| Title | Single cell RNA-sequencing expression matrix of paired parental tumor and IPTOs or drug treated IPTOs |
|---|---|
| Description | Tumor organoids are important tools for cancer research but current models have drawbacks which limit its applications in clinic. Here we developed a fast, efficient and complex culture system (IPTO: individualized patient tumor organoid) which maintains the cellular and molecular pathology of human brain cancers. We showed that this model can be used to culture a wide range of human cancers in the central nervous system (CNS), including brain metastasis. Histology, epigenome and scRNA-seq analysis demonstrated that IPTOs model recapitulates cellular heterogeneity and molecular feature of parental tumors. Most importantly, we further showed that the IPTO model predicts patients drug responses in a prospective clinical study. We also showed that IPTO can be used to reveal drug response and resistance mechanisms. The IPTO model represents a major breakthrough in preclinic modeling of human cancers, which provides a clear path toward personalized cancer therapy. |
| Organism | Homo sapiens |
| Data Type | Expression Profiling |
| Data Accessibility | Open-access |
| BioProject | PRJCA019518 |
| Release Date | 2025-02-12 |
| Submitter | Yonghe Wu (wuyh2@shanghaitech.edu.cn) |
| Organization | ShanghaiTech University |
| Submission Date | 2023-09-05 |
The data cannot be downloaded as it has not yet been registered in the Human Genetic Resource Management Platform of MOST.
| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download |
|---|---|---|---|---|---|---|
| OMIX004854-01 | Single cell RNA-sequencing expression matrix | 27 | Expression Profiling | 300.15 MB | zip | Unavailable |
| OMIX004854-02 | Wild type cerebral organoid (2 months) scRNA-seq data | 1 | Expression Profiling | 118.5 MB | zip | Unavailable |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|---|---|---|---|
| Individualized patient tumor organoids faithfully preserve human brain tumor ecosystems and predict patient response to therapy | Cell Stem Cell | 2025-02 | OMIX004854 OMIX004853 | Deposit |