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Cited by 1,242

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Extracellular Vesicle and Particle Biomarkers Define Multiple Human Cancers

Open access
Hoshino, Ayuko, Kim, Han Sang, Bojmar, Linda, Gyan, Kofi Ennu, Cioffi, Michele, Hernandez, Jonathan, Zambirinis, Constantinos P., Rodrigues, Gonçalo, Molina, Henrik, Heissel, Søren, Mark, Milica Tesic, Steiner, Loïc, Benito-Martin, Alberto, Lucotti, Serena, Di Giannatale, Angela, Offer, Katharine, Nakajima, Miho, Williams, Caitlin, Nogués, Laura, Pelissier Vatter, Fanny A., Hashimoto, Ayako, Davies, Alexander E., Freitas, Daniela, Kenific, Candia M., Ararso, Yonathan, Buehring, Weston, Lauritzen, Pernille, Ogitani, Yusuke, Sugiura, Kei, Takahashi, Naoko, Alečković, Maša, Bailey, Kayleen A., Jolissant, Joshua S., Wang, Huajuan, Harris, Ashton, Schaeffer, L. Miles, García-Santos, Guillermo, Posner, Zoe, Balachandran, Vinod P., Khakoo, Yasmin, Raju, G. Praveen, Scherz, Avigdor, Sagi, Irit, Scherz-Shouval, Ruth, Yarden, Yosef, Oren, Moshe, Malladi, Mahathi, Petriccione, Mary, De Braganca, Kevin C., Donzelli, Maria, Fischer, Cheryl, Vitolano, Stephanie, Wright, Geraldine P., Ganshaw, Lee, Marrano, Mariel, Ahmed, Amina, DeStefano, Joe, Danzer, Enrico, Roehrl, Michael H.A., Lacayo, Norman J., Vincent, Theresa C., Weiser, Martin R., Brady, Mary S., Meyers, Paul A., Wexler, Leonard H., Ambati, Srikanth R., Chou, Alexander J., Slotkin, Emily K., Modak, Shakeel, Roberts, Stephen S., Basu, Ellen M., Diolaiti, Daniel, Krantz, Benjamin A., Cardoso, Fatima, Simpson, Amber L., Berger, Michael, Rudin, Charles M., Simeone, Diane M., Jain, Maneesh, Ghajar, Cyrus M., Batra, Surinder K., Stanger, Ben Z., Bui, Jack, Brown, Kristy A., Rajasekhar, Vinagolu K., Healey, John H., de Sousa, Maria, Kramer, Kim, Sheth, Sujit, Baisch, Jeanine, Pascual, Virginia, Heaton, Todd E., La Quaglia, Michael P., Pisapia, David J., Schwartz, Robert, Zhang, Haiying, Liu, Yuan, Shukla, Arti, Blavier, Laurence, DeClerck, Yves A., LaBarge, Mark, Bissell, Mina J., Caffrey, Thomas C., Grandgenett, Paul M., Hollingsworth, Michael A., Bromberg, Jacqueline, Costa-Silva, Bruno, Peinado, Hector, Kang, Yibin, Garcia, Benjamin A., O’Reilly, Eileen M., Kelsen, David, Trippett, Tanya M., Jones, David R., Matei, Irina R., Jarnagin, William R., Lyden, David·2020·Cell
DOI 10.1016/j.cell.2020.07.009
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Abstract

SUMMARY 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.

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Authors
Hoshino, A., Kim, H. S., Bojmar, L., Gyan, K. E., Cioffi, M., Hernandez, J., Zambirinis, C. P., Rodrigues, G., Molina, H., Heissel, S., Mark, M. T., Steiner, L., Benito-Martin, A., Lucotti, S., Di Giannatale, A., Offer, K., Nakajima, M., Williams, C., Nogués, L., Pelissier Vatter, F. A., Hashimoto, A., Davies, A. E., Freitas, D., Kenific, C. M., Ararso, Y., Buehring, W., Lauritzen, P., Ogitani, Y., Sugiura, K., Takahashi, N., Alečković, M., Bailey, K. A., Jolissant, J. S., Wang, H., Harris, A., Schaeffer, L. M., García-Santos, G., Posner, Z., Balachandran, V. P., Khakoo, Y., Raju, G. P., Scherz, A., Sagi, I., Scherz-Shouval, R., Yarden, Y., Oren, M., Malladi, M., Petriccione, M., De Braganca, K. C., Donzelli, M., Fischer, C., Vitolano, S., Wright, G. P., Ganshaw, L., Marrano, M., Ahmed, A., DeStefano, J., Danzer, E., Roehrl, M. H. A., Lacayo, N. J., Vincent, T. C., Weiser, M. R., Brady, M. S., Meyers, P. A., Wexler, L. H., Ambati, S. R., Chou, A. J., Slotkin, E. K., Modak, S., Roberts, S. S., Basu, E. M., Diolaiti, D., Krantz, B. A., Cardoso, F., Simpson, A. L., Berger, M., Rudin, C. M., Simeone, D. M., Jain, M., Ghajar, C. M., Batra, S. K., Stanger, B. Z., Bui, J., Brown, K. A., Rajasekhar, V. K., Healey, J. H., de Sousa, M., Kramer, K., Sheth, S., Baisch, J., Pascual, V., Heaton, T. E., La Quaglia, M. P., Pisapia, D. J., Schwartz, R., Zhang, H., Liu, Y., Shukla, A., Blavier, L., DeClerck, Y. A., LaBarge, M., Bissell, M. J., Caffrey, T. C., Grandgenett, P. M., Hollingsworth, M. A., Bromberg, J., Costa-Silva, B., Peinado, H., Kang, Y., Garcia, B. A., O’Reilly, E. M., Kelsen, D., Trippett, T. M., Jones, D. R., Matei, I. R., Jarnagin, W. R., & Lyden, D.
Venue
Cell
Publisher
Elsevier BV
Published
2020-08
Volume
182
Issue
4
Pages
1044-1061.e18
ISSN
0092-8674 (ISSN-L)
DOI
10.1016/j.cell.2020.07.009
OpenAlex
W3048596299
Cited by
1,242
References
56
FWCI
45.78
Type
journal article
Language
en
Open access
bronze

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The paper
Hoshino, A., Kim, H. S., Bojmar, L., Gyan, K. E., Cioffi, M., Hernandez, J., Zambirinis, C. P., Rodrigues, G., Molina, H., Heissel, S., Mark, M. T., Steiner, L., Benito-Martin, A., Lucotti, S., Di Giannatale, A., Offer, K., Nakajima, M., Williams, C., Nogués, L., . . . Lyden, D. (2020). Extracellular Vesicle and Particle Biomarkers Define Multiple Human Cancers. Cell. https://doi.org/10.1016/j.cell.2020.07.009

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.