Evidence map›Paper›PMID 34463056›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2021

Advanced Nanotechnologies for Extracellular Vesicle-Based Liquid Biopsy.

Li Min, Binshuai Wang, Han Bao, Xinran Li, Libo Zhao, Jingxin Meng, Shutao Wang

Open access · goldAbstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% of its field
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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 111 citations in OpenAlex.

  1. Pooled it
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  16. Recent Advancements in Lung Cancer Metastasis Prevention Based on Nanostrategies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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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

7 authors at 4 institutions in 1 country.

Li MinDepartment of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Disease, Beijing, 100050, P. R. China.
Binshuai WangDepartment of Urology, Peking University Third Hospital, Beijing, 100191, P. R. China.
Han BaoKey Laboratory of Bio-inspired Materials and Interfacial Science, CAS Center for Excellence in Nanoscience, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, 100190, P. R. China.
Xinran LiDepartment of Urology, Peking University Third Hospital, Beijing, 100191, P. R. China.
Libo ZhaoEcho Biotech Co., Ltd., Beijing, 102206, P. R. China.
Jingxin MengKey Laboratory of Bio-inspired Materials and Interfacial Science, CAS Center for Excellence in Nanoscience, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, 100190, P. R. China.ORCID 0000-0002-4160-9790
Shutao WangKey Laboratory of Bio-inspired Materials and Interfacial Science, CAS Center for Excellence in Nanoscience, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, 100190, P. R. China.ORCID 0000-0002-2559-5181
Chinese Academy of Sciences · CNPeking University · CNCapital Medical University · CNSinovac Biotech · CN

Funding

Beijing Municipal Science and Technology Project Z191100006619081Beijing Science and Technology Nova Program Z191100001119128National Key R&D Program of China 2019YFA0709300National Natural Science Foundation of China 21875269National Natural Science Foundation of China 81702314National Natural Science Foundation of China 82073390National Program for Special Support of Eminent ProfessionalsYouth Innovation Promotion Association CAS 2017036
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are emerging as a new source of biomarkers in liquid biopsy because of their wide presence in most body fluids and their ability to load cargoes from disease-related cells. Owing to the crucial role of EVs in disease diagnosis and treatment, significant efforts have been made to isolate, detect, and analyze EVs with high efficiency. A recent overview of advanced EV detection nanotechnologies is discussed here. First, several key challenges in EV-based liquid biopsies are introduced. Then, the related pivotal advances in nanotechnologies for EV isolation based on physical features, chemical affinity, and the combination of nanostructures and chemical affinity are summarized. Next, a summary of high-sensitivity sensors for EV detection and advanced approaches for single EV detection are provided. Later, EV analysis is introduced in practical clinical scenarios, and the application of machine learning in this field is highlighted. Finally, future opportunities for the development of next-generation nanotechnologies for EV detection are presented.

Indexed as

NanotechnologyBiomarkers, TumorExtracellular VesiclesHumansLiquid BiopsyMachine LearningNanostructuresNeoplasmsBiomarkers, Tumorcancerdisease diagnosisextracellular vesiclesliquid biopsynanotechnologies

Identifiers

PMID34463056
PMCPMC8529441
OpenAlexW3197164816

What OpenQuestion 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 OpenQuestion graph.