Evidence map›Paper›PMID 30200254›Full record

ReviewDiagnostics (Basel, Switzerland)2018

RNAs as Candidate Diagnostic and Prognostic Markers of Prostate Cancer-From Cell Line Models to Liquid Biopsies.

Marvin C J Lim, Anne-Marie Baird, John Aird, John Greene, Dhruv Kapoor, Steven G Gray, Ray McDermott, Stephen P Finn

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

14 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
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  7. Article
  8. Review
  9. Article
  10. Article
  11. Circular RNA and its potential as prostate cancer biomarkers.World journal of clinical oncology · 2020
    Review
  12. Article
  13. Article
  14. Liquid Biopsy Potential Biomarkers in Prostate Cancer.Diagnostics (Basel, Switzerland) · 2018
    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

8 authors at 3 institutions in 2 countries.

Marvin C J LimDepartment of Histopathology and Morbid Anatomy, Trinity Translational Medicine Institute, Trinity College Dublin, Dublin D08 W9RT, Ireland. LIMMC@tcd.ie.
Anne-Marie BairdCancer and Ageing Research Programme, Queensland University of Technology, Brisbane, QLD 4000, Australia. BAIRDA@tcd.ie.
John AirdDepartment of Histopathology and Morbid Anatomy, Trinity Translational Medicine Institute, Trinity College Dublin, Dublin D08 W9RT, Ireland. AIRDJ@tcd.ie.
John GreeneDepartment of Histopathology and Morbid Anatomy, Trinity Translational Medicine Institute, Trinity College Dublin, Dublin D08 W9RT, Ireland. GREENEJO@tcd.ie.
Dhruv KapoorDepartment of Histopathology and Morbid Anatomy, Trinity Translational Medicine Institute, Trinity College Dublin, Dublin D08 W9RT, Ireland. DHRUVKAPOOR@rcsi.ie.
Steven G GrayDepartment of Clinical Medicine, Trinity College Dublin, College Green, Dublin D02 PN40, Ireland. SGRAY@stjames.ie.ORCID 0000-0002-5850-6392
Ray McDermottDepartment of Medical Oncology, Tallaght University Hospital, Dublin D24 NR0A, Ireland. RAY.MCDERMOTT@amnch.ie.
Stephen P FinnDepartment of Histopathology and Morbid Anatomy, Trinity Translational Medicine Institute, Trinity College Dublin, Dublin D08 W9RT, Ireland. Stephen.Finn@tcd.ie.
Trinity College Dublin · IEQueensland University of Technology · AUTallaght University Hospital · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment landscape of prostate cancer has evolved rapidly over the past five years. The explosion in treatment advances has been witnessed in parallel with significant progress in the field of molecular biomarkers. The advent of next-generation sequencing has enabled the molecular profiling of the genomic and transcriptomic architecture of prostate and other cancers. Coupled with this, is a renewed interest in the role of non-coding RNA (ncRNA) in prostate cancer biology. ncRNA consists of several different classes including small non-coding RNA (sncRNA), long non-coding RNA (lncRNA), and circular RNA (circRNA). These families are under active investigation, given their essential roles in cancer initiation, development and progression. This review focuses on the evidence for the role of RNAs in prostate cancer, and their use as diagnostic and prognostic markers, and targets for treatment in this disease.

Indexed as

biomarkercircRNAlncRNAmiRNAmRNAncRNAprostate cancerRNAsdRNAsnoRNAtRFtRNA

Identifiers

PMID30200254
PMCPMC6163368
OpenAlexW2889519598

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.