Evidence map›Paper›PMID 41685362›Full record

ReviewMaterials today. Bio2026

Nanomaterial-based total analysis systems for isolation and detection of exosomal biomarkers in cancer diagnosis.

Myeong-Jun Lee, Minkyu Shin, Sangeun Lee, Shan Liu, Sang-Nam Lee, Jeong-Woo Choi

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Myeong-Jun LeeDepartment of Chemical & Biomolecular Engineering, Sogang University, Seoul, Republic of Korea.
Minkyu ShinDepartment of Chemical Engineering, Research Center of Chemical Technology, Hankyong National University, Gyeonggi-do, Republic of Korea.
Sangeun LeeDepartment of Chemical & Biomolecular Engineering, Sogang University, Seoul, Republic of Korea.
Shan LiuSichuan Provincial Key Laboratory for Human Disease Gene Study, Department of Medical Genetics, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Sang-Nam LeeUniance Gene Inc., Seoul, Republic of Korea.
Jeong-Woo ChoiDepartment of Chemical & Biomolecular Engineering, Sogang University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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

CancerDetectionExosomeIsolationNanotechnologyTotal analysis system

Identifiers

PMID41685362
PMCPMC12890857

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.