Evidence map›Paper›PMID 21470416›Full record

ArticleBreast cancer research : BCR2011

Genetic variation in PRL and PRLR, and relationships with serum prolactin levels and breast cancer risk: results from a population-based case-control study in Poland.

Sarah J Nyante, Jessica M Faupel-Badger, Mark E Sherman, Ruth M Pfeiffer, Mia M Gaudet, Roni T Falk, Abegail A Andaya, Jolanta Lissowska, Louise A Brinton, Beata Peplonska and 4 more

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. The role ofTranslational cancer research · 2020
    Article
  4. Article
  5. Article
  6. Review
  7. The prolactin receptor: Diverse and emerging roles in pathophysiology.Journal of clinical & translational endocrinology · 2015
    Review
  8. Review
  9. Microarray-based identification of differentially expressed genes in extramammary Paget's disease.International journal of clinical and experimental medicine · 2015
    Article
  10. Hormonal determinants of nipple aspirate fluid yield among breast cancer cases and screening controls.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2013
    Article
  11. Article
  12. 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

14 authors.

Sarah J NyanteDivision of Cancer Epidemiology and Genetics, National Cancer Institute, 6120 Executive Boulevard, Rockville, MD 20852, USA. sarah.nyante@nih.gov
Jessica M Faupel-Badger
Mark E Sherman
Ruth M Pfeiffer
Mia M Gaudet
Roni T Falk
Abegail A Andaya
Jolanta Lissowska
Louise A Brinton
Beata Peplonska
Barbara K Vonderhaar
Stephen Chanock
Montserrat Garcia-Closas
Jonine D Figueroa

Funding

Hormone-Related CancersZIACP010126 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GIERACH, GRETCHEN · 2009 to 2025
$103.5M
Intramural NIH HHS
6 · The paper itself

Abstract

introductionStudies suggest that high circulating levels of prolactin increase breast cancer risk. It is unclear if genetic variations in prolactin (PRL) or prolactin receptor (PRLR) genes also play a role. Thus, we examined the relationship between single nucleotide polymorphisms (SNPs) in PRL and PRLR, serum prolactin levels and breast cancer risk in a population-based case-control study.

methodsWe genotyped 8 PRL and 20 PRLR tag SNPs in 1965 breast cancer cases and 2229 matched controls, aged 20-74, and living in Warsaw or Łódź, Poland. Serum prolactin levels were measured by immunoassay in a subset of 773 controls. Odds ratios (ORs) and 95% confidence intervals (CIs) for genotype associations with breast cancer risk were estimated using unconditional logistic regression, adjusted for age and study site. Geometric mean prolactin levels were estimated using linear regression models adjusted for age, study site, blood collection time, and menstrual cycle day (premenopausal women).

resultsThree SNPs were associated with breast cancer risk: in premenopausal women, PRLR rs249537 (T vs. C per-allele OR 1.39, 95% CI 1.07 - 1.80, P = 0.01); and in postmenopausal women, PRLR rs7718468 (C vs. T per-allele OR 1.16, 95% CI 1.03 - 1.30, P = 0.01) and PRLR rs13436213 (A vs. G per-allele OR 1.13 95% CI 1.01 - 1.26, P = 0.04). However, mean serum prolactin levels for these SNPs did not vary by genotype (P-trend > 0.05). Other SNPs were associated with serum prolactin levels: PRLR rs62355518 (P-trend = 0.01), PRLR rs10941235 (P-trend = 0.01), PRLR rs1610218 (P-trend = 0.01), PRLR rs34024951 (P-trend = 0.02), and PRLR rs9292575 (P-trend = 0.03) in premenopausal controls and PRL rs849872 (P-trend = 0.01) in postmenopausal controls.

conclusionsOur data provide limited support for an association between common variations in PRLR and breast cancer risk. Altered serum prolactin levels were not associated with breast cancer risk-associated variants, suggesting that common genetic variation is not a strong predictor of prolactin-associated breast cancer risk in this population.

Indexed as

Polymorphism, Single NucleotideAdultAgedBreast NeoplasmsCase-Control StudiesFemaleGenotypeHumansMiddle AgedPolandPostmenopausePremenopauseProlactinReceptors, ProlactinRisk FactorsProlactinReceptors, Prolactin

Identifiers

PMID21470416
PMCPMC3219205

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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.