scholarly journals Risk factors of breast cancer in a sample of Kurdish women of Kurdistan region - Iraq: A comparative study between pre-menopausal and post-menopausal women

2012 ◽  
Vol 16 (3) ◽  
pp. 262-267 ◽  
Author(s):  
Abdulqadir Zangana ◽  
Sherwan Garota
2016 ◽  
Vol 27 ◽  
pp. ix24
Author(s):  
N.A. Jadoon ◽  
M. Hussain ◽  
F.U. Sulehri ◽  
A. Zafar ◽  
A. Ijaz

2016 ◽  
Vol 27 (suppl_9) ◽  
Author(s):  
N.A. Jadoon ◽  
M. Hussain ◽  
F.U. Sulehri ◽  
A. Zafar ◽  
A. Ijaz

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tomi Akinyemiju ◽  
Kelley Jones ◽  
Anjali Gupta ◽  
Taofik Oyekunle ◽  
Veeral Saraiya ◽  
...  

Abstract Background The association between obesity and breast cancer (BC) has been extensively studied among US, European and Asian study populations, with often conflicting evidence. However, despite the increasing prevalence of obesity and associated conditions in Africa, the continent with the highest age-standardized BC mortality rate globally, few studies have evaluated this association, and none has examined in relation to molecular subtypes among African women. The current analysis examines the association between body composition, defined by body mass index (BMI), height, and weight, and BC by molecular subtype among African women. Methods We estimated odds ratios (ORs) and 95% confidence intervals (95% CI) for the association between measures of body composition and BC and molecular subtypes among 419 histologically confirmed cases of BC and 286 healthy controls from the Mechanisms for Established and Novel Risk Factors for Breast Cancer in Women of Nigerian Descent (MEND) case-control study. Results Higher BMI (aOR: 0.79; 95% CI: 0.67, 0.95) and weight (aOR: 0.83; 95% CI: 0.69, 0.98) were associated with reduced odds of BC in adjusted models, while height was associated with non-statistically significant increased odds of BC (aOR: 1.07, 95% CI: 0.90, 1.28). In pre/peri-menopausal, but not post-menopausal women, both higher BMI and weight were significantly associated with reduced odds of BC. Further, higher BMI was associated with reduced odds of Luminal A, Luminal B, and HER2-enriched BC among pre/peri-menopausal women, and reduced odds of triple-negative BC among post-menopausal women. Conclusions Higher BMI and weight were associated with reduced odds of BC overall and by molecular subtype among West African women. Larger studies of women of African descent are needed to definitively characterize these associations and inform cancer prevention strategies.


2012 ◽  
Vol 15 (2) ◽  
pp. 246-255 ◽  
Author(s):  
Ernestina Silva de Aguiar ◽  
Juliana Giacomazzi ◽  
Aishameriane Venes Schmidt ◽  
Hugo Bock ◽  
Maria Luiza Saraiva-Pereira ◽  
...  

Genetic polymorphisms in genes related to the metabolism of xenobiotics, such as genes of the glutathione S-transferases (GSTM1, GSTT1, and GSTP1) superfamily have been associated with an increased risk for breast cancer (BC). Considering the high incidence of BC in the city of Porto Alegre in southern Brazil, the purpose of this study was to characterize genotypic and allelic frequencies of polymorphisms in GSTM1, GSTT1, and GSTP1, and correlate these molecular findings with established risk factors for breast cancer including mammographic density, in a sample of 750 asymptomatic women undergoing mammographic screening. Molecular tests were performed using the multiplex polymerase chain reaction (PCR) for GSTM1 and GSTT1, and quantitative PCR for GSTP1 polymorphisms. Overall, the frequencies of GSTM1 and GSTT1 null genotypes were 45% and 21%, respectively. For GSTP1 polymorphism, genotypic frequencies were 44% for the Ile/Ile genotype, 44% for the Ile/Val genotype, and 12% for Val/Val genotype, with an allelic frequency of 66% for the wild type allele in this population, similar to results of previous international publications. There was a statistically significant association between the combined GSTM1 and GSTT1 null genotypes (M-/T-) and mammographic density in post menopausal women (p = 0.031). When the GSTT1 null (T-) genotype was analyzed isolated, the association with mammographic density in post menopausal women and in the overall sample was also statistically significant (p = 0.023 and p = 0.027, respectively). These findings suggest an association of GSTM1 and GSTT1 null genotypes with mammographic density.


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