Joanna Patrycja Wróblewska1,2,3, Michał Stefan Lach4,5,6, Katarzyna Kulcenty4,5, Łukasz Galus7,8, Wiktoria Maria Suchorska4,5, Daniel Rösel3, Jan Brábek3, Andrzej Marszałek1,2. 1. Department of Oncologic Pathology and Prophylaxis, Poznan University of Medical Sciences, 61-866 Poznan, Poland. 2. Department of Tumor Pathology, Greater Poland Cancer Centre, 61-866 Poznan, Poland. 3. Department of Cell Biology, Faculty of Science, Charles University, BIOCEV, 25150 Vestec, Czech Republic. 4. Radiobiology Lab, Department of Medical Physics, Greater Poland Cancer, 61-866 Poznan, Poland. 5. Department of Electroradiology, Poznan University of Medical Sciences, 61-866 Poznan, Poland. 6. Department of Orthopedics and Traumatology, Poznan University of Medical Sciences, 61-544 Poznan, Poland. 7. Department of Medical and Experimental Oncology, Heliodor Swiecicki University Hospital, Poznan University of Medical Sciences, 61-866 Poznan, Poland. 8. Department of Chemotherapy, Greater Poland Cancer Centre, 61-866 Poznan, Poland.
Abstract
BACKGROUND: Uveal melanoma (UM) is the most common intraocular tumour in adults with a poor prognosis and extremely high mortality rate due to the development of metastatic disease. However, despite relatively good knowledge about the histological and genetic risk factors for metastasis development, there is no specific biomarker that would allow early detection of UM progression. Recently, exosomes and their molecular cargo have been widely studied in the search for potential biomarkers in several cancers. The purpose of this study was to analyze the inflammation-related protein cargo of exosomes derived from the serum of primary and metastatic UM patients and healthy donors. METHODS: The exosomes were isolated from the serum of primary and metastatic UM patients and healthy donors. Using multiplex immunoassay technology, we analyzed the concentration of 37 inflammation-related proteins in obtained exosomes. RESULTS: The analysis of protein cargo showed several molecules related to inflammation, such as interferon-gamma, interleukin 2, 22 and 12(p40), Pentraxin-3, TNFSF13B and TNFSF8 which were significantly enriched in metastatic UM exosomes. We showed a significant correlation between the disease stage and the concentration of these inflammation-related proteins from exosomal cargo. CONCLUSIONS: Based on the obtained results, we propose the panel of exosomal proteins for early detection of uveal melanoma progression into metastatic disease.
BACKGROUND:Uveal melanoma (UM) is the most common intraoculartumour in adults with a poor prognosis and extremely high mortality rate due to the development of metastatic disease. However, despite relatively good knowledge about the histological and genetic risk factors for metastasis development, there is no specific biomarker that would allow early detection of UM progression. Recently, exosomes and their molecular cargo have been widely studied in the search for potential biomarkers in several cancers. The purpose of this study was to analyze the inflammation-related protein cargo of exosomes derived from the serum of primary and metastatic UM patients and healthy donors. METHODS: The exosomes were isolated from the serum of primary and metastatic UM patients and healthy donors. Using multiplex immunoassay technology, we analyzed the concentration of 37 inflammation-related proteins in obtained exosomes. RESULTS: The analysis of protein cargo showed several molecules related to inflammation, such as interferon-gamma, interleukin 2, 22 and 12(p40), Pentraxin-3, TNFSF13B and TNFSF8 which were significantly enriched in metastatic UM exosomes. We showed a significant correlation between the disease stage and the concentration of these inflammation-related proteins from exosomal cargo. CONCLUSIONS: Based on the obtained results, we propose the panel of exosomal proteins for early detection of uveal melanoma progression into metastatic disease.
Authors: Daniël P de Bruyn; Aaron B Beasley; Robert M Verdijk; Natasha M van Poppelen; Dion Paridaens; Ronald O B de Keizer; Nicole C Naus; Elin S Gray; Annelies de Klein; Erwin Brosens; Emine Kiliç Journal: Biomedicines Date: 2022-02-21
Authors: István Csomós; Péter Nagy; Csenge Filep; István Rebenku; Enikő Nizsalóczki; Tamás Kovács; György Vámosi; László Mátyus; Andrea Bodnár Journal: Int J Mol Sci Date: 2021-11-30 Impact factor: 5.923