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.

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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
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article

Melanoma cell states define therapeutic vulnerabilities in a multimodal single-cell atlas

Marina Bacac, Marina Tusup, Sujana Sivapatham, Franziska Singer et al.
ETH Zürich Research Collection
Single-cell and spatial transcriptomics
article

Melanoma cell states define therapeutic vulnerabilities in a multimodal single-cell atlas

Marina Bacac, Marina Tusup, Sujana Sivapatham, Franziska Singer, Stefanie Engler, Veronika Haunerdinger, Michael Prummer, Sandra Goetze, Ruben Casanova, M. Levesque, Berend Snijder, Gabriele Gut, Christian Beisel, Ulrike Lischetti, Stéphane Chevrier, Bernd Wollscheid, Julien Mena, Markus Tolnay, Ximena Bonilla Bustillo, Jacobo Sarabia Del Castillo, Andrea Jacobs, Pedro F. Ferreira, Anna Bettina Sobottka, Viktor Koelzer, 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
article en

Abstract

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.

ETH Zürich Research Collection
Openalex Percentile: Top 7%
Single-cell and spatial transcriptomics
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