Evidence map›Paper›PMID 18719196›Full record

ArticleClinical chemistry2008

Analysis of microRNAs in pancreatic fine-needle aspirates can classify benign and malignant tissues.

Anna E Szafranska, Martina Doleshal, Hayward S Edmunds, Stuart Gordon, Jutta Luttges, Johanna B Munding, Richard J Barth, Edward J Gutmann, Arief A Suriawinata, J Marc Pipas and 5 more

Abstract read
In one paragraph

Article in Clinical chemistry, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

102 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Imaging modalities for characterising focal pancreatic lesions.The Cochrane database of systematic reviews · 2017
    Pooled it
  3. Guideline
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Potential role of microRNAs in pancreatic cancer manifestation: a review.Journal of the Egyptian National Cancer Institute · 2022
    Review
  11. Article
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  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Protein Signatures and Tissue Diagnosis of Pancreatic Cancer.Journal of the American College of Surgeons · 2020
    Article

42 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

15 authors.

Anna E SzafranskaAsuragen Inc., Austin, TX, USA.
Martina Doleshal
Hayward S Edmunds
Stuart Gordon
Jutta Luttges
Johanna B Munding
Richard J Barth
Edward J Gutmann
Arief A Suriawinata
J Marc Pipas
Andrea Tannapfel
Murray Korc
Stephan A Hahn
Emmanuel Labourier
Gregory J Tsongalis

Funding

Novel aspects of Epithelial-Mesenchymal Transition(EMT)in pancreatic cancerR01CA075059 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI KORC, MURRAY · 1997 to 2018
$4.3M
microRNAs as novel Biomarkers for Pancreatic Ductal AdenocarcinomaR21CA133715 · NCI · DARTMOUTH COLLEGE · PI KORC, MURRAY · 2008 to 2009
$396k
NCI NIH HHS CA-133715NCI NIH HHS R01 CA075059NCI NIH HHS R21 CA133715
6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) are RNA molecules that are involved in the regulation of many cellular processes, including those related to human cancers. The aim of this study was to determine, as a proof of principle, whether specific candidate miRNAs could be detected in fine-needle aspirate (FNA) biopsies of pancreatic ductal adenocarcinoma (PDAC) and could accurately differentiate malignant from benign pancreatic tissues.

methodsWe used TaqMan(R) assays to quantify miRNA levels in FNA samples collected in RNARetain (n = 16) and compared the results with a training set consisting of frozen macrodissected pancreatic samples (n = 20).

resultsQuantitative reverse-transcription PCR analysis confirmed that miRNA levels are affected in PDAC FNAs and correlate well with the changes observed in the training set of frozen pancreatic samples. Analysis of the amounts produced for a few specific miRNAs enabled identification of PDAC samples. The combination of miR-196a and miR-217 biomarkers further improved the ability to distinguish between healthy tissue, PDAC, and chronic pancreatitis in the training set (P = 8.2 x 10(-10)), as well as segregate PDAC FNA samples from other FNA samples (P = 1.1 x 10(-5)). Furthermore, we showed that miR-196a production is likely specific to PDAC cells and that its incidence paralleled the progression of PDAC.

conclusionsTo the best of our knowledge, this study is the first to evaluate the diagnostic potential of miRNAs in a clinical setting and has shown that miRNA analysis of pancreatic FNA biopsy samples can aid in the pathologic evaluation of suspicious cases and may provide a new strategy for improving the diagnosis of pancreatic diseases.

Indexed as

AgedAged, 80 and overBiopsy, NeedleFemaleHumansMaleMicroRNAsMiddle AgedPancreatic NeoplasmsMicroRNAs

Identifiers

PMID18719196
PMCPMC4040292

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Registered trials

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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.