Literature DB >> 16875935

Single nucleotide polymorphisms of the TGFB1 gene and lung cancer risk in a Korean population.

Kyong Hwa Park1, Sle Gi Lo Han, Young Mi Whang, Hyo Jung Lee, Young Do Yoo, Jae Won Lee, Sang Won Shin, Yeul Hong Kim.   

Abstract

The present study was conducted to investigate the association between single nucleotide polymorphisms (SNPs) of the transforming growth factor-beta 1 (TGFB1) gene and susceptibility to lung cancer and the clinical effect of the SNPs on lung cancer progression in a Korean population. Two polymorphisms in the promoter region of the TGFB1 (T-1572C, C-509T), and one SNP in codon 10 (T+869C) were determined using a SNaPshot primer extension assay in 194 Korean lung cancer patients and 283 normal controls. The polymorphic allele frequencies of A-1572G, C-509T, and T+869C were similar among lung cancer patients (0.52, 0.47, and 0.47, respectively) and controls (0.54, 0.46, and 0.44, respectively). When the data was stratified for smoking history, patients who smoked heavily and had heterozygous C-509T and T+869C genotypes showed an increased lung cancer risk (odds ratio OR = 3.77, confidence interval 95% CI = 1.25-11.30, P = 0.017; OR = 3.61, 95% CI = 1.21-10.74, P = 0.021 for each), after adjustment for age and sex. When heterozygous and homozygous variants for each SNPs were analyzed together, patients who were smokers and had variant genotypes also showed increased risk compared to the reference group. Further analyses to test the effect of the SNPs on the clinical parameters did not reveal an association of each polymorphic allele to the tumor stage or response to treatment. In addition, DNA fragments containing polymorphic genotype of the promoter region (-509T) showed increased transcriptional activity in luciferase assays using non-small cell lung cancer cell lines. In conclusion, this study suggests that heavy smokers in this Korean population who have specific polymorphic variants, which have been associated with increased transcriptional activity of TGFB1, might be more vulnerable to lung cancer.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16875935     DOI: 10.1016/j.cancergencyto.2006.03.012

Source DB:  PubMed          Journal:  Cancer Genet Cytogenet        ISSN: 0165-4608


  16 in total

1.  Genetic variations in the transforming growth factor-beta pathway as predictors of survival in advanced non-small cell lung cancer.

Authors:  Moubin Lin; David J Stewart; Margaret R Spitz; Michelle A T Hildebrandt; Charles Lu; Jie Lin; Jian Gu; Maosheng Huang; Scott M Lippman; Xifeng Wu
Journal:  Carcinogenesis       Date:  2011-04-22       Impact factor: 4.944

2.  Genetic variants in T helper cell type 1, 2 and 3 pathways and gastric cancer risk in a Polish population.

Authors:  Rajeev Mahajan; Emad M El-Omar; Jolanta Lissowska; Paolo Grillo; Charles S Rabkin; Andrea Baccarelli; Meredith Yeager; Leslie H Sobin; Witold Zatonski; Stephen J Channock; Wong-Ho Chow; Lifang Hou
Journal:  Jpn J Clin Oncol       Date:  2008-08-07       Impact factor: 3.019

3.  Relationships between genetic polymorphisms in inflammation-related factor gene and the pathogenesis of nasopharyngeal cancer.

Authors:  Yan-Li Qu; Hong Yu; Yan-Zhi Chen; Yu-Xia Zhao; Guang-Jun Chen; Lu Bai; Dan Liu; Hong-Xin Su; He-Tong Wang
Journal:  Tumour Biol       Date:  2014-06-22

4.  Influence of TGFB1+869T>C functional polymorphism in non-small cell lung cancer (NSCLC) risk.

Authors:  Ana L Teixeira; António Araújo; Ana Coelho; Ricardo Ribeiro; Mónica Gomes; Carina Pereira; Rui Medeiros
Journal:  J Cancer Res Clin Oncol       Date:  2010-05-07       Impact factor: 4.553

5.  TGFB1 509 C/T polymorphism and colorectal cancer risk: a meta-analysis.

Authors:  Fang Fang; Long Yu; Yang Zhong; Lei Yao
Journal:  Med Oncol       Date:  2009-12-10       Impact factor: 3.064

Review 6.  Tgf-beta signaling pathway in lung adenocarcinoma invasion.

Authors:  Rebecca L Toonkel; Alain C Borczuk; Charles A Powell
Journal:  J Thorac Oncol       Date:  2010-02       Impact factor: 15.609

Review 7.  A Decade of GWAS Results in Lung Cancer.

Authors:  Yohan Bossé; Christopher I Amos
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-06-14       Impact factor: 4.254

8.  TGFβ-1 and TGFBR2 polymorphisms, cooking oil fume exposure and risk of lung adenocarcinoma in Chinese nonsmoking females: a case control study.

Authors:  Yangwu Ren; Zhihua Yin; Kun Li; Yan Wan; Xuelian Li; Wei Wu; Peng Guan; Baosen Zhou
Journal:  BMC Med Genet       Date:  2015-04-10       Impact factor: 2.103

9.  Statistical methods for gene set co-expression analysis.

Authors:  YounJeong Choi; Christina Kendziorski
Journal:  Bioinformatics       Date:  2009-08-18       Impact factor: 6.937

10.  Genetic association analysis of complex diseases incorporating intermediate phenotype information.

Authors:  Yafang Li; Jian Huang; Christopher I Amos
Journal:  PLoS One       Date:  2012-10-19       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.