Evidence map›Paper›PMID 38201591›Full record

ArticleCancers2023

Enhanced Biomimetics of Three-Dimensional Osteosarcoma Models: A Scoping Review.

Vinesh Sandhu, Deniz Bakkalci, Siyi Wei, Umber Cheema

Abstract readScoping Review
In one paragraph

Article in Cancers, 2023. 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. Article
  2. Review
  3. Review
  4. Article
  5. 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

4 authors.

Vinesh SandhuDivision of Medicine, UCL Medical School, University College London (UCL), 74 Huntley Street, London WC1E 6DE, UK.ORCID 0000-0002-4777-5052
Deniz BakkalciUCL Centre for 3D Models of Health and Disease, Division of Surgery and Interventional Science, University College London (UCL), Charles Bell House, 43-45 Foley Street, London W1W 7TS, UK.
Siyi WeiUCL Centre for 3D Models of Health and Disease, Division of Surgery and Interventional Science, University College London (UCL), Charles Bell House, 43-45 Foley Street, London W1W 7TS, UK.
Umber CheemaUCL Centre for 3D Models of Health and Disease, Division of Surgery and Interventional Science, University College London (UCL), Charles Bell House, 43-45 Foley Street, London W1W 7TS, UK.ORCID 0000-0002-4366-3897

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This scoping review evaluated 3D osteosarcoma (OS) models' biomimicry, examining their ability to mimic the tumour microenvironment (TME) and their drug sensitivity. Adhering to PRISMA-ScR guidelines, the systematic search revealed 293 studies, with 70 selected for final analysis. Overall, 64% of 3D OS models were scaffold-based, compared to self-generated spheroid models. Scaffolds generated using native matrix were most common (42%) with collagen I/hydroxyapatite predominating. Both scaffold-based and scaffold-free models were used equally for drug screening. The sensitivity of cancer cells in 3D was reported to be lower than that of cells in 2D in ~90% of the drug screening studies. This correlates with the observed upregulation of drug resistance. OS cells cultured in extracellular matrix (ECM)-mimetic scaffolds and native biomaterials were more resistant than cells in 2D. Co-cultures of OS and stromal cells in 3D models enhanced osteogenic differentiation, ECM remodelling, mineralisation, and angiogenesis, suggesting that tumour-stroma crosstalk promotes disease progression. Seven studies demonstrated selective toxicity of chemotherapeutics towards OS cells while sparing stromal cells, providing useful evidence for developing biomimetic tumour-stroma models to test selective drug toxicity. In conclusion, this review highlights the need to enhance biomimicry in 3D OS models for TME recapitulation, especially in testing novel therapeutics. Future research should explore innovative 3D biomimetic models, biomaterials, and advancements in personalised medicine.

Indexed as

3D modelbiomimicrydrug screeningosteosarcomastromal cellstissue engineeringtumour microenvironment

Identifiers

PMID38201591
PMCPMC10778420

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.