Methyl-CpG binding domain 4 tagging polymorphisms and esophageal cancer risk in a Chinese population

2015 ◽  
Vol 24 (2) ◽  
pp. 100-105 ◽  
Author(s):  
Jun Yin ◽  
Yijun Shi ◽  
Junbo Zuo ◽  
Weifeng Tang ◽  
Liming Wang ◽  
...  
2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Xudong Liu ◽  
Liping Sun ◽  
Wenjing Zhao

Abstract Background Phytosterols have anticancer effects and have been shown to inhibit various forms of cancer. However, epidemiological studies on the relationship between phytosterols and esophageal cancer risk are quite limited. The aim of this study was to investigate dietary phytosterol intake in relation to esophageal squamous cell carcinoma (ESCC) in the Chinese population. Methods A case–control study was conducted from July 2011 to June 2013, recruiting 856 eligible ESCC cases plus 856 controls. Dietary information was collected by using a validated food frequency questionnaire. The OR and 95% CI of ESCC risk were assessed by multivariable logistic regression models. Results The total phytosterols was found to be associated with a 56% (95% CI: 0.32- 0.61) reduction in ESCC risk when comparing the highest with the lowest tertiles, after adjusting for various confounders. An inverse association was also found between the consumption of β-sitostanol, β-sitosterol, campesterol and ESCC risk. No statistically significant association was found between rapesanol and ESCC risk. Conclusions These data indicated that the consumption of total phytosterols, β-sitostanol, β-sitosterol, campesterol is inversely associated with ESCC risk in a Chinese population Key messages Phytosterols consumption may contribute to the prevention of esophageal squamous cell carcinoma


2012 ◽  
Vol 7 (2) ◽  
pp. 448-452 ◽  
Author(s):  
Ting Li ◽  
Qifeng Suo ◽  
Dan He ◽  
Wenting Du ◽  
Mingming Yang ◽  
...  

Chemotherapy ◽  
2019 ◽  
Vol 64 (1) ◽  
pp. 28-35 ◽  
Author(s):  
Tianchang Wang ◽  
Yan Feng ◽  
Zheng Zhao ◽  
Hao Wang ◽  
Yanbing Zhang ◽  
...  

Background: Recent evidence suggested that IL1RN (interleukin-1 receptor antagonist) polymorphisms increased the susceptibility to cancers. The present study aimed to evaluate whether IL1RN was related to esophageal cancer susceptibility in a Northwest Han Chinese population. Methods: The case-control study was conducted on 384 esophageal cancer patients and 499 healthy controls. We successfully genotyped four SNPs distributed in IL1RN. The Gene Expression Profiling Interactive Analysis (GEPIA) database was used to observe the expression of IL1RN in esophageal cancer tissues and normal tissues. RegulomeDB and HaploReg v4.1 were used to calculate possible functional effects of the polymorphisms. We also used genetic models to detect any potential association between IL1RN variants and esophageal cancer risk. Results: In our study, rs3181052 was associated with a reduced risk of esophageal cancer in the codominant (odds ratio [OR] = 0.70, 95% confidence interval [CI] 0.52–0.93, p = 0.040), the dominant (OR = 0.75, 95% CI 0.57–0.99, p = 0.041), and the overdominant (OR = 0.71, 95% CI 0.54–0.93, p = 0.012) model. The rs452204 was associated with a 0.76-fold (OR = 0.76, 95% CI 0.58–0.99; p = 0.043) decreased esophageal cancer risk under the overdominant model without adjustment. We also found that rs3181052 had a negative effect on esophageal cancer under the overdominant model (OR = 0.72, 95% CI 0.53–0.97, p = 0.033) adjusted for age and gender. In stratified analyses by age >55 years, rs3181052 reduced the risk of esophageal cancer in the dominant and overdominant models. In addition, rs315919 had a remarkable influence on esophageal cancer risk in females, while the association was not significant between rs3181052 and esophageal cancer risk in males. Conclusions: Our study provided the first evidence that IL1RN rs3181052, rs452204, and rs315919 are correlated with a decreased risk of esophageal cancer in a Northwest Han Chinese population. These findings may be useful for the development of early prognostics for esophageal cancer. However, further larger studies on different ethnic populations are warranted to verify these findings.


Biomarkers ◽  
2016 ◽  
Vol 21 (6) ◽  
pp. 523-529 ◽  
Author(s):  
Mingna Li ◽  
Wenbo Zhang ◽  
Chao Liu ◽  
Yijun Shi ◽  
Weifeng Tang ◽  
...  

Biomarkers ◽  
2008 ◽  
Vol 13 (6) ◽  
pp. 607-617 ◽  
Author(s):  
Hongliang Liu ◽  
Guangfu Jin ◽  
Haifeng Wang ◽  
Wenting Wu ◽  
Yanhong Liu ◽  
...  

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