ArticleBritish journal of cancer2005
Array comparative genomic hybridisation (aCGH) analysis of premenopausal breast cancers from a nuclear fallout area and matched cases from Western New York.
Article in British journal of cancer, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- PinX1: structure, regulation and its functions in cancer.Oncotarget · 2016Review
- c-MYC is a radiosensitive locus in human breast cells.Oncogene · 2015Article
- A Single-Array-Based Method for Detecting Copy Number Variants Using Affymetrix High Density SNP Arrays and its Application to Breast Cancer.Cancer informatics · 2014Article
- Fine map of the Gct1 spontaneous ovarian granulosa cell tumor locus.Mammalian genome : official journal of the International Mammalian Genome Society · 2013Article
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- Significance of genomic instability in breast cancer in atomic bomb survivors: analysis of microarray-comparative genomic hybridization.Radiation oncology (London, England) · 2011Article
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- Identification of metastasis-associated breast cancer genes using a high-resolution whole genome profiling approach.Journal of cancer research and clinical oncology · 2011Article
- The telomerase inhibitor PinX1 is a major haploinsufficient tumor suppressor essential for chromosome stability in mice.The Journal of clinical investigation · 2011Article
- Prognostic value of DNA alterations on chromosome 17p13.2 for intrahepatic cholangiocarcinoma.World journal of gastroenterology · 2007Article
- Array-CGH and breast cancer.Breast cancer research : BCR · 2006Review
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Authors and funding
13 authors.
Funding
Abstract
High-resolution array comparative genomic hybridisation (aCGH) analysis of DNA copy number aberrations (CNAs) was performed on breast carcinomas in premenopausal women from Western New York (WNY) and from Gomel, Belarus, an area exposed to fallout from the 1986 Chernobyl nuclear accident. Genomic DNA was isolated from 47 frozen tumour specimens from 42 patients and hybridised to arrays spotted with more than 3000 BAC clones. In all, 20 samples were from WNY and 27 were from Belarus. In total, 34 samples were primary tumours and 13 were lymph node metastases, including five matched pairs from Gomel. The average number of total CNAs per sample was 76 (range 35-134). We identified 152 CNAs (92 gains and 60 losses) occurring in more than 10% of the samples. The most common amplifications included gains at 8q13.2 (49%), at 1p21.1 (36%), and at 8q24.21 (36%). The most common deletions were at 1p36.22 (26%), at 17p13.2 (26%), and at 8p23.3 (23%). Belarussian tumours had more amplifications and fewer deletions than WNY breast cancers. HER2/neu negativity and younger age were also associated with a higher number of gains and fewer losses. In the five paired samples, we observed more discordant than concordant DNA changes. Unsupervised hierarchical cluster analysis revealed two distinct groups of tumours: one comprised predominantly of Belarussian carcinomas and the other largely consisting of WNY cases. In total, 50 CNAs occurred significantly more commonly in one cohort vs the other, and these included some candidate signature amplifications in the breast cancers in women exposed to significant radiation. In conclusion, our high-density aCGH study has revealed a large number of genetic aberrations in individual premenopausal breast cancer specimens, some of which had not been reported before. We identified a distinct CNA profile for carcinomas from a nuclear fallout area, suggesting a possible molecular fingerprint of radiation-associated breast cancer.
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