Evidence map›Paper›PMID 25522654›Full record

ArticleBreast cancer research : BCR2014

Gene variations in oestrogen pathways, CYP19A1, daily 17β-estradiol and mammographic density phenotypes in premenopausal women.

Vidar G Flote, Anne-Sofie Furberg, Anne McTiernan, Hanne Frydenberg, Giske Ursin, Anita Iversen, Trygve Lofteroed, Peter T Ellison, Erik A Wist, Thore Egeland and 4 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Genetic architecture of mammographic density as a risk factor for breast cancer: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Pooled it
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  5. Genetic Variation and Mendelian Randomization Approaches.Advances in experimental medicine and biology · 2022
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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

14 authors at 7 institutions in 3 countries.

Vidar G FloteThe Cancer Centre, Oslo University Hospital, Oslo, N-0424, Norway. v.g.flote@medisin.uio.no.
Anne-Sofie FurbergDepartment of Community Medicine, Faculty of Health Sciences, UiT, The Arctic University of Norway, Tromsø, N-9037, Norway. anne-sofie.furberg@uit.no.
Anne McTiernanFred Hutchinson Cancer Research Center, Public Health Sciences Division, Seattle, WA, 98109-1024, USA. amctiern@fhcrc.org.
Hanne FrydenbergThe Cancer Centre, Oslo University Hospital, Oslo, N-0424, Norway. hanne.frydenberg@medisin.uio.no.
Giske UrsinCancer Registry of Norway, PO Box 5313, Majorstuen, Oslo, N-0304, Norway. giske.ursin@kreftregisteret.no.
Anita IversenFaculty of Health Sciences, UiT, The Arctic University of Norway, Tromsø, N-9037, Norway. anita.iversen@uit.no.
Trygve LofteroedThe Cancer Centre, Oslo University Hospital, Oslo, N-0424, Norway. loftry@ous-hf.no.
Peter T EllisonDepartment of Anthropology, Harvard University, Cambridge, MA, 02138, USA. pellison@fas.harvard.edu.
Erik A WistThe Cancer Centre, Oslo University Hospital, Oslo, N-0424, Norway. erik.wist@medisin.uio.no.
Thore EgelandDepartment of Chemistry, Norwegian University of Life Sciences, Biotechnology and Food Science, Aas, N-1432, Norway. thore.egeland@nmbu.no.
Tom WilsgaardDepartment of Community Medicine, Faculty of Health Sciences, UiT, The Arctic University of Norway, Tromsø, N-9037, Norway. tom.wilsgaard@uit.no.
Karen W MakarFred Hutchinson Cancer Research Center, Public Health Sciences Division, Seattle, WA, 98109-1024, USA. kmakar@fhcrc.org.
Jenny Chang-ClaudeUnit of Genetic Epidemiology, Division of Cancer Epidemiology, Deutches Krebsforschungszentrum, 69120, Heidelberg, Germany. j.chang-claude@dkfz-heidelberg.de.
Inger ThuneThe Cancer Centre, Oslo University Hospital, Oslo, N-0424, Norway. inger.thune@uit.no.
Oslo University Hospital · NOUiT The Arctic University of Norway · NOFred Hutch Cancer Center · USCancer Registry of Norway · NODKFZ-ZMBH Alliance · DEHarvard University · USNorwegian University of Life Sciences · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHigh mammographic density is an established breast cancer risk factor, and circulating oestrogen influences oestrogen-regulating gene expression in breast cancer development. However, less is known about the interrelationships of common variants in the CYP19A1 gene, daily levels of oestrogens, mammographic density phenotypes and body mass index (BMI) in premenopausal women.

methodsBased on plausible biological mechanisms related to the oestrogen pathway, we investigated the association of single nucleotide polymorphisms (SNPs) in CYP19A1, 17β-estradiol and mammographic density in 202 premenopausal women. DNA was genotyped using the Illumina Golden Gate platform. Daily salivary 17β-estradiol concentrations were measured throughout an entire menstrual cycle. Mammographic density phenotypes were assessed using a computer-assisted method (Madena). We determined associations using multivariable linear and logistic regression models.

resultsThe minor alleles of rs749292 were positively (P = 0.026), and the minor alleles of rs7172156 were inversely (P = 0.002) associated with daily 17β-estradiol. We observed an 87% lower level of daily 17β-estradiol throughout a menstrual cycle in heavier women (BMI >23.6 kg/m(2)) of rs7172156 with minor genotype aa compared with major genotype AA. Furthermore, the rs749292 minor alleles were inversely associated with absolute mammographic density (P = 0.032). Lean women with rs749292 minor alleles had 70 to 80% lower risk for high absolute mammographic density (>32.4 cm(2)); Aa: odds ratio (OR) = 0.23 (95% CI 0.07 to 0.75). Lean women with rs7172156 minor homozygous genotype had OR 5.45 for high absolute mammographic density (aa: OR = 5.45 (95% CI 1.13 to 26.3)).

conclusionOur findings suggest that two SNPs in CYP19A1, rs749292 and rs7172156, are associated with both daily oestrogen levels and mammographic density phenotypes. BMI may modify these associations, but larger studies are needed.

Indexed as

PremenopauseAdultAromataseBody Mass IndexBreast DensityBreast NeoplasmsEstradiolFemaleGenetic VariationHumansMammary Glands, HumanPhenotypePolymorphism, Single NucleotideAromataseCYP19A1 protein, humanEstradiol

Identifiers

PMID25522654
PMCPMC4303212
OpenAlexW2149473690

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.