Self-assembled patient-derived tumor-like cell clusters for personalized drug testing in diverse sarcomas

Several patient-derived tumor models have emerged recently. However, soft tissue sarcomas (STSs) present a challenge in developing preclinical drug-testing models due to their non-epithelial and complex nature. Here, we report a model termed patient-derived tumor-like cell clusters (PTCs) derived from STS patients. PTCs result from the self-assembly and proliferation of mesenchymal stem cells (MSCs), epithelial cells, and immune cells, faithfully recapitulating the morphology and function of the original tumors. Through standardized culture and drug-response assessment protocols, PTCs facilitate personalized drug testing, evaluating hundreds of therapies within two weeks. Notably, PTCs exhibit 100% accuracy in distinguishing between complete or partial response and disease progression. We demonstrate the utility of PTCs in guiding chemotherapy selection for a patient with relapse and metastases following conventional therapy, who exhibited a positive response after non-conventional therapy identified through PTC. These findings underscore the potential of PTCs for prospective use in clinical decision-making regarding therapy selection.

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Publication Details

Journal
Cell Reports Medicine
Published
2025-03-01
DOI
https://doi.org/10.1016/j.xcrm.2025.101990
Citations
5
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
5.23
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article

Self-assembled patient-derived tumor-like cell clusters for personalized drug testing in diverse sarcomas

Xiongbing Hu, Shu Li, Shenyi Yin, Zhiwei Fang et al.
5 citations
Cell Reports Medicine
Cancer Cells and Metastasis
5.23
article

Self-assembled patient-derived tumor-like cell clusters for personalized drug testing in diverse sarcomas

Xiongbing Hu, Shu Li, Shenyi Yin, Zhiwei Fang, Hanshuo Zhang, Jianzhong Xi, Ruifeng Xue, Jiayong Liu, Yan‐Jie Shi, Zhichao Tan, Xinyu He, Buqing Ye, Jiaxin Li, Lu Zhang, Juan Li, Junyi Wang, Yanmin Wang, Yunfei Shi, Tian Gao, Fang Cao, Yang He, Lei Tang, Zhengfu Fan, Huinan Lu, Wenjun Fu, Chujie Bai, Mengmeng Liu, Xinyu Wang
article en
5 citations

Abstract

Several patient-derived tumor models have emerged recently. However, soft tissue sarcomas (STSs) present a challenge in developing preclinical drug-testing models due to their non-epithelial and complex nature. Here, we report a model termed patient-derived tumor-like cell clusters (PTCs) derived from STS patients. PTCs result from the self-assembly and proliferation of mesenchymal stem cells (MSCs), epithelial cells, and immune cells, faithfully recapitulating the morphology and function of the original tumors. Through standardized culture and drug-response assessment protocols, PTCs facilitate personalized drug testing, evaluating hundreds of therapies within two weeks. Notably, PTCs exhibit 100% accuracy in distinguishing between complete or partial response and disease progression. We demonstrate the utility of PTCs in guiding chemotherapy selection for a patient with relapse and metastases following conventional therapy, who exhibited a positive response after non-conventional therapy identified through PTC. These findings underscore the potential of PTCs for prospective use in clinical decision-making regarding therapy selection.

Cell Reports MedicineVol. 6(3)
Peking University (CN), Peking University Cancer Hospital (CN), Annoroad Gene Technology (China) (CN)
Good health and well-being
Openalex Percentile: Top 5%
Cancer Cells and Metastasis
5.23
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