Proteomic Profiling of Archived Tissue of Primary Melanoma Identifies Proteins Associated with Metastasis

Autor: Andrew Shapanis, Chester Lai, Mathew Sommerlad, Erika Parkinson, Eugene Healy, Paul Skipp
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: International Journal of Molecular Sciences, Vol 21, Iss 21, p 8160 (2020)
Druh dokumentu: article
ISSN: 1422-0067
1661-6596
DOI: 10.3390/ijms21218160
Popis: Formalin-fixed paraffin embedded (FFPE) clinical tissues represent an abundant and unique resource for translational proteomic studies. In the US, melanoma is the 5th and 6th most common cancer in men and women, respectively, affecting over 230,000 people annually and metastasising in 5–15% of cases. Median survival time for distant metastatic melanoma is 6–9 months with a 5-year-survival of < 15%. In this study, 24 primary FFPE tumours which have metastasised (P-M) and 24 primary FFPE tumours which did not metastasise (P-NM) were subjected to proteomic profiling. In total, 2750 proteins were identified, of which 16 were significantly differentially expressed. Analysis of TCGA data demonstrated that expression of the genes encoding for 6 of these 16 proteins had a significant effect on survival in cutaneous melanoma. Pathway analysis of the proteomics data revealed mechanisms likely involved in the process of melanoma metastasis, including cytoskeleton rearrangement, extracellular changes and immune system alterations. A machine learning prediction model scoring an AUC of 0.922, based on these 16 differentially expressed proteins was able to accurately classify samples into P-M and P-NM. This study has identified potential biomarkers and key processes relating to melanoma metastasis using archived clinical samples, providing a basis for future studies in larger cohorts.
Databáze: Directory of Open Access Journals
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