ArticleMolecular oncology2024
Single extracellular vesicle surface protein-based blood assay identifies potential biomarkers for detection and screening of five cancers.
Article in Molecular oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 21 citations in OpenAlex.
- Biomolecular Corona of Extracellular Vesicles: Report on Isev Workshop.Journal of extracellular biology · 2026Article
- A MUC1-ALIX complex regulates extracellular vesicle cargo loading with activated SRC to enhance pancreatic cancer progression.Cancer letters · 2026Article
- Artificial Intelligence-Enabled Bioengineering of Extracellular Vesicle Platforms in Cardiovascular Medicine.Bioengineering (Basel, Switzerland) · 2026Review
- Computational frameworks for enhanced extracellular vesicle biomarker discovery.Experimental & molecular medicine · 2026Review
- Machine learning for extracellular vesicles enables diagnostic and therapeutic nanobiotechnology.Journal of nanobiotechnology · 2026Review
- Extracellular Vesicles for Clinical Diagnostics: From Bulk Measurements to Single-Vesicle Analysis.ACS nano · 2025Review
- The extracellular vesicle biomolecular corona: current insights and diagnostic potential.Nanomedicine (London, England) · 2025Review
- Systematic Evaluation of Isolation Techniques and Freeze-Thaw Effects on Plasma Extracellular Vesicle Heterogeneity and Subpopulation Profiling.Journal of extracellular biology · 2025Article
- [Progress and prospect of separation and analysis of single-cell and single-particle exosomes].Se pu = Chinese journal of chromatography · 2025Review
- Breath- and blood-based molecular assessment for gastroesophageal cancer.ESMO gastrointestinal oncology · 2025Review
- Effect of Extracellular Vesicles Derived From Tumor Cells on Immune Evasion.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- On the dilemma of using single EV analysis for liquid biopsy: the challenge of low abundance of tumor EVs in blood.Theranostics · 2025Review
- A cross-cohort study identifies potential oral microbial markers for esophageal squamous cell carcinoma.iScience · 2024Article
- Approaches and Challenges in Characterizing the Molecular Content of Extracellular Vesicles for Biomarker Discovery.Biomolecules · 2024Review
- Connections Between Endoplasmic Reticulum Stress and Prognosis of Hepatocarcinoma.Bioengineering (Basel, Switzerland) · 2024Article
- Review
- Function and mechanism of exosomes derived from different cells as communication mediators in colorectal cancer metastasis.iScience · 2024Review
- Extracellular Vesicles as Next-Generation Biomarkers in Lung Cancer Patients: A Case Report on Adenocarcinoma and Squamous Cell Carcinoma.Life (Basel, Switzerland) · 2024Article
- Hsp70 and Calcitonin Receptor Protein in Extracellular Vesicles from Glioblastoma Multiforme: Biomarkers with Putative Roles in Carcinogenesis and Potential for Differentiating Tumor Types.International journal of molecular sciences · 2024Article
Corrections and comments
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Authors and funding
15 authors at 4 institutions in 2 countries.
Funding
Abstract
Extracellular vesicles (EVs) and EV proteins are promising biomarkers for cancer liquid biopsy. Herein, we designed a case-control study involving 100 controls and 100 patients with esophageal, stomach, colorectal, liver, or lung cancer to identify common and type-specific biomarkers of plasma-derived EV surface proteins for the five cancers. EV surface proteins were profiled using a sequencing-based proximity barcoding assay. In this study, five differentially expressed proteins (DEPs) and eight differentially expressed protein combinations (DEPCs) showed promising performance (area under curve, AUC > 0.900) in pan-cancer identification [e.g., TENM2 (AUC = 0.982), CD36 (AUC = 0.974), and CD36-ITGA1 (AUC = 0.971)]. Our classification model could properly discriminate between cancer patients and controls using DEPs (AUC = 0.981) or DEPCs (AUC = 0.965). When distinguishing one cancer from the other four, the accuracy of the classification model using DEPCs (85-92%) was higher than that using DEPs (78-84%). We validated the performance in an additional 14 cancer patients and 14 controls, and achieved an AUC value of 0.786 for DEPs and 0.622 for DEPCs, highlighting the necessity to recruit a larger cohort for further validation. When clustering EVs into subpopulations, we detected cluster-specific proteins highly expressed in immune-related tissues. In the context of colorectal cancer, we identified heterogeneous EV clusters enriched in cancer patients, correlating with tumor initiation and progression. These findings provide epidemiological and molecular evidence for the clinical application of EV proteins in cancer prediction, while also illuminating their functional roles in cancer physiopathology.
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