Evidence map›Paper›PMID 37286718›Full record

ArticleScientific reports2023

Small RNA sequencing analysis of peptide-affinity isolated plasma extracellular vesicles distinguishes pancreatic cancer patients from non-affected individuals.

Jeremy W Roy, Gabriel Wajnberg, Alexie Ouellette, Julie Emilie Boucher, Jacynthe Lacroix, Simi Chacko, Anirban Ghosh, Rodney J Ouellette, Stephen M Lewis

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Extracellular vesicles in pancreatic cancer: a new era in precision medicine.Translational gastroenterology and hepatology · 2024
    Review
  7. Review
  8. Article
  9. 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.

Jeremy W RoyAtlantic Cancer Research Institute, Moncton, NB, Canada.
Gabriel WajnbergAtlantic Cancer Research Institute, Moncton, NB, Canada.
Alexie OuelletteAtlantic Cancer Research Institute, Moncton, NB, Canada.
Julie Emilie BoucherAtlantic Cancer Research Institute, Moncton, NB, Canada.
Jacynthe LacroixAtlantic Cancer Research Institute, Moncton, NB, Canada.
Simi ChackoAtlantic Cancer Research Institute, Moncton, NB, Canada.
Anirban GhoshAtlantic Cancer Research Institute, Moncton, NB, Canada.
Rodney J OuelletteAtlantic Cancer Research Institute, Moncton, NB, Canada.
Stephen M LewisAtlantic Cancer Research Institute, Moncton, NB, Canada. stephenl@canceratl.ca.
Atlantic Cancer Research Institute · CADr. Georges-L.-Dumont University Hospital Centre · CAUniversité de Moncton · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) has a high fatality rate, mainly due to its asymptomatic nature until late-stage disease and therefore delayed diagnosis that leads to a lack of timely treatment intervention. Consequently, there is a significant need for better methods to screen populations that are at high risk of developing PDAC. Such advances would result in earlier diagnosis, more treatment options, and ultimately better outcomes for patients. Several recent studies have applied the concept of liquid biopsy, which is the sampling of a biofluid (such as blood plasma) for the presence of disease biomarkers, to develop screening approaches for PDAC; several of these studies have focused on analysis of extracellular vesicles (EVs) and their cargoes. While these studies have identified many potential biomarkers for PDAC that are present within EVs, their application to clinical practice is hindered by the lack of a robust, reproducible method for EV isolation and analysis that is amenable to a clinical setting. Our previous research has shown that the Vn96 synthetic peptide is indeed a robust and reproducible method for EV isolation that has the potential to be used in a clinical setting. We have therefore chosen to investigate the utility of the Vn96 synthetic peptide for this isolation of EVs from human plasma and the subsequent detection of small RNA biomarkers of PDAC by Next-generation sequencing (NGS) analysis. We find that analysis of small RNA from Vn96-isolated EVs permits the discrimination of PDAC patients from non-affected individuals. Moreover, analyses of all small RNA species, miRNAs, and lncRNA fragments are most effective at segregating PDAC patients from non-affected individuals. Several of the identified small RNA biomarkers have been previously associated with and/or characterized in PDAC, indicating the validity of our findings, whereas other identified small RNA biomarkers may have novel roles in PDAC or cancer in general. Overall, our results provide a basis for a clinically-amendable detection and/or screening strategy for PDAC using a liquid biopsy approach that relies on Vn96-mediated isolation of EVs from plasma.

Indexed as

Carcinoma, Pancreatic DuctalExtracellular VesiclesMicroRNAsPancreatic NeoplasmsBiomarkers, TumorHumansPeptidesSequence Analysis, RNABiomarkers, TumorMicroRNAsPeptides

Identifiers

PMID37286718
PMCPMC10247738
OpenAlexW4379768731

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.