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oai:repisalud.isciii.es:20.500.12105/259592026-02-28T01:19:44Zcom_20.500.12105_2273com_20.500.12105_2202col_20.500.12105_19571

00925njm 22002777a 4500 dc Hoshino, Ayuko author Kim, Han Sang author Bojmar, Linda author Gyan, Kofi Ennu author Cioffi, Michele author Hernandez, Jonathan author Zambirinis, Constantinos P author Rodrigues, Gonçalo author Molina, Henrik author Heissel, Søren author Mark, Milica Tesic author Steiner, Loïc author Benito-Martin, Alberto author Lucotti, Serena author Di Giannatale, Angela author Offer, Katharine author Nakajima, Miho author Williams, Caitlin author Nogués, Laura author Pelissier Vatter, Fanny A author Hashimoto, Ayako author Davies, Alexander E author Freitas, Daniela author Kenific, Candia M author Ararso, Yonathan author Buehring, Weston author Lauritzen, Pernille author Ogitani, Yusuke author Sugiura, Kei author Takahashi, Naoko author Alečković, Maša author Bailey, Kayleen A author Jolissant, Joshua S author Wang, Huajuan author Harris, Ashton author Schaeffer, L Miles author García-Santos, Guillermo author Posner, Zoe author Balachandran, Vinod P author Khakoo, Yasmin author Raju, G Praveen author Scherz, Avigdor author Sagi, Irit author Scherz-Shouval, Ruth author Yarden, Yosef author Oren, Moshe author Malladi, Mahathi author Petriccione, Mary author De Braganca, Kevin C author Donzelli, Maria author Fischer, Cheryl author Vitolano, Stephanie author Wright, Geraldine P author Ganshaw, Lee author Marrano, Mariel author Ahmed, Amina author DeStefano, Joe author Danzer, Enrico author Roehrl, Michael H A author Lacayo, Norman J author Vincent, Theresa C author Weiser, Martin R author Brady, Mary S author Meyers, Paul A author Wexler, Leonard H author Ambati, Srikanth R author Chou, Alexander J author Slotkin, Emily K author Modak, Shakeel author Roberts, Stephen S author Basu, Ellen M author Diolaiti, Daniel author Krantz, Benjamin A author Cardoso, Fatima author Simpson, Amber L author Berger, Michael author Rudin, Charles M author Simeone, Diane M author Jain, Maneesh author Ghajar, Cyrus M author Batra, Surinder K author Stanger, Ben Z author Bui, Jack author Brown, Kristy A author Rajasekhar, Vinagolu K author Healey, John H author de Sousa, Maria author Kramer, Kim author Sheth, Sujit author Baisch, Jeanine author Pascual, Virginia author Heaton, Todd E author La Quaglia, Michael P author Pisapia, David J author Schwartz, Robert author Zhang, Haiying author Liu, Yuan author Shukla, Arti author Blavier, Laurence author DeClerck, Yves A author LaBarge, Mark author Bissell, Mina J author Caffrey, Thomas C author Grandgenett, Paul M author Hollingsworth, Michael A author Bromberg, Jacqueline author Costa-Silva, Bruno author Peinado Selgas, Hector author Kang, Yibin author Garcia, Benjamin A author O'Reilly, Eileen M author Kelsen, David author Trippett, Tanya M author Jones, David R author Matei, Irina R author Jarnagin, William R author Lyden, David author 2020-08-20 There is an unmet clinical need for improved tissue and liquid biopsy tools for cancer detection. We investigated the proteomic profile of extracellular vesicles and particles (EVPs) in 426 human samples from tissue explants (TEs), plasma, and other bodily fluids. Among traditional exosome markers, CD9, HSPA8, ALIX, and HSP90AB1 represent pan-EVP markers, while ACTB, MSN, and RAP1B are novel pan-EVP markers. To confirm that EVPs are ideal diagnostic tools, we analyzed proteomes of TE- (n = 151) and plasma-derived (n = 120) EVPs. Comparison of TE EVPs identified proteins (e.g., VCAN, TNC, and THBS2) that distinguish tumors from normal tissues with 90% sensitivity/94% specificity. Machine-learning classification of plasma-derived EVP cargo, including immunoglobulins, revealed 95% sensitivity/90% specificity in detecting cancer. Finally, we defined a panel of tumor-type-specific EVP proteins in TEs and plasma, which can classify tumors of unknown primary origin. Thus, EVP proteins can serve as reliable biomarkers for cancer detection and determining cancer type. Cell . 2020 Aug 20;182(4):1044-1061 Cell https://pmc.ncbi.nlm.nih.gov/articles/PMC7522766/pdf/nihms-1612511.pdf 32795414 https://hdl.handle.net/20.500.12105/25959 biomarkers cancer cancer of unknown primary origin damage-associated molecular patterns early cancer detection exomeres exosomes extracellular vesicles and particles liquid biopsy proteomics Extracellular Vesicle and Particle Biomarkers Define Multiple Human Cancers.