Colocalization of Cancer-Associated Biomarkers on Single Extracellular Vesicles for Early Detection of Cancer
Detection of cancer early, when it is most treatable, remains a significant challenge because of the lack of diagnostic methods sufficiently sensitive to detect nascent tumors. Early-stage tumors are small relative to their tissue of origin, heterogeneous, and infrequently manifest in clinical sympt...
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creator | Salem, Daniel P. Bortolin, Laura T. Gusenleitner, Dan Grosha, Jonian Zabroski, Ibukunoluwapo O. Biette, Kelly M. Banerjee, Sanchari Sedlak, Christopher R. Byrne, Delaney M. Hamzeh, Bilal F. King, MacKenzie S. Cuoco, Lauren T. Santos-Heiman, Timothy Barcaskey, Gabrielle N. Yang, Katherine S. Duff, Peter A. Winn-Deen, Emily S. Guettouche, Toumy Mattoon, Dawn R. Huang, Eric K. Schekman, Randy W. Couvillon, Anthony D. Sedlak, Joseph C. |
description | Detection of cancer early, when it is most treatable, remains a significant challenge because of the lack of diagnostic methods sufficiently sensitive to detect nascent tumors. Early-stage tumors are small relative to their tissue of origin, heterogeneous, and infrequently manifest in clinical symptoms. The detection of early-stage tumors is challenging given the lack of tumor-specific indicators (ie, protein biomarkers, circulating tumor DNA) to enable detection using a noninvasive diagnostic assay. To overcome these obstacles, we have developed a liquid biopsy assay that interrogates circulating extracellular vesicles (EVs) to detect tumor-specific biomarkers colocalized on the surface of individual EVs. We demonstrate the technical feasibility of this approach in human cancer cell line–derived EVs, where we show strong correlations between assay signal and cell line gene/protein expression for the ovarian cancer–associated biomarkers bone marrow stromal antigen-2, folate receptor-α, and mucin-1. Furthermore, we demonstrate that detecting distinct colocalized biomarkers on the surface of EVs significantly improves discrimination performance relative to single biomarker measurements. Using this approach, we observe promising discrimination of high-grade serous ovarian cancer versus benign ovarian masses and healthy women in a proof-of-concept clinical study. |
doi_str_mv | 10.1016/j.jmoldx.2024.08.006 |
format | Article |
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Early-stage tumors are small relative to their tissue of origin, heterogeneous, and infrequently manifest in clinical symptoms. The detection of early-stage tumors is challenging given the lack of tumor-specific indicators (ie, protein biomarkers, circulating tumor DNA) to enable detection using a noninvasive diagnostic assay. To overcome these obstacles, we have developed a liquid biopsy assay that interrogates circulating extracellular vesicles (EVs) to detect tumor-specific biomarkers colocalized on the surface of individual EVs. We demonstrate the technical feasibility of this approach in human cancer cell line–derived EVs, where we show strong correlations between assay signal and cell line gene/protein expression for the ovarian cancer–associated biomarkers bone marrow stromal antigen-2, folate receptor-α, and mucin-1. Furthermore, we demonstrate that detecting distinct colocalized biomarkers on the surface of EVs significantly improves discrimination performance relative to single biomarker measurements. Using this approach, we observe promising discrimination of high-grade serous ovarian cancer versus benign ovarian masses and healthy women in a proof-of-concept clinical study.</description><identifier>ISSN: 1525-1578</identifier><identifier>ISSN: 1943-7811</identifier><identifier>EISSN: 1943-7811</identifier><identifier>DOI: 10.1016/j.jmoldx.2024.08.006</identifier><identifier>PMID: 39326670</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Biomarkers, Tumor ; Cell Line, Tumor ; Early Detection of Cancer - methods ; Extracellular Vesicles - metabolism ; Female ; Folate Receptor 1 - metabolism ; Humans ; Liquid Biopsy - methods ; Mucin-1 - metabolism ; Neoplasms - diagnosis ; Ovarian Neoplasms - diagnosis ; Ovarian Neoplasms - metabolism ; Ovarian Neoplasms - pathology</subject><ispartof>The Journal of molecular diagnostics : JMD, 2024-12, Vol.26 (12), p.1109-1128</ispartof><rights>2024 Association for Molecular Pathology and American Society for Investigative Pathology</rights><rights>Copyright © 2024 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2026-cefa781335aaad85e507fca7103238e5a2ea3299739d867adfc4107a43fbcbad3</cites><orcidid>0000-0003-4146-3274 ; 0009-0006-4806-2931 ; 0000-0003-1665-6605 ; 0000-0003-2444-635X ; 0009-0005-7342-3279 ; 0000-0001-5640-7879 ; 0000-0002-0969-7364 ; 0000-0003-0182-950X ; 0000-0003-0481-8566 ; 0009-0001-4198-5614 ; 0009-0003-5059-4986 ; 0000-0003-4444-6058</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1525157824002095$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39326670$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Salem, Daniel P.</creatorcontrib><creatorcontrib>Bortolin, Laura T.</creatorcontrib><creatorcontrib>Gusenleitner, Dan</creatorcontrib><creatorcontrib>Grosha, Jonian</creatorcontrib><creatorcontrib>Zabroski, Ibukunoluwapo O.</creatorcontrib><creatorcontrib>Biette, Kelly M.</creatorcontrib><creatorcontrib>Banerjee, Sanchari</creatorcontrib><creatorcontrib>Sedlak, Christopher R.</creatorcontrib><creatorcontrib>Byrne, Delaney M.</creatorcontrib><creatorcontrib>Hamzeh, Bilal F.</creatorcontrib><creatorcontrib>King, MacKenzie S.</creatorcontrib><creatorcontrib>Cuoco, Lauren T.</creatorcontrib><creatorcontrib>Santos-Heiman, Timothy</creatorcontrib><creatorcontrib>Barcaskey, Gabrielle N.</creatorcontrib><creatorcontrib>Yang, Katherine S.</creatorcontrib><creatorcontrib>Duff, Peter A.</creatorcontrib><creatorcontrib>Winn-Deen, Emily S.</creatorcontrib><creatorcontrib>Guettouche, Toumy</creatorcontrib><creatorcontrib>Mattoon, Dawn R.</creatorcontrib><creatorcontrib>Huang, Eric K.</creatorcontrib><creatorcontrib>Schekman, Randy W.</creatorcontrib><creatorcontrib>Couvillon, Anthony D.</creatorcontrib><creatorcontrib>Sedlak, Joseph C.</creatorcontrib><title>Colocalization of Cancer-Associated Biomarkers on Single Extracellular Vesicles for Early Detection of Cancer</title><title>The Journal of molecular diagnostics : JMD</title><addtitle>J Mol Diagn</addtitle><description>Detection of cancer early, when it is most treatable, remains a significant challenge because of the lack of diagnostic methods sufficiently sensitive to detect nascent tumors. Early-stage tumors are small relative to their tissue of origin, heterogeneous, and infrequently manifest in clinical symptoms. The detection of early-stage tumors is challenging given the lack of tumor-specific indicators (ie, protein biomarkers, circulating tumor DNA) to enable detection using a noninvasive diagnostic assay. To overcome these obstacles, we have developed a liquid biopsy assay that interrogates circulating extracellular vesicles (EVs) to detect tumor-specific biomarkers colocalized on the surface of individual EVs. We demonstrate the technical feasibility of this approach in human cancer cell line–derived EVs, where we show strong correlations between assay signal and cell line gene/protein expression for the ovarian cancer–associated biomarkers bone marrow stromal antigen-2, folate receptor-α, and mucin-1. Furthermore, we demonstrate that detecting distinct colocalized biomarkers on the surface of EVs significantly improves discrimination performance relative to single biomarker measurements. Using this approach, we observe promising discrimination of high-grade serous ovarian cancer versus benign ovarian masses and healthy women in a proof-of-concept clinical study.</description><subject>Biomarkers, Tumor</subject><subject>Cell Line, Tumor</subject><subject>Early Detection of Cancer - methods</subject><subject>Extracellular Vesicles - metabolism</subject><subject>Female</subject><subject>Folate Receptor 1 - metabolism</subject><subject>Humans</subject><subject>Liquid Biopsy - methods</subject><subject>Mucin-1 - metabolism</subject><subject>Neoplasms - diagnosis</subject><subject>Ovarian Neoplasms - diagnosis</subject><subject>Ovarian Neoplasms - metabolism</subject><subject>Ovarian Neoplasms - pathology</subject><issn>1525-1578</issn><issn>1943-7811</issn><issn>1943-7811</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kLlOAzEQhi0EIlxvgJBLml187NkgQQiHFImCo7Um9ixy8MZgbxDw9DgKINFQzRTfHP9HyCFnOWe8Opnn8947854LJoqcNTlj1QbZ4W0hs7rhfDP1pSgzXtbNiOzGOGeMF0UltslItlJUVc12SD_2zmtw9hMG6xfUd3QMC40hO4vRawsDGnpufQ_hGUOkCbmziyeHdPI-BNDo3NJBoI8YrXYYaecDnUBwH_QCB9R_l-6TrQ5cxIPvukceLif34-tsent1Mz6bZjqFqTKNHaQIUpYAYJoSS1Z3GmrOpJANliAQpGjbWramqWownS44q6GQ3UzPwMg9crze-xL86xLjoHobV7_CAv0yKsk5KxgvuUhosUZ18DEG7NRLsCnth-JMrUSruVqLVivRijUqiU5jR98XlrMeze_Qj9kEnK4BTDnfLAYVtcUkwdiQtCjj7f8XvgDruZJa</recordid><startdate>202412</startdate><enddate>202412</enddate><creator>Salem, Daniel P.</creator><creator>Bortolin, Laura T.</creator><creator>Gusenleitner, Dan</creator><creator>Grosha, Jonian</creator><creator>Zabroski, Ibukunoluwapo O.</creator><creator>Biette, Kelly M.</creator><creator>Banerjee, Sanchari</creator><creator>Sedlak, Christopher R.</creator><creator>Byrne, Delaney M.</creator><creator>Hamzeh, Bilal F.</creator><creator>King, MacKenzie S.</creator><creator>Cuoco, Lauren T.</creator><creator>Santos-Heiman, Timothy</creator><creator>Barcaskey, Gabrielle N.</creator><creator>Yang, Katherine S.</creator><creator>Duff, Peter A.</creator><creator>Winn-Deen, Emily S.</creator><creator>Guettouche, Toumy</creator><creator>Mattoon, Dawn R.</creator><creator>Huang, Eric K.</creator><creator>Schekman, Randy W.</creator><creator>Couvillon, Anthony D.</creator><creator>Sedlak, Joseph C.</creator><general>Elsevier Inc</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4146-3274</orcidid><orcidid>https://orcid.org/0009-0006-4806-2931</orcidid><orcidid>https://orcid.org/0000-0003-1665-6605</orcidid><orcidid>https://orcid.org/0000-0003-2444-635X</orcidid><orcidid>https://orcid.org/0009-0005-7342-3279</orcidid><orcidid>https://orcid.org/0000-0001-5640-7879</orcidid><orcidid>https://orcid.org/0000-0002-0969-7364</orcidid><orcidid>https://orcid.org/0000-0003-0182-950X</orcidid><orcidid>https://orcid.org/0000-0003-0481-8566</orcidid><orcidid>https://orcid.org/0009-0001-4198-5614</orcidid><orcidid>https://orcid.org/0009-0003-5059-4986</orcidid><orcidid>https://orcid.org/0000-0003-4444-6058</orcidid></search><sort><creationdate>202412</creationdate><title>Colocalization of Cancer-Associated Biomarkers on Single Extracellular Vesicles for Early Detection of Cancer</title><author>Salem, Daniel P. ; 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subjects | Biomarkers, Tumor Cell Line, Tumor Early Detection of Cancer - methods Extracellular Vesicles - metabolism Female Folate Receptor 1 - metabolism Humans Liquid Biopsy - methods Mucin-1 - metabolism Neoplasms - diagnosis Ovarian Neoplasms - diagnosis Ovarian Neoplasms - metabolism Ovarian Neoplasms - pathology |
title | Colocalization of Cancer-Associated Biomarkers on Single Extracellular Vesicles for Early Detection of Cancer |
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