In short, we concluded that two polymorphisms (rs334348, rs10512263) in <i>TGFBR1</i> were associated with risk of gastric cancer, and that <i>TLR4</i> rs1927911 and <i>TGFBR1</i> rs10512263 were associated with clinical outcomes of gastric cancer patients.
In short, we concluded that two polymorphisms (rs334348, rs10512263) in <i>TGFBR1</i> were associated with risk of gastric cancer, and that <i>TLR4</i> rs1927911 and <i>TGFBR1</i> rs10512263 were associated with clinical outcomes of gastric cancer patients.
After combining the two stages, we found that these two SNPs were associated with a significantly increased risk of gastr</span>ic cancer in dominant models [adjusted odds ratio (OR) = 1.36, 95% confidence interval (CI): 1.14-1.63 for rs6478974 AT/AA vs. TT; adjusted OR = 1.26, 95% CI: 1.05-1.50 for rs10512263 CT/CC vs. TT] or additive model (adjusted OR = 1.23, 95% CI: 1.08-1.40 for rs6478974).
After combining the two stages, we found that these two SNPs were associated with a significantly increased risk of gastr</span>ic cancer in dominant models [adjusted odds ratio (OR) = 1.36, 95% confidence interval (CI): 1.14-1.63 for rs6478974 AT/AA vs. TT; adjusted OR = 1.26, 95% CI: 1.05-1.50 for rs10512263 CT/CC vs. TT] or additive model (adjusted OR = 1.23, 95% CI: 1.08-1.40 for rs6478974).
We have tested for an association between rs11466445 and risk of CRC using several family-based statistical tests in a new study group comprising members of non-syndromic high risk CRC families sourced from three familial cancer centres, two in Australia and one in Spain.
The role of transforming growth factor beta receptor type 1 (TGFBR1) polymorphisms, particularly a coding CGC insertion (rs11466445, TGFBR1*6A/9A) in exon 1, has been extensively investigated in regard to colorectal cancer (CRC) risk.
In the rs868 AG heterozygotes, this correlation was stronger and there was a negative correlation between let-7/miR98 and Ishak A score, which is in concordance with the previously demonstrated protective role of this genotype in post-transplant hepatitis C recurrence.
Classification and regression tree (CART) demonstrated that women carrying both the genotypes of TGFBR1 rs6478974 TT and rs10512263 TC/CC had the highest risk of EC (aOR = 7.86, 95% CI = 3.42-18.07, P<0.0001).
Classification and regression tree (CART) demonstrated that women carrying both the genotypes of TGFBR1 rs6478974 TT and rs10512263 TC/CC had the highest risk of EC (aOR = 7.86, 95% CI = 3.42-18.07, P<0.0001).
Logistic regression (LR) showed that the genetic variants of TGFB1 rs1800469, TGFBR1 rs6478974 and rs10733710, TWIST1 rs4721745 were associated with decreased EC risk, and these four loci showed a dose-dependent effect (Ptrend < 0.0001).
Logistic regression (LR) showed that the genetic variants of TGFB1 rs1800469, TGFBR1 rs6478974 and rs10733710, TWIST1 rs4721745 were associated with decreased EC risk, and these four loci showed a dose-dependent effect (Ptrend < 0.0001).
Additionally, gene-smoking interactions for rs11874392, rs10988706 and rs6478972 were also found to enhance the risk of CRC at both stages, with P for multiplicative interaction equal to 1.162×10(-6), 8.574×10(-8) and 9.410×10(-8) in combined analyses, respectively.
Multivariable logistic regression of cancer status in an over-dominant TGFB1 rs1800469/TGFBR1 rs11568785 model demonstrated a 3.03-fold reduction in cervical cancer odds.
Multivariable logistic regression of cancer status in an over-dominant TGFB1 rs1800469/TGFBR1 rs11568785 model demonstrated a 3.03-fold reduction in cervical cancer odds.
Multivariable logistic regression of cancer status in an over-dominant TGFB1 rs1800469/TGFBR1 rs11568785 model demonstrated a 3.03-fold reduction in cervical cancer odds.
Multivariable logistic regression of cancer status in an over-dominant TGFB1 rs1800469/TGFBR1 rs11568785 model demonstrated a 3.03-fold reduction in cervical cancer odds.
Multivariable logistic regression of cancer status in an over-dominant TGFB1 rs1800469/TGFBR1 rs11568785 model demonstrated a 3.03-fold reduction in cervical cancer odds.
TGF-β signaling in breast cancer cells was modulated by expression of kinase-inactive TGFBR1-K232R (dnTGFBR1) or constitutive-active TGFBR1-T204D (caTGFBR1) receptor mutants.