Evidence map›Paper›PMID 27232245›Full record

ArticleAnnals of surgery2017

MicroRNAs for Detection of Pancreatic Neoplasia: Biomarker Discovery by Next-generation Sequencing and Validation in 2 Independent Cohorts.

Elena Vila-Navarro, Maria Vila-Casadesús, Leticia Moreira, Saray Duran-Sanchon, Rupal Sinha, Àngels Ginés, Glòria Fernández-Esparrach, Rosa Miquel, Miriam Cuatrecasas, Antoni Castells and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Annals of surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
3.7field-weighted citation impact, top 7% 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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Catching pancreatic cancer early: Are we there yet?Journal of the National Cancer Center · 2026
    Review
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  7. Blood-Based Diagnosis and Risk Stratification of Patients with Pancreatic Intraductal Papillary Mucinous Neoplasm (IPMN).Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
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  18. Observational
  19. Early Diagnosis of Pancreatic Cancer: The Key for Survival.Diagnostics (Basel, Switzerland) · 2020
    Review
  20. 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 2 institutions in 1 country.

Elena Vila-Navarro*Gastrointestinal & Pancreatic Oncology Group, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD)/Hospital Clínic of Barcelona/ Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Catalonia, Spain †Bioinformatics Platform, CIBEREHD/Barcelona, Catalonia, Spain ‡Pathology Department, Hospital Clínic of Barcelona, Barcelona, Catalonia, Spain.
Maria Vila-Casadesús
Leticia Moreira
Saray Duran-Sanchon
Rupal Sinha
Àngels Ginés
Glòria Fernández-Esparrach
Rosa Miquel
Miriam Cuatrecasas
Antoni Castells
Juan José Lozano
Meritxell Gironella
Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of our study was to analyze the miRNome of pancreatic ductal adenocarcinoma (PDAC) and its preneoplastic lesion intraductal papillary mucinous neoplasm (IPMN), to find new microRNA (miRNA)-based biomarkers for early detection of pancreatic neoplasia.

objectiveEffective early detection methods for PDAC are needed. miRNAs are good biomarker candidates.

methodsPancreatic tissues (n = 165) were obtained from patients with PDAC, IPMN, or from control individuals (C), from Hospital Clínic of Barcelona. Biomarker discovery was done using next-generation sequencing in a discovery set of 18 surgical samples (11 PDAC, 4 IPMN, 3 C). MiRNA validation was carried out by quantitative reverse transcriptase PCR in 2 different set of samples. Set 1-52 surgical samples (24 PDAC, 7 IPMN, 6 chronic pancreatitis, 15 C), and set 2-95 endoscopic ultrasound-guided fine-needle aspirations (60 PDAC, 9 IPMN, 26 C).

resultsIn all, 607 and 396 miRNAs were significantly deregulated in PDAC and IPMN versus C. Of them, 40 miRNAs commonly overexpressed in both PDAC and IPMN were selected for further validation. Among them, significant up-regulation of 31 and 30 miRNAs was confirmed by quantitative reverse transcriptase PCR in samples from set 1 and set 2, respectively.

conclusionsmiRNome analysis shows that PDAC and IPMN have differential miRNA profiles with respect to C, with a large number of deregulated miRNAs shared by both neoplastic lesions. Indeed, we have identified and validated 30 miRNAs whose expression is significantly increased in PDAC and IPMN lesions. The feasibility of detecting these miRNAs in endoscopic ultrasound-guided fine-needle aspiration samples makes them good biomarker candidates for early detection of pancreatic cancer.

Indexed as

Biomarkers, TumorCarcinoma, Pancreatic DuctalCarcinoma, PapillaryEarly Detection of CancerGene Expression ProfilingHumansMicroRNAsPancreatic NeoplasmsPrecancerous ConditionsReverse Transcriptase Polymerase Chain ReactionBiomarkers, TumorMicroRNAs

Identifiers

PMID27232245
PMCPMC5434964
OpenAlexW2395712365

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.