ArticleG3 (Bethesda, Md.)2014
Validation of six genetic determinants of susceptibility to estrogen-induced mammary cancer in the rat and assessment of their relevance to breast cancer risk in humans.
Article in G3 (Bethesda, Md.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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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.
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Who cites it
13 citing papers in PubMed, 17 citations in OpenAlex.
- Rat Models of Hormone Receptor-Positive Breast Cancer.Journal of mammary gland biology and neoplasia · 2024Review
- SEEI: spherical evolution with feedback mechanism for identifying epistatic interactions.BMC genomics · 2024Article
- Rat Mammary carcinoma susceptibility 3 (Mcs3) pleiotropy, socioenvironmental interaction, and comparative genomics with orthologous human 15q25.1-25.2.G3 (Bethesda, Md.) · 2023Article
- Review
- Evidence for immortality and autonomy in animal cancer models is often not provided, which causes confusion on key issues of cancer biology.Journal of Cancer · 2020Review
- Mapping Mammary Tumor Traits in the Rat.Methods in molecular biology (Clifton, N.J.) · 2019Review
- Recursive Feature Elimination by Sensitivity Testing.Proceedings of the ... International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications · 2018Article
- Rat models of 17β-estradiol-induced mammary cancer reveal novel insights into breast cancer etiology and prevention.Physiological genomics · 2018Review
- Genetic variation in sensitivity to estrogens and breast cancer risk.Mammalian genome : official journal of the International Mammalian Genome Society · 2018Review
- Article
- Genome-Wide Analysis Identifies Germ-Line Risk Factors Associated with Canine Mammary Tumours.PLoS genetics · 2016Article
- Development and characterization of a novel rat model of estrogen-induced mammary cancer.Endocrine-related cancer · 2015Article
- Genetic etiology of renal agenesis: fine mapping of Renag1 and identification of Kit as the candidate functional gene.PloS one · 2015Article
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
When treated with 17β-estradiol, female ACI rats (Rattus norvegicus) rapidly develop mammary cancers that share multiple phenotypes with luminal breast cancers. Seven distinct quantitative trait loci that harbor genetic determinants of susceptibility to 17β-estradiol-induced mammary cancer have been mapped in reciprocal intercrosses between susceptible ACI rats and resistant Brown Norway (BN) rats. A panel of unique congenic rat strains has now been generated and characterized to confirm the existence of these quantitative trait loci, designated Emca3 through Emca9, and to quantify their individual effects on susceptibility to 17β-estradiol-induced mammary cancer. Each congenic strain carries BN alleles spanning an individual Emca locus, introgressed onto the ACI genetic background. Data presented herein indicate that BN alleles at Emca3, Emca4, Emca5, Emca6, and Emca9 reduce susceptibility to 17β-estradiol-induced mammary cancer, whereas BN alleles at Emca7 increase susceptibility, thereby confirming the previous interval mapping data. All of these Emca loci are orthologous to regions of the human genome that have been demonstrated in genome-wide association studies to harbor genetic variants that influence breast cancer risk. Moreover, four of the Emca loci are orthologous to loci in humans that have been associated with mammographic breast density, a biomarker of breast cancer risk. This study further establishes the relevance of the ACI and derived congenic rat models of 17β-estradiol-induced mammary cancer for defining the genetic bases of breast cancer susceptibility and elucidating the mechanisms through which 17β-estradiol contributes to breast cancer development.
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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.