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Purpose: The gut microbiome is a potentially important contributor to endogenous estrogen levels after menopause. In healthy postmenopausal women, we examined associations of fecal microbiome composition with levels of urinary estrogens, their metabolites, and relevant metabolic pathway ratios implicated in breast cancer risk. Methods: Eligible postmenopausal women (n = 164) had a body mass index (BMI) ≤ 35 kg/m2 and no history of hormone use (previous 6 months) or cancer/metabolic disorders. Estrogens were quantified in spot urine samples with liquid chromatography-high resolution mass spectrometry (corrected for creatinine). Bacterial DNA was isolated from fecal samples and the V1–V2 hypervariable regions of 16S rRNA were sequenced on the Illumina MiSeq platform. We examined associations of gut microbiome's indices of within-sample (alpha) diversity (i.e., Shannon, Chao1, and Inverse Simpson), phylogenetic diversity, and the ratio of the two main phyla (Firmicutes and Bacteroidetes; F/B ratio) with individual estrogens and metabolic ratios, adjusted for age and BMI. Results: In this sample of 164 healthy postmenopausal women, the mean age was 62.9 years (range 47.0–86.0). We found significant inverse associations of observed species with 4-pathway:total estrogens (p = 0.04) and 4-pathway:2-pathway (p = 0.01). Shannon index was positively associated with 2-catechols: methylated 2-catechols (p = 0.04). Chao1 was inversely associated with E1:total estrogens (p = 0.04), and 4-pathway:2-pathway (p = 0.02) and positively associated with 2-pathway:parent estrogens (p = 0.01). Phylogenetic diversity was inversely associated with 4-pathway:total estrogens (p = 0.02), 4-pathway:parent estrogens (p = 0.03), 4-pathway:2-pathway (p = 0.01), and 4-pathway:16-pathway (p = 0.03) and positively associated with 2-pathway:parent estrogens (p = 0.01). F/B ratio was not associated with any of the estrogen measures. Conclusion: Microbial diversity was associated with several estrogen metabolism ratios implicated in breast cancer risk. Further studies are warranted to confirm these findings in a larger and more representative sample of postmenopausal women, particularly with enrichment of minority participants. [ABSTRACT FROM AUTHOR]

Purpose: Circulating estrogens are an established risk factor for postmenopausal breast cancer (BCa). We describe the distribution of urinary estrogens, their metabolites, and relevant metabolic pathway ratios among healthy postmenopausal women and examine associations of several known BCa factors with these estrogen measures.Methods: Eligible postmenopausal women (n = 167) had no history of hormone use (previous 6 months) and cancer/metabolic disorders and had a body mass index (BMI) ≤ 35 kg/m2. Estrogens were quantified in spot urine samples with liquid chromatography-high-resolution mass spectrometry and corrected for creatinine. We assessed overall distributions of estrogens and associations of age, BMI, race/ethnicity, parity/age at first birth, age at menarche, alcohol, and smoking with log-transformed estrogen measures using multivariate regression.Results: BMI was positively associated with estrone (β per unit = 0.04, 95% Confidence Interval [CI] 0.00; 0.07), combined parent estrogens (β = 0.04, 95% CI 0.01; 0.07), and E2:total estrogens (β = 0.04, 95% CI 0.02; 0.06), and inversely associated with 4-MeOE1 (β = - 0.17, 95% CI - 0.33; - 0.02), E3:parent estrogens (β = - 0.04, 95% CI - 0.07; - 0.00), and 16-pathway:parent (β = - 0.04, 95% CI - 0.07; - 0.01). Being African American vs. white was associated with higher levels of 4-MeOE1 (β = 3.41, 95% CI 0.74; 6.08), 17-epiE3 (β = 1.19, 95% CI 0.07; 2.31), 2-pathway:parent (β = 0.54, 95% CI 0.04; 1.04), and lower levels of E2:total estrogens (β = - 0.48, 95% CI - 0.83; - 0.13). Having < 7 alcohol drinks/week vs. none was associated with higher levels of 16-ketoE2 (β = 1.32, 95% CI 0.36; 2.27), 16-epiE3 (β = 1.02, 95% CI 0.24; 1.79), and 17-epiE3 (β = 0.55, 95% CI 0.02; 1.08). Smoking was positively associated with E3:parent (β = 0.29, 95% CI 0.01; 0.57), 16-pathway:parent (β = 0.25, 95% CI 0.01; 0.49), and inversely associated with estradiol (β = - 0.52, 95% CI - 0.93; - 0.10). As compared to nulliparous, parous women with age at first birth ≥ 25 years had lower levels of estrone, combined parent estrogens, 2-OHE1, and 2-OHE2.Conclusion: Our findings suggest that BMI, race/ethnicity, and some reproductive and lifestyle factors may contribute to postmenopausal BCa through their effects on circulating estrogens. [ABSTRACT FROM AUTHOR]

Purpose: We examined gut microbiome (GM) profiles in relation to mammographic breast density (BD) and body mass index (BMI) in healthy postmenopausal women.Methods: Eligible women were postmenopausal, had a BMI ≤ 35 kg/m2, and had not recently taken oral/IV antibiotics. All women provided a fecal sample and information on breast cancer risk factors. Mammographic BD was classified with the American College of Radiology's BI-RADS BD classification system. Bacterial DNA was isolated from fecal samples and the V1-V2 hypervariable regions of 16S rRNA were sequenced on the Illumina MiSeq platform. We examined associations of GM with indices of within-sample (alpha) diversity and the ratio of the two main phyla (Firmicutes and Bacteroidetes; F/B ratio) with BD and BMI.Results: Among 69 women with BD data, 39 had low BD (BI-RADS I/II) and 30 had high BD (BI-RADS III/IV). BMI was inversely associated with BD (mean BMI = 23.8 and 28.0 in women with high and low BD, respectively, p = 1.07 × 10-5). Similar levels of GM diversity were found across weight groups according to Shannon (p = 0.83); Inverse Simpson (p = 0.97); and Chao1 (p = 0.31) indices. F/B ratio and microbiota diversity were suggestively greater in women with high vs. low BD (p = 0.35, 0.14, 0.15, and 0.17 for F/B ratio, Shannon, Inverse Simpson and Chao1, respectively).Conclusion: Suggestive differences observed in women with high and low BD with respect to GM alpha diversity and prevalence of specific GM taxa need to be confirmed in larger studies. [ABSTRACT FROM AUTHOR]

Purpose/Objectives: To describe advanced cancer patient–spouse caregiver couples' cancer-related concerns, determine dyadic concordance of concerns, and predict concordance based on demographic characteristics. Design/Research Approach: Secondary analysis of cross-sectional self-report data. Sample/Participants: 88 advanced cancer patients and spouse self-identified caregivers. Methods/Methodological Approach: Participants individually completed questionnaires, including demographics and the Cancer Inventory of Problem Situations. Data are described and concordances were calculated using Kappa scores. Generalized Linear Modeling was used to predict concordances using demographic characteristics. Findings: The top patient concern was lack of energy, while the top spouse caregiver concern was worry about cancer. Couples generally had low concordance about concerns. Demographic characteristics did not significantly predict concordance. Conclusions/Interpretation: Low inter- and intra-dyadic congruence may suggest little communication within couples regarding cancer-related concerns. Implications for Psychosocial Providers or Policy: Healthcare providers should reinforce the importance of communication among patients and spouse caregivers to improve concordance and potentially reduce conflict. [ABSTRACT FROM AUTHOR]

Background: Glioma is a devastating primary tumor of the central nervous system with difficult-to-manage symptoms. Cannabis products have been postulated to potentially benefit glioma patients. Recent state legalization allowed investigators an opportunity to study glioma patients' adoption of medical marijuana (MM). Objective: Our goals were to: (1) determine the prevalence of marijuana use, both through physician recommendation and self-medication, and (2) evaluate its perceived risks and benefits in glioma patients. Design: Self-report data were collected and descriptive analyses were conducted. Setting/Subjects: Participants were adult, English-speaking patients undergoing treatment for primary non-recurrent malignant glioma in neuro-oncology clinics at an NCI-designated Comprehensive Cancer Center. Measurements: The survey on MM was adapted from previous research and included questions on knowledge and attitudes toward MM; use, frequency, type, and sourcing of MM; and reasons for use of MM and perceived symptom relief among users. Results: A total of 73 patients were surveyed. The majority of participants were aware that MM was legal in the state, and most reported learning of this through the media. Over 70% of participants reported having considered using MM, and a third reported using marijuana products after their diagnosis. Most received recommendations from friends/family rather than a medical provider, and only half of the users had obtained a physician's recommendation. Users generally reported benefits. Conclusions: With the increasing national conversation that accompanies legalization, glioma patients are pursuing marijuana for the treatment for their symptoms. More research and education is needed to bring health care providers into the conversation. [ABSTRACT FROM AUTHOR]