Evidence map›Paper›PMID 34352059›Full record

ReviewLab on a chip2021

Advances in microfluidic extracellular vesicle analysis for cancer diagnostics.

Shibo Cheng, Yutao Li, He Yan, Yunjie Wen, Xin Zhou, Lee Friedman, Yong Zeng

Open access · greenAbstract readReview
In one paragraph

Review in Lab on a chip, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Extracellular vesicles in spine tumors: biological roles, immune modulation, and therapeutic implications.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Review
  9. SERSµDrop: A Platform to Study Cell-Cell Communication via SERS Imaging.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Extracellular vesicles in laboratory medicine: a review and outlook.Frontiers in cell and developmental biology · 2025
    Review
  17. Review
  18. Article
  19. Article
  20. Tumor-derived Exosomes and Antitumor Immunity.Journal of immunology (Baltimore, Md. : 1950) · 2024
    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

7 authors at 2 institutions in 1 country.

Shibo ChengDepartment of Chemistry, University of Florida, Gainesville, FL 32611, USA. zengy@ufl.edu.
Yutao Li
He Yan
Yunjie Wen
Xin Zhou
Lee Friedman
Yong Zeng
University of Florida · USUniversity of Florida Health · US

Funding

Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Kalyani Pyaram, Steven Allan Soper · 2019 to 2026
$21.5M
Extracellular Vesicle Proteomic Fingerprinting of Ovarian Cancer for Early Detection with a Nanoengineered MicrosystemR01CA260132 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI GODWIN, ANDREW K., ZENG, YONG · 2021 to 2025
$3.4M
Nano-Engineered Lab-on-a-Chip for Assessing HuR-Regulated Exosomes for Cancer Monitoring and Targeted TherapyR01CA243445 · NCI · UNIVERSITY OF KANSAS LAWRENCE · PI DIXON, DAN ALAN, XU, LIANG · 2019 to 2023
$3.0M
Integrated exosomes profiling for minimally invasive diagnosis and monitoring of cancerR33CA214333 · NCI · UNIVERSITY OF KANSAS LAWRENCE · PI GODWIN, ANDREW K., ZENG, YONG · 2017 to 2019
$1.2M
Integrative Functional Profiling of Tumor-Derived Extracellular VesiclesR33CA252158 · NCI · UNIVERSITY OF FLORIDA · PI XU, LIANG, ZENG, YONG · 2021 to 2024
$1.0M
NCI NIH HHS R01 CA243445NCI NIH HHS R01 CA260132NCI NIH HHS R33 CA214333NCI NIH HHS R33 CA252158NIGMS NIH HHS P20 GM130423
6 · The paper itself

Abstract

Extracellular vesicles (EVs) secreted by cells into the bloodstream and other bodily fluids, including exosomes, have been demonstrated to be a class of significant messengers that mediate intercellular communications. Tumor-derived extracellular vesicles are enriched in a selective set of biomolecules from original cells, including proteins, nucleic acids, and lipids, and thus offer a new perspective of liquid biopsy for cancer diagnosis and therapeutic monitoring. Owing to the heterogeneity of their biogenesis, physical properties, and molecular constituents, isolation and molecular characterization of EVs remain highly challenging. Microfluidics provides a disruptive platform for EV isolation and analysis owing to its inherent advantages to promote the development of new molecular and cellular sensing systems with improved sensitivity, specificity, spatial and temporal resolution, and throughput. This review summarizes the state-of-the-art advances in the development of microfluidic principles and devices for EV isolation and biophysical or biochemical characterization, in comparison to the conventional counterparts. We will also survey the progress in adapting the new microfluidic techniques to assess the emerging EV-associated biomarkers, mostly focused on proteins and nucleic acids, for clinical diagnosis and prognosis of cancer. Lastly, we will discuss the current challenges in the field of EV research and our outlook on future development of enabling microfluidic platforms for EV-based liquid biopsy.

Indexed as

Extracellular VesiclesMicrofluidic Analytical TechniquesNeoplasmsHumansLiquid BiopsyMicrofluidics

Identifiers

PMID34352059
PMCPMC8387453
OpenAlexW3183292843

What OpenQuestion holds

Textmetadata
LicenceTDM
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.