ArticleThe Journal of molecular diagnostics : JMD2024
Improving Specificity for Ovarian Cancer Screening Using a Novel Extracellular Vesicle-Based Blood Test: Performance in a Training and Verification Cohort.
Article in The Journal of molecular diagnostics : JMD, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- A Scalable Bioreactor Platform for Reproducible Production and Characterization of Ovarian Cancer-Derived Extracellular Vesicles.Bioengineering (Basel, Switzerland) · 2026Article
- Detection of Extracellular Vesicles with Colocalized Surface Markers via a Capture-Release-Capture Strategy for Treatment Monitoring in Ewing Sarcoma.Advanced healthcare materials · 2026Article
- Leveraging extracellular vesicle biology for novel tests and therapeutics for kidney fibrosis.Clinical and translational medicine · 2026Review
- An Extracellular Vesicle Protein-Based Machine Learning Framework for Early Detection of Oesophageal Squamous Cell Carcinoma: A Multicentre, Prospective Study.Journal of extracellular vesicles · 2026Article
- Extracellular Vesicles and the Gartner Hype Cycle.Journal of extracellular biology · 2025Article
- Clinical relevance of extracellular vesicles in cancer - therapeutic and diagnostic potential.Nature reviews. Clinical oncology · 2025Review
- Innovations in Oncology Diagnostics: Genetic Research and Liquid Biopsy as Tools of Personalised Medicine.Asian Pacific journal of cancer prevention : APJCP · 2025Review
- Utilizing Serum-Derived Lipidomics with Protein Biomarkers and Machine Learning for Early Detection of Ovarian Cancer in the Symptomatic Population.Cancer research communications · 2025Article
- Colocalization of Cancer-Associated Biomarkers on Single Extracellular Vesicles for Early Detection of Cancer.The Journal of molecular diagnostics : JMD · 2024Article
Corrections and comments
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Authors and funding
27 authors.
Funding
Abstract
The low incidence of ovarian cancer (OC) dictates that any screening strategy needs to be both highly sensitive and highly specific. This study explored the utility of detecting multiple colocalized proteins or glycosylation epitopes on single tumor-associated extracellular vesicles from blood. The novel Mercy Halo Ovarian Cancer Test (OC Test) uses immunoaffinity capture of tumor-associated extracellular vesicles, followed by proximity-ligation real-time quantitative PCR to detect combinations of up to three biomarkers to maximize specificity, and measures multiple combinations to maximize sensitivity. A high-grade serous carcinoma (HGSC) case-control training set of EDTA plasma samples from 397 women was used to lock down the test design, the data interpretation algorithm, and the cutoff between cancer and noncancer. Performance was verified and compared with cancer antigen 125 in an independent blinded case-control set of serum samples from 390 women (132 controls, 66 HGSC, 83 non-HGSC OC, and 109 benign). In the verification study, the OC Test showed a specificity of 97.0% (128/132; 95% CI, 92.4%-99.6%), a HGSC sensitivity of 97.0% (64/66; 95% CI, 87.8%-99.2%), and an area under the curve of 0.97 (95% CI, 0.93-0.99) and detected 73.5% (61/83; 95% CI, 62.7%-82.6%) of the non-HGSC OC cases. This test exhibited fewer false positives in subjects with benign ovarian tumors, nonovarian cancers, and inflammatory conditions when compared with cancer antigen 125. The combined sensitivity and specificity of this new test suggests that it may have potential in OC screening.
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Registered trials
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