Evidence map›Paper›PMID 20799965›Full record

ArticleBreast cancer research : BCR2010

Expression levels of uridine 5'-diphospho-glucuronosyltransferase genes in breast tissue from healthy women are associated with mammographic density.

Vilde D Haakensen, Margarethe Biong, Ole Christian Lingjærde, Marit Muri Holmen, Jan Ole Frantzen, Ying Chen, Dina Navjord, Linda Romundstad, Torben Lüders, Ida K Bukholm and 5 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

24 citing papers in PubMed, 68 citations in OpenAlex.

  1. Rab22a is a novel prognostic marker for cell progression in breast cancer.International journal of molecular medicine · 2020
    Trial
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Association BetweenFrontiers in genetics · 2021
    Review
  9. Article
  10. Article
  11. Post-transcriptional Regulation of UGT2B10 Hepatic Expression and Activity by Alternative Splicing.Drug metabolism and disposition: the biological fate of chemicals · 2018
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Relationship of mammographic density and gene expression: analysis of normal breast tissue surrounding breast cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2013
    Article
  20. 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

15 authors at 8 institutions in 2 countries.

Vilde D HaakensenDepartment of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Montebello, NO-0310, Norway.
Margarethe Biong
Ole Christian Lingjærde
Marit Muri Holmen
Jan Ole Frantzen
Ying Chen
Dina Navjord
Linda Romundstad
Torben Lüders
Ida K Bukholm
Hiroko K Solvang
Vessela N Kristensen
Giske Ursin
Anne-Lise Børresen-Dale
Aslaug Helland
Oslo University Hospital · NOUniversity of Oslo · NOAkershus University Hospital · NODrammen Hospital · NOInnlandet Hospital Trust · NOSykehuset i Vestfold · NOUniversity Hospital of North Norway · NOUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMammographic density (MD), as assessed from film screen mammograms, is determined by the relative content of adipose, connective and epithelial tissue in the female breast. In epidemiological studies, a high percentage of MD confers a four to six fold risk elevation of developing breast cancer, even after adjustment for other known breast cancer risk factors. However, the biologic correlates of density are little known.

methodsGene expression analysis using whole genome arrays was performed on breast biopsies from 143 women; 79 women with no malignancy (healthy women) and 64 newly diagnosed breast cancer patients, both included from mammographic centres. Percent MD was determined using a previously validated, computerized method on scanned mammograms. Significance analysis of microarrays (SAM) was performed to identify genes influencing MD and a linear regression model was used to assess the independent contribution from different variables to MD.

resultsSAM-analysis identified 24 genes differentially expressed between samples from breasts with high and low MD. These genes included three uridine 5'-diphospho-glucuronosyltransferase (UGT) genes and the oestrogen receptor gene (ESR1). These genes were down-regulated in samples with high MD compared to those with low MD. The UGT gene products, which are known to inactivate oestrogen metabolites, were also down-regulated in tumour samples compared to samples from healthy individuals. Several single nucleotide polymorphisms (SNPs) in the UGT genes associated with the expression of UGT and other genes in their vicinity were identified.

conclusionsThree UGT enzymes were lower expressed both in breast tissue biopsies from healthy women with high MD and in biopsies from newly diagnosed breast cancers. The association was strongest amongst young women and women using hormonal therapy. UGT2B10 predicts MD independently of age, hormone therapy and parity. Our results indicate that down-regulation of UGT genes in women exposed to female sex hormones is associated with high MD and might increase the risk of breast cancer.

Indexed as

Gene Expression ProfilingMammographyBiopsyBreastBreast NeoplasmsFemaleGenome-Wide Association StudyGlucuronosyltransferaseHumansIsoenzymesLinear ModelsMiddle AgedParityPolymorphism, Single NucleotidePregnancyRisk FactorsGlucuronosyltransferaseIsoenzymesUGT2B10 protein, human

Identifiers

PMID20799965
PMCPMC2949660
OpenAlexW1980574509

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.