GSTT1 and GSTM1 polymorphisms predict treatment outcome for breast cancer: a systematic review and meta-analysis

Tumor Biology ◽  
2015 ◽  
Vol 37 (1) ◽  
pp. 151-162 ◽  
Author(s):  
Xue-Ying Hu ◽  
Xiang-Yang Huang ◽  
Jie Ma ◽  
Yang Zuo ◽  
Ning-bin Luo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Treatment Outcome ◽  
Meta Analysis

Copper Concentrations in Breast Cancer: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 27 (37) ◽  
pp. 6373-6383 ◽  
Author(s):  
Leila Jouybari ◽  
Faezeh Kiani ◽  
Farhad Islami ◽  
Akram Sanagoo ◽  
Fatemeh Sayehmiri ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Breast Tissue ◽  
Reference Lists ◽  
Meta Analysis ◽  
Cancer Risks ◽  
Hair Samples ◽  
Significant Difference ◽  
Mean Differences ◽  
Very High

: Breast cancer is the most common neoplasm, comprising 16% of all women's cancers worldwide. Research of Copper (Cu) concentrations in various body specimens have suggested an association between Cu levels and breast cancer risks. This systematic review and meta-analysis summarize the results of published studies and examine this association. We searched the databases PubMed, Scopus, Web of Science, and Google Scholar and the reference lists of relevant publications. The Standardized Mean Differences (SMDs) between Cu levels in cancer cases and controls and corresponding Confidence Intervals (CIs), as well as I2 statistics, were calculated to examine heterogeneity. Following the specimens used in the original studies, the Cu concentrations were examined in three subgroups: serum or plasma, breast tissue, and scalp hair. We identified 1711 relevant studies published from 1984 to 2017. There was no statistically significant difference between breast cancer cases and controls for Cu levels assayed in any studied specimen; the SMD (95% CI) was -0.01 (-1.06 - 1.03; P = 0.98) for blood or serum, 0.51 (-0.70 - 1.73; P = 0.41) for breast tissue, and -0.88 (-3.42 - 1.65; P = 0.50) for hair samples. However, the heterogeneity between studies was very high (P < 0.001) in all subgroups. We did not find evidence for publication bias (P = 0.91). The results of this meta-analysis do not support an association between Cu levels and breast cancer. However, due to high heterogeneity in the results of original studies, this conclusion needs to be confirmed by well-designed prospective studies.

scholarly journals Adjuvant trastuzumab regimen for HER2-positive early-stage breast cancer: a systematic review and meta-analysis

2019 ◽  
Vol 12 (8) ◽  
pp. 815-824 ◽  
Author(s):  
Anne Julienne Genuino ◽  
Usa Chaikledkaew ◽  
Due Ong The ◽  
Thanyanan Reungwetwattana ◽  
Ammarin Thakkinstian
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Early Stage ◽  
Meta Analysis ◽  
Early Stage Breast Cancer ◽  
Her2 Positive ◽  
Adjuvant Trastuzumab

Does coffee, tea and caffeine consumption reduce the risk of incident breast cancer? A systematic review and network meta-analysis

2021 ◽  
pp. 1-13
Author(s):  
Shu Wang ◽  
Xiang Li ◽  
Yue Yang ◽  
Jingping Xie ◽  
Mingyue Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Postmenopausal Women ◽  
Meta Analysis ◽  
High Dose ◽  
Dependent Manner ◽  
Tea Consumption ◽  
Case Control Studies ◽  
High Concentration ◽  
Coffee Intake

Abstract Objective: We aimed to evaluate the association between coffee and/or tea consumption and breast cancer (BC) risk among premenopausal and postmenopausal women and to conduct a network meta-analysis. Design: Systematic review and network meta-analysis. Setting: We conducted a systematic review of electronic publications in the last 30 years to identify case–control studies or prospective cohort studies that evaluated the effects of coffee and tea intake. Results: Forty-five studies that included more than 3 323 288 participants were eligible for analysis. Network meta-analysis was performed to determine the effects of coffee and/or tea consumption on reducing BC risk in a dose-dependent manner and differences in coffee/tea type, menopause status, hormone receptor and the BMI in subgroup and meta-regression analyses. According to the first pairwise meta-analysis, low-dose coffee intake and high-dose tea intake may exhibit efficacy in preventing ER(estrogen receptor)− BC, particularly in postmenopausal women. Then, we performed another pairwise and network meta-analysis and determined that the recommended daily doses were 2–3 cups/d of coffee or ≥5 cups/d of tea, which contained a high concentration of caffeine, particularly in postmenopausal women. Conclusions: Coffee and tea consumption is not associated with a reduction in the overall BC risk in postmenopausal women and is associated with a potentially lower risk of ER− BC. And the highest recommended dose is 2–3 cups of coffee/d or ≥5 cups of tea/d. They are potentially useful dietary protectants for preventing BC.

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