Evidence map›Paper›PMID 31752758›Full record

ReviewBMC cancer2019

MicroRNAs in Pancreatic Cancer: biomarkers, prognostic, and therapeutic modulators.

Afra Z Daoud, Eoghan J Mulholland, Grace Cole, Helen O McCarthy

Abstract readReview
In one paragraph

Review in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
132citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Challenges of early detection of pancreatic cancer.The Journal of clinical investigation · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. A new era of cancer immunotherapy: vaccines and miRNAs.Cancer immunology, immunotherapy : CII · 2025
    Review
  20. Review

72 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

4 authors.

Afra Z DaoudSchool of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Northern Ireland, BT9 7BL, UK.
Eoghan J MulhollandGastrointestinal Stem Cell Biology Laboratory, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, OX3 7BN, UK.
Grace ColeGenome Sciences Centre, British Columbia Cancer Agency, Vancouver, British Columbia, V5Z 1L3, Canada.
Helen O McCarthySchool of Pharmacy, Queen's University Belfast, 97 Lisburn Road, Northern Ireland, BT9 7BL, UK. h.mccarthy@qub.ac.uk.ORCID http://orcid.org/0000-0002-1254-3745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A severe lack of early diagnosis coupled with resistance to most available therapeutic options renders pancreatic cancer as a major clinical concern. The limited efficacy of current treatments necessitates the development of novel therapeutic strategies that are based on an understanding of the molecular mechanisms involved in pancreatic cancer progression. MicroRNAs (miRNAs) are non-coding small RNAs that regulate the expression of multiple proteins in the post-translation process and thus have promise as biomarkers, prognostic agents, and as advanced pancreatic therapies. Profiling of deregulated miRNAs in pancreatic cancer can correlate to diagnosis, indicate optimal treatment and predict response to therapy. Furthermore, understanding the main effector genes in pancreatic cancer along with downstream pathways can identify possible miRNAs as therapeutic candidates. Additionally, obstacles to the translation of miRNAs into the clinic are also considered. Distinct miRNA expression profiles can correlate to stages of malignant pancreatic disease, and hold potential as biomarkers, prognostic markers and clinical targets. However, a limited understanding and validation of the specific role of such miRNAs stunts clinical application. Target prediction using algorithms provides a wide range of possible targets, but these miRNAs still require validation through pre-clinical studies to determine the knock-on genetic effects.

Indexed as

Biomarkers, TumorDisease ProgressionGene Expression Regulation, NeoplasticHumansMicroRNAsNeoplasm StagingPancreatic NeoplasmsPrognosisBiomarkers, TumorMicroRNAsBiomarkerChemoresistanceGene therapymicroRNAPancreatic CancerPrognosis

Identifiers

PMID31752758
PMCPMC6868851

What OpenQuestion holds

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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.