Modeling high-risk Wilms tumors enables the discovery of therapeutic vulnerability

Wilms tumor (WT) is the most common pediatric kidney cancer treated with standard chemotherapy. However, less-differentiated blastemal type of WT often relapses. To model the high-risk WT for therapeutic intervention, we introduce pluripotency factors into WiT49, a mixed-type WT cell line, to generate partially reprogrammed cells, namely WiT49-PRCs. When implanted into the kidney capsule in mice, WiT49-PRCs form kidney tumors and develop both liver and lung metastases, whereas WiT49 tumors do not metastasize. Histological characterization and gene expression signatures demonstrate that WiT49-PRCs recapitulate blastemal-predominant WTs. Moreover, drug screening in isogeneic WiT49 and WiT49-PRCs leads to the identification of epithelial- or blastemal-predominant WT-sensitive drugs, whose selectivity is validated in patient-derived xenografts (PDXs). Histone deacetylase (HDAC) inhibitors (e.g., panobinostat and romidepsin) are found universally effective across different WT and more potent than doxorubicin in PDXs. Taken together, WiT49-PRCs serve as a blastemal-predominant WT model for therapeutic intervention to treat patients with high-risk WT.

Authors

Institutions

Publication Details

Journal
Cell Reports Medicine
Published
2024-10-01
DOI
https://doi.org/10.1016/j.xcrm.2024.101770
Citations
6
Primary Topic
Renal and related cancers
Type
article
Field-Weighted Citation Impact
1.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling high-risk Wilms tumors enables the discovery of therapeutic vulnerability

Ang Gao, Wan‐Ju Li, Peng Fei Liu, Herman Yeger et al.
6 citations
Cell Reports Medicine
Renal and related cancers
1.40
article

Modeling high-risk Wilms tumors enables the discovery of therapeutic vulnerability

Ang Gao, Wan‐Ju Li, Peng Fei Liu, Herman Yeger, Wei Xu, Hau D. Le, Xiang Chen, Yidan Wang, Gui Ma, Jiani Chen, Rakesh Sarda, Jessica Gulliver, Carstyn Joiner, Mingshan Hu, Eui-Jun Kim
article en
6 citations

Abstract

Wilms tumor (WT) is the most common pediatric kidney cancer treated with standard chemotherapy. However, less-differentiated blastemal type of WT often relapses. To model the high-risk WT for therapeutic intervention, we introduce pluripotency factors into WiT49, a mixed-type WT cell line, to generate partially reprogrammed cells, namely WiT49-PRCs. When implanted into the kidney capsule in mice, WiT49-PRCs form kidney tumors and develop both liver and lung metastases, whereas WiT49 tumors do not metastasize. Histological characterization and gene expression signatures demonstrate that WiT49-PRCs recapitulate blastemal-predominant WTs. Moreover, drug screening in isogeneic WiT49 and WiT49-PRCs leads to the identification of epithelial- or blastemal-predominant WT-sensitive drugs, whose selectivity is validated in patient-derived xenografts (PDXs). Histone deacetylase (HDAC) inhibitors (e.g., panobinostat and romidepsin) are found universally effective across different WT and more potent than doxorubicin in PDXs. Taken together, WiT49-PRCs serve as a blastemal-predominant WT model for therapeutic intervention to treat patients with high-risk WT.

Cell Reports MedicineVol. 5(10)
St. Jude Children's Research Hospital (US), University of Wisconsin–Madison (US), University of Wisconsin Carbone Cancer Center (US), SickKids Foundation (CA), Wisconsin Division of Public Health (US)
Foundation for the National Institutes of Health, University of Wisconsin-Madison, St. Jude Children's Research Hospital, University of Wisconsin Carbone Cancer Center
Openalex Percentile: Top 19%
Renal and related cancers
1.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.