BACKGROUND:There are few studies of social support and other social determinants of health after breast cancer diagnosis and their associations with mortality; results have been inconclusive. Further, it is not known if observed associations are specific to women with breast cancer diagnosis or if associations would be similar among healthy women. METHODS:Women with incident, pathologically confirmed invasive breast cancer, stage I-IV (n = 1012), and healthy frequency age-matched participants (n = 2036) answered a social support questionnaire in prospective follow-up of a population-based case-control study, the Western New York Exposures and Breast Cancer Study. At interview, all participants were aged 35-79 years and resident of 2 counties in Western New York State. Mortality status was ascertained from the National Death Index. Participants were queried regarding the number of their close friends, frequency of seeing them, household size, household income, and marital status. Hazard ratios (HRs) and 95% confidence intervals (CIs) for breast cancer-specific mortality (breast cancer women only) and all-cause mortality were estimated. RESULTS:Lower household income was associated with higher all-cause mortality among women diagnosed with breast cancer (HR = 2.48, 95% CI = 1.24 to 4.97) and similarly among the healthy women (HR = 2.63, 95% CI = 1.25 to 5.53). Number and frequency of seeing friends, marital status, and household size were not associated with mortality, either among breast cancer patients or among healthy women. CONCLUSION:Among those diagnosed with breast cancer and healthy women, lower income was associated with more than twice the mortality. Marital status, household size, and number or frequency of meeting friends were not associated with survival.

Figure S1 shows the study flowchart for the inclusion of participants. It depicts how we arrived at our final analytic population.

Characteristics of the 27 studies included in the E2C2 pooled analysis

Figure S2 is a forest plot of the association between hypertension and endometrial cancer by study site. It displays the associations between hypertension and endometrial cancer for each study site included grouped by study type (case-control, cohort)

PurposeThere is increasing evidence that sleep duration may affect breast cancer survival through effects on circadian function, influencing disease progression. However, further investigation of this association is needed.MethodsIn a population-based, prospective cohort study of women from the Western New York Exposures and Breast Cancer Study, we examined mortality outcomes with invasive breast cancer identified using the National Death Index. Cox proportion hazards ratios with 95% confidence intervals were used to estimate risk of all-cause (AC) and breast cancer-specific (BC) mortality associated with self-reported usual sleep duration with adjustment for age, race/ethnicity, years of education, body mass index (BMI), menopausal status, pack-years of smoking, tumor stage, and estrogen-receptor (ER) status. We further examined associations within strata of BMI, tumor stage, menopausal status, and ER status.ResultsA sample of 817 patients with breast cancer were followed for a median of 18.7 years, during which 339 deaths were reported, including 132 breast cancer-specific deaths. Those who reported shorter or longer sleep tended to have a slightly higher BMI, to be less proportionately non-Hispanic White, to report a previous history of benign breast disease, and to have consumed more alcohol during their lifetime. We found no significant associations between sleep duration and AC or BC mortality, including within stratified analyses.ConclusionSleep duration was not associated with either AC or BC mortality including within strata of BMI, tumor stage, menopausal status, or ER status.

<p>Description of the studies included in the pooled analysis and methods of data collection</p>

Obesity in children and adolescents has increased globally. Increased body mass index (BMI) during adolescence carries significant long-term adverse health outcomes, including chronic diseases such as cardiovascular disease, stroke, diabetes, and cancer. Little is known about the metabolic consequences of changes in BMI in adolescents outside of typical clinical parameters. Here, we used untargeted metabolomics to assess changing BMI in male adolescents. Untargeted metabolomic profiling was performed on urine samples from 360 adolescents using UPLC–QTOF-MS. The study includes a baseline of 235 subjects in a discovery set and 125 subjects in a validation set. Of them, a follow-up of 81 subjects (1 year later) as a replication set was studied. Linear regression analysis models were used to estimate the associations of metabolic features with BMI z-score in the discovery and validation sets, after adjusting for age, race, and total energy intake (kcal) at false-discovery-rate correction (FDR) ≤ 0.1. We identified 221 and 16 significant metabolic features in the discovery and in the validation set, respectively. The metabolites associated with BMI z-score in validation sets are glycylproline, citrulline, 4-vinylsyringol, 3′-sialyllactose, estrone sulfate, carnosine, formiminoglutamic acid, 4-hydroxyproline, hydroxyprolyl-asparagine, 2-hexenoylcarnitine, L-glutamine, inosine, N-(2-Hydroxyphenyl) acetamide glucuronide, and galactosylhydroxylysine. Of those 16 features, 9 significant metabolic features were associated with a positive change in BMI in the replication set 1 year later. Histidine and arginine metabolism were the most affected metabolic pathways. Our findings suggest that obesity and its metabolic outcomes in the urine metabolome of children are linked to altered amino acids, lipid, and carbohydrate metabolism. These identified metabolites may serve as biomarkers and aid in the investigation of obesity’s underlying pathological mechanisms. Whether these features are associated with the development of obesity, or a consequence of changing BMI, requires further study.

The IARC convened a group of scientists to review the evidence on reduction or cessation of alcohol beverage consumption in relation to alcohol-related cancer incidence or mortality.

Supplementary Figure from Saliva and Lung Microbiome Associations with Electronic Cigarette Use and Smoking

Background Endometrial cancer risk stratification may help target interventions, screening, or prophylactic hysterectomy to mitigate the rising burden of this cancer. However, existing prediction models have been developed in select cohorts and have not considered genetic factors. Methods We developed endometrial cancer risk prediction models using data on postmenopausal White women aged 45-85 years from 19 case-control studies in the Epidemiology of Endometrial Cancer Consortium (E2C2). Relative risk estimates for predictors were combined with age-specific endometrial cancer incidence rates and estimates for the underlying risk factor distribution. We externally validated the models in 3 cohorts: Nurses' Health Study (NHS), NHS II, and the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial. Results Area under the receiver operating characteristic curves for the epidemiologic model ranged from 0.64 (95% confidence interval [CI] = 0.62 to 0.67) to 0.69 (95% CI = 0.66 to 0.72). Improvements in discrimination from the addition of genetic factors were modest (no change in area under the receiver operating characteristic curves in NHS; PLCO = 0.64 to 0.66). The epidemiologic model was well calibrated in NHS II (overall expected-to-observed ratio [E/O] = 1.09, 95% CI = 0.98 to 1.22) and PLCO (overall E/O = 1.04, 95% CI = 0.95 to 1.13) but poorly calibrated in NHS (overall E/O = 0.55, 95% CI = 0.51 to 0.59). Conclusions Using data from the largest, most heterogeneous study population to date (to our knowledge), prediction models based on epidemiologic factors alone successfully identified women at high risk of endometrial cancer. Genetic factors offered limited improvements in discrimination. Further work is needed to refine this tool for clinical or public health practice and expand these models to multiethnic populations.

Background: Study results of prediagnostic dietary fat intake and breast cancer mortality have been inconclusive. While dietary fat subtypes [saturated (SFA), polyunsaturated (PUFA), and mono-unsaturated (MUFA) fatty acids] may have different biological effects, there is little evidence regarding the association of dietary fat and fat subtype intake with mortality after breast cancer diagnosis.Methods: Women with incident, pathologically confirmed invasive breast cancer and complete dietary data (n = 793) were followed in a population-based study, the Western New York Exposures and Breast Cancer study. Usual intake before diagnosis of total fat and subtypes were estimated from a food frequency questionnaire completed at baseline. HRs and 95% confidence intervals (CI) for all-cause and breast cancer-specific mortality were estimated with Cox proportional hazards models. Interactions by menopausal status, estrogen receptor (ER) status, and tumor stage were examined. Results: Median follow-up time was 18.75 years; 327 (41.2%) participants had died. Compared with lower intake, greater intake of total fat (HR, 1.05; 95% CI, 0.65-1.70), SFA (1.31; 0.82-2.10), MUFA (0.99; 0.61-1.60), and PUFA (0.99; 0.56-1.75) was not associated with breast cancer-specific mortality. There was also no association with all-cause mortality. Results did not vary by menopausal status, ER status, or tumor stage.Conclusions: Prediagnostic intake of dietary fat and fat subtypes was not associated with either all-cause or breast cancer mortality in a population-based cohort of breast cancer survivors.Impact: Understanding factors affecting survival among women diagnosed with breast cancer is critically important. Dietary fat intake prior to diagnosis may not impact that survival.

It is hypothesized that garlic, Allium sativum, might protect against oxidative stress that causes damage to cells and tissues leading to the development of various health conditions including cancer. However, it is not known whether garlic's potential anticancer benefits differ by form of garlic consumed. This study aimed to quantify and compare the in vitro antioxidant and antiproliferative activity of several garlic forms in water and alcohol extracts including fresh garlic, fresh garlic set aside, heated garlic, heated garlic set aside, garlic powder, black garlic, two commercially available garlic supplements. Antioxidant activity of different garlic forms were measured using three assays: DPPH (2,2-diphenyl-1-picryl-hydrazyl-hydrate) assay, superoxide assay, and hydroxyl assay. In vitro effects of garlic extracts were investigated against the most common lung cancer subtypes: H520, H1975, and A549 cell lines using the sulforhodamine B (SRB) assay. Among free radical scavenging assays, Garlicin®, a commercially available supplement, displayed high antioxidant activity in water and alcohol extracts (DPPH assay: 2.02 mg AAE (mg ascorbic acid equivalent)/g garlic and 3.53 mg AAE/g garlic, respectively; superoxide assay: 6.73 mg AAE/g garlic and 7.13 mg AAE/g garlic, respectively). In the hydroxyl assay, water extract of fresh garlic crushed and set aside for 10 min showed the highest antioxidant activity. Garlicin® alcohol extract and fresh garlic water extracts strongly inhibited the proliferation of H1975, A549 and H520 cells. Other forms of garlic including garlic powder and black garlic exhibited low antioxidant and antiproliferative activity. Our results demonstrate that the preparation and processing methods of garlic may lead to different antioxidant benefits.

AIMSTo examine the association between alcohol consumption and mental health during the COVID-19 pandemic.METHODSAn anonymous online survey was distributed among US adults during May-August 2020 through social networks and ResearchMatch. We collected information on demographic, lifestyles and mental health symptoms including anxiety, depression, stress and post-traumatic stress disorder. Logistic regression models were used to examine the cross-sectional association between alcohol consumption and mental health symptoms. We also examined effect modification by race, age, gender, social support, financial insecurity and quarantine status.RESULTSThe analytical sample consists of 3623 adults. Stable drinking habits and regular drinking behaviors were found to co-exist with better mental health status. Participants who increased their alcohol use had higher odds of developing mental health disorders than those who maintained their pre-pandemic drinking habits. Additionally, participants who engaged in binge drinking during the pandemic had higher odds of depression and stress than those who did not. The associations regarding increased drinking and binge drinking in relation to adverse mental health outcomes were stronger among females, racial minorities, and individuals with financial concerns, poor social support and restricted quarantine status than their counterparts.CONCLUSIONSDuring the early stage of the COVID-19 pandemic, increased alcohol use and binge drinking are cross-sectionally associated with higher odds of mental health disorders, which highlighted the need for targeted intervention to address the mental health needs of individuals who have engaged in these behaviors, especially among females, minorities, those with insecurities or with restricted quarantine status.

Smokers (SM) have increased lung immune cell counts and inflammatory gene expression compared to electronic cigarette (EC) users and never-smokers (NS). The objective of this study is to further assess associations for SM and EC lung microbiomes with immune cell subtypes and inflammatory gene expression in samples obtained by bronchoscopy and bronchoalveolar lavage (n = 28). RNASeq with the CIBERSORT computational algorithm were used to determine immune cell subtypes, along with inflammatory gene expression and microbiome metatranscriptomics. Macrophage subtypes revealed a two-fold increase in M0 (undifferentiated) macrophages for SM and EC users relative to NS, with a concordant decrease in M2 (anti-inflammatory) macrophages. There were 68, 19, and 1 significantly differentially expressed inflammatory genes (DEG) between SM/NS, SM/EC users, and EC users/NS, respectively. CSF-1 and GATA3 expression correlated positively and inversely with M0 and M2 macrophages, respectively. Correlation profiling for DEG showed distinct lung profiles for each participant group. There were three bacteria genera–DEG correlations and three bacteria genera–macrophage subtype correlations. In this pilot study, SM and EC use were associated with an increase in undifferentiated M0 macrophages, but SM differed from EC users and NS for inflammatory gene expression. The data support the hypothesis that SM and EC have toxic lung effects influencing inflammatory responses, but this may not be via changes in the microbiome.

Background: Up to 75% of ovarian cancers will become platinum resistant and survival following the development of resistance is typically less than one year. New therapies with higher curative rates are needed to improve prognosis. There has been increasing interest in inhibitors of sodium glucose cotransporter-2 (SGLT2) in suppressing tumor growth. Use of SGLT2 inhibitors show promise not only due to their ability to inhibit glucose uptake, but also from the subsequent improvements in other metabolic disorders that may affect cancer prognosis. Purpose: We evaluated the associations of tumor SGLT2 protein expression with survival following diagnosis of incident epithelial ovarian cancer (EOC). Methods: Tumor samples were obtained from 492 patients undergoing debulking surgery for primary EOC at Roswell Park Comprehensive Cancer Center between 1995 and 2002. Only incident cases and patients who did not receive neo-adjuvant chemotherapy were included in analyses (n=396). Tissue samples were compiled into tissue microarray blocks that were sectioned, stained, imaged, and analyzed for SGLT2 expression. Data on patient, clinical, and tumor characteristics, along with available information on components of metabolic disorders, were linked to each patient. Multivariate Cox proportional hazards models were performed to determine hazards ratios (HR) and 95% confidence intervals (CI) for EOC-specific and all-cause mortality. Results: In our analysis of 396 EOC patients seen at Roswell Park, we observed significant associations between high SGLT2 expression and decreased risk of both EOC-specific (HR: 0.68; 95% CI: 0.49-0.94) and all-cause mortality (HR: 0.71; 95% CI: 0.53-0.95). In particular, among those with advanced-stage tumors, there was a significant association between high SGLT2 expression and lower risk of EOC-specific (HR: 0.61; 95% CI: 0.42-0.91) and all-cause mortality (HR: 0.64; 95% CI: 0.45-0.90). A lower risk of all-cause mortality was observed among those with high-grade tumors (HR: 0.69; 95% CI: 0.48-0.98). Trends of increasing SGLT2 associated with decreased risk of mortality varied by histological subtype. The inverse association between high SGLT2 and EOC-death was stronger among those with a history of hyperlipidemia (HR: 0.46; 95% CI: 0.19-0.99) and obesity (HR: 0.43; 95% CI: 0.23-0.82) compared to other metabolic syndrome components. These associations were less robust for all-cause mortality. Conclusion: Contrary to our initial hypothesis, higher SGLT2 expression among EOC patients may be associated with more favorable prognosis. This association may be stronger for high grade and advanced stage tumors as well as non-serous subtypes. Identifying other factors associated with levels of expression could aid in the development of potential screening interventions and more personalized treatment. Citation Format: Jennifer M. Mongiovi, Jo L. Freudenheim, Jeff C. Miecznikowski, Susan E. McCann, Ashley E. Stenzel, Wiam Bshara, Agnieszka Witkiewicz, Leighton Stein, Lisa D. Kellenberger, Ahmad Al Sulimani, Kirsten B. Moysich. Associations of sodium glucose cotransporter-2 (SGLT2), metabolic disorders, and survival following incident epithelial ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 6402.

BACKGROUND:Mitochondrial DNA copy number (mtCN) maintains cellular function and homeostasis, and is linked to nuclear DNA methylation and gene expression. Increased mtCN in the blood is associated with smoking and respiratory disease, but has received little attention for target organ effects for smoking or electronic cigarette (EC) use. METHODS:Bronchoscopy biospecimens from healthy EC users, smokers (SM), and never-smokers (NS) were assessed for associations of mtCN with mtDNA point mutations, immune responses, nuclear DNA methylation and gene expression using linear regression. Ingenuity pathway analysis was used for enriched pathways. GEO and TCGA respiratory disease datasets were used to explore the involvement of mtCN-associated signatures. FINDINGS:mtCN was higher in SM than NS, but EC was not statistically different from either. Overall there was a negative association of mtCN with a point mutation in the D-loop but no difference within groups. Positive associations of mtCN with IL-2 and IL-4 were found in EC only. mtCN was significantly associated with 71,487 CpGs and 321 transcripts. 263 CpGs were correlated with nearby transcripts for genes enriched in the immune system. EC-specific mtCN-associated-CpGs and genes were differentially expressed in respiratory diseases compared to controls, including genes involved in cellular movement, inflammation, metabolism, and airway hyperresponsiveness. INTERPRETATION:Smoking may elicit a lung toxic effect through mtCN. While the impact of EC is less clear, EC-specific associations of mtCN with nuclear biomarkers suggest exposure may not be harmless. Further research is needed to understand the role of smoking and EC-related mtCN on lung disease risks. FUNDING:The National Cancer Institute, the National Heart, Lung, and Blood Institute, the Food and Drug Administration Center for Tobacco Products, the National Center For Advancing Translational Sciences, and Pelotonia Intramural Research Funds.

BACKGROUND AND AIM: Telomere length (TL) at birth determines TL in a later life and has been linked to midlife risk of cardiovascular disease, but its own determinants remain unclear. We aim to examine the association and to identify the sensitive window of pre-conception and prenatal exposures to fine particulate matter (PM2.5) with cord blood TL in a heavily air-polluted area in China. METHODS: In 2017, 107 pregnant women admitted for delivery at Anzhen Hospital in Beijing, China, were interviewed for demographics, addresses, and lifestyle factors. Weekly levels of ambient PM2.5 exposure from the three months before pregnancy to the end of pregnancy were estimated from a validated spatiotemporal model. PM2.5 exposure levels based on home and work addresses were combined by work routines. Cord blood leukocyte TL was measured using quantitative polymerase chain reaction. We used distributed lag models (DLMs) to analyze the association and to identify the sensitive window of ambient PM2.5 exposure with cord blood TL with adjusting for potential confounders. DLM analyses were also conducted in stratified subsamples by newborn sex. RESULTS:PM2.5 levels (median: 85 μg/m3) in the three months before LMP was positively (r=0.16) correlated with cord blood TL, while PM2.5 levels (median 78 μg/m3) in the whole pregnancy was inversely (r=-0.15) correlated with cord blood TL, although none of the correlation was significant (P0.05). From DLM, we found PM2.5 exposure was significantly associated with cord blood TL in three sensitive windows: 6-12 weeks before pregnancy (positive association), 6-18 weeks during pregnancy (inverse association), and 39-40 weeks during pregnancy (inverse association). These associations were more evident in female than male newborns. CONCLUSIONS:Preconception and prenatal exposure to ambient PM2.5 exposure may shorten cord blood TL, especially for female fetuses. Future studies with larger sample size are needed to replicate our findings. KEYWORDS: Particulate matter, Birth outcomes, Environmental epidemiology, Modeling

Garlic, an Allium vegetable, contains rich flavonoids organosulfur compounds (OSCs) that have potent anticancer properties. The aim of the review is to provide an overview of the different types of garlic, their active compounds, and the potential anticancer benefits with a focus on antioxidant activity. Animal and cell line studies have provided convincing evidence that garlic and its organosulfur compounds inhibit carcinogenesis through a number of events including induction of apoptosis, inhibiting cellular proliferation, scavenging radical oxygen species (ROS), increasing the activities of enzymes such as glutathione S-transferase, and reducing tumor size. Epidemiological studies showed compelling evidence that garlic consumption is associated with decreased risk of colorectal cancer, but inconsistent evidence for stomach, breast, and prostate cancers. Studies also suggest that the presence and potency of garlic OSCs varies with respect to the preparation and form of garlic. Further epidemiological studies with information on garlic form consumed or preparation methods and molecular studies regarding its antioxidant mechanisms, such as increasing enzymatic and nonenzymatic antioxidants levels, are warranted.

Research findings remain inconsistent whether caffeine consumption is associated with invasive breast cancer. We aimed to examine the association between caffeine intake from coffee and tea and incident invasive breast cancer among postmenopausal women. We included 79 871 participants in the Women's Health Initiative Observational Study in the current analysis. Incident invasive breast cancers were identified through September 30, 2015. Caffeine intake (mg/day) from caffeinated and decaffeinated coffee and tea was estimated based on self-reported frequency (cups/day) and average caffeine amount in each beverage. Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). Subgroup analyses were conducted to explore whether associations of caffeine intake from coffee and tea with invasive breast cancer were different by age, race and ethnicity, smoking status, body mass index, history of hormone therapy use, alcohol intake and subtypes of breast cancer. During a median follow-up of 16.0 years, 4719 incident invasive breast cancers were identified. No significant association was found between caffeine intake from coffee and tea and invasive breast cancer incidence after adjusting for demographic, lifestyle and reproductive factors: HRs (95% CIs) for increasing quartiles of caffeine intake compared to the lowest were 1.03 (0.94, 1.12), 1.04 (0.95, 1.13) and 1.03 (0.94, 1.13), respectively (P-for-trend = .54). No significant associations of coffee and tea intake (cups/day) with overall breast cancer risk were found. Our findings are consistent with others showing no clear association of caffeine consumption with invasive breast cancer among postmenopausal women.