Distant metastases of melanoma exhibit varying extent of intrapatient proteogenomic heterogeneity
Beata Szeitz , Yanick Paco Hagemeijer , Zoltan Gabor Pahi , Zsuzsanna Ujfaludi , Magdalena Kuras , Jimmy Rodriguez , Viktoria Doma , Reka Mohacsi , Magdolna Herold , Zoltan Herold , Zsolt Horvath , Indira Pla , Yutaka Sugihara , Bo Baldetorp , Henrik Lindberg , Henriett Oskolas , Melinda Rezeli , Jeovanis Gil , Roger Appelqvist , Lajos V. Kemeny , Jessica Guedes , Johan Malm , Aniel Sanchez , Imre Miklos Boros , Istvan Balazs Nemeth , Victor Guryev , Tibor Pankotai , Krzysztof Pawłowski , Elisabet Wieslander , Attila Marcell Szasz , David Fenyö , Peter Horvatovich , Jozsef Timar , György Marko-Varga , Lazaro Hiram Betancourt
Clinical and Translational Medicine ›› 2025, Vol. 15 ›› Issue (10) : e70477
Distant metastases of melanoma exhibit varying extent of intrapatient proteogenomic heterogeneity
Background: Metastatic melanoma is a highly aggressive disease with poor survival rates despite recent therapeutic advancements with immunotherapy. The proteomic landscape of advanced melanoma remains poorly understood, especially regarding proteomic heterogeneity across metastases within patients.
Methods: We collected 83 melanoma metastases from 19 different metastatic sites in 24 patients with advanced metastatic melanoma almost exclusively from the pre-immunotherapy era, using semi-rapid autopsies. The metastases were subjected to histopathological evaluation, RNA-sequencing and mass spectrometry-based proteomics for protein quantitation and non-reference peptide (NRP) sequence detection using a proteogenomic data integration approach.
Results: NRPs associated with mutations frequently occurred in proteins related to focal adhesion, vesicle-mediated transport, MAPK signalling and immune response pathways across the cohort. Intrapatient heterogeneity was negligible when considering morphology and driver gene mutation status but was substantial at the proteogenomic level. This heterogeneity was not driven by metastasis location, albeit liver metastases exhibited distinct proteogenomic patterns, including upregulation of metabolic pathways. Cluster analysis outlined four proteomic clusters (C1–4) of the metastases, characterised by the upregulation of cell cycle and RNA-splicing (C1), mitochondrial processes (C3), extracellular matrix (ECM) and immune pathways (C2) and ECM and vesicle-mediated transport pathways (C4). Around two-thirds of patients had metastases that had strongly distinct phenotypes. Patients in our cohort whose metastases were primarily assigned to clusters C1 and C3 exhibited shorter overall survival than patients whose metastases were categorised mainly into the C2 and C4 clusters.
Conclusion: Our unique multi-metastasis cohort captured the proteogenomic heterogeneity of immunotherapy-naïve melanoma distant metastases, establishing a foundation for future studies aimed at identifying novel therapeutic targets to complement current immunotherapies.
distant metastasis / histopathology / mass spectrometry-based proteomics / melanoma / post mortem / proteogenomics / RNA-sequencing
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2025 The Author(s). Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.
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