Evidence map›Paper›PMID 32708551›Full record

ArticleGenes2020

Convergence of Prognostic Gene Signatures Suggests Underlying Mechanisms of Human Prostate Cancer Progression.

Bogdan-Alexandru Luca, Vincent Moulton, Christopher Ellis, Shea P Connell, Daniel S Brewer, Colin S Cooper

Open access · goldAbstract readValidation Study
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

Bogdan-Alexandru LucaSchool of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK.
Vincent MoultonSchool of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK.
Christopher EllisSchool of Computing Sciences, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK.ORCID 0000-0002-1856-7254
Shea P ConnellNorwich Medical School, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK.
Daniel S BrewerNorwich Medical School, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK.ORCID 0000-0003-4753-9794
Colin S CooperNorwich Medical School, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK.
University of East Anglia · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The highly heterogeneous clinical course of human prostate cancer has prompted the development of multiple RNA biomarkers and diagnostic tools to predict outcome for individual patients. Biomarker discovery is often unstable with, for example, small changes in discovery dataset configuration resulting in large alterations in biomarker composition. Our hypothesis, which forms the basis of this current study, is that highly significant overlaps occurring between gene signatures obtained using entirely different approaches indicate genes fundamental for controlling cancer progression. For prostate cancer, we found two sets of signatures that had significant overlaps suggesting important genes (

Indexed as

Prostatic NeoplasmsTranscriptomeBiomarkers, TumorCohort StudiesDatasets as TopicDisease ProgressionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMicroarray AnalysisNeoplasm InvasivenessPrognosisBiomarkers, Tumoraggressive cancerbiomarkerscancer progressiondiagnostic signatureprognostic signatureprostate cancer

Identifiers

PMID32708551
PMCPMC7397325
OpenAlexW3042797902

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.