A comparison of indices of glucose metabolism in five black populations: data from modeling the epidemiologic transition study (METS).

BACKGROUND: Globally, Africans and African Americans experience a disproportionate burden of type 2 diabetes, compared to other race and ethnic groups. The aim of the study was to examine the association of plasma glucose with indices of glucose metabolism in young adults of African origin from 5 different countries. METHODS: We identified participants from the Modeling the Epidemiologic Transition Study, an international study of weight change and cardiovascular disease (CVD) risk in five populations of African origin: USA (US), Jamaica, Ghana, South Africa, and Seychelles. For the current study, we included 667 participants (34.8 ± 6.3 years), with measures of plasma glucose, insulin, leptin, and adiponectin, as well as moderate and vigorous physical activity (MVPA, minutes/day [min/day]), daily sedentary time (min/day), anthropometrics, and body composition. RESULTS: Among the 282 men, body mass index (BMI) ranged from 22.1 to 29.6 kg/m(2) in men and from 25.8 to 34.8 kg/m(2) in 385 women. MVPA ranged from 26.2 to 47.1 min/day in men, and from 14.3 to 27.3 min/day in women and correlated with adiposity (BMI, waist size, and % body fat) only among US males after controlling for age. Plasma glucose ranged from 4.6 ± 0.8 mmol/L in the South African men to 5.8 mmol/L US men, while the overall prevalence for diabetes was very low, except in the US men and women (6.7 and 12 %, respectively). Using multivariate linear regression, glucose was associated with BMI, age, sex, smoking hypertension, daily sedentary time but not daily MVPA. CONCLUSION: Obesity, metabolic risk, and other potential determinants vary significantly between populations at differing stages of the epidemiologic transition, requiring tailored public health policies to address local population characteristics.

Association of car ownership and physical activity across the spectrum of human development : Modeling the Epidemiologic Transition Study (METS).

BACKGROUND: Variations in physical activity (PA) across nations may be driven by socioeconomic position. As national incomes increase, car ownership becomes within reach of more individuals. This report characterizes associations between car ownership and PA in African-origin populations across 5 sites at different levels of economic development and with different transportation infrastructures: US, Seychelles, Jamaica, South Africa, and Ghana. METHODS: Twenty-five hundred adults, ages 25-45, were enrolled in the study. A total of 2,101 subjects had valid accelerometer-based PA measures (reported as average daily duration of moderate to vigorous PA, MVPA) and complete socioeconomic information. Our primary exposure of interest was whether the household owned a car. We adjusted for socioeconomic position using household income and ownership of common goods. RESULTS: Overall, PA levels did not vary largely between sites, with highest levels in South Africa, lowest in the US. Across all sites, greater PA was consistently associated with male gender, fewer years of education, manual occupations, lower income, and owning fewer material goods. We found heterogeneity across sites in car ownership: after adjustment for confounders, car owners in the US had 24.3 fewer minutes of MVPA compared to non-car owners in the US (20.7 vs. 45.1 minutes/day of MVPA); in the non-US sites, car-owners had an average of 9.7 fewer minutes of MVPA than non-car owners (24.9 vs. 34.6 minutes/day of MVPA). CONCLUSIONS: PA levels are similar across all study sites except Jamaica, despite very different levels of socioeconomic development. Not owning a car in the US is associated with especially high levels of MVPA. As car ownership becomes prevalent in the developing world, strategies to promote alternative forms of active transit may become important.

Patients with non-insulin depending diabetes mellitus and metabolic syndrome are suboptimal treated in swiss primary care.

The prevalence of complicated hypertension is increasing in America and Europe. This survey was undertaken to assess the status quo of primary care management of hypertension in patients with the high-risk comorbid diseases metabolic syndrome (MetS) and/or type 2 diabetes mellitus (non-insulin depending diabetes mellitus (NIDDM)). Data of anti-hypertensive treatment of 4594 Swiss patients were collected over 1 week. We identified patients with exclusively NIDDM (N = 95), MetS (N = 168), and both (N = 768). Target blood pressure (TBP) attainment, frequency of prescribed substance-classes, and correlations to comorbidities/end-organ damages were assessed. In addition, we analyzed the prescription of unfavorable beta-blockers (BB) and high-dose diuretics (Ds). In NIDDM, Ds (61%), angiotensin receptor blockers (ARBs) (40%), and angiotensin converting enzyme inhibitors (ACEIs) (31%) were mostly prescribed, while in MetS, drugs prevalence was Ds (68%), ARBs (48%), and BB (41%). Polypharmacy in patients with MetS correlated with body mass index; older patients (>65 years) were more likely to receive dual-free combinations. TBP was attained in 25.2% of NIDDM and in 28.7% of MetS patients. In general, low-dose Ds use was more prevalent in NIDDM and MetS, however, overall, Ds were used excessively (NIDDM: 61%, MetS: 68%), especially in single-pill combination. Patients with MetS were more likely to receive ARBs, ACEIs, CCBs, and low-dose Ds than BBs and/or high-dose Ds. Physicians recognize DM and MetS as high-risk patients, but select inappropriate drugs. Because the majority of patients may have both, MetS and NIDDM, there is an unmet need to define TBP for this specific population considering the increased risk in comparison to patients with MetS or NIDDM alone.

Pregnancy-related changes in activity energy expenditure and resting metabolic rate in Switzerland.

BACKGROUND/OBJECTIVES: To measure resting metabolic rate (RMR), activity energy expenditure (AEE), total energy expenditure (TEE) and physical activity pattern, that is, duration and intensity (in metabolic equivalents, METs) of activities performed in late pregnancy compared with postpartum in healthy, well-nourished women living in Switzerland. SUBJECTS/METHODS: Weight, height, RMR, AEE, TEE and physical activity patterns were measured longitudinally in 27 healthy women aged 23-40 years at 38.2+/-1.5 weeks of gestation and 40.0+/-7.2 weeks postpartum. RESULTS: The RMR during late pregnancy was 7480 kJ per day, that is, 1320+/-760 kJ per day (21.4%) higher than the postpartum RMR (P<0.001). Absolute changes in RMR were positively correlated with the corresponding changes in body weight (r=0.61, P<0.001). RMR per kg body weight was similar in late pregnancy vs postpartum (P=0.28). AEE per kg during pregnancy and postpartum was 40+/-13 and 50+/-20 kJ/kg, respectively (P=0.001). There were significant differences in daily time spent at METs<1.5 (1067 vs 998 min, P=0.045), at 2.5< or =METs <3.0 (58 vs 82 min, P=0.002) and METs> or =6 (1 vs 6 min, P=0.014) during pregnancy and postpartum, respectively. CONCLUSIONS: Energy expenditure in healthy women living in Switzerland increases in pregnancy compared with the postpartum state. Additional energy expenditure is primarily attributed to an increase in RMR, which is partly compensated by a decrease in AEE. The decrease in physical activity-related energy costs is achieved by selecting less demanding activities and should be taken into account when defining extra energy requirements for late pregnancy in Switzerland.

Thyroid function and prevalent and incident metabolic syndrome in older adults: the Health, Ageing and Body Composition Study.

OBJECTIVE: Both subclinical hypothyroidism and the metabolic syndrome have been associated with increased risk of coronary heart disease events. It is unknown whether the prevalence and incidence of metabolic syndrome is higher as TSH levels increase, or in individuals with subclinical hypothyroidism. We sought to determine the association between thyroid function and the prevalence and incidence of the metabolic syndrome in a cohort of older adults. DESIGN: Data were analysed from the Health, Ageing and Body Composition Study, a prospective cohort of 3075 community-dwelling US adults. PARTICIPANTS: Two thousand one hundred and nineteen participants with measured TSH and data on metabolic syndrome components were included in the analysis. MEASUREMENTS: TSH was measured by immunoassay. Metabolic syndrome was defined per revised ATP III criteria. RESULTS: At baseline, 684 participants met criteria for metabolic syndrome. At 6-year follow-up, incident metabolic syndrome developed in 239 individuals. In fully adjusted models, each unit increase in TSH was associated with a 3% increase in the odds of prevalent metabolic syndrome (OR, 1.03; 95% CI, 1.01-1.06; P = 0.02), and the association was stronger for TSH within the normal range (OR, 1.16; 95% CI, 1.03-1.30; P = 0.02). Subclinical hypothyroidism with a TSH > 10 mIU/l was significantly associated with increased odds of prevalent metabolic syndrome (OR, 2.3; 95% CI, 1.0-5.0; P = 0.04); the odds of incident MetS was similar (OR 2.2), but the confidence interval was wide (0.6-7.5). CONCLUSIONS: Higher TSH levels and subclinical hypothyroidism with a TSH > 10 mIU/l are associated with increased odds of prevalent but not incident metabolic syndrome.

Metabolic syndrome and the risk of breast cancer in postmenopausal women.

BACKGROUND: Only a few small studies investigated the association between postmenopausal breast cancer and metabolic syndrome (MetS) as a single entity. Materials and methods: We analyzed the data of two Italian and Swiss case-control studies conducted between 1983 and 2007, including 3869 postmenopausal women with incident breast cancer and 4082 postmenopausal controls admitted to the same hospitals as cases for acute conditions. MetS was defined as the presence of at least three components among diabetes, drug-treated hypertension, drug-treated hyperlipidemia, and obesity. RESULTS: The odds ratios (ORs) of postmenopausal breast cancer were 1.33 [95% confidence interval (CI) 1.09-1.62] for diabetes, 1.19 (95% CI 1.07-1.33) for hypertension, 1.08 (95% CI 0.95-1.22) for hyperlipidemia, 1.26 (95% CI 1.11-1.44) for body mass index ≥30 kg/m(2), and 1.22 (95% CI 1.09-1.36) for waist circumference ≥88 cm. The risk of postmenopausal breast cancer was significantly increased for women with MetS (OR = 1.75, 95% CI 1.37-2.22, for three or more MetS components, P for trend for increasing number of components < 0.0001) and the risk was higher at older age (OR = 3.04, 95% CI 1.75-5.29, at age ≥70 years for three or more MetS components). CONCLUSIONS: This study supports a direct association between MetS and postmenopausal breast cancer risk.

Impact of HSD11B1 polymorphisms on BMI and components of the metabolic syndrome in patients receiving psychotropic treatments.

BACKGROUND: Metabolic syndrome (MetS) associated with psychiatric disorders and psychotropic treatments represents a major health issue. 11β-Hydroxysteroid dehydrogenase type 1 (11β-HSD1) is an enzyme that catalyzes tissue regeneration of active cortisol from cortisone. Elevated enzymatic activity of 11β-HSD1 may lead to the development of MetS. METHODS: We investigated the association between seven HSD11B1 gene (encoding 11β-HSD1) polymorphisms and BMI and MetS components in a psychiatric sample treated with potential weight gain-inducing psychotropic drugs (n=478). The polymorphisms that survived Bonferroni correction were analyzed in two independent psychiatric samples (nR1=168, nR2=188) and in several large population-based samples (n1=5338; n2=123 865; n3>100 000). RESULTS: HSD11B1 rs846910-A, rs375319-A, and rs4844488-G allele carriers were found to be associated with lower BMI, waist circumference, and diastolic blood pressure compared with the reference genotype (Pcorrected<0.05). These associations were exclusively detected in women (n=257) with more than 3.1 kg/m, 7.5 cm, and 4.2 mmHg lower BMI, waist circumference, and diastolic blood pressure, respectively, in rs846910-A, rs375319-A, and rs4844488-G allele carriers compared with noncarriers (Pcorrected<0.05). Conversely, carriers of the rs846906-T allele had significantly higher waist circumference and triglycerides and lower high-density lipoprotein-cholesterol exclusively in men (Pcorrected=0.028). The rs846906-T allele was also associated with a higher risk of MetS at 3 months of follow-up (odds ratio: 3.31, 95% confidence interval: 1.53-7.17, Pcorrected=0.014). No association was observed between HSD11B1 polymorphisms and BMI and MetS components in the population-based samples. CONCLUSIONS: Our results indicate that HSD11B1 polymorphisms may contribute toward the development of MetS in psychiatric patients treated with potential weight gain-inducing psychotropic drugs, but do not play a significant role in the general population.

Protocol for the modeling the epidemiologic transition study: a longitudinal observational study of energy balance and change in body weight, diabetes and cardiovascular disease risk.

ABSTRACT: BACKGROUND: The prevalence of obesity has increased in societies of all socio-cultural backgrounds. To date, guidelines set forward to prevent obesity have universally emphasized optimal levels of physical activity. However there are few empirical data to support the assertion that low levels of energy expenditure in activity is a causal factor in the current obesity epidemic are very limited. METHODS: The Modeling the Epidemiologic Transition Study (METS) is a cohort study designed to assess the association between physical activity levels and relative weight, weight gain and diabetes and cardiovascular disease risk in five population-based samples at different stages of economic development. Twenty-five hundred young adults, ages 25-45, were enrolled in the study; 500 from sites in Ghana, South Africa, Seychelles, Jamaica and the United States. At baseline, physical activity levels were assessed using accelerometry and a questionnaire in all participants and by doubly labeled water in a subsample of 75 per site. We assessed dietary intake using two separate 24-h recalls, body composition using bioelectrical impedance analysis, and health history, social and economic indicators by questionnaire. Blood pressure was measured and blood samples collected for measurement of lipids, glucose, insulin and adipokines. Full examination including physical activity using accelerometry, anthropometric data and fasting glucose will take place at 12 and 24 months. The distribution of the main variables and the associations between physical activity, independent of energy intake, glucose metabolism and anthropometric measures will be assessed using cross-section and longitudinal analysis within and between sites. DISCUSSION: METS will provide insight on the relative contribution of physical activity and diet to excess weight, age-related weight gain and incident glucose impairment in five populations' samples of young adults at different stages of economic development. These data should be useful for the development of empirically-based public health policy aimed at the prevention of obesity and associated chronic diseases.

Evolutionary games on complex networks : the emergence and maintenance of cooperation

Abstract The object of game theory lies in the analysis of situations where different social actors have conflicting requirements and where their individual decisions will all influence the global outcome. In this framework, several games have been invented to capture the essence of various dilemmas encountered in many common important socio-economic situations. Even though these games often succeed in helping us understand human or animal behavior in interactive settings, some experiments have shown that people tend to cooperate with each other in situations for which classical game theory strongly recommends them to do the exact opposite. Several mechanisms have been invoked to try to explain the emergence of this unexpected cooperative attitude. Among them, repeated interaction, reputation, and belonging to a recognizable group have often been mentioned. However, the work of Nowak and May (1992) showed that the simple fact of arranging the players according to a spatial structure and only allowing them to interact with their immediate neighbors is sufficient to sustain a certain amount of cooperation even when the game is played anonymously and without repetition. Nowak and May's study and much of the following work was based on regular structures such as two-dimensional grids. Axelrod et al. (2002) showed that by randomizing the choice of neighbors, i.e. by actually giving up a strictly local geographical structure, cooperation can still emerge, provided that the interaction patterns remain stable in time. This is a first step towards a social network structure. However, following pioneering work by sociologists in the sixties such as that of Milgram (1967), in the last few years it has become apparent that many social and biological interaction networks, and even some technological networks, have particular, and partly unexpected, properties that set them apart from regular or random graphs. Among other things, they usually display broad degree distributions, and show small-world topological structure. Roughly speaking, a small-world graph is a network where any individual is relatively close, in terms of social ties, to any other individual, a property also found in random graphs but not in regular lattices. However, in contrast with random graphs, small-world networks also have a certain amount of local structure, as measured, for instance, by a quantity called the clustering coefficient. In the same vein, many real conflicting situations in economy and sociology are not well described neither by a fixed geographical position of the individuals in a regular lattice, nor by a random graph. Furthermore, it is a known fact that network structure can highly influence dynamical phenomena such as the way diseases spread across a population and ideas or information get transmitted. Therefore, in the last decade, research attention has naturally shifted from random and regular graphs towards better models of social interaction structures. The primary goal of this work is to discover whether or not the underlying graph structure of real social networks could give explanations as to why one finds higher levels of cooperation in populations of human beings or animals than what is prescribed by classical game theory. To meet this objective, I start by thoroughly studying a real scientific coauthorship network and showing how it differs from biological or technological networks using divers statistical measurements. Furthermore, I extract and describe its community structure taking into account the intensity of a collaboration. Finally, I investigate the temporal evolution of the network, from its inception to its state at the time of the study in 2006, suggesting also an effective view of it as opposed to a historical one. Thereafter, I combine evolutionary game theory with several network models along with the studied coauthorship network in order to highlight which specific network properties foster cooperation and shed some light on the various mechanisms responsible for the maintenance of this same cooperation. I point out the fact that, to resist defection, cooperators take advantage, whenever possible, of the degree-heterogeneity of social networks and their underlying community structure. Finally, I show that cooperation level and stability depend not only on the game played, but also on the evolutionary dynamic rules used and the individual payoff calculations. Synopsis Le but de la théorie des jeux réside dans l'analyse de situations dans lesquelles différents acteurs sociaux, avec des objectifs souvent conflictuels, doivent individuellement prendre des décisions qui influenceront toutes le résultat global. Dans ce cadre, plusieurs jeux ont été inventés afin de saisir l'essence de divers dilemmes rencontrés dans d'importantes situations socio-économiques. Bien que ces jeux nous permettent souvent de comprendre le comportement d'êtres humains ou d'animaux en interactions, des expériences ont montré que les individus ont parfois tendance à coopérer dans des situations pour lesquelles la théorie classique des jeux prescrit de faire le contraire. Plusieurs mécanismes ont été invoqués pour tenter d'expliquer l'émergence de ce comportement coopératif inattendu. Parmi ceux-ci, la répétition des interactions, la réputation ou encore l'appartenance à des groupes reconnaissables ont souvent été mentionnés. Toutefois, les travaux de Nowak et May (1992) ont montré que le simple fait de disposer les joueurs selon une structure spatiale en leur permettant d'interagir uniquement avec leurs voisins directs est suffisant pour maintenir un certain niveau de coopération même si le jeu est joué de manière anonyme et sans répétitions. L'étude de Nowak et May, ainsi qu'un nombre substantiel de travaux qui ont suivi, étaient basés sur des structures régulières telles que des grilles à deux dimensions. Axelrod et al. (2002) ont montré qu'en randomisant le choix des voisins, i.e. en abandonnant une localisation géographique stricte, la coopération peut malgré tout émerger, pour autant que les schémas d'interactions restent stables au cours du temps. Ceci est un premier pas en direction d'une structure de réseau social. Toutefois, suite aux travaux précurseurs de sociologues des années soixante, tels que ceux de Milgram (1967), il est devenu clair ces dernières années qu'une grande partie des réseaux d'interactions sociaux et biologiques, et même quelques réseaux technologiques, possèdent des propriétés particulières, et partiellement inattendues, qui les distinguent de graphes réguliers ou aléatoires. Entre autres, ils affichent en général une distribution du degré relativement large ainsi qu'une structure de "petit-monde". Grossièrement parlant, un graphe "petit-monde" est un réseau où tout individu se trouve relativement près de tout autre individu en termes de distance sociale, une propriété également présente dans les graphes aléatoires mais absente des grilles régulières. Par contre, les réseaux "petit-monde" ont, contrairement aux graphes aléatoires, une certaine structure de localité, mesurée par exemple par une quantité appelée le "coefficient de clustering". Dans le même esprit, plusieurs situations réelles de conflit en économie et sociologie ne sont pas bien décrites ni par des positions géographiquement fixes des individus en grilles régulières, ni par des graphes aléatoires. De plus, il est bien connu que la structure même d'un réseau peut passablement influencer des phénomènes dynamiques tels que la manière qu'a une maladie de se répandre à travers une population, ou encore la façon dont des idées ou une information s'y propagent. Ainsi, durant cette dernière décennie, l'attention de la recherche s'est tout naturellement déplacée des graphes aléatoires et réguliers vers de meilleurs modèles de structure d'interactions sociales. L'objectif principal de ce travail est de découvrir si la structure sous-jacente de graphe de vrais réseaux sociaux peut fournir des explications quant aux raisons pour lesquelles on trouve, chez certains groupes d'êtres humains ou d'animaux, des niveaux de coopération supérieurs à ce qui est prescrit par la théorie classique des jeux. Dans l'optique d'atteindre ce but, je commence par étudier un véritable réseau de collaborations scientifiques et, en utilisant diverses mesures statistiques, je mets en évidence la manière dont il diffère de réseaux biologiques ou technologiques. De plus, j'extrais et je décris sa structure de communautés en tenant compte de l'intensité d'une collaboration. Finalement, j'examine l'évolution temporelle du réseau depuis son origine jusqu'à son état en 2006, date à laquelle l'étude a été effectuée, en suggérant également une vue effective du réseau par opposition à une vue historique. Par la suite, je combine la théorie évolutionnaire des jeux avec des réseaux comprenant plusieurs modèles et le réseau de collaboration susmentionné, afin de déterminer les propriétés structurelles utiles à la promotion de la coopération et les mécanismes responsables du maintien de celle-ci. Je mets en évidence le fait que, pour ne pas succomber à la défection, les coopérateurs exploitent dans la mesure du possible l'hétérogénéité des réseaux sociaux en termes de degré ainsi que la structure de communautés sous-jacente de ces mêmes réseaux. Finalement, je montre que le niveau de coopération et sa stabilité dépendent non seulement du jeu joué, mais aussi des règles de la dynamique évolutionnaire utilisées et du calcul du bénéfice d'un individu.

Impact de l'organisation institutionnelle sur le déficit protéino-énergétique des patients dialysés hospitalisés

Introduction et but de l'étude. - Le Nutrition Day 2010 réalisédans le service de dialyse aiguë de notre CHU a montré un taux dedénutrition de 64 % chez le patient dialysé hospitalisé avec un déficitnutritionnel moyen le jour de dialyse de 1 000 kcal et 45 g deprotéines. Les horaires de repas dans l'unité d'hospitalisation et dedialyse au centre de dialyse se chevauchent. Le but de cette étude estd'évaluer l'impact de l'organisation institutionnelle sur l'apportprotéino-énergétique du patient hémodialysé hospitalisé.Matériel et Méthodes. - Étude exploratoire et transversale. Laconsommation alimentaire et les obstacles potentiels à l'alimentationd'origine logistique ont été relevés durant deux jours consécutifs,un jour de dialyse (JD) et un jour sans dialyse (JSD). Les motifsde non consommation ou de consommation partielle des repas etcollations ont été relevés auprès des patients immédiatement aprèsles repas principaux, au moyen d'entretiens semi-dirigés. Lesingesta ont été comparés aux besoins protéino-énergétiques pour lespatients hémodialysés (ESPEN, 2006). Une évaluation nutritionnellea été réalisée chez tous les patients.Résultats. - Vingt-six patients (85 % d'hommes) ont été inclus,âgés de 65,7 ± 10,6 ans (moy ± ET). Le BMI moyen est de 24,9± 5,9 kg/m2, le score de Charlson de 7,2 ± 2,7 et 54 % ont un NRS-2002 ≥ 3. Plus de deux tiers des patients (68 %) ont perdu du poidset 64 % sont dénutris. Au total, 147 repas et 56 collations ont été étudiés,dont 74 repas et 32 collations pour le JD. Le JD, 56 % des collationsne sont pas consommées contre 21 % le JSD. La couverturemoyenne des besoins énergétiques et protéiques le JD est respectivementde 48 % et 57 %, sans différence avec le JSD. Les motifs denon consommation les plus fréquemment cités sont, par ordredécroissant : satiété précoce, inappétence, dégoût des mets proposés,peurs et représentations alimentaires et mises à jeun pour procéduresmédicales. Ils sont identiques les JD et les JSD. Lesobstacles à l'alimentation inhérents au patient sont 2,6 fois plus fréquentsque ceux liés à l'organisation hospitalière. Une douleur(légère à modérée), une dyspnée et une xérostomie affectent respectivement100 %, 54 % et 48 % des patients, qui ne considèrent pasces symptômes comme une cause de non consommation alimentaire.Conclusion. - Les apports protéino-énergétiques sont insuffisantset près de deux tiers des sujets sont dénutris. L'organisationhospitalière n'est pas identifiée par les patients comme un obstacleexpliquant le déficit énergétique et protéique quotidien. Les obstaclesà l'alimentation orale sont principalement inhérents à l'état desanté des patients. L'instauration d'une alimentation spécifique auxpatients dialysés hospitalisés (« humide », fractionnée, enrichie enprotéines et en énergie) de même que la prescription plus systématiqued'un support nutritionnel devraient contribuer à la couverturede leurs besoins nutritionnels.

Cetuximab In Combination With Docetaxel In Patients (Pts) With Metastatic Castration Resistant (Mcrpc) And Docetaxel-Refractory Prostate Cancer: Final Analysis Of The Multicenter Phase Ii Trial Sakk 08/07

There is no registered treatment (ttr) for pts with mCRPC who have progressive disease during or shortly after docetaxel (doc). EGFR overexpression increases in prostate cancer during the course of the disease. We investigated efficacy and safety of the combination of the monoclonal EGFR antibody cetuximab (cet) and doc in pts with mCRPC who are doc-refractory. Methods: Pts with mCRPC progressing during or < 90 days after at least 12 weeks of doc were included. Ttr consisted of the same doc regimen as prior to progression (35mg/m2 d1,8,15 q4w or 75mg/m2 q3w) in combination with cet (400mg/m2 d1, then 250mg/m2 weekly). Primary endpoint was progression free survival (PFS) at 12 weeks defined as absence of PSA progression or progression of metastases (mets). Secondary endpoints included toxicity, PFS at 24 weeks, PSA response, response of measureable disease and overall survival. 35 pts were needed in a Simon's two stage optimal design with a power of 90% and a significance level of 5% in order to test PFS rate at 12 weeks of £10% vs ?30%. Results: 35 evaluable pts were enrolled at 15 Swiss centers between 7/08 and 9/09. Median follow up was 14.8 months. Confirmed PFS at 12 weeks was 34% (95%CI 19-52%), PFS at 24 weeks was 20% and overall survival was 12.0 months (95%CI 7.1 -15.6). 20% (7/35) had a confirmed decline in PSA ? 50% and 31% (11/35) had a confirmed PSA decline ? 30%. Of pts with measurable disease (n=24) PR, SD and PD at week 12 was 4%, 54% and 25%, respectively (17% not evaluable). 3/9 (33%) pts with PDduring last doc ttr before inclusion reached the primary endpoint compared to 7/18 (39%) with PR or SD to last doc. 54% of evaluable pts experienced grade 3 and 6% grade 4 toxicity. Discussion: The result of the primary endpoint was promising in this first trial to test cet in combination with doc in pts with docetaxel-refractory mCRPC. Because this goal was achieved in such a highly pretreated pts population it appears that inhibition of the EGFR pathway may play a more important and persistent role in the treatment of prostate cancer than perceived so far. Further research is therefore warranted. Disclosure: R. Cathomas: - Membership on advisory board for sanofi aventis (suisse) and Merck. S. Gillessen: - Membership in advisory board for Sanofi Aventis. All other authors have declared no conflicts of interest.

Metabolic syndrome is associated with colorectal cancer in men.

AIM OF THE STUDY: We assessed the relation between metabolic syndrome (MetS) and its components and colorectal cancer. METHODS: We analysed data from a multicentre case-control study conducted in Italy and Switzerland, including 1378 cases of colon cancer, 878 cases of rectal cancer and 4661 controls. All cases were incident and histologically confirmed. Controls were subjects admitted to the same hospitals as cases with acute non-malignant conditions. MetS was defined according to the International Diabetes Federation criteria. Odds ratios (ORs) and the corresponding 95% confidence intervals (CIs) were estimated by multiple logistic regression models, including terms for major identified confounding factors for colorectal cancer. RESULTS: With reference to each component of the MetS, the ORs of colorectal cancer in men were 1.27 (95% CI, 0.95-1.69) for diabetes, 1.24 (95% CI, 1.03-1.48) for hypertension, 1.14 (95% CI, 0.93-1.40) for hypercholesterolaemia and 1.26 (95% CI, 1.08-1.48) for overweight at age 30. The corresponding ORs in women were 1.20 (95% CI, 0.82-1.75), 0.87 (95% CI, 0.71-1.06), 0.83 (95% CI, 0.66-1.03) and 1.06 (95% CI, 0.86-1.30). Colorectal cancer risk was increased in men (OR=1.86; 95% CI, 1.21-2.86), but not in women (OR=1.13; 95% CI, 0.66-1.93), with MetS. The ORs were 2.09 (95% CI, 1.38-3.18) in men and 1.15 (95% CI, 0.68-1.94) in women with > or =3 components of the MetS, as compared to no component. Results were similar for colon and rectal cancers. CONCLUSION: This study supports a direct association between MetS and both colon and rectal cancers in men, but not in women.

Bioinformatics-driven identification and examination of candidate genes for non-alcoholic fatty liver disease.

ObjectiveCandidate genes for non-alcoholic fatty liver disease (NAFLD) identified by a bioinformatics approach were examined for variant associations to quantitative traits of NAFLD-related phenotypes.Research Design and MethodsBy integrating public database text mining, trans-organism protein-protein interaction transferal, and information on liver protein expression a protein-protein interaction network was constructed and from this a smaller isolated interactome was identified. Five genes from this interactome were selected for genetic analysis. Twenty-one tag single-nucleotide polymorphisms (SNPs) which captured all common variation in these genes were genotyped in 10,196 Danes, and analyzed for association with NAFLD-related quantitative traits, type 2 diabetes (T2D), central obesity, and WHO-defined metabolic syndrome (MetS).Results273 genes were included in the protein-protein interaction analysis and EHHADH, ECHS1, HADHA, HADHB, and ACADL were selected for further examination. A total of 10 nominal statistical significant associations (P<0.05) to quantitative metabolic traits were identified. Also, the case-control study showed associations between variation in the five genes and T2D, central obesity, and MetS, respectively. Bonferroni adjustments for multiple testing negated all associations.ConclusionsUsing a bioinformatics approach we identified five candidate genes for NAFLD. However, we failed to provide evidence of associations with major effects between SNPs in these five genes and NAFLD-related quantitative traits, T2D, central obesity, and MetS.