Citations

Abstract Background: Many epithelial ovarian cancer (EOC) risk factors relate to hormone exposure and elevated estrogen levels are associated with obesity in postmenopausal women. Therefore, we hypothesized that gene–environment interactions related to hormone-related risk factors could differ between obese and non-obese women. Methods: We considered interactions between 11,441 SNPs within 80 candidate genes related to hormone biosynthesis and metabolism and insulin-like growth factors with six hormone-related factors (oral contraceptive use, parity, endometriosis, tubal ligation, hormone replacement therapy, and estrogen use) and assessed whether these interactions differed between obese and non-obese women. Interactions were assessed using logistic regression models and data from 14 case–control studies (6,247 cases; 10,379 controls). Histotype-specific analyses were also completed. Results: SNPs in the following candidate genes showed notable interaction: IGF1R (rs41497346, estrogen plus progesterone hormone therapy, histology = all, P = 4.9 × 10−6) and ESR1 (rs12661437, endometriosis, histology = all, P = 1.5 × 10−5). The most notable obesity–gene–hormone risk factor interaction was within INSR (rs113759408, parity, histology = endometrioid, P = 8.8 × 10−6). Conclusions: We have demonstrated the feasibility of assessing multifactor interactions in large genetic epidemiology studies. Follow-up studies are necessary to assess the robustness of our findings for ESR1, CYP11A1, IGF1R, CYP11B1, INSR, and IGFBP2. Future work is needed to develop powerful statistical methods able to detect these complex interactions. Impact: Assessment of multifactor interaction is feasible, and, here, suggests that the relationship between genetic variants within candidate genes and hormone-related risk factors may vary EOC susceptibility. Cancer Epidemiol Biomarkers Prev; 25(5); 780–90. ©2016 AACR.

Abstract Rationale Hospital readmission for chronic obstructive pulmonary disease (COPD) has attracted attention owing to the burden to patients and the health care system. There is a knowledge gap on approaches to reducing COPD readmissions. Objectives To determine the effect of comprehensive health coaching on the rate of COPD readmissions. Methods A total of 215 patients hospitalized for a COPD exacerbation were randomized at hospital discharge to receive either (1) motivational interviewing–based health coaching plus a written action plan for exacerbations (the use of antibiotics and oral steroids) and brief exercise advice or (2) usual care. Measurements and Main Results We evaluated the rate of COPD-related hospitalizations during 1 year of follow-up. The absolute risk reductions of COPD-related rehospitalization in the health coaching group were 7.5% (P = 0.01), 11.0% (P = 0.02), 11.6% (P = 0.03), 11.4% (P = 0.05), and 5.4% (P = 0.24) at 1, 3, 6, 9, and 12 months, respectively, compared with the control group. The odds ratios for COPD hospitalization in the intervention arm compared with the control arm were 0.09 (95% confidence interval [CI], 0.01–0.77) at 1 month postdischarge, 0.37 (95% CI, 0.15–0.91) at 3 months postdischarge, 0.43 (95% CI, 0.20–0.94) at 6 months postdischarge, and 0.60 (95% CI, 0.30–1.20) at 1 year postdischarge. The missing value rate for the primary outcome was 0.4% (one patient). Disease-specific quality of life improved significantly in the health coaching group compared with the control group at 6 and 12 months, based on the Chronic Respiratory Disease Questionnaire emotional score (emotion and mastery domains) and physical score (dyspnea and fatigue domains) (P < 0.05). There were no differences between groups in measured physical activity at any time point. Conclusions Health coaching may represent a feasible and possibly effective intervention designed to reduce COPD readmissions. Clinical trial registered with www.clinicaltrials.gov (NCT01058486).

Abstract Background: While numerous susceptibility loci for epithelial ovarian cancer (EOC) have been identified, few associations have been reported with overall survival. In the absence of common prognostic genetic markers, we hypothesize that rare coding variants may be associated with overall EOC survival and assessed their contribution in two exome-based genotyping projects of the Ovarian Cancer Association Consortium (OCAC). Methods: The primary patient set (Set 1) included 14 independent EOC studies (4,293 patients) and 227,892 variants, and a secondary patient set (Set 2) included six additional EOC studies (1,744 patients) and 114,620 variants. Because power to detect rare variants individually is reduced, gene-level tests were conducted. Sets were analyzed separately at individual variants and by gene, and then combined with meta-analyses (73,203 variants and 13,163 genes overlapped). Results: No individual variant reached genome-wide statistical significance. A SNP previously implicated to be associated with EOC risk and, to a lesser extent, survival, rs8170, showed the strongest evidence of association with survival and similar effect size estimates across sets (Pmeta = 1.1E−6, HRSet1 = 1.17, HRSet2 = 1.14). Rare variants in ATG2B, an autophagy gene important for apoptosis, were significantly associated with survival after multiple testing correction (Pmeta = 1.1E−6; Pcorrected = 0.01). Conclusions: Common variant rs8170 and rare variants in ATG2B may be associated with EOC overall survival, although further study is needed. Impact: This study represents the first exome-wide association study of EOC survival to include rare variant analyses, and suggests that complementary single variant and gene-level analyses in large studies are needed to identify rare variants that warrant follow-up study. Cancer Epidemiol Biomarkers Prev; 25(3); 446–54. ©2016 AACR.

ABSTRACT The value of matrix-assisted laser desorption ionization−time of flight mass spectrometry (MALDI-TOF MS) for the identification of bacteria and yeasts is well documented in the literature. Its utility for the identification of mycobacteria and Nocardia spp. has also been reported in a limited scope. In this work, we report the specificity of MALDI-TOF MS for the identification of 162 Mycobacterium species and subspecies, 53 Nocardia species, and 13 genera (totaling 43 species) of other aerobic actinomycetes using both the MALDI-TOF MS manufacturer's supplied database(s) and a custom database generated in our laboratory. The performance of a simplified processing and extraction procedure was also evaluated, and, similar to the results in an earlier literature report, our viability studies confirmed the ability of this process to inactivate Mycobacterium tuberculosis prior to analysis. Following library construction and the specificity study, the performance of MALDI-TOF MS was directly compared with that of 16S rRNA gene sequencing for the evaluation of 297 mycobacteria isolates, 148 Nocardia species isolates, and 61 other aerobic actinomycetes isolates under routine clinical laboratory working conditions over a 6-month period. MALDI-TOF MS is a valuable tool for the identification of these groups of organisms. Limitations in the databases and in the ability of MALDI-TOF MS to rapidly identify slowly growing mycobacteria are discussed.

In response to major practice changes in obstetrics and gynecology (OB/GYN), the 2015 Annual Clinical and Scientific Meeting of the American College of Obstetricians and Gynecologists responded with modification of the program organization, methods of presenting the information (debates, hands on, flip classrooms) and increased emphasis on current clinical research. The Presidential Program covered broad themes of changes in healthcare technology, teamwork in OB/GYN practice and the importance of advocating for patients. Over 400 abstracts representing a broad range of clinical and basic science research were presented. Changes in the Annual Clinical and Scientific Meeting should allow the membership to be more prepared and pro-active as the practice of OB/GYN evolves.

Several abnormal patterns have been identified on the sensory portion of the computerized dynamic posturography test. The vestibular deficit pattern, also known as the “5–6” pattern, is frequently seen in patients with either uncompensated unilateral vestibular lesions, severe bilateral peripheral vestibular loss, or dysfunction involving the vestibular pathways in the brain stem and/or cerebellum. In both sensory conditions 5 and 6, the patient's balance/equilibrium is determined primarily by the vestibular system. A subgroup of the vestibular deficit pattern has been identified, in which only sensory condition 5 is abnormal. This article presents findings in several cases identified with the 5 pattern. Implications for diagnosis and for monitoring the recovery phase after treatment are discussed.