Evidence map›Paper›PMID 41199217›Full record

ReviewBiomedical engineering online2025

3D bioprinted melanoma models: a novel paradigm for the assessment of anticancer strategies combining PDT and drug delivery systems.

Stéphanie Rochetti do Amaral, Aleksandar Plamenov Atanasov, Débora Caroline Marques de Souza, Isabelle Freitas de Paiva, Matheus Liberato Ferreira, Liam Michael Grover, Fernando Lucas Primo

Abstract readReview
In one paragraph

Review in Biomedical engineering online, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
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

7 authors.

Stéphanie Rochetti do Amaral *Department of Bioprocess and Biotechnology Engineering, School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, SP, 14800-903, Brazil. stephanie.amaral@unesp.br.ORCID http://orcid.org/0000-0003-2844-2604
Aleksandar Plamenov Atanasov *School of Chemical Engineering, University of Birmingham, Birmingham, B15 2TT, UK.
Débora Caroline Marques de SouzaDepartment of Bioprocess and Biotechnology Engineering, School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, SP, 14800-903, Brazil.
Isabelle Freitas de PaivaDepartment of Bioprocess and Biotechnology Engineering, School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, SP, 14800-903, Brazil.
Matheus Liberato FerreiraDepartment of Bioprocess and Biotechnology Engineering, School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, SP, 14800-903, Brazil.
Liam Michael GroverSchool of Chemical Engineering, University of Birmingham, Birmingham, B15 2TT, UK.
Fernando Lucas PrimoDepartment of Bioprocess and Biotechnology Engineering, School of Pharmaceutical Sciences, São Paulo State University (UNESP), Araraquara, SP, 14800-903, Brazil. fernando.primo@unesp.br.ORCID http://orcid.org/0000-0001-6293-4157

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 310849/2023-3Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2024/00260-7Fundação de Amparo à Pesquisa do Estado de São Paulo 2024/00951-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2024/18204-6
6 · The paper itself

Abstract

Malignant melanoma remains the most aggressive type of skin cancer, leading to a high rate of associated death over the past decade, often exhibiting resistance to conventional therapies and presenting significant challenges for preclinical testing. In this instance, the complexity of the progression and the interaction within the tumor microenvironment highlight the necessity for advanced models. Traditional 2D cultures and standard 3D systems, such as spheroids and organoids, fail to fully replicate native skin architecture and lack reproducibility, vascularization, and immune integration. Recent advances in 3D bioprinting have enabled the development of melanoma models that more accurately mimic human skin by incorporating multiple cell types, extracellular matrix components, and spatial control. These models support the evaluation of innovative therapies, including nanocarrier-based drug delivery systems and photodynamic therapy (PDT). This review discusses the evolution of in vitro melanoma modeling, highlighting the role of bioprinting technologies and bioink design within this setting, and investigates emerging applications in PDT and drug delivery systems, assessing the advances and current challenges in the context of melanoma.

Indexed as

Antineoplastic AgentsBioprintingDrug Delivery SystemsMelanomaModels, BiologicalPhotochemotherapyPrinting, Three-DimensionalSkin NeoplasmsAnimalsHumansAntineoplastic Agents3D bioprinted models3D bioprintingDrug delivery systemsMalignant melanomaPhotodynamic therapyTissue engineering

Identifiers

PMID41199217
PMCPMC12593866

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.