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Related Experiment Video

Updated: Sep 11, 2025

A Robust Discovery Platform for the Identification of Novel Mediators of Melanoma Metastasis
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Scaffold-Free Functional Deconvolution Identifies Clinically Relevant Metastatic Melanoma EV Biomarkers.

Shin-La Shu1,2, Shawna Benjamin-Davalos1, Xue Wang3

  • 1Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.

Cancers
|August 14, 2025
PubMed
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This study introduces Scaffold-free Functional Deconvolution (SFD), a computational method to identify melanoma metastasis biomarkers in extracellular vesicles (EVs). SFD effectively filters out non-cancerous signals, revealing key targets for improved diagnostics and therapeutics.

Area of Science:

  • Oncology
  • Biochemistry
  • Computational Biology

Background:

  • Melanoma metastasis is driven by tumor microenvironment (TME) crosstalk via extracellular vesicles (EVs).
  • Distinguishing tumor-derived EV proteins from healthy cell EVs is a major challenge for clinical translation.

Purpose of the Study:

  • To develop a novel computational approach, Scaffold-free Functional Deconvolution (SFD), for deconvoluting non-oncogenic signals in melanoma EVs.
  • To identify robust biomarkers and therapeutic targets associated with melanoma metastasis.

Main Methods:

  • Melanoma EVs were analyzed using mass spectrometry (MS/MS) and isolated via REIUS.
  • SFD employed sequential filtering: excluding normal melanocyte EV proteins, prioritizing metastasis-linked entries (HCMDB), refining with melanocyte databases, and validating with TCGA survival data.
Keywords:
REIUS isolationbiomarker discoverydisease-free survival (DFS)extracellular vesicles (EV)melanomametastasisoverall survival (OS)proteomicstumor microenvironment (TME)

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  • Surfaceome profiling, Western blot, flow cytometry, Vesiclepedia, and STRING were used for target validation and network analysis.

    • Main Results:

    • SFD identified 21 high-confidence targets linked to metabolic acidification, immune modulation, and oncogenesis, correlating with reduced patient survival.
    • Enrichment of H7-B3 (CD276), ICAM1, and MIC-1 (GDF-15) in metastatic melanoma EVs was confirmed.
    • Meta-analysis revealed a dense interaction network of metabolic, immune, and oncogenic drivers.

    Conclusions:

    • Scaffold-free Functional Deconvolution (SFD) is a powerful tool for identifying clinically relevant biomarkers and therapeutic targets in melanoma EVs.
    • SFD has significant potential for advancing drug development and personalized medicine in melanoma treatment.