scholarly journals A Metabolomics Analysis of Postmenopausal Breast Cancer Risk in the Cancer Prevention Study II

Metabolites ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 95
Author(s):  
Steven C. Moore ◽  
Kaitlyn M. Mazzilli ◽  
Joshua N. Sampson ◽  
Charles E. Matthews ◽  
Brian D. Carter ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Conditional Logistic Regression ◽  
Postmenopausal Breast Cancer ◽  
Sex Steroid ◽  
Birth Date ◽  
Blood Draw ◽  
Metabolomics Analysis

Breast cancer is the most common cancer in women, but its incidence can only be partially explained through established risk factors. Our aim was to use metabolomics to identify novel risk factors for breast cancer and to validate recently reported metabolite-breast cancer findings. We measured levels of 1275 metabolites in prediagnostic serum in a nested case-control study of 782 postmenopausal breast cancer cases and 782 matched controls. Metabolomics analysis was performed by Metabolon Inc using ultra-performance liquid chromatography and a Q-Exactive high resolution/accurate mass spectrometer. Controls were matched by birth date, date of blood draw, and race/ethnicity. Odds ratios (ORs) and 95% confidence intervals (CIs) of breast cancer at the 90th versus 10th percentile (modeled on a continuous basis) of metabolite levels were estimated using conditional logistic regression, with adjustment for age. Twenty-four metabolites were significantly associated with breast cancer risk at a false discovery rate <0.20. For the nine metabolites positively associated with risk, the ORs ranged from 1.75 (95% CI: 1.29–2.36) to 1.45 (95% CI: 1.13–1.85), and for the 15 metabolites inversely associated with risk, ORs ranged from 0.59 (95% CI: 0.43–0.79) to 0.69 (95% CI: 0.55–0.87). These metabolites largely comprised carnitines, glycerolipids, and sex steroid metabolites. Associations for three sex steroid metabolites validated findings from recent studies and the remainder were novel. These findings contribute to growing data on metabolite-breast cancer associations by confirming prior findings and identifying novel leads for future validation efforts.

scholarly journals Branched chain amino acids and risk of breast cancer

2020 ◽  
Author(s):  
Oana A Zeleznik ◽  
Raji Balasubramanian ◽  
Yumeng Ren ◽  
Deirdre K Tobias ◽  
Bernard Rosner ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Postmenopausal Women ◽  
Menopausal Status ◽  
External Validation ◽  
Postmenopausal Breast Cancer ◽  
Health Study ◽  
Blood Draw ◽  
Branched Chain

Circulating branched chain amino acid (BCAA) levels reflect metabolic health and dietary intake. However, associations with breast cancer are unclear. We evaluated circulating BCAA levels and breast cancer risk within the Nurses' Health Study (NHS) and NHSII (1,997 cases, 1,997 matched controls). 592 NHS women donated two blood samples 10 years apart. We estimate odds ratios (OR) and 95% confidence intervals (CI) of breast cancer risk in multivariable logistic regression models. We conducted an external validation with secondary analyses in the Women's Health Study (WHS; 1,297 cases). Among NHSII participants (predominantly premenopausal at blood collection), elevated circulating BCAA levels were associated with lower breast cancer risk (e.g., isoleucine highest vs. lowest quartile, multivariable OR(95% CI)=0.86(0.65-1.13), p-trend=0.20), with significant linear trends among fasting samples (e.g., isoleucine OR(95% CI)=0.74(0.53-1.05), p-trend=0.05). In contrast, among postmenopausal women, proximate measures (<10y from blood draw) were associated with increased breast cancer risk (e.g., isoleucine OR(95% CI)=1.63(1.12-2.39), p-trend=0.01), with stronger associations among fasting samples (OR(95% CI)=1.73(1.15-2.61), p-trend=0.01). Distant measures (10-20y since blood draw) were not associated with risk. In the WHS, a positive association was observed for distant measures of leucine among postmenopausal women: OR(95% CI)=1.31(0.97-1.75), p-trend=0.05. Although elevated circulating BCAA levels were associated with lower breast cancer risk among premenopausal NHSII women and higher risk of postmenopausal breast cancer in NHS (<10y from blood draw), independent of established risk factors, including adiposity, results were not validated in WHS. Additional studies are needed to understand the complex relationship between BCAAs, menopausal status, and risk of breast cancer.

scholarly journals Population Attributable Risk of Modifiable and Nonmodifiable Breast Cancer Risk Factors in Postmenopausal Breast Cancer

2016 ◽  
Vol 184 (12) ◽  
pp. 884-893 ◽  
Author(s):  
Rulla M. Tamimi ◽  
Donna Spiegelman ◽  
Stephanie A. Smith-Warner ◽  
Molin Wang ◽  
Mathew Pazaris ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Population Attributable Risk ◽  
Postmenopausal Breast Cancer ◽  
Attributable Risk ◽  
Cancer Risk Factors ◽  
Breast Cancer Risk Factors

scholarly journals Circulating amino acids and amino acid-related metabolites and risk of breast cancer among predominantly premenopausal women

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Oana A. Zeleznik ◽  
Raji Balasubramanian ◽  
Yibai Zhao ◽  
Lisa Frueh ◽  
Sarah Jeanfavre ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Amino Acids ◽  
Amino Acid ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Kynurenic Acid ◽  
Conditional Logistic Regression ◽  
Premenopausal Women ◽  
Health Study

AbstractKnown modifiable risk factors account for a small fraction of premenopausal breast cancers. We investigated associations between pre-diagnostic circulating amino acid and amino acid-related metabolites (N = 207) and risk of breast cancer among predominantly premenopausal women of the Nurses’ Health Study II using conditional logistic regression (1057 cases, 1057 controls) and multivariable analyses evaluating all metabolites jointly. Eleven metabolites were associated with breast cancer risk (q-value < 0.2). Seven metabolites remained associated after adjustment for established risk factors (p-value < 0.05) and were selected by at least one multivariable modeling approach: higher levels of 2-aminohippuric acid, kynurenic acid, piperine (all three with q-value < 0.2), DMGV and phenylacetylglutamine were associated with lower breast cancer risk (e.g., piperine: ORadjusted (95%CI) = 0.84 (0.77–0.92)) while higher levels of creatine and C40:7 phosphatidylethanolamine (PE) plasmalogen were associated with increased breast cancer risk (e.g., C40:7 PE plasmalogen: ORadjusted (95%CI) = 1.11 (1.01–1.22)). Five amino acids and amino acid-related metabolites (2-aminohippuric acid, DMGV, kynurenic acid, phenylacetylglutamine, and piperine) were inversely associated, while one amino acid and a phospholipid (creatine and C40:7 PE plasmalogen) were positively associated with breast cancer risk among predominately premenopausal women, independent of established breast cancer risk factors.

scholarly journals Urinary Phthalate Biomarker Concentrations and Postmenopausal Breast Cancer Risk

2019 ◽  
Vol 111 (10) ◽  
pp. 1059-1067 ◽  
Author(s):  
Katherine W Reeves ◽  
Mary Díaz Santana ◽  
JoAnn E Manson ◽  
Susan E Hankinson ◽  
R Thomas Zoeller ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Conditional Logistic Regression ◽  
Postmenopausal Breast Cancer ◽  
Consumer Products ◽  
Control Subjects ◽  
Increased Risk ◽  
Nested Case Control

Abstract Background Growing laboratory and animal model evidence supports the potentially carcinogenic effects of some phthalates, chemicals used as plasticizers in a wide variety of consumer products, including cosmetics, medications, and vinyl flooring. However, prospective data on whether phthalates are associated with human breast cancer risk are lacking. Methods We conducted a nested case-control study within the Women’s Health Initiative (WHI) prospective cohort (n = 419 invasive case subjects and 838 control subjects). Control subjects were matched 2:1 to case subjects on age, enrollment date, follow-up time, and WHI study group. We quantified 13 phthalate metabolites and creatinine in two or three urine samples per participant over one to three years. Multivariable conditional logistic regression analysis was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for breast cancer risk associated with each phthalate biomarker up to 19 years of follow-up. Results Overall, we did not observe statistically significant positive associations between phthalate biomarkers and breast cancer risk in multivariable analyses (eg, 4th vs 1st quartile of diethylhexyl phthalate, OR = 1.03, 95% CI = 0.91 to 1.17). Results were generally similar in analyses restricted to disease subtypes, to nonusers of postmenopausal hormone therapy, stratified by body mass index, or to case subjects diagnosed within three, five, or ten years. Conclusions In the first prospective analysis of phthalates and postmenopausal breast cancer, phthalate biomarker concentrations did not result in an increased risk of developing invasive breast cancer.

Demographic variation and risk factors regarding breast cancer among female in Southern Punjab, Pakistan

2021 ◽  
pp. 1-16
Author(s):  
Waheed Ahmad ◽  
Sabika Firasat ◽  
Muhammad Sohail Akhtar ◽  
Kiran Afshan ◽  
Kaukab Jabeen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Logistic Regression ◽  
Family History ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Conditional Logistic Regression ◽  
Positive Family History ◽  
Study Cohort ◽  
Screening Programs

Objective: Breast cancer is a second major cause of female death worldwide. This study aimed to explore epidemiology, clinical profiles and contribution of reproductive and non-reproductive risk factors in breast cancer development among females from South Punjab, Pakistan. Methods: Data was collected through hospitals between October 2017 and March 2018 and study got approval by Bioethical Committee of Quaid-i-Azam University in September, 2017. A total of 163 cases and 163 age-matched controls were recruited through non-probability consecutive sampling method. All histologically confirmed patients irrespective of age, family history, clinical presentation and histopathological type were included in the study as cases. Patients, who were not willing to participate were excluded from the study. Details regarding socio-demographic characteristics, family history of cancer, reproductive health and lifestyle factors were recorded using a structured questionnaire. Conditional logistic regression was performed to calculate odds ratios at 95% confidence intervals for breast cancer by menstrual and reproductive factors after adjustment of potential confounders. Conditional logistic regression was also applied for various demographic and medical risk factors/exposures. Results: We found positive family history and hypertension significantly linked to an increased breast cancer risk (adjusted O.R >1.5, 95% CI, P<0.05) whereas, intense physical activity, increased anthropometric measurements and breastfeeding per child in months were inversely associated with breast cancer risk (adjusted O.R <1.0, 95% CI, P<0.05) in our study cohort. Conclusion: Our study reaffirms contribution of established risk factors for breast cancer, highlights protective factors and necessitates awareness/screening programs to reduce breast cancer burden in upcoming generations. Continuous...

Physical Activity and Postmenopausal Breast Cancer

2009 ◽  
Vol 48 (05) ◽  
pp. 444-450 ◽  
Author(s):  
M. E. Schmidt ◽  
J. Chang-Claude ◽  
T. Slanger ◽  
N. Obi ◽  
D. Flesch-Janys ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Risk Factors ◽  
Family History ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Postmenopausal Breast Cancer ◽  
Breast Diseases ◽  
Inverse Association ◽  
Hormone Receptor Positive

Summary Objectives: Epidemiological evidence suggests an inverse association between physical activity (PA) and postmenopausal breast cancer risk. Breast cancer is a heterogeneous disease, influenced by reproductive factors, lifestyle pattern, and predispositions. We investigated whether these risk factors modify the effect of PA on breast cancer risk. Methods: We analyzed data from 2004 hormone-receptor-positive postmenopausal breast cancer cases and 6569 controls from the population-based MARIE study conducted 2002–2005 in Germany. Interaction was statistically tested using adjusted unconditional logistic regression models. Results: The inverse association between leisure-time PA and risk of postmenopausal hormone-receptor-positive breast cancer was not heterogeneous by family history of breast cancer or by hormone therapy. PA showed a significant interaction with benign breast diseases (p = 0.023) and with breastfeeding (p = 0.045) but not with parity (p = 0.94), with clear risk reductions only for women who ever had breastfed or who ever had a benign breast disease (among ever breastfed: odds ratio = 0.63; 95% confidence interval = (0.52, 0.77), highest vs. lowest PA quartile). Interaction with BMI was weak (p = 0.053). Conclusions: Breastfeeding and benign breast diseases modified the effect of PA on postmenopausal breast cancer risk. If other studies find similar modifications, increasing knowledge about these risk factors may contribute to a better understanding of the mode of action of PA on breast cancer risk. For women who are at higher risk for breast cancer due to family history or due to hormone therapy use, it is encouraging that they might lower their risk by being physically active.

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