Evidence map›Paper›PMID 22511932›Full record

ArticlePloS one2012

Diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis by measurement of microRNA abundance in blood and tissue.

Andrea S Bauer, Andreas Keller, Eithne Costello, William Greenhalf, Melanie Bier, Anne Borries, Markus Beier, John Neoptolemos, Markus Büchler, Jens Werner and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 7 pooled it
5.6field-weighted citation impact, top 4% 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

73 citing papers in PubMed, 7 syntheses or guidelines pooled it, 119 citations in OpenAlex.

  1. Biomarkers of Chronic Pancreatitis: A systematic literature review.Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] · 2021
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  6. MicroRNAs as novel biomarkers for pancreatic cancer diagnosis: a meta-analysis based on 18 articles.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
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  17. The Role of MicroRNAs in Pancreatitis Development and Progression.International journal of molecular sciences · 2023
    Review
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13 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

12 authors at 6 institutions in 2 countries.

Andrea S BauerDivision of Functional Genome Analysis, Deutsches Krebsforschungszentrum, Heidelberg, Germany.
Andreas Keller
Eithne Costello
William Greenhalf
Melanie Bier
Anne Borries
Markus Beier
John Neoptolemos
Markus Büchler
Jens Werner
Nathalia Giese
Jörg D Hoheisel
Heidelberg University · DELead Discovery Center (Germany) · DEDKFZ-ZMBH Alliance · DENational Institute for Health Research · GBGerman Cancer Research Center · DEUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A solid process for diagnosis could have a substantial impact on the successful treatment of pancreatic cancer, for which currently mortality is nearly identical to incidence. Variations in the abundance of all microRNA molecules from peripheral blood cells and pancreas tissues were analyzed on microarrays and in part validated by real-time PCR assays. In total, 245 samples from two clinical centers were studied that were obtained from patients with pancreatic ductal adenocarcinoma or chronic pancreatitis and from healthy donors. Utilizing the minimally invasive blood test, receiver operating characteristic (ROC) curves and the corresponding area under the curve (AUC) analysis demonstrated very high sensitivity and specificity of a distinction between healthy people and patients with either cancer or chronic pancreatitis; respective AUC values of 0.973 and 0.950 were obtained. Confirmative and partly even more discriminative diagnosis could be performed on tissue samples with AUC values of 1.0 and 0.937, respectively. In addition, discrimination between cancer and chronic pancreatitis was achieved (AUC = 0.875). Also, several miRNAs were identified that exhibited abundance variations in both tissue and blood samples. The results could have an immediate diagnostic value for the evaluation of tumor reoccurrence in patients, who have undergone curative surgical resection, and for people with a familial risk of pancreatic cancer.

Indexed as

AdultAgedArea Under CurveBiomarkers, TumorCarcinoma, Pancreatic DuctalFemaleHumansMaleMicroRNAsMiddle AgedPancreatitis, ChronicSensitivity and SpecificityBiomarkers, TumorMicroRNAs

Identifiers

PMID22511932
PMCPMC3325244
OpenAlexW1969669359

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.