Evidence map›Paper›PMID 37491482›Full record

ArticleScientific reports2023

Plasma microRNA ratios associated with breast cancer detection in a nested case-control study from a mammography screening cohort.

Giovanna Chiorino, Elisabetta Petracci, Emir Sehovic, Ilaria Gregnanin, Elisa Camussi, Maurizia Mello-Grand, Paola Ostano, Emilia Riggi, Viviana Vergini, Alessia Russo and 10 more

Registry-linked trialAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02618538 (Predictive Value of Combined Criteria to Tailor Breast Cancer Screening and New Opportunities From Circulating Markers. The Andromeda Study.), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT02618538 completednot on this map

Predictive Value of Combined Criteria to Tailor Breast Cancer Screening and New Opportunities From Circulating Markers. The Andromeda Study.

Typeobservational_patient_registrySponsorCentro di Riferimento per l'Epidemiologia e la Prev. Oncologica PiemonteRan2015 to 2018Enrolled26,600ConditionsBreast Cancer
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. 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

20 authors.

Giovanna Chiorino *Cancer Genomics Lab, Fondazione Edo ed Elvo Tempia, Via Malta 3, 13900, Biella, Italy.
Elisabetta Petracci *Unit of Biostatistics and Clinical Trials, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Italy.
Emir SehovicCancer Genomics Lab, Fondazione Edo ed Elvo Tempia, Via Malta 3, 13900, Biella, Italy. emir.sehovic@fondazionetempia.org.
Ilaria GregnaninCancer Genomics Lab, Fondazione Edo ed Elvo Tempia, Via Malta 3, 13900, Biella, Italy.
Elisa CamussiSSD Epidemiologia Screening, CPO-AOU Città della Salute e della Scienza di Torino, Via Camillo Benso Di Cavour 31, 10123, Turin, Italy.
Maurizia Mello-GrandCancer Genomics Lab, Fondazione Edo ed Elvo Tempia, Via Malta 3, 13900, Biella, Italy.
Paola OstanoCancer Genomics Lab, Fondazione Edo ed Elvo Tempia, Via Malta 3, 13900, Biella, Italy.
Emilia RiggiSSD Epidemiologia Screening, CPO-AOU Città della Salute e della Scienza di Torino, Via Camillo Benso Di Cavour 31, 10123, Turin, Italy.
Viviana VerginiSSD Epidemiologia Screening, CPO-AOU Città della Salute e della Scienza di Torino, Via Camillo Benso Di Cavour 31, 10123, Turin, Italy.
Alessia RussoDepartment of Medical Sciences, University of Turin, Turin, Italy.
Enrico BerrinoDepartment of Medical Sciences, University of Turin, Turin, Italy.
Andrea OrtaleSSD Epidemiologia Screening, CPO-AOU Città della Salute e della Scienza di Torino, Via Camillo Benso Di Cavour 31, 10123, Turin, Italy.
Francesca GarenaSSD Epidemiologia Screening, CPO-AOU Città della Salute e della Scienza di Torino, Via Camillo Benso Di Cavour 31, 10123, Turin, Italy.
Tiziana VenesioPathology Unit, Candiolo Cancer Institute, FPO IRCCS, Candiolo, Italy.
Federica GalloEpidemiology Unit, Staff Health Direction, Local Health Authority 1 of Cuneo, Cuneo, Italy.
Elisabetta FavettiniDiagnostic Radiology Unit, Nuovo Ospedale Degli Infermi, Ponderano, Italy.
Alfonso FrigerioSSD Epidemiologia Screening, CPO-AOU Città della Salute e della Scienza di Torino, Via Camillo Benso Di Cavour 31, 10123, Turin, Italy.
Giuseppe MatulloDepartment of Medical Sciences, University of Turin, Turin, Italy.
Nereo SegnanSSD Epidemiologia Screening, CPO-AOU Città della Salute e della Scienza di Torino, Via Camillo Benso Di Cavour 31, 10123, Turin, Italy. nereo.segnan@cpo.it.
Livia GiordanoSSD Epidemiologia Screening, CPO-AOU Città della Salute e della Scienza di Torino, Via Camillo Benso Di Cavour 31, 10123, Turin, Italy.

Funding

Marie Curie 859860
6 · The paper itself

Abstract

Mammographic breast cancer screening is effective in reducing breast cancer mortality. Nevertheless, several limitations are known. Therefore, developing an alternative or complementary non-invasive tool capable of increasing the accuracy of the screening process is highly desirable. The objective of this study was to identify circulating microRNA (miRs) ratios associated with BC in women attending mammography screening. A nested case-control study was conducted within the ANDROMEDA cohort (women of age 46-67 attending BC screening). Pre-diagnostic plasma samples, information on life-styles and common BC risk factors were collected. Small-RNA sequencing was carried out on plasma samples from 65 cases and 66 controls. miR ratios associated with BC were selected by two-sample Wilcoxon test and lasso logistic regression. Subsequent assessment by RT-qPCR of the miRs contained in the selected miR ratios was carried out as a platform validation. To identify the most promising biomarkers, penalised logistic regression was further applied to candidate miR ratios alone, or in combination with non-molecular factors. Small-RNA sequencing yielded 20 candidate miR ratios associated with BC, which were further assessed by RT-qPCR. In the resulting model, penalised logistic regression selected seven miR ratios (miR-199a-3p_let-7a-5p, miR-26b-5p_miR-142-5p, let-7b-5p_miR-19b-3p, miR-101-3p_miR-19b-3p, miR-93-5p_miR-19b-3p, let-7a-5p_miR-22-3p and miR-21-5p_miR-23a-3p), together with body mass index (BMI), menopausal status (MS), the interaction term BMI * MS, life-style score and breast density. The ROC AUC of the model was 0.79 with a sensitivity and specificity of 71.9% and 76.6%, respectively. We identified biomarkers potentially useful for BC screening measured through a widespread and low-cost technique. This is the first study reporting circulating miRs for BC detection in a screening setting. Validation in a wider sample is warranted.Trial registration: The Andromeda prospective cohort study protocol was retrospectively registered on 27-11-2015 (NCT02618538).

Indexed as

Breast NeoplasmsCirculating MicroRNAMicroRNAsAgedBiomarkers, TumorCase-Control StudiesEarly Detection of CancerFemaleHumansMammographyMiddle AgedProspective StudiesBiomarkers, TumorCirculating MicroRNAMicroRNAs

Identifiers

PMID37491482
PMCPMC10368693

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Registered trials

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.