Citations

ABSTRACT Eukaryotic cell proliferation and phenotype are highly regulated by contact-dependent mechanisms. We have previously shown that the binding and interaction of the opportunistic fungal pathogen Pneumocystis carinii to lung epithelial cells and extracellular matrix proteins induces mRNA expression of both the mitogen-activated protein (MAP) kinase P. carinii Ste20 (PcSte20) and the cell wall-remodeling enzyme PcCbk1 (16). Herein, we report that in addition to PcSte20 mRNA expression being upregulated, Pneumocystis PcSte20 kinase activity is increased upon interacting with these same lung targets. This activity is also significantly suppressed by Clostridium difficile toxin B, a pan-specific inhibitor of small GTPases, demonstrating the potential role of a Cdc42-like molecule in this signaling cascade. We further observed that the PcSte20 kinase physically interacts with a specific region of the P. carinii cell wall biosynthesis kinase, PcCbk1, a downstream kinase important for mating projection formation and cell wall remodeling. This direct binding was mapped to a specific region of the PcCbk1 protein. We also demonstrated that PcSte20 obtained from whole P. carinii lysates has the ability to phosphorylate PcCbk1 after the organism interacts with lung epithelial cells and extracellular matrix components. These observations provide new insights into P. carinii signaling induced by interactions of this important opportunistic fungal pathogen with lung epithelial cells and matrix.

Abstract Background: Mammographic density, the variation in fat, epithelial and stromal tissues seen on screening mammography, is a strong risk factor for breast cancer and can be modified by hormonal agents. Changes in density from tamoxifen or postmenopausal hormone (PMH) use are associated with risk, suggesting that density may be a surrogate marker of therapeutic efficacy. Aromatase inhibitors (AIs) are given as adjuvant therapy in hormone receptor positive postmenopausal breast cancer and are known to decrease levels of estrone and estradiol in both serum and breast tissue. Our goal here was to examine the influence of AIs on mammographic density in women with early breast cancer. Methods: We conducted a case-control study of postmenopausal breast cancer patients initiating adjuvant AI therapy (anastrozole or exemestane) on protocols NCIC CTG MA27, NCCTG N063I and MC (Mayo Clinic) 0532. Eligibility included; an intact contralateral breast with no prior surgery; a screening mammogram within twelve months before AI initiation and at 9-15 months on therapy; no prior endocrine therapy and informed consent. Controls were sampled from the Mayo Mammography Health Study, a cohort of 19,924 receiving screening mammography at the Mayo Clinic, and matched to cases on age, prior PMH use, baseline body mass index (BMI) and interval between mammograms. Pre-treatment and on-study mammograms for cases (corresponding mammograms for controls) were digitized. Change in percent density was estimated on the craniocaudal view of the non-cancerous breast using two methods: a subjective assessment of change by an expert radiologist (within 5%; 5-10% increase, 10-25% increase, 25%+ increase, 5-10% decrease, 10-25% decrease and 25%+ decrease) and a quantitative assessment of absolute change using a computer-assisted thresholding program (Cumulus). Analyses compared magnitude of change in density by both the subjective and quantitative methods between cases and matched controls. Results: 574 pairs were eligible for analyses (MA27-505 cases; N063I-12 cases; MC0532-57 cases). Characteristics of the two groups are shown in the table below. Using either density estimation method, there was a greater decrease in density among women on AI therapy vs. matched controls. In 33% (95% CI: 29-37%) of pairs, there was at least a one greater category decrease for the case relative to her control by subjective estimation. In 14% (95% CI: 11-18%) of the pairs, there was at least a 5% greater decrease for the case relative to her control by quantitative estimation. Data will be available according to AI class (non-steroidal versus steroidal) in November. Conclusions: In the largest report to date to examine the influence of AI therapy on mammographic density, we provide evidence that AI is associated with decreases in density in a small subgroup of women. We are currently examining factors that influence these AI-associated decreases in density and whether these differences are unique to one class of AI. (Supported in part by NIH grants P50CA116201, U01GM61388, U10CA77202, U10CA25224) Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr P2-09-03.

Clinical data captured in electronic medical records accurately identify cases and controls for genome-wide association studies.

OBJECTIVE The metabolic syndrome (MetS) is defined as concomitant disorders of lipid and glucose metabolism, central obesity, and high blood pressure, with an increased risk of type 2 diabetes and cardiovascular disease. This study tests whether common genetic variants with pleiotropic effects account for some of the correlated architecture among five metabolic phenotypes that define MetS. RESEARCH DESIGN AND METHODS Seven studies of the STAMPEED consortium, comprising 22,161 participants of European ancestry, underwent genome-wide association analyses of metabolic traits using a panel of ∼2.5 million imputed single nucleotide polymorphisms (SNPs). Phenotypes were defined by the National Cholesterol Education Program (NCEP) criteria for MetS in pairwise combinations. Individuals exceeding the NCEP thresholds for both traits of a pair were considered affected. RESULTS Twenty-nine common variants were associated with MetS or a pair of traits. Variants in the genes LPL, CETP, APOA5 (and its cluster), GCKR (and its cluster), LIPC, TRIB1, LOC100128354/MTNR1B, ABCB11, and LOC100129150 were further tested for their association with individual qualitative and quantitative traits. None of the 16 top SNPs (one per gene) associated simultaneously with more than two individual traits. Of them 11 variants showed nominal associations with MetS per se. The effects of 16 top SNPs on the quantitative traits were relatively small, together explaining from ∼9% of the variance in triglycerides, 5.8% of high-density lipoprotein cholesterol, 3.6% of fasting glucose, and 1.4% of systolic blood pressure. CONCLUSIONS Qualitative and quantitative pleiotropic tests on pairs of traits indicate that a small portion of the covariation in these traits can be explained by the reported common genetic variants.

Abstract To clarify the role of previous lung diseases (PLDs) (chronic bronchitis, emphysema, pneumonia, tuberculosis, asbestosis and silicosis) in the development of lung cancer we conducted a pooled analysis in the International Lung Cancer Consortium (ILCCO). Data from 16 studies (9 population based case-control, 4 hospital based case-control, 2 mixed case-control and 1 cohort - 10 from North America, 5 from Europe and 1 from Asia) were pooled, including 24044 cases and 81256 controls. Study-specific effect estimates were derived using logistic regression models for case-control studies and Cox proportional hazards models for cohort studies adjusted for age, sex, education and pack-years of smoking. Effect estimates were then pooled using random effects models where summary effects for each of the PLDs were evaluated separately. Stratified analyses were conducted based on smoking status, histology and study design or control source. Heterogeneity was evaluated using the Cochrane Q statistic and Galbraith plots, and publication bias was evaluated using funnel plots as well as the Begg test. A previous history of emphysema conferred a relative risk (RR) of 2.17, 95% confidence interval (CI): 1.67-2.82 (from 15 studies, p-het<.001). A previous history of chronic bronchitis conferred a RR of 1.49, 95% CI: 1.33-1.60 (from 12 studies, p-het.=0.434). Tuberculosis was associated with a RR of 1.54, 95% CI: 1.19-1.99 (from 15 studies, p-het.=0.001). Both asbestosis (RR 2.51, 95% CI: 1.53-4.12 (from 7 studies, p-het=0.379)) and silicosis (RR 1.70, 95% CI: 1.15-2.54, (from 3 studies, p-het. p=0.476)) were also associated with lung cancer risk. When the outlying studies were removed, effect estimates changed minimally and heterogeneity was reduced. Findings were consistent in subgroup analyses by smoking status and histology (adenocarcinoma, squamous cell carcinoma and small cell lung cancer). Effect estimates among never smokers were for emphysema a RR of 2.21, 95% CI: 0.99-4.90 (from 8 studies), for chronic bronchitis 1.12, 95% CI: 0.78-1.62 (from 9 studies), for pneumonia 1.37, 95% CI: 1.10-1.70 (from 10 studies) and for tuberculosis 1.54, 95% CI: 0.99-2.39 (from 9 studies). In this analysis of data from multiple continents, PLDs were associated with an increased risk of lung cancer. The evidence among never smokers supports a direct relationship between previous lung diseases and lung cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4826.

AbstractA panel of members of the 2009 International Myeloma Workshop developed guidelines for standard investigative workup of patients with suspected multiple myeloma. Both serum and urine should be assessed for monoclonal protein. Measurement of monoclonal protein both by densitometer tracing and/by nephelometric quantitation is recommended, and immunofixation is required for confirmation. The serum-free light chain assay is recommended in all newly diagnosed patients with plasma cell dyscrasias. Bone marrow aspiration and/or biopsy along with demonstration of clonality of plasma cells are necessary. Serum β2-microglobulin, albumin, and lactate dehydrogenase are necessary for prognostic purposes. Standard metaphase cytogenetics and fluorescent in situ hybridization for 17p, t(4;14), and t(14;16) are recommended. The skeletal survey remains the standard method for imaging screening, but magnetic resonance imaging frequently provides valuable diagnostic and prognostic information. Most of these tests are repeated during follow-up or at relapse.