Evidence map›Paper›PMID 31673048›Full record

Trial reportScientific reports2019

The 14q32 maternally imprinted locus is a major source of longitudinally stable circulating microRNAs as measured by small RNA sequencing.

Gabriel N Valbuena, Sophia Apostolidou, Rhiannon Roberts, Julie Barnes, Wendy Alderton, Lauren Harper, Ian Jacobs, Usha Menon, Hector C Keun

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. 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

9 authors.

Gabriel N ValbuenaDivision of Cancer, Department of Surgery and Cancer, Imperial College London, London, W12 0NN, United Kingdom.ORCID http://orcid.org/0000-0001-6825-7214
Sophia ApostolidouMRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, University College London, Gower Street, London, UK.
Rhiannon RobertsMRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, University College London, Gower Street, London, UK.
Julie BarnesAbcodia Ltd, PO Box 268, Royston, SG8 1EL, Hertfordshire, UK.
Wendy AldertonAbcodia Ltd, PO Box 268, Royston, SG8 1EL, Hertfordshire, UK.
Lauren HarperCancer Research UK, Angel Building, 407 St John Street, London, UK.
Ian JacobsMRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, University College London, Gower Street, London, UK.
Usha MenonMRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, University College London, Gower Street, London, UK.ORCID http://orcid.org/0000-0003-3708-1732
Hector C KeunDivision of Cancer, Department of Surgery and Cancer, Imperial College London, London, W12 0NN, United Kingdom. h.keun@imperial.ac.uk.ORCID http://orcid.org/0000-0001-7358-8851

Funding

Cancer Research UK 22544Medical Research Council G0801228Medical Research Council G9901012
6 · The paper itself

Abstract

Understanding the normal temporal variation of serum molecules is a critical factor for identifying useful candidate biomarkers for the diagnosis and prognosis of chronic disease. Using small RNA sequencing in a longitudinal study of 66 women with no history of cancer, we determined the distribution and dynamics (via intraclass correlation coefficients, ICCs) of the miRNA profile over 3 time points sampled across 2-5 years in the course of the screening trial, UKCTOCS. We were able to define a subset of longitudinally stable miRNAs (ICC >0.75) that were individually discriminating of women who had no cancer over the study period. These miRNAs were dominated by those originating from the C14MC cluster that is subject to maternal imprinting. This assessment was not significantly affected by common confounders such as age, BMI or time to centrifugation nor alternative methods to data normalisation. Our analysis provides important benchmark data supporting the development of miRNA biomarkers for the impact of life-course exposure as well as diagnosis and prognostication of chronic disease.

Indexed as

Biomarkers, TumorChromosomes, Human, Pair 14Genomic ImprintingMicroRNAsMultigene FamilyOvarian NeoplasmsRNA, NeoplasmAgedAge FactorsBody Mass IndexFemaleFollow-Up StudiesHumansMiddle AgedSequence Analysis, RNABiomarkers, TumorMicroRNAsRNA, Neoplasm

Identifiers

PMID31673048
PMCPMC6823392

What OpenQuestion holds

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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.