Rôles de K-RAS et de ERCC1 dans le traitement des carcinomes épidermoïdes avancés de la tête et du cou traités par chimioradiothérapie concomitante

Introduction: Les mutations du gène RAS sont présentes dans plusieurs types de cancers et ont une influence sur la réponse à la chimiothérapie. Excision repair cross- complementation group 1 (ERCC1) est un gène impliqué dans la réparation de l’acide désoxyribonucléique (ADN), et son polymorphisme au codon 118 est également associé à la réponse au traitement. Le peu d’études pronostiques portant sur ces deux gènes dans les cancers oto-rhino-laryngologiques (ORL) ne permet de tirer des conclusions claires. Objectifs: Déterminer l’influence des mutations de K-RAS codons 12 et 13 et du polymorphisme de ERCC1 codon 118 dans le traitement des cancers épidermoïdes avancés tête et cou traités par chimioradiothérapie concomitante à base de sels de platine. Méthode: Extraction de l’ADN provenant de spécimens de biopsie de patients traités par chimioradiothérapie concomitante pour des cancers avancés tête et cou, et ayant un suivi prospectif d’au moins deux ans. Identification des mutations de K-RAS codons 12 et 13 et du polymorphisme de ERCC1 au codon 118 dans les spécimens et corrélation de ces marqueurs avec la réponse au traitement. Résultats: Les mutations de K-RAS codon 12 sont associées à un moins bon contrôle loco-régional par rapport aux tumeurs ne démontrant pas la mutation (32% vs 83% p=0.03), sans affecter pour autant la survie globale. Aucune mutation de K-RAS codon 13 n’a été identifiée. Les différents polymorphismes de ERCC1 n’ont pas eu d’impact sur la réponse au traitement. Conclusion: Les mutations de K-RAS codons 12 et 13 et le polymorphisme de ERCC1 au codon 118 ne semblent pas mettre en évidence les patients qui bénéficieraient d’une autre modalité thérapeutique.

Étude pharmacogénomique de la warfarine et de l'activité physique

La warfarine est un médicament anticoagulant possédant un faible index thérapeutique et une grande variabilité intra et interindividuelle dans la réponse au traitement. Les facteurs déterminants de la réponse à la warfarine ne sont pas tous connus et la présente étude vise à tester l'hypothèse que la pratique régulière d’activité physique puisse y être associée. Nous avons évalué si l’activité physique, mesurée à l’aide de 2 questionnaires différents, était associée à la dose de warfarine et au pourcentage de temps passé à l'intérieur de l'intervalle thérapeutique ciblé (time in therapeutic range : TTR). L’étude a été menée chez les 1064 participants de la Cohorte warfarine de l’Institut de Cardiologie de Montréal (ICM) et chez 618 utilisateurs de warfarine issus de la Biobanque de l’ICM. Nous avons trouvé que, dans les deux cohortes, les patients actifs nécessitaient une dose hebdomadaire moyenne plus élevée que les patients inactifs. L’association perdurait lorsque le modèle statistique était ajusté pour différentes variables connues pour influencer la réponse à la warfarine, telles que le génotype aux gènes CYP2C9 et VKORC1, l’âge, la taille, le poids, et l’INR ciblé. L’INR ciblé est décidé par le médecin et il correspond généralement à 2,0 – 3,0 ou 2,5 – 3,5. Les patients de la Cohorte warfarine avaient aussi plus de chances d’avoir un TTR inférieur à 60%, donc d’être moins stables. La pratique régulière d’activité physique est donc un facteur déterminant de la dose thérapeutique de warfarine et la pratique d'activité physique intensive est associée à un TTR plus faible.

“Reconstruction of Gene Regulatory Network from Expression Profile of Plasma RNA Data of Colorectal Cancer Patients using Soft Computing Techniques”

Microarray data analysis is one of data mining tool which is used to extract meaningful information hidden in biological data. One of the major focuses on microarray data analysis is the reconstruction of gene regulatory network that may be used to provide a broader understanding on the functioning of complex cellular systems. Since cancer is a genetic disease arising from the abnormal gene function, the identification of cancerous genes and the regulatory pathways they control will provide a better platform for understanding the tumor formation and development. The major focus of this thesis is to understand the regulation of genes responsible for the development of cancer, particularly colorectal cancer by analyzing the microarray expression data. In this thesis, four computational algorithms namely fuzzy logic algorithm, modified genetic algorithm, dynamic neural fuzzy network and Takagi Sugeno Kang-type recurrent neural fuzzy network are used to extract cancer specific gene regulatory network from plasma RNA dataset of colorectal cancer patients. Plasma RNA is highly attractive for cancer analysis since it requires a collection of small amount of blood and it can be obtained at any time in repetitive fashion allowing the analysis of disease progression and treatment response.

Automatic Detection and Classification of Glioma Tumors using Statistical Features

The characterization and grading of glioma tumors, via image derived features, for diagnosis, prognosis, and treatment response has been an active research area in medical image computing. This paper presents a novel method for automatic detection and classification of glioma from conventional T2 weighted MR images. Automatic detection of the tumor was established using newly developed method called Adaptive Gray level Algebraic set Segmentation Algorithm (AGASA).Statistical Features were extracted from the detected tumor texture using first order statistics and gray level co-occurrence matrix (GLCM) based second order statistical methods. Statistical significance of the features was determined by t-test and its corresponding p-value. A decision system was developed for the grade detection of glioma using these selected features and its p-value. The detection performance of the decision system was validated using the receiver operating characteristic (ROC) curve. The diagnosis and grading of glioma using this non-invasive method can contribute promising results in medical image computing

Comparación farmacoeconómica (costo – utilidad / beneficio / efectividad) del Rituximab, con el tratamiento convencional para pacientes con Linfoma No Hodgkins

El Linfoma no Hodgkin es un cáncer maligno que tiene baja incidencia a nivel nacional pero altos costos en la atención catalogándose por su manejo como enfermedad de alto costo. El tratamiento de acuerdo a fase de tratamiento, clasificación histológica y respuesta a tratamiento se consideran las alternativas de tratamiento determinadas en guías clínicas en este trabajo se revisará el tratamiento con quimioterapia (CHOP) y el tratamiento con Rituximab + CHOP Objetivo: Evaluar comparativamente el tratamiento con quimioterapia y el Rituximab en cuanto a costo beneficio / utilidad /efectividad y el efecto de ambas terapias sobre la calidad de vida y carga de enfermedad, desde la perspectiva del marco normativo vigente y la aplicación del mismo en una EPS Resultados: en los análisis de costo beneficio, utilidad y efectividad, se evidenció que los costos del tratamiento del Rituximab superan los de quimioterapia, pero al comparar los resultados obtenidos mediante AVISA, y QALY, confirmaron los resultados evidenciados en literatura, siendo estas las variables más sensibles para determinación de protocolos de manejo de Linfoma No Hodgkin. Conclusiones: aunque el Rituximab es una buena opción terapéutica para el Linfoma No Hodgkin, los costos que se ocasionan por este medicamento sobrepasan la compensación recibida por estos usuarios, es necesario que las políticas públicas relacionen este tipo de análisis para adecuar los ingresos a los egresos y permitir el equilibrio económico de la atención, no permitir que por cuestiones de economía empresarial se tomen alternativas equivocas que pueden ir el menos cabo de la salud de los usuarios.

Statistical design and analysis of pharmacogenetic trials

Pharmacogenetic trials investigate the effect of genotype on treatment response. When there are two or more treatment groups and two or more genetic groups, investigation of gene-treatment interactions is of key interest. However, calculation of the power to detect such interactions is complicated because this depends not only on the treatment effect size within each genetic group, but also on the number of genetic groups, the size of each genetic group, and the type of genetic effect that is both present and tested for. The scale chosen to measure the magnitude of an interaction can also be problematic, especially for the binary case. Elston et al. proposed a test for detecting the presence of gene-treatment interactions for binary responses, and gave appropriate power calculations. This paper shows how the same approach can also be used for normally distributed responses. We also propose a method for analysing and performing sample size calculations based on a generalized linear model (GLM) approach. The power of the Elston et al. and GLM approaches are compared for the binary and normal case using several illustrative examples. While more sensitive to errors in model specification than the Elston et al. approach, the GLM approach is much more flexible and in many cases more powerful. Copyright © 2005 John Wiley & Sons, Ltd.

Self-, parent-report and interview measures of obsessive-compulsive disorder in children and adolescents

Self-report measures of obsessive-compulsive disorder (OCD) in children and adolescents are needed for practical evaluation of severity and treatment response. We compared the self- and parent-report Obsessional Compulsive Inventory Revised (CHOCI-R) to the interview-based Child Yale-Brown Obsessive-Compulsive Scale (CY-BOCS) in a clinical sample of 285 children and adolescents with OCD. Classical test theory and item-response theory were applied to compare the instruments. The self- and parent-report CHOCI-R had good internal consistency and were strongly related to each other. The self- and parent-report CHOCI-R severity scores correlated with the CY-BOCS (Pearson's r 0.55 and 0.45 respectively). The CY-BOCS discriminated better at the severe end of the spectrum. The CHOCI-R provided better discrimination in the mild to moderate range. The time-efficient self- and parent-report alternatives will enable routine measurement of OCD severity in clinical practice. Estimates of equivalent summed scores are provided to facilitate comparison. (c) 2007 Elsevier Ltd. All rights reserved.

Towards effective water reuse: drivers, challenges and strategies shaping the organisational management of reclaimed water in Jordan

Treated wastewater or reclaimed water is gaining recognition as a valuable water resource around the world. To assess why, where and how water reuse takes place in Jordan, semi-structured interviews were conducted with representatives of 29 key organisations in 2008. The analysis reveals that water scarcity is a key driver for water reuse. However, despite such recognition, reuse was described positively by only a small proportion of the interviewees (n = 6). Negative and neutral perceptions regarding reuse dominated and the research found that this was related to two underlying challenges: (i) the requirement for more intensive management when using reclaimed water compared with freshwater and (ii) concern over societal acceptance of water reuse. These factors were found to be associated with the risks posed to humans and their environments, combined with negative emotional and cultural responses to human waste and its applications. Numerous strategies are identified that are employed by organisations to overcome these challenges. Wastewater treatment, regulation, monitoring, the mixing of treated effluent with freshwater and limited public discussion of water reuse are all employed to achieve maximum use of reclaimed water. Each strategy presents benefits of sort, but some may paradoxically also inhibit optimal use of reclaimed water. Careful modifications to the existing strategies of Jordanian agencies, such as more open discussion of reuse, could lead to greater social, economic and environmental gains.

Resting state cortico-thalamic-striatal connectivity predicts pesponse to dorsomedial prefrontal rTMS in major depressive disorder

Despite its high toll on society, there has been little recent improvement in treatment efficacy for Major Depressive Disorder (MDD). The identification of biological markers of successful treatment response may allow for more personalized and effective treatment. Here we investigate whether resting state functional connectivity predicted response to treatment with rapid transcranial magnetic stimulation (rTMS) to dorsomedial prefrontal cortex (dmPFC). Twenty five individuals with treatment-refractory MDD underwent a 4-week course of dmPFC-rTMS. Before and after treatment, subjects received resting state functional MRI scans and assessments of depressive symptoms using the Hamilton Depresssion Rating Scale (HAMD17). We found that higher baseline cortico-cortical connectivity (dmPFC-subgenual cingulate and subgenual cingulate to dorsolateral PFC) and lower cortico-thalamic, cortico-striatal and cortico-limbic connectivity were associated with better treatment outcomes. We also investigated how changes in connectivity over the course of treatment related to improvements in HAMD17 scores. We found that successful treatment was associated with increased dmPFC-thalamic connectivity and decreased sgACC-caudate connectivity, Our findings provide insight into which individuals might respond to rTMS treatment and the mechanisms through which these treatments work.

Anhedonia and reward-circuit connectivity distinguish nonresponders from responders to dorsomedial prefrontal rTMS in major depression

Background Depression is a heterogeneous mental illness. Neurostimulation treatments, by targeting specific nodes within the brain’s emotion-regulation network, may be useful both as therapies and as probes for identifying clinically relevant depression subtypes. Methods Here, we applied 20 sessions of magnetic resonance imaging-guided repetitive transcranial magnetic stimulation (rTMS) to the dorsomedial prefrontal cortex in 47 unipolar or bipolar patients with a medication-resistant major depressive episode. Results Treatment response was strongly bimodal, with individual patients showing either minimal or marked improvement. Compared with responders, nonresponders showed markedly higher baseline anhedonia symptomatology (including pessimism, loss of pleasure, and loss of interest in previously enjoyed activities) on item-by-item examination of Beck Depression Inventory-II and Quick Inventory of Depressive Symptomatology ratings. Congruently, on baseline functional magnetic resonance imaging, nonresponders showed significantly lower connectivity through a classical reward pathway comprising ventral tegmental area, striatum, and a region in ventromedial prefrontal cortex. Responders and nonresponders also showed opposite patterns of hemispheric lateralization in the connectivity of dorsomedial and dorsolateral regions to this same ventromedial region. Conclusions The results suggest distinct depression subtypes, one with preserved hedonic function and responsive to dorsomedial rTMS and another with disrupted hedonic function, abnormally lateralized connectivity through ventromedial prefrontal cortex, and unresponsive to dorsomedial rTMS. Future research directly comparing the effects of rTMS at different targets, guided by neuroimaging and clinical presentation, may clarify whether hedonia/reward circuit integrity is a reliable marker for optimizing rTMS target selection.

Adapting brief Behavioural Activation (BA) for adolescent depression: a case example

There is an increasing evidence base for the effectiveness of Behavioural Activation in treating adult depression; however, there has been little investigation of using this approach with adolescents. This article reports on the adaptation of brief Behavioural Activation for Depression (BATD) for adolescents (BATD-A). A case study is reported to illustrate the brief structured approach, treatment response as indicated by routine outcome measures, and the family’s view of the intervention. The adaptations made to the adult BATD manual are discussed including parental input, adapted values and activities, and engagement issues. It is hoped that following further evaluation, BATD-A could be successfully delivered as a low-intensity intervention for depression.

Susceptibility of Staphylococcus aureus to porphyrin-mediated photodynamic antimicrobial chemotherapy: an in vitro study

The ability of Staphylococcus aureus to develop multidrug resistance is well documented, and the antibiotic resistance showed by an increasing number of bacteria has shown the need for alternative therapies to treat infections, photodynamic therapy (PDT) being a potential candidate. The aim of this study was to determine the effect of photodynamic therapy as a light-based bactericidal modality to eliminate Staphylococcus aureus. The study investigated a technique based on a combination of light and a photosensitizer that is capable of producing oxidative species to induce a cytotoxic effect. A Staphylococcus aureus suspension was exposed to a light emitting diode (LED) emitting at 628 nm, 14.6 mW/cm(2), and energy density of 20J/cm(2), 40J/cm(2), or 60 J/cm(2) in the presence of different porphyrin concentrations (PhotogemA (R)). Three drug concentrations were employed: 12 mu l/ml, 25 mu l/ml, and 50 mu l/ml. The treatment response was evaluated by the number of bacterial colony forming units (CFU) after light exposure. The results indicated that exposure to 60 J/cm(2) eliminated 100% (10 log(10) scales) of bacteria, on average. The best PDT response rate to eliminate Staphylococcus aureus was achieved with exposure to LED light in combination with the photosensitizer at concentrations ranging from 25 mu l/ml to 50 mu l/ml. These data suggest that PDT has the potential to eliminate Staphylococcus aureus in suspension and indicates the necessary drug concentration and light fluency.

Early Onset Obsessive-Compulsive Disorder With and Without Tics

Introduction: Research suggests that obsessive-compulsive disorder (OCD) is not a unitary entity, but rather a highly heterogeneous condition, with complex and variable clinical manifestations. Objective: The aims of this study were to compare clinical and demographic characteristics of OCD patients with early and late age of onset of obsessive-compulsive symptoms (OCS); and to compare the same features in early onset OCD with and without tics. The independent impact of age at onset and presence of tics on comorbidity patterns was investigated. Methods: Three hundred and thirty consecutive outpatients meeting Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria for OCD were evaluated: 160 patients belonged to the ""early onset"" group (EOG): before 11 years of age, 75 patients had an ""intermediate onset"" (IOG), and 95 patients were from the ""late onset"" group (LOG): after 18 years of age. From the 160 EOG, 60 had comorbidity with tic disorders. The diagnostic instruments used were: the Yale-Brown Obsessive Compulsive Scale and the Dimensional Yale-Brown Obsessive Compulsive Scale (DY-BOCS), Yale Global Tics Severity Scale; and Structured Clinical Interview for DSM-IV Axis I Disorders-patient edition. Statistical tests used were: Mann-Whitney, full Bayesian significance test, and logistic regression. Results: The EOG had a predominance of males, higher frequency of family history of OCS, higher mean scores on the ""aggression/violence"" and ""miscellaneous"" dimensions, and higher mean global DY-BOCS scores. Patients with EOG without tic disorders presented higher mean global DY-BOCS scores and higher mean scores in the ""contamination/cleaning"" dimension. Conclusion: The current results disentangle some of the clinical overlap between early onset OCD with and without tics. CNS Spectr. 2009; 14(7):362-370

Obsessive-compulsive disorder: Influence of age at onset on comorbidity patterns

Purpose. - This study investigates the influence of age at onset of OCS on psychiatric comorbidities, and tries to establish a cut-off point for age at onset. Methods. - Three hundred and thirty OCD patients were consecutively recruited and interviewed using the following structured interviews: Yale-Brown Obsessive Compulsive Scale; Yale Global Tic Severity Scale and the Structured Clinical Interview for DSM-IV. Data were analyzed with regression and cluster analysis. Results. - Lower age at onset was associated with a higher probability of having comorbidity with tic, anxiety, somatoform, eating and impulse-control disorders. Longer illness duration was associated with lower chance of having tics. Female gender was associated with anxiety, eating and impulse-control disorders. Tic disorders were associated with anxiety disorders and attention-deficit/hyperactivity disorder. No cutoff age at onset was found to clearly divide the sample in homogeneous subgroups. However, cluster analyses revealed that differences started to emerge at the age of 10 and were more pronounced at the age of 17, suggesting that these were the best cut-off points on this sample. Conclusions. - Age at onset is associated with specific comorbidity patterns in OCD patients. More prominent differences are obtained when analyzing age at onset as an absolute value. (C) 2008 Elsevier Masson SAS. All rights reserved.

The most severe parkinsonian patients are most improved with duodenal levodopa infusion

Objectives:To find variables correlated to improvement with intraduodenal levodopa/carbidopa infusion (Duodopa) in order to identify potential candidates for this treatment. Two clinical studies comparing Duodopa with oral treatments in patients with advanced Parkinson’s disease have shown significant improvement in percent on-time on a global treatment response scale (TRS) based on hourly and half-hourly clinical ratings and in median UPDRS scores.Methods:Data from study 1 comparing infusion with Sinemet CR (12 patients, Nyholm et al, Clin Neuropharmacol 2003; 26(3): 156-163) and study 2 comparing infusion with individually optimised conventional combination therapies (18 patients, Nyholm et al, Neurology, in press) were used. Measures of severity were defined as total UPDRS score and scores for sections II and III, percent functional on-time and mean squared error of ratings on the TRS and as mean of diary questions about mobility and satisfaction (only study 2). Absolute improvement was defined as difference in severity, and relative improvement was defined as percent absolute improvement/severity on oral treatment. Pearson correlation coefficients between measures of improvement and other variables were calculated.Results:Correlations (r2>0.28, p<0.05) between severity during oral treatment and absolute improvement on infusion were found for: Total UPDRS, UPDRS III and TRS ratings (studies 1 and 2) and for diary question 1 (mobility) and UPDRS II (study 2). Correlation to relative improvement was found for total UPDRS (study 2, r2=0.47). Figure 1 illustrates absolute improvement in total UPDRS vs. total UPDRS during oral treatment (study 2).Conclusion:Correlating different measures of severity and improvement revealed that patients with more severe symptoms were most improved and that the relation between severity and improvement was linear within the studied groups. The result, which was reproducible between two clinical studies, could be useful when deciding candidates for the treatment.