ArticleBMC cancer2015
Associations between breast density and a panel of single nucleotide polymorphisms linked to breast cancer risk: a cohort study with digital mammography.
Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- 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 · 2023Pooled it
- Lifecourse Growth and Development Determinants of Mammographic Density in Black Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024Article
- The epidemiologic factors associated with breast density: A review.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2022Review
- Mutation of NEKL-4/NEK10 and TTLL genes suppress neuronal ciliary degeneration caused by loss of CCPP-1 deglutamylase function.PLoS genetics · 2020Article
- The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density.NPJ breast cancer · 2020Article
- Breast cancer: influence of tumour volume estimation method at MRI on prediction of pathological response to neoadjuvant chemotherapy.The British journal of radiology · 2018Article
- Genetic Modifiers of the Breast Tumor Microenvironment.Trends in cancer · 2018Review
- Novel Quantitative Imaging for Predicting Response to Therapy: Techniques and Clinical Applications.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2018Review
- Affinity proteomic profiling of plasma for proteins associated to area-based mammographic breast density.Breast cancer research : BCR · 2018Article
- Breast parenchymal patterns in processed versus raw digital mammograms: A large population study toward assessing differences in quantitative measures across image representations.Medical physics · 2016Article
- Racial Differences in Quantitative Measures of Area and Volumetric Breast Density.Journal of the National Cancer Institute · 2016Article
- Stromal characteristics may hold the key to mammographic density: the evidence to date.Oncotarget · 2016Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundBreast density and single-nucleotide polymorphisms (SNPs) have both been associated with breast cancer risk. To determine the extent to which these two breast cancer risk factors are associated, we investigate the association between a panel of validated SNPs related to breast cancer and quantitative measures of mammographic density in a cohort of Caucasian and African-American women.
methodsIn this IRB-approved, HIPAA-compliant study, we analyzed a screening population of 639 women (250 African American and 389 Caucasian) who were tested with a validated panel assay of 12 SNPs previously associated to breast cancer risk. Each woman underwent digital mammography as part of routine screening and all were interpreted as negative. Both absolute and percent estimates of area and volumetric density were quantified on a per-woman basis using validated software. Associations between the number of risk alleles in each SNP and the density measures were assessed through a race-stratified linear regression analysis, adjusted for age, BMI, and Gail lifetime risk.
resultsThe majority of SNPs were not found to be associated with any measure of breast density. SNP rs3817198 (in LSP1) was significantly associated with both absolute area (p = 0.004) and volumetric (p = 0.019) breast density in Caucasian women. In African-American women, SNPs rs3803662 (in TNRC9/TOX3) and rs4973768 (in NEK10) were significantly associated with absolute (p = 0.042) and percent (p = 0.028) volume density respectively.
conclusionsThe majority of SNPs investigated in our study were not found to be significantly associated with breast density, even when accounting for age, BMI, and Gail risk, suggesting that these two different risk factors contain potentially independent information regarding a woman's risk to develop breast cancer. Additionally, the few statistically significant associations between breast density and SNPs were different for Caucasian versus African American women. Larger prospective studies are warranted to validate our findings and determine potential implications for breast cancer risk assessment.
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