scholarly journals The INSIG2 rs7566605 polymorphism is not associated with body mass index and breast cancer risk

BMC Cancer ◽  
2010 ◽  
Vol 10 (1) ◽  
Author(s):  
Daniele Campa ◽  
Anika Hüsing ◽  
James D McKay ◽  
Olga Sinilnikova ◽  
Ulla Vogel ◽  
...  
2014 ◽  
Vol 25 (2) ◽  
pp. 519-524 ◽  
Author(s):  
K. Wada ◽  
C. Nagata ◽  
A. Tamakoshi ◽  
K. Matsuo ◽  
I. Oze ◽  
...  

2018 ◽  
Vol 111 (4) ◽  
pp. 350-364 ◽  
Author(s):  
Frank Qian ◽  
Shengfeng Wang ◽  
Jonathan Mitchell ◽  
Lesley McGuffog ◽  
Daniel Barrowdale ◽  
...  

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Sherko Abdullah Molah Karim ◽  
Hawar Hasan Ali Ghalib ◽  
Fattah Hama Rahim Fattah ◽  
Mohammed Ibrahim Mohialdeen Gubari ◽  
Aween Baiz Majeed

2019 ◽  
Vol 21 (1) ◽  
Author(s):  
Yiwey Shieh ◽  
Christopher G. Scott ◽  
Matthew R. Jensen ◽  
Aaron D. Norman ◽  
Kimberly A. Bertrand ◽  
...  

2017 ◽  
Vol 168 (1) ◽  
pp. 241-248 ◽  
Author(s):  
Arielle S. Gillman ◽  
Casey K. Gardiner ◽  
Claire E. Koljack ◽  
Angela D. Bryan

2016 ◽  
Vol 156 (1) ◽  
pp. 163-170 ◽  
Author(s):  
John L. Hopper ◽  
Tuong L. Nguyen ◽  
Jennifer Stone ◽  
Kelly Aujard ◽  
Melanie C. Matheson ◽  
...  

2014 ◽  
Vol 99 (2) ◽  
pp. 625-632 ◽  
Author(s):  
Adana A. Llanos ◽  
Juan Peng ◽  
Michael L. Pennell ◽  
Jessica L. Krok ◽  
Mara Z. Vitolins ◽  
...  

Context: Breast cancer risk among postmenopausal women increases as body mass index increases. Practical preventive methods to reduce risk of breast cancer are lacking. Few studies have investigated the effects of carotenoids and isoflavones on circulating adipokines in postmenopausal women. Objective: The aim was to examine the effects of lycopene- and isoflavone-rich diets on serum adipokines. Design: This was a 26-week, two-arm, longitudinal crossover trial. Setting: Participants were recruited from clinics at The Ohio State University Comprehensive Cancer Center. Participants: Seventy postmenopausal women at increased breast cancer risk participated in the study. The mean age and body mass index of participants was 57.2 years and 30.0 kg/m2, respectively; the study was comprised of 81.4% whites. Interventions: The interventions included 10 weeks of consumption of a tomato-based diet (≥25 mg lycopene daily) and 10 weeks of consumption of a soy-based diet (≥40 g of soy protein daily), with a 2-week washout in between. Main Outcome Measures: Changes in serum adiponectin, leptin, and the adiponectin to leptin ratio were examined for each intervention through linear mixed models, with ratio estimates corresponding to postintervention adipokine concentrations relative to preintervention concentrations. Results: After the tomato intervention, among all women, adiponectin concentration increased (ratio 1.09, 95% confidence interval (CI) 1.00–1.18), with a stronger effect observed among nonobese women (ratio 1.13, 95% CI 1.02–1.25). After the soy intervention, adiponectin decreased overall (ratio 0.91, 95% CI 0.84–0.97), with a larger reduction observed among nonobese women (ratio 0.89, 95% CI 0.81–0.98). Overall, no significant changes in leptin or the adiponectin to leptin ratio were observed after either intervention. Conclusions: Increasing dietary consumption of tomato-based foods may beneficially increase serum adiponectin concentrations among postmenopausal women at increased breast cancer risk, especially those who are not obese. Additional studies are essential to confirm these effects and to elucidate the specific mechanisms that may make phytonutrients found in tomatoes practical as breast cancer chemopreventive agents.


2010 ◽  
Vol 28 (4) ◽  
pp. 1296-1301 ◽  
Author(s):  
K. O. Hajian-Tilaki ◽  
A. R. Gholizadehpasha ◽  
S. Bozorgzadeh ◽  
E. Hajian-Tilaki

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Zhoufeng Ye ◽  
Gillian Dite ◽  
John Hopper

Abstract Background Our previous work on body mass index (BMI) and breast cancer risk found that the association depended on menopausal status but not on familial risk (Hopper, JL., et al, 2018). We now consider whether weight is a more informative risk factor for breast cancer than BMI. Methods We used data from the Prospective Family Study Cohort, a consortium of international prospective cohorts that are enriched for familial risk of breast cancer and include 16,035 unaffected women from 6701 families. Participants were followed for up to 20 years (mean 10.5 years) and there were 896 incident breast cancers with a mean age at diagnosis of 55.7 years. Cox regression was used to model risk associations as a function of age, menopausal status and underlying familial risk. We calculated robust confidence intervals by clustering by family. Model comparisons were made using the Bayesian Information Criterion (BIC). Results In repeating the best-fitting model from our original analyses, but using weight instead of BMI, we found that the log likelihood for the model using weight was 1.92 units greater than for the model using BMI (difference in BIC = 3.84). Therefore, the data are almost 50 times more likely under the model using weight. Conclusions The study found positive evidence that weight gives more information on risk than does BMI. Key messages Analysing breast cancer risk in terms of weight, rather than only BMI, might give greater insight and results that are easier to convey to the public.


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