| Title |
Active cigarette smoking and the risk of breast cancer at the level of N-acetyltransferase 2 (NAT2) gene polymorphisms
|
|---|---|
| Published in |
Tumor Biology, December 2015
|
| DOI | 10.1007/s13277-015-4685-3 |
| Pubmed ID | |
| Authors |
Petra Kasajova, Veronika Holubekova, Andrea Mendelova, Zora Lasabova, Pavol Zubor, Erik Kudela, Kristina Biskupska-Bodova, Jan Danko |
| Abstract |
The aim of our study was to assess the correlation between the tobacco exposure and NAT2 gene (rs1041983 C/T, rs1801280 T/C, rs1799930 G/A) polymorphisms in association with breast cancer development. We wanted to determine the prognostic clinical importance of these polymorphisms in association with smoking and breast cancer. For the detection of possible association between smoking, NAT2 gene polymorphisms, and the risk of breast cancer, we designed a case-controlled study with 198 patients enrolled, 98 breast cancer patients and 100 healthy controls. Ten milliliters of peripheral blood from the cubital vein was withdrawn from every patient. The HRM (high resolution melting) analysis was used for the detection of three abovementioned NAT2 gene polymorphisms. When comparing a group of women smoking more than 5 cigarettes a day with the patients smoking fewer than 5 cigarettes a day, we found out that if women were the carriers of aberrant AA genotype for rs1799930, the first group of women had higher risk of breast carcinoma than the second group. If patients were the carriers of aberrant TT genotype for rs1041983, for rs1801280CC genotype, and rs1799930AA genotype and they smoked more than 5 cigarettes a day, they had higher risk of malignant breast disease than never-smoking women. Our results confirm the hypothesis that NAT2 gene polymorphisms (rs1041983 C/T, rs1801280 T/C, and rs1799930 G/A) in association with long-period active smoking could be the possible individual risk-predicting factors for breast cancer development in the population of Slovak women. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 26% |
| Unspecified | 4 | 17% |
| Other | 1 | 4% |
| Lecturer | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 5 | 22% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 43% |
| Unspecified | 4 | 17% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Immunology and Microbiology | 1 | 4% |
| Unknown | 5 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 December 2015.
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#20,983,210
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#1,851
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#330,682
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Outputs of similar age from Tumor Biology
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