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

  • Cell Rep Methods. 2025 Dec 15;5(12):101236. doi: 10.1016/j.crmeth.2025.101236.
Kim Krieg  1 Silvia Materna-Reichelt  2 Tobias Naber  3 Fatima-Zahra Rachad  1 Pia Kauven  1 Arjen Weller  1 Undine Haferkamp  1 Annika Wittich  1 Andrea Zaliani  1 Marcel S Woo  4 Mark Walkenhorst  4 Malte Siegmund  5 Jann Harberts  6 Robert Zierold  5 Robert Blick  5 Christian Conze  7 Patricia Muschong  8 Dominik Miltner  8 Manuel A Friese  4 Mario Mezler  8 Heiko Siegmund  9 Katja Evert  9 Susanne Krasemann  10 Nataša Stojanović Gužvić  2 Christoph A Klein  11 Melanie Werner-Klein  12 Joachim Wegener  3 Ole Pless  13
Affiliations
  • 1. Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Discovery Research ScreeningPort, 22525 Hamburg, Germany.
  • 2. Fraunhofer Institute for Toxicology and Experimental Medicine ITEM-R, Division of Personalized Tumor Therapy, 93053 Regensburg, Germany.
  • 3. Fraunhofer Institute for Electronic Microsystems and Solid-State Technologies EMFT, Cell-based Sensor Technology, 93053 Regensburg, Germany; Institute for Analytical Chemistry, Chemo- & Biosensors, University of Regensburg, 93053 Regensburg, Germany.
  • 4. Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany.
  • 5. Center for Hybrid Nanostructures, University of Hamburg, 22761 Hamburg, Germany.
  • 6. Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Discovery Research ScreeningPort, 22525 Hamburg, Germany; Center for Hybrid Nanostructures, University of Hamburg, 22761 Hamburg, Germany.
  • 7. Technology Platform Microscopy and Image Analysis (TP MIA), Leibniz Institute of Virology, 20251 Hamburg, Germany.
  • 8. AbbVie Deutschland GmbH & Co. KG, 67061 Ludwigshafen, Germany.
  • 9. Institute for Pathology, University of Regensburg, 93053 Regensburg, Germany.
  • 10. Institute for Neuropathology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; Experimental Pathology Core Facility, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
  • 11. Fraunhofer Institute for Toxicology and Experimental Medicine ITEM-R, Division of Personalized Tumor Therapy, 93053 Regensburg, Germany; Experimental Medicine and Therapy Research, University of Regensburg, 93053 Regensburg, Germany.
  • 12. Experimental Medicine and Therapy Research, University of Regensburg, 93053 Regensburg, Germany.
  • 13. Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Discovery Research ScreeningPort, 22525 Hamburg, Germany. Electronic address: [email protected].
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.

Keywords
CP: cancer biology; CP: stem cell; XPO1; assay development; cortical organoids; disseminated cancer cells; drug discovery; high-throughput screening; melanoma brain metastases; personalized medicine; preclinical cancer model; selinexor.
Products
  • Cat. No.
    Product Name
    Description
    Target
    Research Area
  • 99.97%, HSP90 Inhibitor
    target: HSP
    Research Areas: Cancer