Melanoma cell states define therapeutic vulnerabilities in a multimodal single-cell atlas
PURPOSE: High-dimensional tumor profiling has the potential to refine therapeutic decisions in metastatic melanoma, especially in the beyond-standard-of-care setting, but its clinical utility remains uncertain. The Tumor Profiler Study prospectively integrated multi-platform molecular, single-cell, spatial, and functional analyses into a 4-week clinical workflow. We report the biological and clinically actionable findings from the melanoma cohort. METHODS: Tumor and blood samples from 116 patients (126 tumors) underwent comprehensive profiling including CyTOF, single-cell RNA and DNA sequencing, imaging mass cytometry, proteotyping, bulk RNA/DNA sequencing, and two ex vivo drug-response platforms. Cross-modal integration defined melanoma phenotypes and identified treatment-relevant features. RESULTS: Single-cell protein profiling of 1.7 million melanoma cells identified six recurrent melanoma phenotypes present across melanoma subtypes and oncogenic drivers. Resulting tumor phenotypes stratified patients into six CyTOF-derived groups with distinct molecular characteristics and significantly different ex vivo responses to FDA-approved therapies. TYRP1-high classical melanocytic tumors showed broad drug resistance but reproducible sensitivity to cisplatin plus vindesine, consistent with elevated p53-associated DNA damage response pathways. Conversely, melanomas with heightened unfolded-protein-response activity exhibited marked sensitivity to proteasome inhibitors, supported by transcriptomic, proteomic, and functional readouts. CONCLUSION: This study establishes a clinically annotated, single-cell–resolved multi-omic atlas of advanced melanoma that links tumor phenotypes to actionable drug vulnerabilities. These findings provide a biological rationale for biomarker-driven, phenotype-guided interventional trials aimed at improving therapeutic outcomes in metastatic melanoma.
Authors
- Marina Bacac (ORCID: https://orcid.org/0000-0003-0581-9579)
- Marina Tusup (ORCID: https://orcid.org/0000-0001-7746-1057)
- Sujana Sivapatham (ORCID: https://orcid.org/0000-0002-2514-2668)
- Franziska Singer (ORCID: https://orcid.org/0000-0002-6017-1595)
- Stefanie Engler (ORCID: https://orcid.org/0009-0002-3908-8356)
- Veronika Haunerdinger (ORCID: https://orcid.org/0000-0002-6184-8182)
- Michael Prummer (ORCID: https://orcid.org/0000-0001-9896-3929)
- Sandra Goetze (ORCID: https://orcid.org/0000-0001-6880-8020)
- Ruben Casanova (ORCID: https://orcid.org/0000-0002-3957-8120)
- M. Levesque
- Berend Snijder (ORCID: https://orcid.org/0000-0003-3386-6583)
- Gabriele Gut (ORCID: https://orcid.org/0000-0001-8991-0040)
- Christian Beisel (ORCID: https://orcid.org/0000-0001-5360-2193)
- Ulrike Lischetti (ORCID: https://orcid.org/0000-0002-9956-3043)
- Stéphane Chevrier (ORCID: https://orcid.org/0000-0002-9216-7910)
- Bernd Wollscheid (ORCID: https://orcid.org/0000-0002-3923-1610)
- Julien Mena (ORCID: https://orcid.org/0000-0001-8040-810X)
- Markus Tolnay (ORCID: https://orcid.org/0000-0002-7037-066X)
- Ximena Bonilla Bustillo
- Jacobo Sarabia Del Castillo
- Andrea Jacobs
- Pedro F. Ferreira (ORCID: https://orcid.org/0000-0003-0559-6125)
- Anna Bettina Sobottka
- Viktor Koelzer (ORCID: https://orcid.org/0000-0001-9206-4885)
- Anja Frei
- Emanuela Milani
- Viola Heinzelmann-Schwarz
- Monica-Andreea Baciu-Drăgan
- Nora Christina Toussaint
- Andreas Wicki
- Jack Kuipers
- Marta Nowak
- Olivier Michielin
- Bernd Bodenmiller
- Niko Beerenwinkel
- Reinhard Dummer
- Kjong-Van Lehmann
- Tanmay Tanna
- Luca Pelkmans
- Rebekka Wegmann
- Cinczia Esposito
- Joanna Ficek-Pascual
- Anne Bertolini
- Holger Moch
- Gunnar Rätsch
- Silvana Albert
- Nicola Miglino
Publication Details
- Journal
- ETH Zürich Research Collection
- Published
- 2026-04-29
- DOI
- https://doi.org/10.3929/ethz-c-000799790
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00