Evidence map›Paper›PMID 26807325›Full record

ArticleAmerican journal of cancer research2015

Noninvasive urinary miRNA biomarkers for early detection of pancreatic adenocarcinoma.

Silvana Debernardi, Nathalie J Massat, Tomasz P Radon, Ajanthah Sangaralingam, Ana Banissi, Darren P Ennis, Thomas Dowe, Claude Chelala, Stephen P Pereira, Hemant M Kocher and 4 more

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% 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

69 citing papers in PubMed, 1 synthesis or guideline pooled it, 113 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Urinary biomarkers for lung cancer detection.The journal of liquid biopsy · 2026
    Article
  5. Review
  6. Challenges of early detection of pancreatic cancer.The Journal of clinical investigation · 2025
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Diagnosis of Pancreatic Cancer Using miRNA30e Biosensor.Interdisciplinary sciences, computational life sciences · 2022
    Article

9 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

14 authors at 1 institution in 1 country.

Silvana DebernardiCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London London, UK.
Nathalie J MassatCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London London, UK.
Tomasz P RadonCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London London, UK.
Ajanthah SangaralingamCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London London, UK.
Ana BanissiCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London London, UK.
Darren P EnnisCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London London, UK.
Thomas DoweCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London London, UK.
Claude ChelalaCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London London, UK.
Stephen P PereiraInstitute for Liver and Digestive Health, University College London London, UK.
Hemant M KocherCentre for Tumour Biology, Barts Cancer Institute, Queen Mary University of LondonLondon, UK; Barts and The London HPB Centre, Barts Health NHS Trust, Royal London HospitalLondon, UK.
Bryan D YoungCentre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London London, UK.
Giles Bond-SmithBarts and The London HPB Centre, Barts Health NHS Trust, Royal London Hospital London, UK.
Robert HutchinsBarts and The London HPB Centre, Barts Health NHS Trust, Royal London Hospital London, UK.
Tatjana Crnogorac-JurcevicCentre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London London, UK.
Queen Mary University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, the majority of patients diagnosed with pancreatic ductal adenocarcinoma (PDAC) present with locally invasive and/or metastatic disease, resulting in five-year survival of less than 5%. The development of an early diagnostic test is, therefore, expected to significantly impact the patient's prognosis. In this study, we successfully evaluated the feasibility of identifying diagnostic cell free microRNAs (miRNAs) for early stage PDAC, through the analysis of urine samples. Using Affymetrix microarrays, we established a global miRNA profile of 13 PDAC, six chronic pancreatitis (CP), and seven healthy (H) urine specimens. Selected differentially expressed miRNAs were subsequently investigated using an independent technique (RT-PCR) on 101 urine samples including 46 PDAC, 29 CP and 26 H. Receiver operating characteristic (ROC) and logistic regression analyses were applied to determine the discriminatory potential of the candidate miRNA biomarkers. Three miRNAs (miR-143, miR-223, and miR-30e) were significantly over-expressed in patients with Stage I cancer when compared with age-matched healthy individuals (P=0.022, 0.035 and 0.04, respectively); miR-143, miR-223 and miR-204 were also shown to be expressed at higher levels in Stage I compared to Stages II-IV PDAC (P=0.025, 0.013 and 0.008, respectively). Furthermore, miR-223 and miR-204 were able to distinguish patients with early stage cancer from patients with CP (P=0.037 and 0.036). Among the three biomarkers, miR-143 was best able to differentiate Stage I (n=6) from healthy (n=26) with area under the curve (AUC) of 0.862 (95% CI 0.695-1.000), with sensitivity (SN) of 83.3% (95% CI 50.0-100.0), and specificity (SP) of 88.5% (95% CI 73.1-100.0). The combination of miR-143 with miR-30e was significantly better at discriminating between these two groups, achieving an AUC of 0.923 (95% CI 0.793-1.000), with SN of 83.3% (95% CI 50.0-100.0) and SP of 96.2% (95% CI 88.5-100.0). In this feasibility study, we demonstrate for the first time the utility of miRNA biomarkers for non-invasive, early detection of PDAC in urine specimens.

Indexed as

diagnostic biomarkersmiR-143miR-204miR-223miR-30ePancreatic ductal adenocarcinomaurine

Identifiers

PMID26807325
PMCPMC4697691
OpenAlexW2395563932

What OpenQuestion holds

Textmetadata
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.