Identify factors for insufficient (> 2 yr) mammogram screening among Oregonian women.

PURPOSE: Women with breast cancer diagnosed from mammogram screenings have a lower mortality risk than women diagnosed from symptoms. Currently, the U.S Preventive Services Task Force recommends biannual screening for women aged 50-74 years old. In this study, we aimed to identify factors associated with inadequate screening defined as "no mammogram screening within past 2 years" to guide cancer prevention and early detection efforts. METHODS: This study utilized area-based probabilistic sampling survey data, collected across Oregon in 2019. Dataset weights were calculated using a raking approach. Demographic and behavior information were collected with existing validated questionnaire items from national surveys. Weighted multivariable logistic regression analyses with missing-value imputations were conducted to identify factors associated with inadequate mammogram screening. RESULTS: The study included 254 women 50-74 years old without previous breast or ovarian cancer history. 19.29% of the sample reported no mammogram within two years, including 1.57% with no previous mammograms. Following unadjusted analyses, the significant factors included education, occupation status, health insurance and smoking and were therefore included into the adjusted model. In the multivariate adjusted model education remained significant while occupation status, health insurance and smoking were no longer significant. Compared to women with a college graduate degree, women with less than college graduate degree were at higher risk of inadequate screening [OR (95% CI) = 3.23 (1.54, 6.74)]. CONCLUSIONS: Lack of education was significantly associated with inadequate mammogram screening even after adjusting for occupation status, health insurance and smoking, which should prompt further outreach and education.

Diet-Driven Inflammation and Insulinemia and Risk of Interval Breast Cancer.

Interval breast cancers (IBCs) emerge after a non-suspicious mammogram and before the patient's next scheduled screen. Risk factors associated with IBC have not been identified. This study evaluated if the empirical dietary inflammatory pattern (EDIP) or empirical dietary index for hyperinsulinemia (EDIH) scores are associated with IBC compared to screen-detected breast cancer. Data were from women 50-79 years-old in the Women's Health Initiative cohort who completed food frequency questionnaires at baseline (1993-98) and were followed through March 31, 2019 for breast cancer detection. Women were identified as having either IBC diagnosed within 1-year after their last negative screening mammogram (N = 317) or screen-detected breast cancer (N = 1,928). Multivariable-adjusted logistic regression analyses were used to estimate odds ratios for risk of IBC compared to screen-detected cancer in dietary index tertiles. No associations were observed between EDIP or EDIH and IBC. Odds ratios comparing the highest to the lowest dietary index tertile were 1.08; 95%CI, 0.78-1.48 for EDIP and 0.92; 95%CI, 0.67-1.27 for EDIH. The null associations persisted when stratified by BMI categories. Findings suggest that diet-driven inflammation or insulinemia may not be substantially associated with IBC risk among postmenopausal women. Future studies are warranted to identify modifiable factors for IBC prevention.

Body Mass Index Is Inversely Associated with Risk of Postmenopausal Interval Breast Cancer: Results from the Women's Health Initiative.

Interval breast cancer refers to cancer diagnosed after a negative screening mammogram and before the next scheduled screening mammogram. Interval breast cancer has worse prognosis than screening-detected cancer. Body mass index (BMI) influences the accuracy of mammography and overall postmenopausal breast cancer risk, yet how is obesity associated with postmenopausal interval breast cancer incidence is unclear. The current study included cancer-free postmenopausal women aged 50-79 years at enrollment in the Women's Health Initiative who were diagnosed with breast cancer during follow-up. Analyses include 324 interval breast cancer cases diagnosed within one year after the participant's last negative screening mammogram and 1969 screening-detected breast cancer patients. Obesity (BMI ≥ 30 kg/m2) was measured at baseline. Associations between obesity and incidence of interval cancer were determined by sequential logistic regression analyses. In multivariable-adjusted models, obesity was inversely associated with interval breast cancer risk [OR (95% CI) = 0.65 (0.46, 0.92)]. The inverse association persisted after excluding women diagnosed within 2 years [OR (95% CI) = 0.60 (0.42, 0.87)] or 4 years [OR (95% CI) = 0.56 (0.37, 0.86)] of enrollment, suggesting consistency of the association regardless of screening practices prior to trial entry. These findings warrant confirmation in studies with body composition measures.

Insights Into the Oral Microbiome and Barrett's Esophagus Early Detection: A Narrative Review.

Barrett's esophagus (BE) prevalence has increased steadily over the past several decades and continues to be the only known precursor of esophageal adenocarcinoma. The exact cause of BE is still unknown. Most evidence has linked BE to gastroesophageal reflux disease, which injures squamous esophageal mucosa and can result in the development of columnar epithelium with intestinal metaplasia. However, this relationship is inconsistent-not all patients with severe gastroesophageal reflux disease develop BE. There is increasing evidence that the host microbiome spanning the oral and esophageal environments differs in patients with and without BE. Several studies have documented the oral and esophageal microbiome's composition for BE with inconsistent findings. The scarcity and inconsistency of the literature and the dynamic phenomena of microbiota all warrant further studies to validate the findings and dissect the effects of oral microbiota, which are considered a viable proxy to represent esophageal microbiota by many researchers. This review aims to summarize the variability of the oral and esophageal microbiome in BE by using the example of Streptococcus to discuss the limitations of the current studies and suggest future directions. Further characterization of the sensitivity and specificity of the oral microbiome as a potential risk prediction or prevention marker of BE is critical, which will help develop noninvasive early detection methods for BE, esophageal adenocarcinoma, and other esophageal diseases.