bioRxivCancer BiologyPreprint
Histopathology-assisted proteogenomics provides foundations for stratification of melanoma metastases
M. Kuras, L. H. Betancourt, R. Hong, L. Szadai, J. Rodriguez, P. Horvatovich, I. Pla, J. Eriksson, B. Szeitz, B. Deszcz, C. Welinder, Y. Sugihara, H. Ekedahl, B. Baldetorp, C. Ingvar, L. Lundgren, H. Lindberg, H. Oskolas, Z. Horvath, M. Rezeli, J. Gil, R. Appelqvist, L. V. Kemeny, J. Malm, A. Sanchez, , G. Marko-Varga
Abstract
Here we describe the histopathology-driven proteogenomic landscape of 142 treatment-naive metastatic melanoma samples. We identified five proteomic subtypes that integrate the immune and stroma microenvironment components, and associate with clinical and histopathological parameters, providing foundations for an in-depth molecular classification of melanoma. Our study shows that BRAF V600 mutated melanomas display heterogeneous biology, where the presence of an oncogene-induced senescence-like phenotype improves patient survival. Therefore, we propose a mortality-risk-based stratification, which may contribute to a more personalized approach to patient treatment. We also found a strong association between tumor microenvironment composition, disease progression, and patient outcome supported by single-cell omic signatures that point to straightforward histopathological connective tissue-to-tumor ratio assessment for better informed medical decisions. A melanoma-associated signature of single amino acid variants (SAAV) responsible for remodeling the extracellular matrix was uncovered together with SAAV-derived neoantigen candidates as targets of anti-tumor immune responses. Overall, this study offers comprehensive stratifications of melanoma metastases that may help develop tailored strategies for diagnosing and treating the disease.
- organism: human
- assay: proteomics
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: drug response / drug discovery
- approach: experimental assay
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Melanoma proteomics unravels major differences related to mutational status
Lucía Trilla-Fuertes, Angelo Gámez-Pozo, … Enrique Espinosa·bioRxiv·Oct 6, 2017
- Proteogenomics Reveals how Metastatic Melanoma Modulates the Immune System to Allow Immune Evasion
J. Gil, Y. Kim, … G. Marko-Varga·bioRxiv·Apr 10, 2021
- Proteogenomic Characterization Reveals Therapeutic Opportunities Related to Mitochondrial Function in Melanoma
J. Gil, Y. Kim, … G. Marko-Varga·bioRxiv·Oct 24, 2022
- Single Cell RNA Sequencing Analysis of Human Melanoma Reveals A Distinct Prognostic Myeloid Cell
M. Usman Ahmad, Lyong Heo, … Amanda Kirane·bioRxiv·Mar 5, 2025
- Cellular Mechanisms Underlying Melanoma Brain Metastasis
Bengi Ruken Yavuz, Hyunbum Jang, Ruth Nussinov·bioRxiv·Nov 24, 2025
- Identifying Ferroptosis Inducers, HDAC, and RTK Inhibitor Sensitivity in Melanoma Subtypes through Unbiased Drug Target Prediction
Indira Plá, Botond L. Szabolcs, … Lajos Vince Kemény·International Journal of DermatologyPeer-reviewed·Dec 25, 2024