Uld be taken in interpretation of obtained results, as, one example is, outcomes from TEPs might originate from co-isolated huge tdEVs, and ccfDNA might originate from DNA enclosed in tdEVs 1 . Summary/Conclusion: The Stokes model could be applied to predict the 5-HT7 Receptor Antagonist Synonyms behaviour of biomarkers including EVs- through isolation or concentration to other body fluids, which may well facilitate the comparison of such protocols in e.g. EV-TRACK, further standardization of protocols, and create optimal biorepository conditions. Funding: This function is supported by the Netherlands Organisation for Scientific Study Domain Applied and Engineering Sciences (NOW-TTW), research applications VENI 13681 (Frank Coumans), Perspectief CANCER-ID 14198 (Linda Rikkert), and VENI 15924 (Edwin van der Pol).PF10.03 PF10.A centrifugation model to predict the behaviour of tumour biomarkers in liquid biopsies Linda Rikkerta, Edwin van der Polb, Ton van Leeuwenc, Rienk Nieuwlandd, Leon Terstappene and Frank Coumansd Amsterdam UMC, location AMC, Amsterdam, Netherlands; bAmsterdam UMC, University of Amsterdam, Division of Biomedical Engineering and Physics, Amsterdam, Netherlands, Amsterdam, Netherlands; cdAmsterdam UMC, University of Amsterdam, Division of Biomedical Engineering and Physics, Amsterdam, Netherlands, Amsterdam, Netherlands; dAmsterdam UMC, University of Amsterdam, Laboratory of Experimental Clinical Chemistry, Amsterdam, Netherlands, Amsterdam, Netherlands; eMedical Cell Biophysics, University of Twente, Enschede, NetherlandsaEffects of lipoprotein destabilization on isolation and analysis of plasma-derived extracellular vesicles Danilo Mladenovia, Paolo Guazzib, Elina Aleksejevab, Antonio Chiesib, Kairi Koorta, Davide Zoccoc, Triin Ojab and Natasa ZarovnidaTallinn University, School of All-natural Sciences and Well being, Tallinn, Estonia; HansaBioMed Life Sciences, Tallinn, Estonia; cExosomics Siena, Siena, USA; d Exosomics, Siena, ItalybIntroduction: Biomarkers in blood of cancer patients incorporate circulating tumour cells (CTCs), tumour-educated platelets (TEPs), tumour-derived extracellular vesicles (tdEVs), EV-associated miRNA (EV-miRNA), and circulating cell-free DNA (ccfDNA). Since the size and density of biomarkers differ, blood is centrifuged to isolate or concentrate the biomarker of interest. Here, we applied a model to predict the α9β1 Compound effect of centrifugation on the purity of a biomarker as outlined by published protocols. Strategies: The model is determined by the Stokes equation and was validated using polystyrene beads in buffer and plasma. Next, the model was applied to predict the biomarker behaviour through centrifugation. The result was expressed as recovery of CTCs, TEPs,Introduction: Plasma is one of the most commonly utilised sources of EVs given that it really is simple to access and is extensively utilised in clinical analysis and diagnostics. Isolation of pure EVs from such a complicated biofluid is difficult to achieve as a consequence of presence of lots of contaminants (lipoproteins, soluble proteins and protein aggregates) that affect downstream application. Here, we are exploring effects of plasma acidification on isolation, purification and detection of EVs, as stand-alone or combined with other pre-analytical methods: lipoprotein lipase (LPL) and low-density lipoprotein receptor (LDLR) remedy, in line with further purification and analytical techniques. Techniques: Plasma preclearing and EV isolation: differential centrifugation, tangential flow filtration (TFF), size exclusion chromatography (SEC), enzyme-c.