Evidence map›Paper›PMID 36043432›Full record

ArticleJournal of extracellular vesicles2022

In situ hybridization to detect DNA amplification in extracellular vesicles.

Lucia Casadei, Patricia Sarchet, Fernanda Costas C de Faria, Federica Calore, Giovanni Nigita, Sayumi Tahara, Luciano Cascione, Martin Wabitsch, Francis J Hornicek, Valerie Grignol and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of extracellular vesicles, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Oncogenic Functions of Alternatively SplicedInternational journal of molecular sciences · 2024
    Article
  5. Article
  6. Article
  7. Engineering of Cell Derived-Nanovesicle as an Alternative to Exosome Therapy.Tissue engineering and regenerative medicine · 2024
    Review
  8. Review
  9. Article
  10. Review
  11. 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

12 authors at 4 institutions in 3 countries.

Lucia CasadeiThe Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA.
Patricia SarchetThe Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA.
Fernanda Costas C de FariaThe Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA.
Federica CaloreDepartment of Cancer Biology and Genetics, The Ohio State University, Columbus, Ohio, USA.
Giovanni NigitaDepartment of Cancer Biology and Genetics, The Ohio State University, Columbus, Ohio, USA.
Sayumi TaharaThe Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA.
Luciano CascioneInstitute of Oncology Research (IOR), Faculty of Biomedical Sciences, Università della Svizzera italiana (USI), Bellinzona, Switzerland, Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
Martin WabitschDepartment of Pediatrics and Adolescent Medicine Division of Paediatric Endocrinology and Diabetes Centre for Hormonal Disorders in Children and Adolescents, Ulm University Hospital, Ulm, Germany.
Francis J HornicekSarcoma Biology Laboratory, Department of Orthopaedics, Sylvester Comprehensive Cancer Center, and the University of Miami Miller School of Medicine, Miami, Florida, USA.
Valerie GrignolThe Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA.
Carlo M CroceDepartment of Cancer Biology and Genetics, The Ohio State University, Columbus, Ohio, USA.
Raphael E PollockThe Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA.
The Ohio State University · USSIB Swiss Institute of Bioinformatics · CHSylvester Comprehensive Cancer Center · USUniversity Hospital Ulm · DE

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Jennifer A. Woyach · 1985 to 2026
$132.3M
NCI NIH HHS P30 CA016058
6 · The paper itself

Abstract

EVs have emerged as an important component in tumour initiation, progression and metastasis. Although notable progresses have been made, the detection of EV cargoes remain significantly challenging for researchers to practically use; faster and more convenient methods are required to validate the EV cargoes, especially as biomarkers. Here we show, the possibility of examining embedded EVs as substrates to be used for detecting DNA amplification through ultrasensitive in situ hybridization (ISH). This methodology allows the visualization of DNA targets in a more direct manner, without time consuming optimization steps or particular expertise. Additionally, formalin-fixed paraffin-embedded (FFPE) blocks of EVs allows long-term preservation of samples, permitting future studies. We report here: (i) the successful isolation of EVs from liposarcoma tissues; (ii) the EV embedding in FFPE blocks (iii) the successful selective, specific ultrasensitive ISH examination of EVs derived from tissues, cell line, and sera; (iv) and the detection of MDM2 DNA amplification in EVs from liposarcoma tissues, cell lines and sera. Ultrasensitive ISH on EVs would enable cargo study while the application of ISH to serum EVs, could represent a possible novel methodology for diagnostic confirmation. Modification of probes may enable researchers to detect targets and specific DNA alterations directly in tumour EVs, thereby facilitating detection, diagnosis, and improved understanding of tumour biology relevant to many cancer types.

Indexed as

Extracellular VesiclesLiposarcomaDNAHumansIn Situ HybridizationDNAEV embeddingEV in situ hybridizationEVsextracellular vesicles (EVs)FISHsarcomatissue

Identifiers

PMID36043432
PMCPMC9428764
OpenAlexW4293740495

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.