Evidence map›Paper›PMID 35954468›Full record

ArticleCancers2022

Elevated miR-29c-5p Expression in Nipple Aspirate Fluid Is Associated with Extremely High Mammographic Breast Density.

Tessa A C M Vissers, Leonie Piek, Susana I S Patuleia, Aafke J Duinmeijer, Marije F Bakker, Elsken van der Wall, Paul J van Diest, Carla H van Gils, Cathy B Moelans

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. 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
0.1field-weighted citation impact, top 61% 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, 1 citations in OpenAlex.

  1. Review
  2. 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 at 1 institution in 1 country.

Tessa A C M VissersDepartment of Pathology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands.
Leonie PiekDepartment of Pathology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands.
Susana I S PatuleiaDepartment of Pathology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands.ORCID 0000-0003-1250-6693
Aafke J DuinmeijerDepartment of Medical Oncology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands.
Marije F BakkerDepartment of Epidemiology of the Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands.
Elsken van der WallDepartment of Medical Oncology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands.
Paul J van DiestDepartment of Pathology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands.
Carla H van GilsDepartment of Epidemiology of the Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands.
Cathy B MoelansDepartment of Pathology, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands.
University Medical Center Utrecht · NL

Funding

Bayer Pharmaceuticals BSP-DENSEDutch Cancer Society DCS-UU-2009-Pink Ribbon-10074Netherlands Organisation for Health Research and Development ZonMW-200320002-UMCUNetherlands Organisation for Health Research and Development ZonMW preventie 50-53125-98-014University Medical Center Utrecht UMCU DENSE
6 · The paper itself

Abstract

High mammographic density (MD) is associated with an increased risk of breast cancer, however the underlying mechanisms are largely unknown. This research aimed to identify microRNAs (miRNAs) that play a role in the development of extremely dense breast tissue. In the discovery phase, 754 human mature miRNAs were profiled in 21 extremely high MD- and 20 very low MD-derived nipple aspirate fluid (NAF) samples from healthy women. In the validation phase, candidate miRNAs were assessed in a cohort of 89 extremely high MD and 81 very low MD NAF samples from healthy women. Independent predictors of either extremely high MD or miRNA expression were identified by logistic regression and linear regression analysis, respectively. mRNA targets and pathways were identified through miRTarBase, TargetScan, and PANTHER pathway analysis. Statistical analysis identified four differentially expressed miRNAs during the discovery phase. During the validation, linear regression (

Indexed as

breast cancermammographic densitymiRNAnipple aspirate fluid

Identifiers

PMID35954468
PMCPMC9367509
OpenAlexW4290466576

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.