Evidence map›Paper›PMID 35624008›Full record

ReviewTrends in molecular medicine2022

Single extracellular vesicle analysis for early cancer detection.

Scott Ferguson, Katherine S Yang, Ralph Weissleder

Open access · greenAbstract readReview
In one paragraph

Review in Trends in molecular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 2 pooled it
8.1field-weighted citation impact, top 1% 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

63 citing papers in PubMed, 2 syntheses or guidelines pooled it, 100 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. MVB Maturation Responsive to KRASJournal of extracellular vesicles · 2026
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3 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

3 authors at 2 institutions in 1 country.

Scott FergusonCenter for Systems Biology, Massachusetts General Hospital, 185 Cambridge St, CPZN 5206, Boston, MA 02114, USA.
Katherine S YangCenter for Systems Biology, Massachusetts General Hospital, 185 Cambridge St, CPZN 5206, Boston, MA 02114, USA.
Ralph WeisslederCenter for Systems Biology, Massachusetts General Hospital, 185 Cambridge St, CPZN 5206, Boston, MA 02114, USA; Department of Systems Biology, Harvard Medical School, 200 Longwood Ave, Boston, MA 02115, USA. Electronic address: rweissleder@mgh.harvard.edu.
Massachusetts General Hospital · USHarvard University · US

Funding

The role of microvesicles in giloma virotherapyP01CA069246 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHIOCCA, E. ANTONIO · 1996 to 2021
$30.9M
Training Grant in Molecular Imaging Research (MGH/HMS)T32CA079443 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2000 to 2025
$10.1M
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
Single Circulating Vesicle Analysis for Early Cancer DetectionR21CA236561 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2019 to 2021
$585k
NCI NIH HHS P01 CA069246NCI NIH HHS R01 CA204019NCI NIH HHS R01 CA237332NCI NIH HHS R21 CA236561NCI NIH HHS T32 CA079443
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are actively shed into the circulation from both cancer and host cells. EVs are emerging as one of the diagnostic frontrunners for early cancer detection, disease monitoring, and treatment evaluation. The advantages of EVs rely on the fact that vesicles are being shed by dividing tumor cells, with indications that human and viral oncogenes, cellular metabolic rate, and tumor characteristics such as pH and hypoxia contribute to the high shed rates in cancer. In this review, we provide an overview of EVs and the rationale for using them for early cancer detection. We examine emerging technologies for single EV analysis (sEVA) and why these technologies will be necessary for early cancer detection.

Indexed as

Extracellular VesiclesNeoplasmsHumanscancerearly detectionexosomeextracellular vesicle

Identifiers

PMID35624008
PMCPMC9339504
OpenAlexW4281382773

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.