scholarly journals Prediagnostic circulating metabolites in female breast cancer cases with low and high mammographic breast density

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Benedetta Bendinelli ◽  
Alessia Vignoli ◽  
Domenico Palli ◽  
Melania Assedi ◽  
Daniela Ambrogetti ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Serum Levels ◽  
Female Breast Cancer ◽  
Mammographic Breast Density ◽  
Inverse Association ◽  
H Nmr ◽  
Tryptophan Pathway ◽  
Mammographic Examination

AbstractMammographic breast density (MBD) is a strong independent risk factor for breast cancer (BC). We designed a matched case–case study in the EPIC Florence cohort, to evaluate possible associations between the pre-diagnostic metabolomic profile and the risk of BC in high- versus low-MBD women who developed BC during the follow-up. A case–case design with 100 low-MBD (MBD ≤ 25%) and 100 high-MDB BC cases (MBD > 50%) was performed. Matching variables included age, year and type of mammographic examination. 1H NMR metabolomic spectra were available for 87 complete case–case sets. The conditional logistic analyses showed an inverse association between serum levels of alanine, leucine, tyrosine, valine, lactic acid, pyruvic acid, triglycerides lipid main fraction and 11 VLDL lipid subfractions and high-MBD cases. Acetic acid was directly associated with high-MBD cases. In models adjusted for confounding variables, tyrosine remained inversely associated with high-MBD cases while 3 VLDL subfractions of free cholesterol emerged as directly associated with high-MBD cases. A pathway analysis showed that the “phenylalanine, tyrosine and tryptophan pathway” emerged and persisted after applying the FDR procedure. The supervised OPLS-DA analysis revealed a slight but significant separation between high- and low-MBD cases. This case–case study suggested a possible role for pre-diagnostic levels of tyrosine in modulating the risk of BC in high- versus low-MBD women. Moreover, some differences emerged in the pre-diagnostic concentration of other metabolites as well in the metabolomic fingerprints among the two groups of patients.

scholarly journals Prognostic Influence of Preoperative Mammographic Breast Density in Operable Invasive Female Breast Cancer

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Ki-Tae Hwang ◽  
A. Jung Chu ◽  
Jongjin Kim ◽  
Jong Yoon Lee ◽  
Ji Hyun Chang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Female Breast Cancer ◽  
Mammographic Breast Density ◽  
Female Breast

scholarly journals Mammographic Breast Densities among 200 Nigerian Females in Sokoto, North Western Nigeria

2021 ◽  
Vol 3 (7) ◽  
pp. 01-04
Author(s):  
SULE Muhammad Baba ◽  
Shamaki Amina Muhammad ◽  
SA’IDU Sule Ahmed ◽  
SADISU Mohammed Ma’aji ◽  
YUNUSA Garba Haruna ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Screening Mammography ◽  
Mammographic Breast Density ◽  
Caffeine Consumption ◽  
Breast Examination ◽  
Increased Risk ◽  
History Of ◽  
Mammographic Examination ◽  
North Western

Background: Breast density has been reported to be an independent predictor of breast cancer risk. Women with highest mammographic breast density may have four to six fold increased risk of developing cancer. Aim and Objective: This study is aimed at evaluating the various forms of breast densities following screening and diagnostic mammographic examination. Materials and Methods: From December 2010 and November 2012, 200 females had mammographic breast examination. Seventy-seven (77) females had routine screening mammography while 123 had diagnostic mammographic examination in the department with the General Electric (GE) Alpha-RT machine with model number MGF-101(manufactured 2010). All the subjects had to fill a mammographic form consisting of variables like age, sex, occupation, family history of breast cancer, tribe, contraception, parity, and caffeine consumption, history of surgical intervention (lumpectomy, biopsy and/or mastectomy), previous mammography and last child birth. MLO and CC views were done for the breast examination though additional views were occasionally employed. Results: Breast density decreases with increase in age of the female subjects and breast lesions are better detected following mammography on fatty or less dense breast.

Evaluation of the association of endometriosis and mammographic breast density, a cross-sectional study

2021 ◽  
Author(s):  
Ashraf Moini ◽  
Elnaz Salari ◽  
Hadi Rashidi ◽  
Khadije Maajani ◽  
Mahboubeh Abedi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Cross Sectional Study ◽  
Influential Factors ◽  
Mammographic Breast Density ◽  
P Value ◽  
Inverse Association ◽  
Sectional Study ◽  
Cross Sectional ◽  
History Of

Abstract Background Endometriosis is a common benign but painful gynecologic condition. Studies suggest that the risk of some types of malignancies such as breast cancer is higher in women with endometriosis. Mammographic breast density (MBD) is known as an important predictor for breast cancer. The present study aimed to investigate the potential relationship between endometriosis and MBD. Methods This cross-sectional study was conducted on 370 women over 40 years of age. Laparoscopic surgery was carried out for the diagnosis of endometriosis. MBD was classified into four categories according to the ACR BI-RADS classification. Statistical analysis was performed using SPSS software to evaluate the potential association between variables. Results The mean age of all participants was 47.2±6.4 years, and most participants (76.8 %) were premenopausal. Multivariate analysis of the potential predictors of MBD, including age, body mass index, oral contraceptive consumption, progesterone consumption, family history of breast cancer and endometriosis showed that age (P-value=0.002), history of progesterone consumption (P-value=0.004) and endometriosis (P-value=0.006) were the independent factors for MBD. Conclusion This study indicated that endometriosis had an inverse association with MBD. Age and history of progesterone use were also independent influential factors for MBD. This finding shows that the positive association between breast cancer and endometriosis is not mediated through MBD.

scholarly journals Relationship of mammographic densities to breast cancer risk

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Engy A. Ali ◽  
Mariam Raafat
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Statistical Significance ◽  
Significant Risk ◽  
Close Relation ◽  
Mammographic Screening ◽  
Mammographic Breast Density ◽  
Study Results ◽  
Relationship Of ◽  
Mammographic Densities

Abstract Background Our goal was to find out the relation between mammographic densities and cancer of the breast according to the recent ACR classification. From the medical records of Kasereliny Hospital, 49,409 women were subjected to digital mammography for screening, of which 1500 breast cancer cases were collected. The mammographic categories of breast density were ACR-A, B, C, and D, which were detected by two senior radiologists. All radiological classifications were made using both standard mammographic views bilaterally. Two-sided tests of statistical significance were represented by all the P values. Results From 2014 to 2019, 49,409 women came for digital mammographic screening, their age ranges between 40 and 65, and all of them are included in the study. One thousand cases of breast cancer cases were radiologically and pathologically diagnosed. Different densities were arranged in descending pattern depending on the frequency of positive cases: D (13.7%), C (3.3%), B (2.7%), A (2.2%). There is positive significant risk ratio among every higher mammographic density in comparison to the lower density. Conclusion Our study results show that the risk of breast cancer is in close relation to the mammographic breast density.

scholarly journals Tumour Size at Detection According to Different Measures of Mammographic Breast Density

2009 ◽  
Vol 16 (3) ◽  
pp. 140-146 ◽  
Author(s):  
Carolyn Nickson ◽  
Anne M Kavanagh
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Tumour Size ◽  
Mammographic Screening ◽  
Cancer Prognosis ◽  
Mammographic Breast Density ◽  
Interval Cancers ◽  
Dense Area ◽  
Screening Strategies ◽  
Continuous Measures

Objectives Breast cancer prognosis is better for smaller tumours. Women with high breast density are at higher risk of breast cancer and have larger screen-detected and interval cancers in mammographic screening programmes. We assess which continuous measures of breast density are the strongest predictors of breast tumour size at detection and therefore the best measures to identify women who might benefit from more intensive mammographic screening or alternative screening strategies. Setting and methods We compared the association between breast density and tumour size for 1007 screen-detected and 341 interval cancers diagnosed in an Australian mammographic screening programme between 1994 and 1996, for three semi-automated continuous measures of breast density: per cent density, dense area and dense area adjusted for non-dense area. Results After adjustment for age, hormone therapy use, family history of breast cancer and mode of detection (screen-detected or interval cancers), all measures of breast density shared a similar positive and significant association with tumour size. For example, tumours increased in size with dense area from an estimated mean 2.2 mm larger in the second quintile (β = 2.2; 95% Cl 0.4–3.9, P < 0.001) to mean 6.6 mm larger in the highest decile of dense area (β = 6.6; 95% Cl 4.4–8.9, P < 0.001), when compared with first quintile of breast density. Conclusions Of the breast density measures assessed, either dense area or per cent density are suitable measures for identifying women who might benefit from more intensive mammographic screening or alternative screening strategies.

Mammographic Breast Density: Effect on Imaging and Breast Cancer Risk

2010 ◽  
Vol 8 (10) ◽  
pp. 1157-1165 ◽  
Author(s):  
Renee W. Pinsky ◽  
Mark A. Helvie
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Menopausal Status ◽  
Masking Effect ◽  
Mammographic Breast Density ◽  
Ultrasound Screening ◽  
High Risk Women ◽  
Dense Breasts ◽  
Reduction Strategies ◽  
Risk Reduction Strategies

Mammographic breast density has been studied for more than 30 years. Greater breast density not only is related to decreased sensitivity of mammograms because of a masking effect but also is a major independent risk factor for breast cancer. This article defines breast density and reviews literature on quantification of mammographic density that is key to future clinical and research protocols. Important influences on breast density are addressed, including age, menopausal status, exogenous hormones, and genetics of density. Young women with dense breasts benefit from digital mammographic technique. The potential use of supplemental MRI and ultrasound screening techniques in high-risk women and women with dense breasts is explored, as are potential risk reduction strategies.

Mammographic breast density, its changes, and breast cancer risk in premenopausal and postmenopausal women

Cancer ◽  
2020 ◽  
Vol 126 (21) ◽  
pp. 4687-4696
Author(s):  
Eun Young Kim ◽  
Yoosoo Chang ◽  
Jiin Ahn ◽  
Ji‐Sup Yun ◽  
Yong Lai Park ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Postmenopausal Women ◽  
Breast Density ◽  
Mammographic Breast Density
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