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Mendeley readers
| Title |
TGFβ-1 and TGFBR2 polymorphisms, cooking oil fume exposure and risk of lung adenocarcinoma in Chinese nonsmoking females: a case control study
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|---|---|
| Published in |
BMC Medical Genomics, April 2015
|
| DOI | 10.1186/s12881-015-0170-5 |
| Pubmed ID | |
| Authors |
Yangwu Ren, Zhihua Yin, Kun Li, Yan Wan, Xuelian Li, Wei Wu, Peng Guan, Baosen Zhou |
| Abstract |
Transforming growth factor-β (TGF-β) plays an important role in regulating cellular functions, and many studies have demonstrated important roles for TGF-β in various cancers. Single nucleotide polymorphisms (SNPs) of TGF-β may influence lung carcinogenesis. The aim of this study was to test whether TGF-β1 C509T and TGF-β receptor II (TGFBR2) G-875A polymorphisms were associated with lung adenocarcinoma in nonsmoking females. A hospital-based case-control study was performed in Chinese nonsmoking females. Genotyping was performed using TaqMan SNP genotyping assay, and demographic data and environmental exposure were collected by trained interviewers after informed consents were obtained. A total of 272 (95.4%) cases and 313 (99.4%) controls were successfully genotyped, and the results showed that the polymorphic allele frequencies of C509T and G875A were similar among lung adenocarcinoma patients and controls (P=0.589 and 0.643, respectively). However, when the data were stratified for cooking oil fume exposure, the TT genotype of the TGFB1 C509T polymorphism showed a significantly decreased risk for lung adenocarcinoma compared with the CC genotype (adjusted OR=0.362, 95% CI=0.149-0.878, P=0.025). TGF-β1 gene C509T polymorphism might be associated with decreased risk of lung adenocarcinoma in Chinese females exposed to cooking oil fumes, but no association was observed TGFBR2 gene G875A polymorphism. |
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 > Ph. D. Student | 5 | 22% |
| Student > Master | 4 | 17% |
| Student > Doctoral Student | 3 | 13% |
| Student > Bachelor | 2 | 9% |
| Student > Postgraduate | 2 | 9% |
| Other | 3 | 13% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 39% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Agricultural and Biological Sciences | 2 | 9% |
| Nursing and Health Professions | 1 | 4% |
| Environmental Science | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 5 | 22% |