Evidence map›Paper›PMID 42458039›Full record

ReviewCommunications biology2026

Next-generation osteosarcoma models for precision medicine.

Mohamed Saqawa, Miguel Vieira Coelho, Marta Lourenço, Claire Villette, David Barata, Lorenzo Apolloni, Silvia Panseri, A S Silva-Barroso, Rafaela Seabra, Diana Pacheco and 7 more

Abstract readReview
In one paragraph

Review in Communications biology, 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

17 authors.

Mohamed Saqawa *National Research Council (CNR), Institute of Science, Technology and Sustainability for Ceramics (ISSMC), Faenza, Italy.
Miguel Vieira Coelho *Centre for Rapid and Sustainable Product Development - Polytechnic of Leiria, Marinha Grande, Portugal.ORCID 0000-0002-3388-6042
Marta LourençoCentre for Rapid and Sustainable Product Development - Polytechnic of Leiria, Marinha Grande, Portugal.
Claire VilletteBiomechanics Research Unit Department, Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
David BarataDepartment of Complex Tissue Regeneration, MERLN Institute for Technology-Inspired Regenerative Medicine, Faculty of Health Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands.
Lorenzo ApolloniNational Research Council (CNR), Institute of Science, Technology and Sustainability for Ceramics (ISSMC), Faenza, Italy.ORCID 0009-0008-3341-0424
Silvia PanseriNational Research Council (CNR), Institute of Science, Technology and Sustainability for Ceramics (ISSMC), Faenza, Italy.
A S Silva-BarrosoCentre for Rapid and Sustainable Product Development - Polytechnic of Leiria, Marinha Grande, Portugal.
Rafaela SeabraCentre for Rapid and Sustainable Product Development - Polytechnic of Leiria, Marinha Grande, Portugal.
Diana PachecoCentre for Rapid and Sustainable Product Development - Polytechnic of Leiria, Marinha Grande, Portugal.
Nuno AlvesCentre for Rapid and Sustainable Product Development - Polytechnic of Leiria, Marinha Grande, Portugal.ORCID 0000-0002-5016-0868
Paula FariaCentre for Rapid and Sustainable Product Development - Polytechnic of Leiria, Marinha Grande, Portugal.
Bernard StaumontBiomechanics Research Unit Department, Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
Liesbet GerisBiomechanics Research Unit Department, Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
Carlos MotaDepartment of Complex Tissue Regeneration, MERLN Institute for Technology-Inspired Regenerative Medicine, Faculty of Health Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands.ORCID 0000-0001-5935-6245
Monica MontesiNational Research Council (CNR), Institute of Science, Technology and Sustainability for Ceramics (ISSMC), Faenza, Italy. monica.montesi@issmc.cnr.it.ORCID 0000-0002-9192-8554
Tatiana M Fernandes PatrícioCentre for Rapid and Sustainable Product Development - Polytechnic of Leiria, Marinha Grande, Portugal. tatianamfp@gmail.com.ORCID 0000-0003-0672-9014

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS) is a highly aggressive bone malignancy that predominantly affects adolescents and young adults. Despite the progress in conventional treatment approaches, such as surgery and chemotherapy, patient outcomes remain poor due to OS metastatic potential, chemoresistance and frequent recurrence. Although recent advancements in novel therapeutic strategies, such as molecular inhibitors, gene-based interventions, alongside immuno- and radiotherapies, have emerged in recent years, OS is still not well understood due to its complexity and heterogeneity. Tissue engineering and predictive preclinical models offer a good toolbox to study OS and produce patient-tailored therapeutic protocols. This review discusses the recent development of tissue engineering-based strategies and OS mimicking preclinical models like 3D in vitro models, organ-on-chip technologies, and predictive computational (in silico) models, ranging from mechanistic (white-box) to data-driven (black-box) and hybrid (grey-box) approaches. Based on these recent developments, researchers can better replicate the native OS tumour microenvironment, which opens the doors to a more representative high-throughput drug screening tools and patient-tailored treatment strategies.

Indexed as

Bone NeoplasmsOsteosarcomaPrecision MedicineAnimalsHumansMicrophysiological SystemsModels, BiologicalTissue EngineeringTumor Microenvironment

Identifiers

PMID42458039
PMCPMC13373180

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.