, notably in the form of spheroids/organoids, using scaffold or cancer-on-chip devices. However, these models have the disadvantage of not being able to precisely control the organization of multiple cell types in complex architecture and are sometimes not very reproducible in their production, and this is especially true for spheroids. Three-dimensional bioprinting can produce complex, multi-cellular, and reproducible constructs in which the matrix composition and rigidity can be adapted locally or globally to the tumor model studied. For these reasons, 3D bioprinting seems to be the technique of choice to mimic the tumor microenvironment in vivo as closely as possible. In this review, we discuss different 3D-bioprinting technologies, including bioinks and crosslinkers that can be used for in vitro cancer models and the techniques used to study cells grown in hydrogels; finally, we provide some applications of bioprinted cancer models.

Indexed as

BioprintingNeoplasmsHumansHydrogelsPrecision MedicinePrinting, Three-DimensionalTissue EngineeringTissue ScaffoldsTumor MicroenvironmentHydrogels3D bioprinting3D printingbioinkcancercell biology

Identifiers

PMID35408789
PMCPMC8998835

What OpenQuestion holds

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LicenceCC BY
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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.