scholarly journals Urinary estrogen metabolites and breast cancer risk in Chinese population

2021 ◽  
Author(s):  
Xiaomin Li ◽  
Ling Fang ◽  
Hongjiang Li ◽  
Xiaoqin Yang
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Predictive Value ◽  
Breast Diseases ◽  
Estrogen Metabolism ◽  
Urinary Concentration ◽  
Breast Cancer Patients ◽  
Estrogen Metabolites ◽  
Metabolic Pattern

Background: In China, the association between estrogen metabolism and breast cancer risk and the differences in metabolic pattern between breast cancer patients and controls are poorly understood. Methods: A total of 84 patients with invasive breast cancer and 47 controls with benign breast diseases were included in this study. Estrogen metabolites from their morning urine were determined by HPLC-MS/MS and evaluated in both groups, and the predictive value of each estrogen metabolite in the malignant group according to their menstrual status was analyzed. Results: Urinary concentration of estrogen metabolites 2-OHE1, 2-OHE2, 4-OHE2, 4-MeOE1, and 16ɑ-OHE1 were lower in postmenopausal patients with breast cancer, compared with benign controls, In logistic regression model, breast cancer risk increased with the decline in the levels of 4-OHE2 and 4-MeOE1. In premenopausal patients,, a difference in the level of 2-OHE2 was observed between both groups, and 2-OHE2 was found to have predictive value for breast cancer. Additionally, urinary 2-OHE2 level in premenopausal HR+ patients was considerably higher compared with HR- patients. Conclusions: We found that lower urinary levels of 4-OHE2 and 4-MeOE1had predictive value for breast cancer, and higher 2-OHE1 were associated with HR+ breast cancer in premenopausal women.

scholarly journals Discovery of breast cancer risk genes and establishment of a prediction model based on estrogen metabolism regulation

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Feng Zhao ◽  
Zhixiang Hao ◽  
Yanan Zhong ◽  
Yinxue Xu ◽  
Meng Guo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Healthy Subjects ◽  
Metabolic Enzyme ◽  
Estrogen Metabolism ◽  
Polygenic Risk Score ◽  
Risk Genes ◽  
Polygenic Risk ◽  
Enzyme Gene

Abstract Background Multiple common variants identified by genome-wide association studies have shown limited evidence of the risk of breast cancer in Chinese individuals. In this study, we aimed to uncover the relationship between estrogen levels and the genetic polymorphism of estrogen metabolism-related enzymes in breast cancer (BC) and establish a risk prediction model composed of estrogen-metabolizing enzyme genes and GWAS-identified breast cancer-related genes based on a polygenic risk score. Methods Unrelated BC patients and healthy subjects were recruited for analysis of estrogen levels and single nucleotide polymorphisms (SNPs) in genes encoding estrogen metabolism-related enzymes. The polygenic risk score (PRS) was used to explore the combined effect of multiple genes, which was calculated using a Bayesian approach. An independent sample t-test was used to evaluate the differences between PRS scores of BC and healthy subjects. The discriminatory accuracy of the models was compared using the area under the receiver operating characteristic (ROC) curve. Results The estrogen homeostasis profile was disturbed in BC patients, with parent estrogens (E1, E2) and carcinogenic catechol estrogens (2/4-OHE1, 2-OHE2, 4-OHE2) significantly accumulating in the serum of BC patients. We then established a PRS model to evaluate the role of SNPs in multiple genes. PRS model 1 (M1) was established from SNPs in 6 GWAS-identified high risk genes. On the basis of M1, we added SNPs from 7 estrogen metabolism enzyme genes to establish PRS model 2 (M2). The independent sample t-test results showed that there was no difference between BC and healthy subjects in M1 (P = 0.17); however, there was a significant difference between BC and healthy subjects in M2 (P = 4.9*10− 5). The ROC curve results showed that the accuracy of M2 (AUC = 62.18%) in breast cancer risk identification was better than that of M1 (AUC = 54.56%). Conclusion Estrogen and related metabolic enzyme gene polymorphisms are closely related to BC. The model constructed by adding estrogen metabolic enzyme gene SNPs has a good predictive ability for breast cancer risk, and the accuracy is greatly improved compared with that of the PRS model that only includes GWAS-identified gene SNPs.

Association of APC and MCC Polymorphisms with Increased Breast Cancer Risk in an Indian Population

2011 ◽  
Vol 26 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Nupur Mukherjee ◽  
Nilanjana Bhattacharya ◽  
Satyabrata Sinha ◽  
Neyaz Alam ◽  
Runu Chakravarti ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Signaling Pathway ◽  
Wnt Signaling Pathway ◽  
Minor Allele ◽  
Nucleotide Polymorphisms ◽  
Breast Cancer Patients ◽  
Increased Risk ◽  
Risk Of Cancer

The adenomatous polyposis coli (APC) and mutated in colorectal cancer (MCC) genes are key regulatory genes of the Wnt/β-catenin signaling pathway, which are independently involved in maintaining low levels of β-catenin in the cell. In addition to genetic and epigenetic alterations, some genetic polymorphisms in the genes associated with the Wnt signaling pathway have been reported to be associated with an increased risk of cancer, including breast cancer. In the present study we analyzed the association of genotype and haplotype status of two single nucleotide polymorphisms (SNPs), rs2229992 and rs11283943, in the APC and MCC genes, respectively, with an increased risk of breast carcinogenesis in a breast cancer and control population from eastern India. We observed a significant association of the rs11283943 SNP with increased breast cancer risk. Two specific haplotypes involving the minor allele of rs11283943 were found to be associated with an increased breast cancer risk. Kaplan-Meier curves showed a significant association of the 2–2 genotype (genotype homozygous for the rs11283943 minor allele) with decreased survival (p=0.045) of the breast cancer patients in our study, in particular patients with early-onset BC.

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.

scholarly journals Genetic susceptibility to radiation-induced breast cancer after Hodgkin lymphoma

Blood ◽  
2019 ◽  
Vol 133 (10) ◽  
pp. 1130-1139 ◽  
Author(s):  
Annemieke W. J. Opstal-van Winden ◽  
Hugoline G. de Haan ◽  
Michael Hauptmann ◽  
Marjanka K. Schmidt ◽  
Annegien Broeks ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
General Population ◽  
Cancer Risk ◽  
Cancer Patients ◽  
Hodgkin Lymphoma ◽  
Genetic Factors ◽  
Polygenic Risk Score ◽  
Control Analysis ◽  
Breast Cancer Patients

Abstract Female Hodgkin lymphoma (HL) patients treated with chest radiotherapy (RT) have a very high risk of breast cancer. The contribution of genetic factors to this risk is unclear. We therefore examined 211 155 germline single-nucleotide polymorphisms (SNPs) for gene-radiation interaction on breast cancer risk in a case-only analysis including 327 breast cancer patients after chest RT for HL and 4671 first primary breast cancer patients. Nine SNPs showed statistically significant interaction with RT on breast cancer risk (false discovery rate, <20%), of which 1 SNP in the PVT1 oncogene attained the Bonferroni threshold for statistical significance. A polygenic risk score (PRS) composed of these SNPs (RT-interaction-PRS) and a previously published breast cancer PRS (BC-PRS) derived in the general population were evaluated in a case-control analysis comprising the 327 chest-irradiated HL patients with breast cancer and 491 chest-irradiated HL patients without breast cancer. Patients in the highest tertile of the RT-interaction-PRS had a 1.6-fold higher breast cancer risk than those in the lowest tertile. Remarkably, we observed a fourfold increased RT-induced breast cancer risk in the highest compared with the lowest decile of the BC-PRS. On a continuous scale, breast cancer risk increased 1.4-fold per standard deviation of the BC-PRS, similar to the effect size found in the general population. This study demonstrates that genetic factors influence breast cancer risk after chest RT for HL. Given the high absolute breast cancer risk in radiation-exposed women, these results can have important implications for the management of current HL survivors and future patients.

scholarly journals Evaluating the Effect of Health Education Intervention on the Health Beliefs and Behaviors of First-Degree Female Relatives of Breast Cancer Patients

2021 ◽  
Author(s):  
Sule Olgun ◽  
Berna Dizer
Keyword(s):  
Breast Cancer ◽  
Family History ◽  
Health Education ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cancer Patients ◽  
Health Beliefs ◽  
Breast Cancer Patients ◽  
History Of ◽  
And Behaviors

Abstract Background Breast cancer risk increases by 80% in the presence of BRCA1 and BRCA2 gene mutations in the same family. In particular, a woman whose sister or mother has breast cancer has a 2- to 5-fold higher risk of developing breast cancer compared with other women. For this reason, recommendations should have been made regarding breast cancer prevention and/or early detection for women with first-degree family history of breast cancer. Aim The aim of this study was to evaluate the effect of health education, which was provided to first-degree female relatives of breast cancer patients, on their health beliefs and behaviors. Study Design and Methods The study sample included 50 women with a first-degree relative being treated for breast cancer in the chemotherapy and radiotherapy unit of a university hospital. A one-group pretest-posttest design was used. The pretest consisted of the health belief model scale and a questionnaire regarding the women’s sociodemographic information and breast cancer screening behaviors. After the pretest, the patients received health education regarding breast cancer risk factors and screening methods. The posttest was conducted 3 weeks after the education using the same assessment tools. Results After education, there were statistically significant increases in rates of practicing breast self-examination, having clinical breast examinations, and undergoing breast ultrasound/mammography compared with pretest results. Conclusions Health workers should possess knowledge and experience about breast cancer which will enable them to effectively undertake an educational role, especially for high-risk groups such as women with first-degree family history of breast cancer.

Associations between polymorphisms at microRNA-binding sites in TYMS and breast cancer risk among Chinese women

2020 ◽  
Author(s):  
Meng Wang ◽  
Jia Yao ◽  
Yi Zheng ◽  
Yuyao Yao ◽  
Shuqian Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Chinese Women ◽  
Microarray Dataset ◽  
Tumor Stage ◽  
Recessive Model ◽  
Breast Cancer Patients ◽  
Chinese Han ◽  
Expression Levels

Abstract Studies have suggested that thymidylate (TYMS) polymorphisms are associated with breast cancer. However, inconsistent results were obtained and data from Asian populations are largely lacking. In this study, the relationships between two common TYMS polymorphisms (rs2790 and rs1059394) and the breast cancer risk were evaluated. We also studied the TYMS expression between tumor and para-carcinoma tissues, and the association between TYMS levels and prognosis of breast cancer. This hospital-based study included 434 patients and 450 cancer-free individuals. Genotying was performed using Sequenom Mass-ARRAY. The microarray dataset GSE115144 was downloaded to compare the differences in TYMS expression between tumor and para-carcinoma tissues. The microarray dataset GSE20685 was used to analysis the metastasis free survival (MFS) and overall survival (OS) of patients. The rs2790 polymorphism was related to a higher risk of breast cancer (recessive model: OR=1.50, 95%CI=1.02-2.21, P=0.038) and the C allele of rs1059394 was overrepresented in patients with tumor stage III-IV (heterozygote model: OR=0.60, 95%CI=0.39-0.94, P=0.025; dominant model: OR=0.59, 95%CI=0.39-0.89, P=0.013). The tumor tissues had a higher TYMS expression levels and patients with higher TYMS expression levels had worse OS. Overall, TYMS polymorphism may increase susceptibility to breast cancer in Chinese Han women and TYMS expression levels may be a predictive factor for breast cancer patients.

scholarly journals Glutathione S-transferase M1 (GSTM1) and T1 (GSTT1) variants and breast cancer risk in Burkina Faso

2019 ◽  
Vol 10 (1) ◽  
pp. 175-183 ◽  
Author(s):  
Isabelle Touwendpoulimdé Kiendrebeogo ◽  
Abdou Azaque Zoure ◽  
Pegdwendé Abel Sorgho ◽  
Albert Théophane Yonli ◽  
Florencia Wendkuuni Djigma ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cancer Patients ◽  
Sporadic Breast Cancer ◽  
Disease Stage ◽  
Breast Cancer Patients ◽  
Glutathione S Transferase ◽  
Increased Risk ◽  
Increased Susceptibility

AbstractBackground and objectiveBreast cancer remains the most common cause of cancer mortality in women. The aim of this study was to investigate associations between genetic variability in GSTM1 and GSTT1 and susceptibility to breast cancer.MethodsGenomic DNA was extracted from blood samples for 80 cases of histologically diagnosed breast cancer and 100 control subjects. Genotyping analyses were performed by PCR-based methods. Associations between specific genotypes and the development of breast cancer were examined using logistic regression to calculate odds ratios [1] and 95% confidence intervals (95%CI).ResultsNo correlation was found between GSTM1-null and breast cancer (OR = 1.83; 95%CI 0.90-3.71; p = 0.10), while GSTT1-null (OR = 2.42; 95%CI 1.17-5.02; p= 0.01) was associated with increased breast cancer risk. The GSTM1/GSTT1 double null was not associated with an increased risk of developing breast cancer (OR = 2.52; 95%CI 0.75-8.45; p = 0.20). Furthermore, analysis found no association between GSTM1-null (OR =1.12; 95%CI 0.08-15.50; p = 1.00) or GSTT1-null (OR = 1.71; 95%CI 0.13-22.51; p = 1.00) and the disease stage of familial breast cancer patients or sporadic breast cancer patients (GSTM1 (OR = 0.40; 95%CI 0.12-1.32; p = 0.20) and GSTT1 (OR = 1.41; 95%CI 0.39-5.12; p = 0.75)). Also, body mass index (BMI) was not associated with increased or decreased breast cancer risk in either GSTM1-null (OR = 0.60; 95%CI 0.21-1.68; p = 0.44) or GSTT1-null (OR = 0.60; 95%CI 0.21-1.68; p =0.45).ConclusionOur results suggest that only GSTT1-null is associated with increased susceptibility to breast cancer development.

Abstract PD6-5: The association between radiotherapy and contralateral breast cancer risk in youngBRCA1/2-associated breast cancer patients

2020 ◽  
Author(s):  
Mark van Barele ◽  
Delal Akdeniz ◽  
Bernadette AM Heemskerk-Gerritsen ◽  
Margreet HA Baaijens ◽  
Margriet GA Sattler ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cancer Patients ◽  
Contralateral Breast Cancer ◽  
Contralateral Breast ◽  
Breast Cancer Patients
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