Log in

3D Models of Sarcomas: The Next-generation Tool for Personalized Medicine

  • Review
  • Published:
Phenomics Aims and scope Submit manuscript

Abstract

Sarcoma is a complex and heterogeneous cancer that has been difficult to study in vitro. While two-dimensional (2D) cell cultures and mouse models have been the dominant research tools, three-dimensional (3D) culture systems such as organoids have emerged as promising alternatives. In this review, we discuss recent developments in sarcoma organoid culture, with a focus on their potential as tools for drug screening and biobanking. We also highlight the ways in which sarcoma organoids have been used to investigate the mechanisms of gene regulation, drug resistance, metastasis, and immune interactions. Sarcoma organoids have shown to retain characteristics of in vivo biology within an in vitro system, making them a more representative model for sarcoma research. Our review suggests that sarcoma organoids offer a potential path forward for translational research in this field and may provide a platform for develo** personalized therapies for sarcoma patients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data Availability

Not applicable.

Code Availability

Not applicable.

Abbreviations

3D:

Three-dimensional

2D:

Two-dimensional

OS:

Osteosarcoma

TME:

Tumor microenvironment

PDX:

Patient-derived xenografts

PDO:

Patient-derived organoid

STS:

Soft tissue sarcomas

ICB:

Immune checkpoint blockade

References

Download references

Acknowledgements

This work was supported by grants from the National Natural Science Foundation of China (81902745, 82172500, 82103228, 82272664), Hunan Provincial Research and Development Program in Key Areas (2020DK2003).

Author information

Authors and Affiliations

Authors

Contributions

ZHL and XLR contributed to the conception and made final approval of the version, RLX performed the study concept and design and wrote the manuscript. RQC, TC, XFG, ZYL and LM helped with data analysis. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to **aolei Ren or Zhihong Li.

Ethics declarations

Conflict of Interest

The authors declare no conflict.

Ethical Approval

Not applicable.

Consent to Participate

Not applicable.

Consent for Publication

Not applicable.

Institutional Review Board Statement

Not applicable.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, R., Chen, R., Tu, C. et al. 3D Models of Sarcomas: The Next-generation Tool for Personalized Medicine. Phenomics 4, 171–186 (2024). https://doi.org/10.1007/s43657-023-00111-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s43657-023-00111-3

Keywords

Navigation