ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2013
Germline copy number variations associated with breast cancer susceptibility in a Japanese population.
Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 16 citations in OpenAlex.
- Multi-Omics Immune Interaction Networks in Lung Cancer Tumorigenesis, Proliferation, and Survival.International journal of molecular sciences · 2022Article
- A novel somatic mutation of SIN3A detected in breast cancer by whole-exome sequencing enhances cell proliferation through ERα expression.Scientific reports · 2018Article
- Blood free-circulating DNA testing by highly sensitive methylation assay to diagnose colorectal neoplasias.Oncotarget · 2018Article
- The 30 kb deletion in theOncotarget · 2017Article
- Germline DNA copy number variations as potential prognostic markers for non-muscle invasive bladder cancer progression.Oncology letters · 2017Article
- BCIP: a gene-centered platform for identifying potential regulatory genes in breast cancer.Scientific reports · 2017Article
- Copy number variants in the sheep genome detected using multiple approaches.BMC genomics · 2016Article
- The association of copy number variation and percent mammographic density.BMC research notes · 2015Article
- Analysis of large mutations in BARD1 in patients with breast and/or ovarian cancer: the Polish population as an example.Scientific reports · 2015Article
- Expanding the genetic basis of copy number variation in familial breast cancer.Hereditary cancer in clinical practice · 2014Article
- Application of Machine Learning to Development of Copy Number Variation-based Prediction of Cancer Risk.Genomics insights · 2014Article
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Authors and funding
17 authors at 1 institution in 1 country.
Funding
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Abstract
Although copy number variations (CNVs) are expected to affect various diseases, little is known about the association between CNVs and breast cancer susceptibility. Therefore, we investigated this relation. Array comparative genomic hybridization was performed to search for candidate CNVs related to breast cancer susceptibility. Subsequent quantitative real-time polymerase chain reaction was carried out for confirmation. We found seven CNV markers associated with breast cancer risk. The means of the relative copy numbers of patients with a history of breast cancer and women in the control group were 0.8 and 1.8 for Hs06535529_cn on 1p36.12 (P < 0.0001), 2.9 and 2.2 for Hs03103056_cn on 3q26.1 (P < 0.0001), 1.2 and 1.8 for Hs03899300_cn on 15q26.3 (P < 0.0001), 1.0 and 1.5 for Hs03908783_cn on 15q26.3 (P < 0.0001), and 1.1 and 1.7 for Hs03898338_cn on 15q26.3 (P < 0.0001), respectively. Interestingly, nine or more copies of Hs04093415_cn on 22q12.3 were found only in 8/193 (4.1 %) patients with a history of breast cancer and in none of the controls (P = 0.0081). Similarly, 12 or more copies of Hs040908898_cn on 22q12.3 were found only in 7/193 (3.6 %) patients with a history of breast cancer and in none of the controls (P = 0.016). A combination of two CNVs resulted in 80.3 % sensitivity, 80.6 % specificity, 82.4 % positive predictive value, and 78.3 % negative predictive value for the prediction of breast cancer susceptibility. These findings may lead to a new means of risk assessment for breast cancer. Confirmatory studies using independent data sets are needed to support our findings.
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