Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Engineering cell ring organoids for efficient establishment of patient-derived orthotopic xenotransplantation (r-PDOX) model in sarcoma.

Created on 19 Jun 2026

Authors

Yan Xu, Zhicheng Tong, Xian'an Li, Shuo Yang, Qiuwen Zhu, Zhengcheng He, Haotian Yang, Xiaowen Liang, Pan Chen, Hongwei Ouyang, Hongwei Wu

Published in

Biomaterials. Volume 335. Pages 124382. Jun 12, 2026. Epub Jun 12, 2026.

Abstract

Patient-derived orthotopic xenotransplantation (PDOX) models have recently emerged as a potential approach for experimental therapeutics and precision medicine in malignant disease. However, the clinical application of PDOX models was restricted by the varying success rate of the animal models, long generation time, limited number of patient tumor cells and distinct stromal environments. To address this critical barrier, we developed an innovative patient-derived cell ring organoid platform using scaffold-free tumor cell rings. By co-culturing primary sarcoma cells with human skin fibroblasts (HSFs), functional tumor microenvironment (TME) -incorporated organoids were generated within 48 h without exogenous matrices. These organoids enabled rapid establishment of orthotopic xenografts (r-PDOX) in ≤7 days with 100% engraftment efficiency while requiring 50% fewer cells than conventional methods. Crucially, integrated HSFs replicated desmoplastic stroma and vascular networks, preserving patient-specific molecular profiles (transcriptomic correlation r = 0.87) and biological processes. As a preliminary proof-of-concept, the r-PDOX models showed encouraging concordance with patient responses to first-line therapeutics, including ifosfamide and anlotinib, though validation in larger cohorts is required. This platform overcomes key limitations of existing sarcoma models - including cell leakage, phenotypic drift, and protracted timelines, offering a physiologically relevant tool for personalized therapy exploration. The platform represents a promising methodological foundation for rapid sarcoma preclinical modeling in the era of precision oncology.

PMID:
42314236
Bibliographic data and abstract were imported from PubMed on 19 Jun 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 7
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement