Evidence map›Paper›PMID 34083680›Full record

ArticleScientific reports2021

Differences in plasma microRNA content impair microRNA-based signature for breast cancer diagnosis in cohorts recruited from heterogeneous environmental sites.

Jeanne P Uyisenga, Ahmed Debit, Christophe Poulet, Pierre Frères, Aurélie Poncin, Jérôme Thiry, Leon Mutesa, Guy Jerusalem, Vincent Bours, Claire Josse

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 35% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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  6. Clinicopathological Characteristics and Mutational Landscape ofCurrent issues in molecular biology · 2023
    Article
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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

10 authors at 3 institutions in 2 countries.

Jeanne P Uyisenga *Laboratory of Human Genetics, GIGA Research Institute, University of Liège, 11 avenue Hippocrate, B34 CHU Sart Tilman, 4000, Liège, Belgium.
Ahmed Debit *Laboratory of Human Genetics, GIGA Research Institute, University of Liège, 11 avenue Hippocrate, B34 CHU Sart Tilman, 4000, Liège, Belgium.
Christophe PouletLaboratory of Human Genetics, GIGA Research Institute, University of Liège, 11 avenue Hippocrate, B34 CHU Sart Tilman, 4000, Liège, Belgium.
Pierre FrèresDepartment of Medical Oncology, University Hospital of Liège, CHU Liège, Liège, Belgium.
Aurélie PoncinDepartment of Medical Oncology, University Hospital of Liège, CHU Liège, Liège, Belgium.
Jérôme ThiryLaboratory of Human Genetics, GIGA Research Institute, University of Liège, 11 avenue Hippocrate, B34 CHU Sart Tilman, 4000, Liège, Belgium.
Leon MutesaCenter for Human Genetics, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
Guy JerusalemDepartment of Medical Oncology, University Hospital of Liège, CHU Liège, Liège, Belgium.
Vincent BoursLaboratory of Human Genetics, GIGA Research Institute, University of Liège, 11 avenue Hippocrate, B34 CHU Sart Tilman, 4000, Liège, Belgium.
Claire JosseLaboratory of Human Genetics, GIGA Research Institute, University of Liège, 11 avenue Hippocrate, B34 CHU Sart Tilman, 4000, Liège, Belgium. c.josse@chuliege.be.
University of Liège · BECentre Hospitalier Universitaire de Liège · BEUniversity of Rwanda · RW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating microRNAs are non-invasive biomarkers that can be used for breast cancer diagnosis. However, differences in cancer tissue microRNA expression are observed in populations with different genetic/environmental backgrounds. This work aims at checking if a previously identified diagnostic circulating microRNA signature is efficient in other genetic and environmental contexts, and if a universal circulating signature might be possible. Two populations are used: women recruited in Belgium and Rwanda. Breast cancer patients and healthy controls were recruited in both populations (Belgium: 143 primary breast cancers and 136 healthy controls; Rwanda: 82 primary breast cancers and 73 healthy controls; Ntot = 434), and cohorts with matched age and cancer subtypes were compared. Plasmatic microRNA profiling was performed by RT-qPCR. Random Forest was used to (1) evaluate the performances of the previously described breast cancer diagnostic tool identified in Belgian-recruited cohorts on Rwandan-recruited cohorts and vice versa; (2) define new diagnostic signatures common to both recruitment sites; (3) define new diagnostic signatures efficient in the Rwandan population. None of the circulating microRNA signatures identified is accurate enough to be used as a diagnostic test in both populations. However, accurate circulating microRNA signatures can be found for each specific population, when taken separately.

Indexed as

AdultAgedBiomarkers, TumorBreast NeoplasmsCirculating MicroRNAFemaleGene Expression Regulation, NeoplasticHumansMiddle AgedBiomarkers, TumorCirculating MicroRNA

Identifiers

PMID34083680
PMCPMC8175697
OpenAlexW3164878483

What OpenQuestion holds

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LicenceCC BY
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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.