Cancers · 2023 · 13 citations · 63 references
Pleural mesothelioma, previously known as malignant pleural mesothelioma, is an aggressive and fatal cancer of the pleura, with one of the poorest survival rates. Pleural mesothelioma is in urgent clinical need for biomarkers to aid early diagnosis, improve prognostication, and stratify patients for treatment. Extracellular vesicles (EVs) have great potential as biomarkers; however, there are limited studies to date on their role in pleural mesothelioma. We conducted a comprehensive proteomic analysis on different EV populations derived from five pleural mesothelioma cell lines and an immortalized control cell line. We characterized three subtypes of EVs (10 K, 18 K, and 100 K), and identified a total of 4054 unique proteins. Major differences were found in the cargo between the three EV subtypes. We show that 10 K EVs were enriched in mitochondrial components and metabolic processes, while 18 K and 100 K EVs were enriched in endoplasmic reticulum stress. We found 46 new cancer-associated proteins for pleural mesothelioma, and the presence of mesothelin and PD-L1/PD-L2 enriched in 100 K and 10 K EV, respectively. We demonstrate that different EV populations derived from pleural mesothelioma cells have unique cancer-specific proteomes and carry oncogenic cargo, which could offer a novel means to extract biomarkers of interest for pleural mesothelioma from liquid biopsies.
63
Clotilde Théry, Kenneth W. Witwer, Elena Aïkawa et al. · Journal of Extracellular Vesicles · 2018 · 10.7K citations · Full text
MissForest—non-parametric missing value imputation for mixed-type data
Daniel J. Stekhoven, Peter Bühlmann · Bioinformatics · 2011 · 5.7K citations · Full text
Exosomal PD-L1 contributes to immunosuppression and is associated with anti-PD-1 response
Gang Chen, Alexander C. Huang, Wei Zhang et al. · Nature · 2018 · 2.7K citations · Full text
Mutations in FUS, an RNA Processing Protein, Cause Familial Amyotrophic Lateral Sclerosis Type 6
Caroline Vance, Boris Rogelj, Tibor Hortobágyi et al. · Science · 2009 · 2.5K citations · Full text