Drug repurposing via high throughput 3D spheroids screening in rare cancer treatment

Rare cancers comprise over 200 distinct types and account for 20–25% of U.S. cancer diagnoses yet receive limited therapeutic investment due to small patient populations and resource constraints. Drug repurposing offers a viable strategy, and large-animal models such as minipigs provide physiologically realistic platforms for preclinical evaluation. However, scalable systems for systematically screening large drug libraries in rare cancer models remain unavailable. We developed an integrated pipeline combining a minipig spinal cord glioma (SCG) model with miniaturized high-throughput screening (HTS). Primary SCG cells were cultured in 3D platforms for rapid screening of bioactive compounds. Lead candidates underwent validation through 3D spheroid assays, in vivo xenografting, RNA sequencing, immunohistochemistry, and histological analysis. Human SCG tissue samples and population-level datasets assessed translational relevance. HTS screening identified Clofoctol as a lead compound with potent glioma growth inhibition in both primary SCG cells and xenograft models. Studies revealed pleiotrophin (PTN) as a key target, with expression patterns in human SCG samples, establishing association and potential translational validity. Integration of large-animal cancer models with drug-repurposing pipelines and HTS platforms is feasible and effective for rare cancer drug discovery. This approach successfully identified Clofoctol, an FDA-approved compound with therapeutic potential for spinal cord gliomas and establishes a scalable model applicable to other orphan cancers.

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Publication Details

Journal
Scientific Reports
Published
2026-10-27
DOI
https://doi.org/10.1038/s41598-026-76779-0
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Drug repurposing via high throughput 3D spheroids screening in rare cancer treatment

Thais Federici, Yuhong Du, Kecheng Lei, Stewart G. Neill et al.
2 links
Scientific Reports
Computational Drug Discovery Methods
article

Drug repurposing via high throughput 3D spheroids screening in rare cancer treatment

Thais Federici, Yuhong Du, Kecheng Lei, Stewart G. Neill, Kimberly Bojanowski Hoang, Nicholas M. Boulis, Muhibullah S. Tora, Daniel Jay Brat, Marybeth G. Yonk, Bing Yao, Hannah Nuszen, Yangping Li, Yilin Wang, Megan A. Lim
article en

Abstract

Rare cancers comprise over 200 distinct types and account for 20–25% of U.S. cancer diagnoses yet receive limited therapeutic investment due to small patient populations and resource constraints. Drug repurposing offers a viable strategy, and large-animal models such as minipigs provide physiologically realistic platforms for preclinical evaluation. However, scalable systems for systematically screening large drug libraries in rare cancer models remain unavailable. We developed an integrated pipeline combining a minipig spinal cord glioma (SCG) model with miniaturized high-throughput screening (HTS). Primary SCG cells were cultured in 3D platforms for rapid screening of bioactive compounds. Lead candidates underwent validation through 3D spheroid assays, in vivo xenografting, RNA sequencing, immunohistochemistry, and histological analysis. Human SCG tissue samples and population-level datasets assessed translational relevance. HTS screening identified Clofoctol as a lead compound with potent glioma growth inhibition in both primary SCG cells and xenograft models. Studies revealed pleiotrophin (PTN) as a key target, with expression patterns in human SCG samples, establishing association and potential translational validity. Integration of large-animal cancer models with drug-repurposing pipelines and HTS platforms is feasible and effective for rare cancer drug discovery. This approach successfully identified Clofoctol, an FDA-approved compound with therapeutic potential for spinal cord gliomas and establishes a scalable model applicable to other orphan cancers.

Scientific Reports
Northwestern University (US), Georgia Institute of Technology (US), Emory University (US), University of Illinois Urbana-Champaign (US), University of Alabama at Birmingham (US), Northwestern Medicine (US), Robert H. Lurie Comprehensive Cancer Center of Northwestern University (US)
Emory University, Georgia Clinical and Translational Science Alliance, National Institute for Health and Care Research, National Institutes of Health, Winship Cancer Institute, National Cancer Institute
Good health and well-being
Openalex Percentile: Top 14%
Computational Drug Discovery Methods
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