scholarly journals A case-control study to assess the impact of mammographic density on breast cancer risk in women aged 40-49 at intermediate familial risk

2014 ◽  
Vol 136 (10) ◽  
pp. 2378-2387 ◽  
Author(s):  
Valentina Assi ◽  
Nathalie J. Massat ◽  
Susan Thomas ◽  
James MacKay ◽  
Jane Warwick ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Mammographic Density ◽  
Case Control Study ◽  
Familial Risk ◽  
Case Control ◽  
The Impact ◽  
Control Study

The Impact of CASP8 rs10931936 and rs1045485 Polymorphisms as well as the Haplotypes on Breast Cancer Risk: A Case-Control Study

2019 ◽  
Vol 19 (5) ◽  
pp. e563-e577 ◽  
Author(s):  
Elham Vahednia ◽  
Fatemeh Homaei Shandiz ◽  
Matineh Barati Bagherabad ◽  
Atefeh Moezzi ◽  
Fahimeh Afzaljavan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Case Control Study ◽  
Case Control ◽  
The Impact ◽  
Control Study

scholarly journals A Case-Control Study to Add Volumetric or Clinical Mammographic Density into the Tyrer-Cuzick Breast Cancer Risk Model

2019 ◽  
Vol 1 (2) ◽  
pp. 99-106 ◽  
Author(s):  
Adam R Brentnall ◽  
Wendy F Cohn ◽  
William A Knaus ◽  
Martin J Yaffe ◽  
Jack Cuzick ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Mammographic Density ◽  
Case Control Study ◽  
Risk Model ◽  
Case Control ◽  
Percent Density ◽  
Control Study

Abstract Background Accurate breast cancer risk assessment for women attending routine screening is needed to guide screening and preventive interventions. We evaluated the accuracy of risk predictions from both visual and volumetric mammographic density combined with the Tyrer-Cuzick breast cancer risk model. Methods A case-control study (474 patient participants and 2243 healthy control participants) of women aged 40–79 years was performed using self-reported classical risk factors. Breast density was measured by using automated volumetric software and Breast Imaging and Reporting Data System (BI-RADS) density categories. Odds ratios (95% CI) were estimated by using logistic regression, adjusted for age, demographic factors, and 10-year risk from the Tyrer-Cuzick model, for a change from the 25th to 75th percentile of the adjusted percent density distribution in control participants (IQ-OR). Results After adjustment for classical risk factors in the Tyrer-Cuzick model, age, and body mass index (BMI), BI-RADS density had an IQ-OR of 1.55 (95% CI = 1.33 to 1.80) compared with 1.40 (95% CI = 1.21 to 1.60) for volumetric percent density. Fibroglandular volume (IQ-OR = 1.28, 95% CI = 1.12 to 1.47) was a weaker predictor than was BI-RADS density (Pdiff = 0.014) or volumetric percent density (Pdiff = 0.065). In this setting, 4.8% of women were at high risk (8% + 10-year risk), using the Tyrer-Cuzick model without density, and 7.1% (BI-RADS) compared with 6.8% (volumetric) when combined with density. Conclusion The addition of volumetric and visual mammographic density measures to classical risk factors improves risk stratification. A combined risk could be used to guide precision medicine, through risk-adapted screening and prevention strategies.

scholarly journals Case-control study of mammographic density and breast cancer risk using processed digital mammograms

2016 ◽  
Vol 18 (1) ◽  
Author(s):  
Laurel A. Habel ◽  
Jafi A. Lipson ◽  
Ninah Achacoso ◽  
Joseph H. Rothstein ◽  
Martin J. Yaffe ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Mammographic Density ◽  
Case Control Study ◽  
Case Control ◽  
Control Study

scholarly journals The impact of a panel of 18 SNPs on breast cancer risk in women attending a UK familial screening clinic: a case–control study

2016 ◽  
Vol 54 (2) ◽  
pp. 111-113 ◽  
Author(s):  
D Gareth Evans ◽  
Adam Brentnall ◽  
Helen Byers ◽  
Elaine Harkness ◽  
Paula Stavrinos ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Case Control Study ◽  
Case Control ◽  
Familial Screening ◽  
Screening Clinic ◽  
The Impact ◽  
Control Study

scholarly journals A case–control study in France showing that a pro-inflammatory diet is associated with a higher risk of breast cancer

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mariem Hajji-Louati ◽  
Emilie Cordina-Duverger ◽  
Nasser Laouali ◽  
Francesca-Romana Mancini ◽  
Pascal Guénel
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Odds Ratio ◽  
Hormone Receptors ◽  
Case Control Study ◽  
Breast Cancer Subtype ◽  
Case Control ◽  
Tumor Subtype ◽  
Control Study

AbstractDietary regimens promoting inflammatory conditions have been implicated in breast cancer development, but studies on the association between pro-inflammatory diet and breast cancer risk have reported inconsistent results. We investigated the association between the inflammatory potential of diet and breast cancer risk in a case–control study in France including 872 breast cancer cases and 966 population controls. All women completed a food frequency questionnaire that was used to compute a Dietary Inflammatory Index (DII) based on the inflammatory weight of 33 dietary components. The DII ranged from a median of − 3.22 in the lowest quartile (anti-inflammatory) to + 2.96 in the highest quartile (pro-inflammatory). The odds ratio contrasting quartile 4 to quartile 1 was 1.31 (95% CI 1.00, 1.73; p-trend = 0.02). Slightly higher odds ratios were observed in post-menopausal women, particularly those with body mass index > 25 kg/m2 (odds ratio 1.62; 95% CI 0.92, 2.83; p-trend = 0.02), and among ever smokers (odds ratio 1.71; 95% CI 1.11, 2.65; p-trend 0.01). The analyses by breast cancer subtype showed that the DII was associated with breast tumors that expressed either the estrogen (ER) or progesterone (PR) hormone receptors or the Human Epidermal Growth Factor Receptor-2 (HER2), but no association was seen for the triple negative breast tumor subtype. Our results add further evidence that a pro-inflammatory diet is associated with breast cancer risk with possible effect variation according to tumor subtype.

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