Evidence map›Paper›PMID 31150454›Full record

Observational studyPloS one2019

Effect of radiotherapy on the expression of cardiovascular disease-related miRNA-146a, -155, -221 and -222 in blood of women with breast cancer.

Roser Esplugas, Meritxell Arenas, Noemí Serra, Montserrat Bellés, Marta Bonet, Marina Gascón, Joan-Carles Vallvé, Victoria Linares

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 27% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Evaluation of miR-146a as a potential biomarker for diagnosis of cardiotoxicity induced by chemotherapy in patients with breast cancer.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2025
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Breast Cancer Response to Therapy: Can microRNAs Lead the Way?Journal of mammary gland biology and neoplasia · 2021
    Review
  9. Pathomechanisms and therapeutic opportunities in radiation-induced heart disease: from bench to bedside.Clinical research in cardiology : official journal of the German Cardiac Society · 2021
    Review
  10. Review
  11. Article
  12. Review
  13. 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

8 authors at 2 institutions in 1 country.

Roser EsplugasPhysiology Unit, School of Medicine, IISPV, Rovira i Virgili University, Reus, Spain.
Meritxell ArenasRadiation Oncology Department, Sant Joan University Hospital, IISPV, Rovira i Virgili University, Reus, Spain.ORCID 0000-0003-0815-2570
Noemí SerraLaboratory of Toxicology and Environmental Health, School of Medicine, IISPV, Rovira i Virgili University, Reus, Spain.
Montserrat BellésPhysiology Unit, School of Medicine, IISPV, Rovira i Virgili University, Reus, Spain.
Marta BonetRadiation Oncology Department, Sant Joan University Hospital, IISPV, Rovira i Virgili University, Reus, Spain.ORCID 0000-0002-6417-0514
Marina GascónRadiation Oncology Unit, Miguel Servet University Hospital, Zaragoza, Spain.
Joan-Carles VallvéResearch Unit on Lipids and Atherosclerosis, Sant Joan University Hospital, IISPV, Rovira i Virgili University, Reus, Spain.
Victoria LinaresPhysiology Unit, School of Medicine, IISPV, Rovira i Virgili University, Reus, Spain.
Institut de Recerca Biomèdica Catalunya Sud · ESHospital Universitario Miguel Servet · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is one of the most important neoplasias among women. Many patients receive radiotherapy (RT), which involves radiation exposure of the thoracic zone, including the heart and blood vessels, leading to the development of cardiovascular disease (CVD) as a long-term side effect. The severity of CVD-related pathologies leads research on assessing novel CVD biomarkers as diagnostic, prognostic or therapeutic agents. Currently, the possible candidates include blood microRNAs (miRNAs). Previous studies have supported a role for miRNA-146a, -155, -221, and -222 in the progression of CVD. Our purpose was to evaluate the RT-induced modulation of the expression of these miRNAs in the blood of women with BC. Pre-RT control and post-RT blood samples were collected, and after miRNA isolation and reverse transcription, the levels of the selected miRNAs were measured by real-time PCR. Our results showed that miRNA-155 exhibited the lowest expression, while miRNA-222 exhibited the highest expression, followed by miRNA-221. The expression of each individual miRNA was positively correlated with that of the others both pre-RT control and post-RT and inversely correlated with age before RT. Furthermore, RT promoted the overexpression of the selected miRNAs. Their levels were also affected by CVD-linked clinical parameters, treatment and BC side. Modulation of the expression of the selected miRNAs together with other risk factors might be associated with the development of future cardiovascular pathologies. Further confirmatory studies are needed to assess their potential as possible biomarkers in the progression of or as therapeutic targets for RT-induced CVD in BC patients.

Indexed as

AdultAgedAged, 80 and overBiomarkersBreast NeoplasmsCardiovascular DiseasesChemoradiotherapy, AdjuvantDisease ProgressionDose Fractionation, RadiationFemaleGene Expression ProfilingHeartHumansMastectomyMicroRNAsMiddle AgedBiomarkersMicroRNAsMIR221, humanMIR222, humanMIRN146 microRNA, humanMIRN155 microRNA, human

Identifiers

PMID31150454
PMCPMC6544229
OpenAlexW2947700677

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.