Evidence map›Paper›PMID 27086919›Full record

ArticleOncotarget2016

Prospective validation of microRNA signatures for detecting pancreatic malignant transformation in endoscopic-ultrasound guided fine-needle aspiration biopsies.

Adam E Frampton, Jonathan Krell, Mireia Mato Prado, Tamara M H Gall, Nima Abbassi-Ghadi, Giovanna Del Vecchio Blanco, Niccola Funel, Elisa Giovannetti, Leandro Castellano, Mohamed Basyouny and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Imaging modalities for characterising focal pancreatic lesions.The Cochrane database of systematic reviews · 2017
    Pooled it
  3. Review
  4. Review
  5. Review
  6. Potential role of microRNAs in pancreatic cancer manifestation: a review.Journal of the Egyptian National Cancer Institute · 2022
    Review
  7. Review
  8. Article
  9. Article
  10. Protein Signatures and Tissue Diagnosis of Pancreatic Cancer.Journal of the American College of Surgeons · 2020
    Article
  11. Article
  12. Review
  13. MicroRNAs in pancreatic cancer diagnosis and therapy.Central-European journal of immunology · 2018
    Review
  14. Article
  15. Article
  16. Review
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 at 5 institutions in 3 countries.

Adam E FramptonHPB Surgical Unit, Department of Surgery and Cancer, Imperial College, Hammersmith Hospital, London, UK.
Jonathan KrellDivision of Cancer, Department of Surgery and Cancer, Imperial College, Hammersmith Hospital, London, UK.
Mireia Mato PradoDivision of Cancer, Department of Surgery and Cancer, Imperial College, Hammersmith Hospital, London, UK.
Tamara M H GallHPB Surgical Unit, Department of Surgery and Cancer, Imperial College, Hammersmith Hospital, London, UK.
Nima Abbassi-GhadiAcademic Surgical Unit, Department of Surgery and Cancer, Imperial College, St. Mary's Hospital, London, UK.
Giovanna Del Vecchio BlancoDepartment of Systems Medicine, Gastroenterology Unit, University Tor Vergata, Rome, Italy.
Niccola FunelCancer Pharmacology Lab, AIRC Start-Up Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Elisa GiovannettiCancer Pharmacology Lab, AIRC Start-Up Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Leandro CastellanoDivision of Cancer, Department of Surgery and Cancer, Imperial College, Hammersmith Hospital, London, UK.
Mohamed BasyounyHPB Surgical Unit, Department of Surgery and Cancer, Imperial College, Hammersmith Hospital, London, UK.
Nagy A HabibHPB Surgical Unit, Department of Surgery and Cancer, Imperial College, Hammersmith Hospital, London, UK.
Harry KaltsidisDepartment of Gastroenterology, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, UK.
Panagiotis VlavianosDepartment of Gastroenterology, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, UK.
Justin StebbingDivision of Cancer, Department of Surgery and Cancer, Imperial College, Hammersmith Hospital, London, UK.
Long R JiaoHPB Surgical Unit, Department of Surgery and Cancer, Imperial College, Hammersmith Hospital, London, UK.
Hammersmith Hospital · GBUniversity of Pisa · ITImperial College Healthcare NHS Trust · GBSt Mary's Hospital · GBUniversity of Rome Tor Vergata · IT

Funding

Cancer Research UK 14549Department of Health NIHR-RP-011-053Medical Research Council G1100425Worldwide Cancer Research 10-0510
6 · The paper itself

Abstract

backgroundPancreatic ductal adenocarcinoma (PDAC) is a lethal disease. Novel biomarkers are required to aid treatment decisions and improve patient outcomes. MicroRNAs (miRNAs) are potentially ideal diagnostic biomarkers, as they are stable molecules, and tumour and tissue specific.

resultsLogistic regression analysis revealed an endoscopic-ultrasound fine-needle aspiration (EUS-FNA) 2-miRNA classifier (miR-21 + miR-155) capable of distinguishing benign from malignant pancreatic lesions with a sensitivity of 81.5% and a specificity of 85.7% (AUC 0.930). Validation FNA cohorts confirmed both miRNAs were overexpressed in malignant disease, while circulating miRNAs performed poorly.

methodsFifty-five patients with a suspicious pancreatic lesion on cross-sectional imaging were evaluated by EUS-FNA. At echo-endoscopy, the first part of the FNA was sent for cytological assessment and the second part was used for total RNA extraction. Candidate miRNAs were selected after careful review of the literature and expression was quantified by qRT-PCR. Validation was performed on an independent cohort of EUS-FNAs, as well as formalin-fixed paraffin embedded (FFPE) and plasma samples.

conclusionsWe provide further evidence for using miRNAs as diagnostic biomarkers for pancreatic malignancy. We demonstrate the feasibility of using fresh EUS-FNAs to establish miRNA-based signatures unique to pancreatic malignant transformation and the potential to enhance risk stratification and selection for surgery.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedCell Transformation, NeoplasticEndoscopic Ultrasound-Guided Fine Needle AspirationFemaleGene Expression ProfilingHumansLogistic ModelsMaleMicroRNAsMiddle AgedPancreasPancreatic NeoplasmsProspective StudiesSensitivity and SpecificityMicroRNAsMIRN155 microRNA, humanMIRN21 microRNA, humanendoscopic ultrasound (EUS)fine-needle aspiration (FNA)microRNApancreatic cystpancreatic ductal adenocarcinoma

Identifiers

PMID27086919
PMCPMC5053745
OpenAlexW2338197163

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.