Evidence map›Paper›PMID 29090896›Full record

ArticleACS nano2017

The Exosome Total Isolation Chip.

Fei Liu, Ophir Vermesh, Vigneshwaran Mani, Tianjia J Ge, Steven J Madsen, Andrew Sabour, En-Chi Hsu, Gayatri Gowrishankar, Masamitsu Kanada, Jesse V Jokerst and 11 more

Abstract read
In one paragraph

Article in ACS nano, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 196 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
196citing papers in PubMed, 2 pooled it
–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

196 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Review

136 more citing papers are in PubMed but not listed here.

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

21 authors.

Fei LiuSchool of Ophthalmology & Optometry, School of Biomedical Engineering, Wenzhou Medical University , Wenzhou, Zhejiang 325035, China.
Ophir Vermesh
Vigneshwaran Mani
Tianjia J Ge
Andrew Sabour
En-Chi Hsu
Gayatri Gowrishankar
Masamitsu KanadaDepartment of Pharmacology & Toxicology, and Institute for Quantitative Health Science and Engineering (IQ), Michigan State University , East Lansing, Michigan 48824, United States.
Jesse V JokerstDepartment of NanoEngineering, University of California, San Diego , La Jolla, California 92093, United States.
Raymond G SierraStanford PULSE Institute, SLAC National Accelerator Lab, Menlo Park, California 94025, United States.
Edwin Chang
Kenneth Lau
Kaushik Sridhar
Abel Bermudez
Tanya Stoyanova
Robert Sinclair
Viswam S Nair
Sanjiv S Gambhir

Funding

Nano Characterization and Nano Fabrication CoreU54CA199075 · NCI · STANFORD UNIVERSITY · PI SINCLAIR, ROBERT · 2015 to 2019
$9.6M
A Therapeutic Tool for Ultrasound-Guided Stem Cell TherapyR00HL117048 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JOKERST, JESSE VINCENT · 2015 to 2017
$747k
A Therapeutic Tool for ULtrasound-Guided Stem Cell TherapyK99HL117048 · NHLBI · STANFORD UNIVERSITY · PI JOKERST, JESSE VINCENT · 2014 to 2015
$265k
Elucidating Novel Mechanisms Underlying Prostate Cancer DevelopmentR03CA230819 · NCI · STANFORD UNIVERSITY · PI STOYANOVA, TANYA I · 2018 to 2019
$160k
NCI NIH HHS R03 CA230819NCI NIH HHS U54 CA199075NHLBI NIH HHS K99 HL117048NHLBI NIH HHS R00 HL117048
6 · The paper itself

Abstract

Circulating tumor-derived extracellular vesicles (EVs) have emerged as a promising source for identifying cancer biomarkers for early cancer detection. However, the clinical utility of EVs has thus far been limited by the fact that most EV isolation methods are tedious, nonstandardized, and require bulky instrumentation such as ultracentrifugation (UC). Here, we report a size-based EV isolation tool called ExoTIC (exosome total isolation chip), which is simple, easy-to-use, modular, and facilitates high-yield and high-purity EV isolation from biofluids. ExoTIC achieves an EV yield ∼4-1000-fold higher than that with UC, and EV-derived protein and microRNA levels are well-correlated between the two methods. Moreover, we demonstrate that ExoTIC is a modular platform that can sort a heterogeneous population of cancer cell line EVs based on size. Further, we utilize ExoTIC to isolate EVs from cancer patient clinical samples, including plasma, urine, and lavage, demonstrating the device's broad applicability to cancers and other diseases. Finally, the ability of ExoTIC to efficiently isolate EVs from small sample volumes opens up avenues for preclinical studies in small animal tumor models and for point-of-care EV-based clinical testing from fingerprick quantities (10-100 μL) of blood.

Indexed as

Early Detection of CancerBiomarkers, TumorBlood ProteinsExosomesExtracellular VesiclesHumansMicroRNAsNeoplasmsNeoplastic Cells, CirculatingUltracentrifugationBiomarkers, TumorBlood ProteinsMicroRNAsbiofluidsexosome total isolation chipExoTICisolationlung cancertumor-derived extracellular vesicles

Identifiers

PMID29090896
PMCPMC5983373

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.