scholarly journals Lack of Association between rs2067474 Polymorphism in Histamine Receptor H2Gene and Breast Cancer in Chinese Han Population

2015 ◽  
Vol 2015 ◽  
pp. 1-6 ◽  
Author(s):  
Wen-Ke Cai ◽  
Jia-Bin Zhang ◽  
Niu-Min Wang ◽  
Ying-Lin Wang ◽  
Can-Hu Zhao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cancer Patients ◽  
Chinese Han Population ◽  
Clinicopathological Parameters ◽  
Breast Cancer Patients ◽  
Chinese Han ◽  
Enhancer Element ◽  
Han Population

Histamine H2receptor (HRH2) was previously suggested to affect the proliferation of breast cancer cells and disease-free survival of breast cancer patients. Furthermore, a common polymorphism, rs2067474, was identified in an enhancer element of theHRH2gene promoter and was reported to be associated with various diseases including cancer. However, the relationship between this polymorphism and breast cancer risk and malignant degree remains unclear. The aim of this study was to clarify the clinical association of rs2067474 polymorphism with breast cancer. A total of 201 unrelated Chinese Han breast cancer patients and 238 ethnicity-matched health controls were recruited and rs2067474 polymorphism was genotyped. Logistic regression analyses were performed to calculate the odds ratios (ORs) as a measure of association of genotype with breast cancer according to 3 genetic models (dominant, recessive, and additive). Although the percentage of hormone receptor negative cases tended to be higher in AA genotypes, we did not find any significant associations of rs2067474 polymorphism with breast cancer risk or with related clinicopathological parameters in the present study, which indicates that rs2067474 polymorphism ofHRH2gene might not be a risk factor in the development of breast cancer in Chinese Han population.

Role of Polymorphisms of FAM13A, PHLDB1, and CYP24A1 in Breast Cancer Risk

2019 ◽  
Vol 19 (8) ◽  
pp. 579-588 ◽  
Author(s):  
Ying Wei ◽  
Xiaolin Wang ◽  
Zhe Zhang ◽  
Mingrui Xie ◽  
Yuyao Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cancer Susceptibility ◽  
Recessive Model ◽  
Chinese Han Population ◽  
Breast Cancer Patients ◽  
Chinese Han ◽  
Han Population ◽  
Increased Risk

Background: Single-nucleotide polymorphisms (SNPs) are important indicators of susceptibility to breast cancer. Objective: To assess the associations between SNPs in the FAM13A, PHLDB1, and CYP24A1 gene and breast cancer risk in the Chinese Han population. Methods: We performed a case-control study including 379 female breast cancer patients and 407 female healthy controls. The three SNPs were genotyped using Agena MassARRAY platform. The χ2 test was used to compare alleles and genotypes frequencies of polymorphisms between case and control groups. Genetic models analyses to assess the associations between SNPs and breast cancer risk by computing odds ratios (ORs) and 95% confidence intervals (CIs) using logistic regression. RegulomeDB and HaploReg databases were used to calculate possible functional effects of polymorphisms. Results: Overall analysis results showed that rs4809957 was associated with an increased risk of breast cancer (allele A: OR = 1.27, 95% CI: 1.03-1.55, p = 0.024; AA vs. GG: OR = 1.80, 95% CI: 1.15–2.82, p = 0.010; recessive model: OR = 1.70, 95% CI: 1.12–2.58, p = 0.012); and rs1059122 was found to be associated with a reduced breast cancer risk in the recessive model (OR = 0.71, 95% CI: 0.51–0.98, p = 0.039). Stratification analysis found significant associations between the three SNPs (rs1059122, rs17748, and rs4809957) and breast cancer risk. Conclusion: Our results suggested that rs1059122 (FAM13A), rs17748 (PHLDB1), and rs4809957 (CYP24A1) might contribute to breast cancer susceptibility in the Chinese Han population. Future studies with large samples are required to confirm our findings, as well as functional studies are needed to explore their function in the breast cancer development.

Impact of Interaction Between PPAR Alpha and PPAR Gamma on Breast Cancer Risk in the Chinese Han Population

2017 ◽  
Vol 17 (5) ◽  
pp. 336-340 ◽  
Author(s):  
Xiong Lianggeng ◽  
Liang Baiwu ◽  
Bai Maoshu ◽  
Liu Jiming ◽  
Li Youshan
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Ppar Gamma ◽  
Chinese Han Population ◽  
Chinese Han ◽  
Ppar Alpha ◽  
Han Population

scholarly journals Genetic polymorphisms (rs10636 and rs28366003) in metallothionein 2A increase breast cancer risk in Chinese Han population

Aging ◽  
2017 ◽  
Vol 9 (2) ◽  
pp. 547-555 ◽  
Author(s):  
Di Liu ◽  
Meng Wang ◽  
Tian Tian ◽  
Xi-Jing Wang ◽  
Hua-Feng Kang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Genetic Polymorphisms ◽  
Increase Breast Cancer Risk ◽  
Chinese Han Population ◽  
Chinese Han ◽  
Han Population

scholarly journals Genetic polymorphisms in caveolin-1 associate with breast cancer risk in Chinese Han population

Oncotarget ◽  
2017 ◽  
Vol 8 (53) ◽  
pp. 91654-91661 ◽  
Author(s):  
Meng Wang ◽  
Tian Tian ◽  
Xiaobin Ma ◽  
Wenge Zhu ◽  
Yan Guo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Genetic Polymorphisms ◽  
Chinese Han Population ◽  
Chinese Han ◽  
Han Population ◽  
Caveolin 1

scholarly journals Genetic Variations in miR-30 Family Member Regulatory Regions Are Associated with Breast Cancer Risk in a Chinese Population

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Jing Zhou ◽  
Lijuan Wang ◽  
Sijun Liu ◽  
Wen Zhou ◽  
Yue Jiang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cancer Patients ◽  
Regulatory Region ◽  
Family Members ◽  
Additive Model ◽  
Control Analysis ◽  
Breast Cancer Patients ◽  
Chinese Han

MicroRNAs (miRNAs) of the miR-30 family are closely linked with tumor metastasis and play key roles in the complex malignant phenotypes of cancers by targeting many tumor-related genes. Deregulated expression of miR-30 family members has been commonly observed in breast cancer. However, associations between the genetic variants in the regulatory region of miR-30 family and the risk of breast cancer are still limited, especially in the Chinese Han population. In the present study, we conducted a case-control analysis wherein 1064 breast cancer patients and 1073 healthy controls underwent genotyping of 10 SNPs in the regulatory region of miR-30 family members. Multivariate logistic regression analyses illustrated that the rs763354 variant in the miR-30a regulatory region was linked with a significant decrease in breast cancer risk in an additive model (adjusted OR=0.86, 95% CI: 0.75-0.98, P=0.022). Further, eQTL analyses also indicated that this SNP was associated with miR-30a expression levels in breast cancer samples compiled in the TCGA database (P=0.020). The Kaplan-Meier plotter showed that breast cancer patients with higher miR-30a expression have significantly better outcomes than do patients expressing low levels of this miRNA (HR=0.75, 95% CI: 0.61-0.91, P=0.0041). Together, these findings suggest that the miR-30a rs763354 SNP is an important regulator of breast cancer risk, thus making it a potentially viable prognostic biomarker and one that can be used to guide therapeutic treatment in affected patients.

IL-1RN gene polymorphisms are associated with breast cancer risk in a Chinese Han population

2017 ◽  
Vol 19 (12) ◽  
pp. e2996 ◽  
Author(s):  
Tianbo Jin ◽  
Wei Cao ◽  
Xiaoxiao Zuo ◽  
Miao Li ◽  
Ya Yang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Gene Polymorphisms ◽  
Chinese Han Population ◽  
Chinese Han ◽  
Han Population
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