ReviewMaterials today. Bio2026
Nanomaterial-based total analysis systems for isolation and detection of exosomal biomarkers in cancer diagnosis.
Review in Materials today. Bio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
2 citing papers in PubMed.
- Nanomaterial-nucleic acid probe synergy: accelerating rapid pathogen detection and antimicrobial susceptibility testing in bloodstream infections.Folia microbiologica · 2026Review
- Exosome-Based Liquid Biopsy in Biliary Tract Cancer: Nanotechnology-Enabled Strategies and Future Perspectives.International journal of nanomedicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Exosomes are nanoscale extracellular vesicles secreted by both cancerous and healthy cells that carry a diverse array of biomolecules, including nucleic acids and proteins, reflecting the physiological and pathological states of their cells of origin. This makes them highly promising biomarkers for liquid biopsy-based cancer diagnostics. However, conventional methods for exosome analysis from isolation to detection are often time-consuming, labor-intensive, and lack the sensitivity and specificity required for clinical applications. To address these limitations, nanomaterials are increasingly recognized as powerful tools for both exosome isolation and biomarker detection. Their unique physicochemical properties enable enhanced capture efficiency, precise molecular recognition, and signal amplification. In recent years, there has been increasing interest in developing nanomaterial-based total analysis systems (TAS) that seamlessly integrate exosome isolation and detection into unified, high-throughput diagnostic platforms. Consolidating the fragmented workflow into compact, high-throughput devices, these TAS hold strong promise for clinical and point-of-care (POC) applications. While previous reviews have primarily focused on either isolation or detection strategies, this work provides comprehensive overview dedicated to integrated nanomaterial-based TAS that combines both isolation and detection in a single platform. In this review, we discuss the biological relevance of exosome proteins and miRNAs as cancer biomarkers. We then examine nanomaterial-assisted strategies for exosome isolation and for signal transduction and amplification in exosome biomarker detection. Finally, we highlight newly developed TAS for exosome analysis, most reported in studies published between 2023 and 2025, emphasizing their potential for clinical application and POC applications. This review aims to establish a roadmap for future innovations in exosome-based diagnostics enabled by nanotechnology. To this end, we critically assess the current challenges and outline future directions, providing perspectives for their clinical translation.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.