Evidence map›Paper›PMID 36290970›Full record

ArticleBiosensors2022

An Exosomal miRNA Biomarker for the Detection of Pancreatic Ductal Adenocarcinoma.

Amy Makler, Ramaswamy Narayanan, Waseem Asghar

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. miRNAs in pancreatic cancer progression and metastasis.Clinical & experimental metastasis · 2024
    Review
  6. Emerging Therapeutic Options in Pancreatic Cancer Management.International journal of molecular sciences · 2024
    Article
  7. Review
  8. Review
  9. Article
  10. 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

3 authors at 2 institutions in 1 country.

Amy MaklerMicro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, FL 33431, USA.ORCID 0000-0002-2471-3879
Ramaswamy NarayananDepartment of Biological Sciences, Florida Atlantic University, Boca Raton, FL 33431, USA.
Waseem AsgharMicro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, FL 33431, USA.ORCID 0000-0003-0458-8430
Florida Atlantic University · USUniversity of North Florida · US

Funding

Development of disposable and refrigeration-free microchip technology for CD4+ T cell counting at point-of-care settingsR15AI127214 · NIAID · FLORIDA ATLANTIC UNIVERSITY · PI ASGHAR, WASEEM · 2016 to 2016
$460k
Florida Atlantic University FAU Faculty Mentoring AwardFlorida Atlantic University Institute for Sensing and Embedded Networking Systems Engineering (I-SENSE) Research Initiative AwardFlorida Atlantic University Start-up research support from College of Engineering and Computer ScienceNational Institute of Health NIH R15AI127214NIAID NIH HHS R15 AI127214
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) remains a difficult tumor to diagnose and treat. To date, PDAC lacks routine screening with no markers available for early detection. Exosomes are 40-150 nm-sized extracellular vesicles that contain DNA, RNA, and proteins. These exosomes are released by all cell types into circulation and thus can be harvested from patient body fluids, thereby facilitating a non-invasive method for PDAC detection. A bioinformatics analysis was conducted utilizing publicly available miRNA pancreatic cancer expression and genome databases. Through this analysis, we identified 18 miRNA with strong potential for PDAC detection. From this analysis, 10 (MIR31, MIR93, MIR133A1, MIR210, MIR330, MIR339, MIR425, MIR429, MIR1208, and MIR3620) were chosen due to high copy number variation as well as their potential to differentiate patients with chronic pancreatitis, neoplasms, and PDAC. These 10 were examined for their mature miRNA expression patterns, giving rise to 18 mature miRs for further analysis. Exosomal RNA from cell culture media was analyzed via RTqPCR and seven mature miRs exhibited statistical significance (miR-31-5p, miR-31-3p, miR-210-3p, miR-339-5p, miR-425-5p, miR-425-3p, and miR-429). These identified biomarkers can potentially be used for early detection of PDAC.

Indexed as

Carcinoma, Pancreatic DuctalMicroRNAsPancreatic NeoplasmsBiomarkersDNA Copy Number VariationsHumansBiomarkersMicroRNAsMIRN330 microRNA, humanMIRN425 microRNA, humanbiomarkercancerdiagnosticsexosomesmiRNApancreatic cancer

Identifiers

PMID36290970
PMCPMC9599289
OpenAlexW4303614069

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.