Cortical organoid-derived models of the melanoma brain metastatic niche enable prioritization of cancer-targeting drugs

Effective systemic therapies against brain metastases are severely limited. To understand and target vulnerabilities of human metastases in a brain niche context, we developed reproducible melanoma brain metastasis (MBM) models for metastasis-integrating drug screening. We co-cultured A375 melanoma cells or tumor regional lymph node-derived disseminated cancer cells (DCCs) in close proximity with human induced pluripotent stem cell-derived cortical organoids (hCOs). In these, RNA sequencing revealed an upregulation of metastasis-associated features. First, A375 cells and DCCs were screened against an anti-cancer library containing 315 compounds. Hits were ranked by neurotoxicity, central nervous system permeation, and anti-DCC efficacy. Only a minority of hits effectively targeted A375-MBMs, with the first-in-class XPO1 inhibitor selinexor emerging as top hit. Selinexor also demonstrated efficacy in DCC-MBM models and low toxicity on hCOs, suggesting a promising therapeutic window in clinically applied doses. Collectively, the MBM model provides a tool for identifying candidate therapies counteracting metastatic progression.

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Publication Details

Journal
Cell Reports Methods
Published
2025-11-14
DOI
https://doi.org/10.1016/j.crmeth.2025.101236
Citations
2
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
3.25
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article

Cortical organoid-derived models of the melanoma brain metastatic niche enable prioritization of cancer-targeting drugs

Robert Zierold, Joachim Wegener, Jann Harberts, Manuel Alexander Friese et al.
2 citations
Cell Reports Methods
Glioma Diagnosis and Treatment
3.25
article

Cortical organoid-derived models of the melanoma brain metastatic niche enable prioritization of cancer-targeting drugs

Robert Zierold, Joachim Wegener, Jann Harberts, Manuel Alexander Friese, Patricia Muschong, Tobias Naber, Andrea Zaliani, Susanne Krasemann, Marcel S. Woo, Silvia Materna‐Reichelt, Christian Conze, Mario Mezler, Melanie Werner‐Klein, Malte Siegmund, Christoph A. Klein, Heiko Siegmund, Annika Wittich, Undine Haferkamp, Ole Pleß, Katja Evert, Arjen Weller, Robert H. Blick, Fatima-Zahra Rachad, Mark Walkenhorst, Nataša Stojanović Gužvić, Kim Krieg, Pia Kauven, Dominik Miltner
article en
2 citations

Abstract

Effective systemic therapies against brain metastases are severely limited. To understand and target vulnerabilities of human metastases in a brain niche context, we developed reproducible melanoma brain metastasis (MBM) models for metastasis-integrating drug screening. We co-cultured A375 melanoma cells or tumor regional lymph node-derived disseminated cancer cells (DCCs) in close proximity with human induced pluripotent stem cell-derived cortical organoids (hCOs). In these, RNA sequencing revealed an upregulation of metastasis-associated features. First, A375 cells and DCCs were screened against an anti-cancer library containing 315 compounds. Hits were ranked by neurotoxicity, central nervous system permeation, and anti-DCC efficacy. Only a minority of hits effectively targeted A375-MBMs, with the first-in-class XPO1 inhibitor selinexor emerging as top hit. Selinexor also demonstrated efficacy in DCC-MBM models and low toxicity on hCOs, suggesting a promising therapeutic window in clinically applied doses. Collectively, the MBM model provides a tool for identifying candidate therapies counteracting metastatic progression.

Cell Reports MethodsVol. 5(12)
Leibniz Institute of Virology (LIV) (DE), Universität Hamburg (DE), Fraunhofer Institute for Translational Medicine and Pharmacology (DE), University Medical Center Hamburg-Eppendorf (DE), Fraunhofer Institute for Toxicology and Experimental Medicine (DE), AbbVie (Germany) (DE), Hamburg Institut (Germany) (DE), University of Regensburg (DE)
Openalex Percentile: Top 7%
Glioma Diagnosis and Treatment
3.25
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