← BioTransfer GEO Dataset Finder
GEO series

Modeling high-risk blastemal and metastatic Wilms tumors by reprogramming WiT49 cells

GSE246479 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2024/11/06 Platform GPL18573
Summary
Wilms' tumor (WT) is the most common pediatric kidney cancer with more than a 90% overall survival rate in response to standard chemotherapy. However, less-differentiated blastemal type of WT often metastasize and relapse. To remodel the high-risk WT for therapeutic intervention, we partially reprogrammed WIT49, a mixed type of WT cell line, to iPSCs, which we termed as WiT49-PRCs (Partial reprogrammed iPSCs). WiT49-PRCs express stem cell markers. When implanted into the kidney capsule in mice, WiT49-PRCs formed kidney tumors and developed both liver and lung metastases, whereas WiT49 tumors do not metastasize. Histological characterization and gene expression signatures demonstrated that WiT49-PRC recapitulates blastema-dominant WTs. Moreover, screening FDA-approved drugs in isogeneic WiT49 and WiT49-PRC cells led to the identification of epithelial- or blastemal-dominant WT-sensitive drugs. A subset of drugs was discovered with selectivity towards blastemal WT patient derived xenografts (PDXs). HDAC inhibitors (e.g. panobinostat and romedipsin) were found universally effective across different WT and more potent than doxorubicin in PDXs. Taken together, WiT49-PRC serves as a blastemal-dominant WT model for therapeutic intervention to improve the treatment of high-risk WT patients.
Published in
Modeling high-risk Wilms tumors enables the discovery of therapeutic vulnerability
Ma G, Gao A, Chen J et al. · Cell reports. Medicine 2024 · PMID 39368485 · doi:10.1016/j.xcrm.2024.101770
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE246479_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1033180 and SRA study SRP468953. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.