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Salem DP, Bortolin LT, Gusenleitner D, Grosha J, Zabroski IO, Biette KM, Banerjee S, Sedlak CR, Byrne DM, Hamzeh BF, King MS, Cuoco LT, Santos-Heiman T, Barcaskey GN, Yang KS, Duff PA, Winn-Deen ES, Guettouche T, Mattoon DR, Huang EK, Schekman RW, Couvillon AD, Sedlak JC. Colocalization of Cancer-Associated Biomarkers on Single Extracellular Vesicles for Early Detection of Cancer. J Mol Diagn 2024:S1525-1578(24)00209-5. [PMID: 39326670 DOI: 10.1016/j.jmoldx.2024.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 07/16/2024] [Accepted: 08/30/2024] [Indexed: 09/28/2024] Open
Abstract
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. Detection of their presence is made more difficult by a lack of abundant tumor-specific indicators (ie, protein biomarkers, circulating tumor DNA) that would 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.
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Affiliation(s)
| | | | | | | | | | | | | | - Christopher R Sedlak
- Mercy BioAnalytics Inc., Waltham, Massachusetts; Former Mercy BioAnalytics employee
| | | | | | | | | | | | | | | | | | | | | | | | | | - Randy W Schekman
- HHMI Investigator, Department of Molecular and Cell Biology, Li Ka Shing Center, University of California Berkeley, Berkeley, California
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