Evidence map›Paper›PMID 33103361›Full record

ArticleAdvanced biosystems2020

Bead-Based Extracellular Vesicle Analysis Using Flow Cytometry.

Katherine S Yang, Hsing-Ying Lin, Caleigh Curley, Marisa W Welch, Brian M Wolpin, Hakho Lee, Ralph Weissleder, Hyungsoon Im, Cesar M Castro

Open access · greenAbstract read
In one paragraph

Article in Advanced biosystems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Extracellular Vesicle Preparation and Analysis: A State-of-the-Art Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Plasmon-Enhanced Single Extracellular Vesicle Analysis for Cholangiocarcinoma Diagnosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  15. Review
  16. Article
  17. Review
  18. Article
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

9 authors at 3 institutions in 1 country.

Katherine S YangCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Hsing-Ying LinCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Caleigh CurleyCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Marisa W WelchDana-Farber Cancer Institute, Boston, MA, 02115, USA.
Brian M WolpinDana-Farber Cancer Institute, Boston, MA, 02115, USA.
Hakho LeeCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Ralph WeisslederCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Hyungsoon ImCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.
Cesar M CastroCenter for Systems Biology, Massachusetts General Hospital, Boston, MA, 02114, USA.ORCID 0000-0002-7527-2233
Massachusetts General Hospital · USDana-Farber Cancer Institute · USHarvard University · US

Funding

The role of microvesicles in giloma virotherapyP01CA069246 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHAREST, ALAIN · 1996 to 2021
$30.9M
Circulating Biomarker Consortium for Pancreatic Cancer Early DetectionU01CA210171 · NCI · DANA-FARBER CANCER INST · PI Michael H. Rosenthal, Brian Matthew Wolpin · 2016 to 2026
$8.7M
Early Detection through Novel OCEAN Technology - Ovarian Cancer Exosomal Analysis with NanoplasmonicsU01CA233360 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CASTRO, CESAR M, DINULESCU, DANIELA M · 2018 to 2022
$3.5M
MAGNETIC NANOSENSORS FOR BIOMEDICAL ANALYSES OF MICROVESICLESR01HL113156 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO · 2012 to 2016
$2.1M
Multiplexed analysis of exosomes in cancer nano therapyR01CA204019 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2016 to 2020
$1.9M
Ultrasenstive vesicle analysis in precancerous pancreatic neoplasm (IPMN)R01CA237332 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2020 to 2024
$1.9M
Novel Nano-Plasmonic Technology for Quantitative Analysis of Cancer ExosomesR00CA201248 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI IM, HYUNGSOON · 2017 to 2019
$968k
Nano-plasmonic technology for high-throughput single exosome analysesR21CA217662 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI IM, HYUNGSOON · 2019 to 2021
$585k
Single Circulating Vesicle Analysis for Early Cancer DetectionR21CA236561 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2019 to 2021
$585k
Multiplexed exosome analyses with DNA barcodingR21CA205322 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO · 2016 to 2017
$440k
NCI NIH HHS P01 CA069246NCI NIH HHS R00 CA201248NCI NIH HHS R01 CA204019NCI NIH HHS R01 CA237332NCI NIH HHS R21 CA205322NCI NIH HHS R21 CA217662NCI NIH HHS R21 CA236561NCI NIH HHS U01 CA210171NCI NIH HHS U01 CA233360NHLBI NIH HHS R01 HL113156NIH HHS P01CA069246NIH HHS R00CA201248NIH HHS R01CA204019NIH HHS R01HL113156NIH HHS R21CA205322NIH HHS R21CA217662NIH HHS U01CA210171
6 · The paper itself

Abstract

Extracellular vesicles (EVs) represent promising circulating biomarkers for cancers, but their high-throughput analyses in clinical settings prove challenging due to lack of simple, fast, and robust EV assays. Here, a bead-based EV assay detected by flow cytometry is described, which integrates EV capture using microbeads with EV protein analyses by flow cytometry. The assay is fast (<4 h for 48 samples), robust, and compatible with conventional flow cytometry instruments for high-throughput EV analysis. With the method, a panel of pancreatic cancer biomarkers in EVs from plasma samples of pancreatic cancer patients is successfully analyzed. The assay is readily translatable to other biomarkers or cancer types and can be run with standard materials on conventional flow cytometers, making it highly flexible and adaptable to diverse research and clinical needs.

Indexed as

Extracellular VesiclesBiomarkers, TumorBiotinylationFlow CytometryHumansPancreatic NeoplasmsBiomarkers, Tumorbiomarkersdiagnosisextracellular vesiclesflow cytometrypancreatic cancer

Identifiers

PMID33103361
PMCPMC7718389
OpenAlexW3094142177

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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.