| Accession |
PRJCA021173 |
| Title |
Self-assembled Patient-Derived Tumor-Like Cell Clusters for Personalized Chemo- or Immuo-therapies in Non-Small-Cell Lung Cancer patients |
| Relevance |
Medical |
| Data types |
Single cell sequencing
|
| Organisms |
Homo sapiens
|
| Description |
Many patient-derived tumor models have emerged recently. However, their potential to guide personalized drug selection remains unclear. Here, we report a novel non-small cell lung cancer patient-derived tumor-like cell clusters (PTCs) that could accomplish 100-5,000 drug testing within 10 days. Over 270 PTC models have been established with an 81% success rate. PTCs contain primary tumor epithelium self-assembled with endogenous stromal cells, and show a high degree of similarity to the original tumors in phenotypic and genotypic features. More importantly, PTC drug-testing assays reveal an overall consistency of 89% in predicting the clinical outcomes of 51 recruited patients, and an accuracy of 98.1% in discriminating the complete/partial response group from the progressive disease group. CD8+ T cells assembled in PTCs show the heterogeneity in expansion and cytotoxicity responses upon the anti-PD1 treatment. Together, these data indicate that PTC is a promising in vitro preclinical model for personalized medicine and basic research. |
| Sample scope |
Single cell |
| Release date |
2024-01-08 |
| Publication |
| PubMed ID |
Article title |
Journal name |
DOI |
Year |
| 38593797
|
Patient-derived tumor-like cell clusters for personalized chemo-and immunotherapies in non-small cell lung cancer
|
Cell Stem Cell
|
10.1016/j.stem.2024.03.008
|
2024
|
|
|
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| National Natural Science Foundation of China (NSFC)
|
Major Program
|
81827809
|
|
|
|
| Submitter |
Jianzhong
Xi (jzxi@pku.edu.cn)
|
| Organization |
Peking University |
| Submission date |
2023-11-09 |
