Supplemental Materials and Methods Materials Ammonium bicarbonate, ammonium acetate, calcium chloride and Tris were from BioShop Canada, Inc. (Burlington, ON, Canada). Ultrapure-grade iodoacetamide, DTT, 2,2,2-Trifluoroethanol and formic acid were from Sigma-Aldrich. HPLC-grade solvents (methanol, acetonitrile, and water) were obtained from Thermo Fisher Scientific (San Jose, CA). Trifluoroacetic acid was from J.T. Baker (Phillipsburg, NJ, USA). Mass spectrometry-grade trypsin gold was from Promega (Madison, WI, USA). Expressed prostatic secretion collection All samples were collected from patients and utilized after informed consent following Institutional Review Board-approved protocols at Urology of Virginia, Sentara Medical School, and the Eastern Virginia Medical School along with the Research Ethics Board of the University Health Network. All personal information or identifiers beyond diagnosis and lab results were not available to the laboratory investigators. EPS-urine samples were collected performing a gentle massage of the prostate gland during DRE prior to biopsy, as previously described [1, 2]. The massage consisted of three strokes on each side of the median sulcus of the prostate and the expressed fluid from the glandular network of the prostate was subsequently voided in urine. Pools of 2 ml from each sample of EPS-urine were derived from 12 patients classified as having low grade, Gleason 6, organ-confined prostate cancer and 12 non-cancer samples, confirmed as biopsy negative for prostate cancer. The average PSA levels were 4.6 ng/ml in serum 1 and 30.9 g/ml in EPS for non-cancer and 6.2 ng/ml in serum and 31.6 g/ml in EPS for cancer subjects. All the additional patient information is summarized in Supplemental Table 1. Exosome preparation To generate EPS-urine pools from non-cancer and cancer patients, 2 ml of each sample were pooled together up to 24 ml of total volume. Exosomes were isolated by differential centrifugation at 25,000 g for 30 minutes [3]. The supernatant was saved and the pellet was re-suspended in 1ml sucrose/dithiothreitol solution (250 mM sucrose/200 mg/ml DTT) and centrifuged at 25,000 g for 15 min [3]. This supernatant was added to the first, and the sample was further centrifuged at 100,000 g for 5 hrs. The pelleted exosomes were washed twice with PBS and re-suspended in 0.5 ml PBS. Lipid composition of the total EPS-urine exosomes were predominantly species of sphingomyelin (~50%) > phosphatidylethanolamine > phosphatidylinositol > phosphatidylcholine > phosphatidylserine (data not shown), consistent with previous reports of prostate exosome lipid composition [4, 5]. Protein solubilization and peptide preparation The exosomes isolated from cancer and non-cancer EPS-urines were processed using 2,2,2-trifluoroethanol (TFE), an organic solvent used for extracting membrane proteins [6]. Briefly, exosomes in 200 μL of 50 % TFE in PBS were incubated with constant shaking at 60 °C for 1 hour. Proteins were reduced by adding 5 mM DTT (Ultrapure-grade, 2 Sigma-Aldrich, Oakville, ON, Canada) and alkylated with 25 mM iodoacetamide (Ultrapure-grade, Sigma-Aldrich, Oakville, ON, Canada) for 30 minutes at room temperature in the dark. The samples were diluted 5-fold with 100 mM ammonium bicarbonate, pH 8.0, and digested with mass spectrometry-grade trypsin (Promega, Madison, WI, USA) in 2mM calcium chloride at 37°C overnight. To stop the digestion, 20 μl of 90% formic acid (Ultrapure-grade, Sigma-Aldrich, Oakville, ON, Canada) were added to the samples. TFE solution-digested samples were then centrifuged at 14,000 g for 10 min at 4 °C and the resulting supernatant, containing the peptide mixture, was solid phase extracted using Agilent Cleanup C18 Pipette Tips (Agilent, Palo Alto, CA, USA), according to the manufacturer’s instructions. Eluted peptide mixtures were vacuum dried and reconstituted in 5% acetonitrile 0.1% formic acid for mass spectrometry analyses. Nano Flow Liquid Chromatography and Tandem Mass Spectrometry analysis For all samples, peptide concentrations were quantified using a NanoDrop spectrophotometer (Thermo Fisher Scientific, San Jose, CA) and the volume corresponding to 1 µg of total peptides was injected onto the chromatography column. Chromatography was performed using a nano-flow ultra-performance liquid chromatography (UPLC) system (Proxeon Biosystems, Odense, Denmark) with a 50 cm heated C18 reverse phase column (Proxeon Biosystems, Odense, Denmark), interfaced to a Q-Exactive tandem mass spectrometer (Thermo Fisher Scientific, San Jose, CA) equipped with an EasySpray nanoelectrospray source (Proxeon Biosystems, Odense, 3 Denmark). Acidified peptide mixtures (2 μg) were automatically loaded from a 96-well microplate autosampler and separated with a linear gradient at a flow rate of 250nl/min using the blow gradient (buffer A = 0.1% formic acid in HPLC grade water; buffer B = 0.1% formic acid in HPLC grade acetonitrile). Chromatographic gradient: shown is the time in minutes to ramp up to a certain % buffer B. Time (min) %B 1 5 231 30 8 40 3 80 17 80 Peptides identification and data analysis Raw data were analyzed using the MaxQuant computational proteomics platform (version 1.3.0.3) with a fragment ion mass tolerance of 0.4 Da and a parent ion mass tolerance of ±10ppm. Complete tryptic digest was assumed. Carbamidomethylation of cysteine was specified as fixed modification and oxidation of methionine as a variable modification. Only proteins identified with two unique and high quality peptide identifications per analyzed sample were considered, as previously reported [7]. A target/decoy search was performed to experimentally estimate the number of false- 4 positive identifications (<1% estimated FDR) [8]. Functional annotations (Gene Ontology terms) were assigned using the Database for Annotation, Visualization and Integrated Discovery (DAVID, bioinformatics resources v6.7; http://david.abcc. ncifcrf.gov/) [9] using the UniProt database as background. Comparison of the present EPS-urine exosomal data set to other publicly available data sets [2, 10-12] was accomplished using ProteinCenter (Proxeon Biosystems, Odense, Denmark). Only proteins with ≥95% sequence homology were considered matches (i.e. protein clusters). References [1] Drake, R. R., White, K. Y., Fuller, T. W., Igwe, E., et al., Clinical collection and protein properties of expressed prostatic secretions as a source for biomarkers of prostatic disease. J Proteomics 2009, 72, 907-917. [2] Principe, S., Kim, Y., Fontana, S., Ignatchenko, V., et al., Identification of prostateenriched proteins by in-depth proteomic analyses of expressed prostatic secretions in urine. J Proteome Res 2012, 11, 2386-2396. [3] Alvarez, M. L., Khosroheidari, M., Kanchi Ravi, R., DiStefano, J. K., Comparison of protein, microRNA, and mRNA yields using different methods of urinary exosome isolation for the discovery of kidney disease biomarkers. Kidney Int 2012, 82, 10241032. [4] Arienti, G., Carlini, E., Polci, A., Cosmi, E. V., Palmerini, C. A., Fatty acid pattern of human prostasome lipid. Arch Biochem Biophys 1998, 358, 391-395. [5] Ronquist, G. K., Larsson, A., Stavreus-Evers, A., Ronquist, G., Prostasomes are heterogeneous regarding size and appearance but affiliated to one DNAcontaining exosome family. Prostate 2012, 72, 1736-1745. [6] Zuobi-Hasona, K., Crowley, P. J., Hasona, A., Bleiweis, A. S., Brady, L. J., Solubilization of cellular membrane proteins from Streptococcus mutans for two-dimensional gel electrophoresis. Electrophoresis 2005, 26, 1200-1205. [7] Taylor, P., Nielsen, P. A., Trelle, M. B., Horning, O. B., et al., Automated 2D peptide separation on a 1D nano-LC-MS system. J Proteome Res 2009, 8, 1610-1616. [8] Cox, B., Kotlyar, M., Evangelou, A. I., Ignatchenko, V., et al., Comparative systems biology of human and mouse as a tool to guide the modeling of human placental pathology. Mol Syst Biol 2009, 5, 279. [9] Huang da, W., Sherman, B. T., Lempicki, R. A., Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 2009, 4, 44-57. 5 [10] Drake, R. R., Elschenbroich, S., Lopez-Perez, O., Kim, Y., et al., In-depth proteomic analyses of direct expressed prostatic secretions. J Proteome Res 2010, 9, 21092116. [11] Kim, Y., Ignatchenko, V., Yao, C. Q., Kalatskaya, I., et al., Identification of differentially expressed proteins in direct expressed prostatic secretions of men with organ-confined versus extracapsular prostate cancer. Mol Cell Proteomics 2012, 11, 1870-1884. [12] Wang, Z., Hill, S., Luther, J. M., Hachey, D. L., Schey, K. L., Proteomic analysis of urine exosomes by multidimensional protein identification technology (MudPIT). Proteomics 2012, 12, 329-338. 6