Modeling anti-tumor immune responses using patient-derived melanoma organoids
Immune checkpoint blockade (ICB) therapy can restore T cell function in tumors, but not all patients benefit, and the mechanisms behind this remain unclear. In this study, we used patient-derived organotypic (PDO) cultures from metastatic melanoma to examine transcriptomic and cellular changes following ex vivo T cell stimulation. Genomic and transcriptomic features were preserved during PDO formation, capturing melanoma heterogeneity. PDOs from ICB-responsive patients showed rapid T cell expansion upon T cell stimulation, unlike those from ICB-resistant tissue. Resistant tissue harbored T cells lacking activation and checkpoint markers, suggesting non-tumor-reactive T cells. A T cell-specific transcriptomic score, activated in responsive PDOs, correlated with improved overall and relapse-free survival in metastatic melanoma patients treated with ICB. These findings demonstrate that ex vivo analysis is a viable tool to investigate mechanisms of ICB response and may help identify predictive biomarkers for patient outcome.
Authors
- Bengt Phung (ORCID: https://orcid.org/0000-0002-9923-0847)
- Martin Lauss
- Karolin Isaksson (ORCID: https://orcid.org/0000-0003-3690-5680)
- Katja Harbst (ORCID: https://orcid.org/0000-0002-8225-1510)
- Kári Rubek Nielsen (ORCID: https://orcid.org/0000-0002-1028-644X)
- Henrik Ekedahl (ORCID: https://orcid.org/0000-0003-4337-8495)
- Jacob Karlström
- Kristian Pietras
- Kamila Kaminska
- Ana Carneiro
- Teresa Svensson
- Göran Jönsson
Institutions
- Lund University (SE)
- Kristianstad University (SE)
- Medicon Village (SE)
- Helsingborgs lasarett (SE)
- Skåne University Hospital (SE)
- Centralsjukhuset Kristianstad (SE)
Publication Details
- Journal
- Cancer Immunology Immunotherapy
- Published
- 2025-12-23
- DOI
- https://doi.org/10.1007/s00262-025-04269-9
- Citations
- 1
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 1.05
Funders
- Lunds Universitet
- KU Leuven
- Vetenskapsrådet
- Science for Life Laboratory
- Skånes universitetssjukhus
- Uppsala Multidisciplinary Center for Advanced Computational Science