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Updated: Feb 13, 2026

Author Spotlight: Advancing the Analysis of Plasma Extracellular Vesicle Proteome for Cardiovascular Biomarker Studies
Published on: January 31, 2025
Extracellular Vesicle Associated Proteomic Biomarkers in Breast Cancer: A Systematic Review and Meta-Analysis
Nahad Al-Mahrouqi1, Hasan Al-Sayegh1, Shoaib Al-Zadjali1
1Research Laboratories, Sultan Qaboos Comprehensive Cancer Care & Research Center, University Medical City, Al Khoud, Muscat 123, Oman.
This study identifies a unique protein signature in extracellular vesicles (EVs) from breast cancer patients. This discovery could lead to less invasive diagnostic tests for early detection and monitoring of breast cancer.
Area of Science:
- Oncology
- Biochemistry
- Molecular Biology
Background:
- Breast cancer is a leading cause of mortality worldwide.
- Current diagnostic methods are invasive and may not capture tumor heterogeneity.
- Extracellular vesicles (EVs) are promising non-invasive biomarkers due to their tumor-specific cargo.
Purpose of the Study:
- To systematically review and analyze the proteomic alterations in EVs from breast cancer patients.
- To identify a consistent EV proteomic signature for breast cancer.
- To explore the potential of EV proteomics for clinical applications.
Main Methods:
- Systematic review and meta-analysis of published literature.
- Screening of 1097 records, with four eligible studies included.
- Analysis of differentially expressed proteins in breast cancer-derived EVs.
Main Results:
- Identified 628 differentially expressed proteins, with 38 consistently found across studies.
- Functional enrichment revealed proteins involved in cell growth, immune regulation, and tumor progression.
- Pathway analysis highlighted integrin-mediated interactions, platelet activation, and hemostasis.
Conclusions:
- A distinct EV proteomic signature exists in breast cancer.
- This signature shows potential for early detection and patient monitoring via minimally invasive tests.
- Further large-scale, standardized studies are required to validate findings for clinical use.
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