ArticleNature communications2026
Homotypic membrane-powered electrochemical microfluidic analysis of extracellular vesicles for precise cancer diagnosis.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Review
- Controllable Cascade Aggregation Ion Programmed Nanomachines and Simple Isolation Enable Tumor-Derived Small Extracellular Vesicles Detection for Enhanced Breast Cancer Assessment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Exosome-Based Liquid Biopsy in Biliary Tract Cancer: Nanotechnology-Enabled Strategies and Future Perspectives.International journal of nanomedicine · 2026Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
The cancer cell membrane, rich in tumor-associated antigens, effectively replicates the characteristics of cancer cells by presenting specific protein profiles. Leveraging the inherent binding capability of the cancer cell membrane, here we show a homotypic membrane-powered biomimetic interface for subtype-specific analysis of breast cancer extracellular vesicles (EVs). Specifically, the breast cancer cell membrane is employed to coat a gold substrate, thereby forming the biomimetic interface capable of selectively binding breast cancer EVs with similar subtype features. Subsequently, silver nanoparticles-tethered antibodies are adopted as electroactive immunoprobes to label these EVs, generating distinct electrochemical signals for quantitative analysis. Research findings demonstrate high selectivity and sensitivity of the interface for analyzing target EVs. Based on this, an electrochemical microfluidic device is developed and validated for its effectiveness in identifying subtype features of breast cancer patients. Therefore, our work provides a simple yet efficient platform for precise cancer diagnosis and personalized treatment.
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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.