Alcohol Consumption by Beverage Type and Risk of Breast Cancer: A Dose-Response Meta-Analysis of Prospective Cohort Studies

2020 ◽  
Vol 55 (3) ◽  
pp. 246-253 ◽  
Author(s):  
Qiuyu Sun ◽  
Weihong Xie ◽  
Yanli Wang ◽  
Feifei Chong ◽  
Mengmeng Song ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Postmenopausal Women ◽  
Dose Response ◽  
Alcohol Intake ◽  
Meta Analysis ◽  
Response Analysis ◽  
Total Alcohol

Abstract Aims Alcohol intake has been shown to increase the risk of breast cancer. However, the dose-response analysis of different alcoholic beverages (spirits, wine and beer) is not clear. Our meta-analysis aims to provide a dose-response estimation between different alcohols and breast cancer risk. Methods Search of PubMed and Web of Science and manual searches were conducted up to 1 December 2018, and summary relative risks (RRs) and attributable risk percentage (ARP) for alcohol intake on the development of breast cancer were calculated. Dose-response meta-analysis modeled relationships between drinking type and breast cancer risk. Sources of heterogeneity were explored, and sensitivity analyses were conducted to test the robustness of findings. Results In total, 22 cohort studies and 45,350 breast cancer cases were included. Current drinkers for ER+ had an increased risk compared with never drinkers. In dose-response analysis, there was a statistically significant linear trend with breast cancer risk increasing gradually by total alcohol and wine dose: when adding 10 g per day, the risk increased by 10.5% (RR = 1.10, 95%CI = 1.08–1.13) in total alcohol and 8.9% (RR = 1.08, 95%CI = 1.04–1.14) in wine. For postmenopausal women, the risk increases by 11.1% (RR = 1.11, 95%CI = 1.09–1.13) with every 10 g of total alcohol increase. Furthermore, the breast cancer alcohol-attributed percentage is higher in Europe than in North America and Asia. Conclusions The effect of drinking on the incidence of breast cancer is mainly manifested in ER+ breast cancer. Quantitative analysis showed total drinking had a significant risk for breast cancer, especially for postmenopausal women. However, for different alcohols, just wine intake has the similar results.

scholarly journals Calcium intake and breast cancer risk: meta-analysis of prospective cohort studies

2016 ◽  
Vol 116 (1) ◽  
pp. 158-166 ◽  
Author(s):  
Khemayanto Hidayat ◽  
Guo-Chong Chen ◽  
Ru Zhang ◽  
Xuan Du ◽  
Sheng-Yi Zou ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Dose Response ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Postmenopausal Breast Cancer ◽  
Inverse Association ◽  
Prospective Cohort Studies

AbstractFindings from observational studies have suggested a possible relation between Ca and breast cancer risk. However, the results of these studies are inconclusive, and the dose–response relationship between Ca intake and risk of breast cancer remains to be determined. A meta-analysis of prospective studies was conducted to address these issues. PubMed and Embase databases were searched for relevant studies concerning the association between Ca intake and breast cancer up to March 2016. The summary relative risks (RR) with 95 % CI were calculated with a random-effects model. The final analysis included eleven prospective cohort studies involving 26 606 cases and 872 895 participants. The overall RR of breast cancer for high v. low intake of Ca was 0·92 (95 % CI 0·85, 0·99), with moderate heterogeneity (P=0·026, I2=44·2 %). In the subgroup analysis, the inverse association appeared stronger for premenopausal breast cancer (RR 0·75; 95 % CI 0·59, 0·96) than for postmenopausal breast cancer (RR 0·94; 95 % CI 0·87, 1·01). Dose–response analysis revealed that each 300 mg/d increase in Ca intake was associated with 2 % (RR 0·98; 95 % CI 0·96, 0·99), 8 % (RR 0·92; 95 % CI 0·87, 0·98) and 2 % (RR 0·98; 95 % CI 0·97, 0·99) reduction in the risk of total, premenopausal and postmenopausal breast cancer, respectively. Our findings suggest an inverse dose–response association between Ca intake and risk of breast cancer.

scholarly journals Artificial light at night and breast cancer risk: A systematic review and dose-response meta-analysis

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Teresa Urbano ◽  
Marco Vinceti ◽  
Lauren Anne Wise ◽  
Tommaso Filippini
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Dose Response ◽  
Meta Analysis ◽  
Artificial Light ◽  
Light At Night

The association between blood lipid and breast cancer risk: Evidence based on a dose-response meta-analysis comprising 900,669 participants.

2018 ◽  
Vol 36 (15_suppl) ◽  
pp. e24331-e24331
Author(s):  
Kang Liu ◽  
Dingli Song ◽  
Shuai Lin ◽  
Meng Wang ◽  
Tian Tian ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Dose Response ◽  
Meta Analysis ◽  
Blood Lipid ◽  
Evidence Based

scholarly journals Blood DNA methylation and breast cancer risk: a meta-analysis of four prospective cohort studies

2019 ◽  
Vol 21 (1) ◽  
Author(s):  
Clara Bodelon ◽  
Srikant Ambatipudi ◽  
Pierre-Antoine Dugué ◽  
Annelie Johansson ◽  
Joshua N. Sampson ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Dna Methylation ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Blood Collection ◽  
Prospective Cohort Studies ◽  
Average Methylation

Abstract Background Environmental and genetic factors play an important role in the etiology of breast cancer. Several small blood-based DNA methylation studies have reported risk associations with methylation at individual CpGs and average methylation levels; however, these findings require validation in larger prospective cohort studies. To investigate the role of blood DNA methylation on breast cancer risk, we conducted a meta-analysis of four prospective cohort studies, including a total of 1663 incident cases and 1885 controls, the largest study of blood DNA methylation and breast cancer risk to date. Methods We assessed associations with methylation at 365,145 CpGs present in the HumanMethylation450 (HM450K) Beadchip, after excluding CpGs that did not pass quality controls in all studies. Each of the four cohorts estimated odds ratios (ORs) and 95% confidence intervals (CI) for the association between each individual CpG and breast cancer risk. In addition, each study assessed the association between average methylation measures and breast cancer risk, adjusted and unadjusted for cell-type composition. Study-specific ORs were combined using fixed-effect meta-analysis with inverse variance weights. Stratified analyses were conducted by age at diagnosis (< 50, ≥ 50), estrogen receptor (ER) status (+/−), and time since blood collection (< 5, 5–10, > 10 years). The false discovery rate (q value) was used to account for multiple testing. Results The average age at blood draw ranged from 52.2 to 62.2 years across the four cohorts. Median follow-up time ranged from 6.6 to 8.4 years. The methylation measured at individual CpGs was not associated with breast cancer risk (q value > 0.59). In addition, higher average methylation level was not associated with risk of breast cancer (OR = 0.94, 95% CI = 0.85, 1.05; P = 0.26; P for study heterogeneity = 0.86). We found no evidence of modification of this association by age at diagnosis (P = 0.17), ER status (P = 0.88), time since blood collection (P = 0.98), or CpG location (P = 0.98). Conclusions Our data indicate that DNA methylation measured in the blood prior to breast cancer diagnosis in predominantly postmenopausal women is unlikely to be associated with substantial breast cancer risk on the HM450K array. Larger studies or with greater methylation coverage are needed to determine if associations exist between blood DNA methylation and breast cancer risk.

A dose-response meta-analysis of green tea consumption and breast cancer risk

2020 ◽  
Vol 71 (6) ◽  
pp. 656-667 ◽  
Author(s):  
Yanli Wang ◽  
Yanyan Zhao ◽  
Feifei Chong ◽  
Mengmeng Song ◽  
Qiuyu Sun ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Green Tea ◽  
Dose Response ◽  
Meta Analysis ◽  
Tea Consumption

scholarly journals Alcohol intake and colorectal cancer risk: A dose–response meta-analysis of published cohort studies

2006 ◽  
Vol 120 (3) ◽  
pp. 664-671 ◽  
Author(s):  
Aurélie Moskal ◽  
Teresa Norat ◽  
Pietro Ferrari ◽  
Elio Riboli
Keyword(s):  
Colorectal Cancer ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Dose Response ◽  
Alcohol Intake ◽  
Meta Analysis ◽  
Colorectal Cancer Risk

scholarly journals Body mass index and cancer risk in patients with type 2 diabetes: a dose–response meta-analysis of cohort studies

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sepideh Soltani ◽  
Shima Abdollahi ◽  
Dagfinn Aune ◽  
Ahmad Jayedi
Keyword(s):  
Breast Cancer ◽  
Type 2 Diabetes ◽  
Body Mass Index ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Body Mass ◽  
Dose Response ◽  
Meta Analysis ◽  
Total Cancer

AbstractAlthough obesity has been associated with an increased cancer risk in the general population, the association in patients with type 2 diabetes (T2D) remains controversial. We conducted a dose–response meta-analysis of cohort studies of body mass index (BMI) and the risk of total and site-specific cancers in patients with T2D. A systematic literature search was conducted in PubMed, Scopus, and Medline until September 2020 for cohort studies on the association between BMI and cancer risk in patients with T2D. Summary relative risks (RRs) and 95% confidence intervals (CIs) were calculated using random effects models. Ten prospective and three retrospective cohort studies (3,345,031 participants and 37,412 cases) were included in the meta-analysis. Each 5-unit increase in BMI (kg/m2) was associated with a 6% higher risk of total cancer (RR: 1.06, 95% CI 1.01, 1.10; I2 = 55.4%, n = 6), and with a 12% increased risk in the analysis of breast cancer (RR: 1.12, 95% CI 1.05, 1.20; I2 = 0%, n = 3). The pooled RRs showed no association with prostate cancer (RR: 1.02, 95% CI 0.92, 1.13; I2 = 64.6%, n = 4), pancreatic cancer (RR: 0.97, 95% CI 0.84, 1.11; I2 = 71%, n = 3), and colorectal cancer (RR: 1.05, 95% CI 0.98, 1.13; I2 = 65.9%, n = 2). There was no indication of nonlinearity for total cancer (Pnon-linearity = 0.99), however, there was evidence of a nonlinear association between BMI and breast cancer (Pnon-linearity = 0.004) with steeper increases in risk from a BMI around 35 and above respectively. Higher BMI was associated with a higher risk of total, and breast cancer but not with risk of other cancers, in patients with T2D, however, further studies are needed before firm conclusions can be drawn.

scholarly journals Mammographic Density Changes over Time and Breast Cancer Risk: A Systematic Review and Meta-Analysis

Cancers ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 4805
Author(s):  
Arezo Mokhtary ◽  
Andreas Karakatsanis ◽  
Antonis Valachis
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Mammographic Density ◽  
Breast Density ◽  
Meta Analysis ◽  
Increased Risk ◽  
Changes Over Time ◽  
Over Time

The aim of this meta-analysis was to evaluate the association between mammographic density changes over time and the risk of breast cancer. We performed a systematic literature review based on the PubMed and ISI Web of Knowledge databases. A meta-analysis was conducted by computing extracted hazard ratios (HRs) and 95% confidence intervals (CIs) for cohort studies or odds ratios (ORs) and 95% confidence interval using inverse variance method. Of the nine studies included, five were cohort studies that used HR as a measurement type for their statistical analysis and four were case–control or cohort studies that used OR as a measurement type. Increased breast density over time in cohort studies was associated with higher breast cancer risk (HR: 1.61; 95% CI: 1.33–1.96) whereas decreased breast density over time was associated with lower breast cancer risk (HR: 0.78; 95% CI: 0.71–0.87). Similarly, increased breast density over time was associated with higher breast cancer risk in studies presented ORs (pooled OR: 1.85; 95% CI: 1.29–2.65). Our findings imply that an increase in breast density over time seems to be linked to an increased risk of breast cancer, whereas a decrease in breast density over time seems to be linked to a lower risk of breast cancer.

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