ArticleCancer research2024
Proteomic Profiling of Serum Extracellular Vesicles Identifies Diagnostic Signatures and Therapeutic Targets in Breast Cancer.
Article in Cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
36 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Salivary Extracellular Vesicles in Detection of Cancers Other than Head and Neck: A Systematic Review.Cells · 2025Pooled it
- Orchestrating the metastatic symphony: the role of extracellular vesicles in the epithelial-mesenchymal transition and pulmonary niche formation of breast cancer.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Understanding and targeting the tumour matrisome.Nature reviews. Clinical oncology · 2026Review
- Proteomic Biomarker Discovery in Breast Cancer: Advances, Challenges, and Translational Prospects.Journal of biochemical and molecular toxicology · 2026Review
- TALDO1 promotes lipid metabolic reprogramming and immunosuppressive microenvironment remodelling in hepatocellular carcinoma.Clinical and translational medicine · 2026Article
- Artificial intelligence virtual extracellular vesicles (AIVEVs).Bioactive materials · 2026Review
- Baseline Immune Signatures in Serum Extracellular Vesicles Distinguish Food-Induced from Wheat-Dependent Exercise-Induced Anaphylaxis.International journal of molecular sciences · 2026Article
- Clinical Applications of Blood-Derived Extracellular Vesicle Biomarkers in Breast Cancer: A Scoping Review.International journal of molecular sciences · 2026Article
- Recent advances in machine learning-enhanced extracellular vesicle omics for oncology.Journal of nanobiotechnology · 2026Review
- Profiling Protein Citrullination in Extracellular Vesicles by Single-Molecule Detection Using Direct Stochastic Optical Reconstruction Microscopy.Journal of biophotonics · 2026Article
- Extracellular vesicles as modulators of cancer metabolism and microenvironment.Extracellular vesicles and circulating nucleic acids · 2026Review
- Harnessing Natural Extracellular Vesicles to Combat Age-Related Diseases: From Aging Drivers to Therapeutic Opportunities.International journal of nanomedicine · 2026Review
- Source-Specific Extracellular Vesicle Functions and Engineering Strategies for Chronic Pain Management: A Comprehensive Review.International journal of nanomedicine · 2026Review
- Liquid Biopsy and Multi-Omic Biomarkers in Breast Cancer: Innovations in Early Detection, Therapy Guidance, and Disease Monitoring.Biomedicines · 2025Review
- Clinical relevance of extracellular vesicles in cancer - therapeutic and diagnostic potential.Nature reviews. Clinical oncology · 2025Review
- A novel four-serum marker model for early detection and therapeutic monitoring of breast cancer.Scientific reports · 2025Article
- Evolving stratification and biomarker discovery in cancer research with technological advancement of proteomics: 35 years and counting.Bioscience reports · 2025Review
- Bibliometric analysis of global research trends in delivery systems for breast cancer immunotherapy.Discover oncology · 2025Article
- When Fat Talks: How Adipose-Derived Extracellular Vesicles Fuel Breast Cancer.International journal of molecular sciences · 2025Article
Corrections and comments
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Authors and funding
20 authors.
Funding
Abstract
Analysis of extracellular vesicles (EV) is a promising noninvasive liquid biopsy approach for breast cancer detection, prognosis, and therapeutic monitoring. A comprehensive understanding of the characteristics and proteomic composition of breast cancer-specific EVs from human samples is required to realize the potential of this strategy. In this study, we applied a mass spectrometry-based, data-independent acquisition proteomic approach to characterize human serum EVs derived from patients with breast cancer (n = 126) and healthy donors (n = 70) in a discovery cohort and validated the findings in five independent cohorts. Examination of the EV proteomes enabled the construction of specific EV protein classifiers for diagnosing breast cancer and distinguishing patients with metastatic disease. Of note, TALDO1 was found to be an EV biomarker of distant metastasis of breast cancer. In vitro and in vivo analysis confirmed the role of TALDO1 in stimulating breast cancer invasion and metastasis. Finally, high-throughput molecular docking and virtual screening of a library consisting of 271,380 small molecules identified a potent TALDO1 allosteric inhibitor, AO-022, which could inhibit breast cancer migration in vitro and tumor progression in vivo. Together, this work elucidates the proteomic alterations in the serum EVs of breast cancer patients to guide the development of improved diagnosis, monitoring, and treatment strategies. Significance: Characterization of the proteomic composition of circulating extracellar vesicles in breast cancer patients identifies signatures for diagnosing primary and metastatic tumors and reveals tumor-promoting cargo that can be targeted to improve outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.