Evidence map›Paper›PMID 29444691›Full record

ArticleBreast cancer research : BCR2018

Affinity proteomic profiling of plasma for proteins associated to area-based mammographic breast density.

Sanna Byström, Martin Eklund, Mun-Gwan Hong, Claudia Fredolini, Mikael Eriksson, Kamila Czene, Per Hall, Jochen M Schwenk, Marike Gabrielson

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2018. 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
0.9field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Sanna ByströmScience for Life Laboratory, School of Biotechnology, KTH - Royal Institute of Technology, Stockholm, Sweden.
Martin EklundDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, -171 77, Stockholm, SE, Sweden.
Mun-Gwan HongScience for Life Laboratory, School of Biotechnology, KTH - Royal Institute of Technology, Stockholm, Sweden.
Claudia FredoliniScience for Life Laboratory, School of Biotechnology, KTH - Royal Institute of Technology, Stockholm, Sweden.
Mikael ErikssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, -171 77, Stockholm, SE, Sweden.
Kamila CzeneDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, -171 77, Stockholm, SE, Sweden.
Per HallDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, -171 77, Stockholm, SE, Sweden.
Jochen M SchwenkScience for Life Laboratory, School of Biotechnology, KTH - Royal Institute of Technology, Stockholm, Sweden.
Marike GabrielsonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, -171 77, Stockholm, SE, Sweden. marike.gabrielson@ki.se.
Karolinska Institutet · SEKTH Royal Institute of Technology · SEScience for Life Laboratory · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMammographic breast density is one of the strongest risk factors for breast cancer, but molecular understanding of how breast density relates to cancer risk is less complete. Studies of proteins in blood plasma, possibly associated with mammographic density, are well-suited as these allow large-scale analyses and might shed light on the association between breast cancer and breast density.

methodsPlasma samples from 1329 women in the Swedish KARMA project, without prior history of breast cancer, were profiled with antibody suspension bead array (SBA) assays. Two sample sets comprising 729 and 600 women were screened by two different SBAs targeting a total number of 357 proteins. Protein targets were selected through searching the literature, for either being related to breast cancer or for being linked to the extracellular matrix. Association between proteins and absolute area-based breast density (AD) was assessed by quantile regression, adjusting for age and body mass index (BMI).

resultsPlasma profiling revealed linear association between 20 proteins and AD, concordant in the two sets of samples (p < 0.05). Plasma levels of seven proteins were positively associated and 13 proteins negatively associated with AD. For eleven of these proteins evidence for gene expression in breast tissue existed. Among these, ABCC11, TNFRSF10D, F11R and ERRF were positively associated with AD, and SHC1, CFLAR, ACOX2, ITGB6, RASSF1, FANCD2 and IRX5 were negatively associated with AD.

conclusionsScreening proteins in plasma indicates associations between breast density and processes of tissue homeostasis, DNA repair, cancer development and/or progression in breast cancer. Further validation and follow-up studies of the shortlisted protein candidates in independent cohorts will be needed to infer their role in breast density and its progression in premenopausal and postmenopausal women.

Indexed as

ProteomicsAdolescentAdultAgedBlood ProteinsBody Mass IndexBreastBreast DensityBreast NeoplasmsDisease ProgressionFemaleHumansMammographyMiddle AgedPostmenopausePremenopauseBlood ProteinsAffinity proteomicsKARMA cohortMammographic breast densityPlasmaProtein profilingSuspension bead array

Identifiers

PMID29444691
PMCPMC5813412
OpenAlexW2804973094

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.