Empirical study of correlated survival times for recurrent events with proportional hazards margins and the effect of correlation and censoring.

Background: In longitudinal studies where subjects experience recurrent incidents over a period of time, such as respiratory infections, fever or diarrhea, statistical methods are required to take into account the within-subject correlation. Methods: For repeated events data with censored failure, the independent increment (AG), marginal (WLW) and conditional (PWP) models are three multiple failure models that generalize Cox"s proportional hazard model. In this paper, we revise the efficiency, accuracy and robustness of all three models under simulated scenarios with varying degrees of within-subject correlation, censoring levels, maximum number of possible recurrences and sample size. We also study the methods performance on a real dataset from a cohort study with bronchial obstruction. Results: We find substantial differences between methods and there is not an optimal method. AG and PWP seem to be preferable to WLW for low correlation levels but the situation reverts for high correlations. Conclusions: All methods are stable in front of censoring, worsen with increasing recurrence levels and share a bias problem which, among other consequences, makes asymptotic normal confidence intervals not fully reliable, although they are well developed theoretically.

High c-Met expression in stage I-II pancreatic adenocarcinoma: proposal for an immunostaining scoring method and correlation with poor prognosis.

AIMS: c-Met is an emerging biomarker in pancreatic ductal adenocarcinoma (PDAC); there is no consensus regarding the immunostaining scoring method for this marker. We aimed to assess the prognostic value of c-Met overexpression in resected PDAC, and to elaborate a robust and reproducible scoring method for c-Met immunostaining in this setting. METHODS AND RESULTS: c-Met immunostaining was graded according to the validated MetMab score, a classic visual scale combining surface and intensity (SI score), or a simplified score (high c-Met: ≥20% of tumour cells with strong membranous staining), in stage I-II PDAC. A computer-assisted classification method (Aperio software) was developed. Clinicopathological parameters were correlated with disease-free survival (DFS) and overall survival(OS). One hundred and forty-nine patients were analysed retrospectively in a two-step process. Thirty-seven samples (whole slides) were analysed as a pre-run test. Reproducibility values were optimal with the simplified score (kappa = 0.773); high c-Met expression (7/37) was associated with shorter DFS [hazard ratio (HR) 3.456, P = 0.0036] and OS (HR 4.257, P = 0.0004). c-Met expression was concordant on whole slides and tissue microarrays in 87.9% of samples, and quantifiable with a specific computer-assisted algorithm. In the whole cohort (n = 131), patients with c-Met(high) tumours (36/131) had significantly shorter DFS (9.3 versus 20.0 months, HR 2.165, P = 0.0005) and OS (18.2 versus 35.0 months, HR 1.832, P = 0.0098) in univariate and multivariate analysis. CONCLUSIONS: Simplified c-Met expression is an independent prognostic marker in stage I-II PDAC that may help to identify patients with a high risk of tumour relapse and poor survival.

Gene Expression Profiling of Desmoid Tumors by cDNA Microarrays and Correlation with Progression-Free Survival.

PURPOSE: Because desmoid tumors exhibit an unpredictable clinical course, translational research is crucial to identify the predictive factors of progression in addition to the clinical parameters. The main issue is to detect patients who are at a higher risk of progression. The aim of this work was to identify molecular markers that can predict progression-free survival (PFS). EXPERIMENTAL DESIGN: Gene-expression screening was conducted on 115 available independent untreated primary desmoid tumors using cDNA microarray. We established a prognostic gene-expression signature composed of 36 genes. To test robustness, we randomly generated 1,000 36-gene signatures and compared their outcome association to our define 36-genes molecular signature and we calculated positive predictive value (PPV) and negative predictive value (NPV). RESULTS: Multivariate analysis showed that our molecular signature had a significant impact on PFS while no clinical factor had any prognostic value. Among the 1,000 random signatures generated, 56.7% were significant and none was more significant than our 36-gene molecular signature. PPV and NPV were high (75.58% and 81.82%, respectively). Finally, the top two genes downregulated in no-recurrence were FECH and STOML2 and the top gene upregulated in no-recurrence was TRIP6. CONCLUSIONS: By analyzing expression profiles, we have identified a gene-expression signature that is able to predict PFS. This tool may be useful for prospective clinical studies. Clin Cancer Res; 21(18); 4194-200. ©2015 AACR.

Biological interpretation of genome-wide association studies using predicted gene functions.

The main challenge for gaining biological insights from genetic associations is identifying which genes and pathways explain the associations. Here we present DEPICT, an integrative tool that employs predicted gene functions to systematically prioritize the most likely causal genes at associated loci, highlight enriched pathways and identify tissues/cell types where genes from associated loci are highly expressed. DEPICT is not limited to genes with established functions and prioritizes relevant gene sets for many phenotypes.

Implementing Role Based Access Control into the Enterprise Environment to Support Business and IT Functions

The thesis studies role based access control and its suitability in the enterprise environment. The aim is to research how extensively role based access control can be implemented in the case organization and how it support organization’s business and IT functions. This study points out the enterprise’s needs for access control, factors of access control in the enterprise environment and requirements for implementation and the benefits and challenges it brings along. To find the scope how extensively role based access control can be implemented into the case organization, firstly is examined the actual state of access control. Secondly is defined a rudimentary desired state (how things should be) and thirdly completed it by using the results of the implementation of role based access control application. The study results the role model for case organization unit, and the building blocks and the framework for the organization wide implementation. Ultimate value for organization is delivered by facilitating the normal operations of the organization whilst protecting its information assets.

New kernel functions and learning methods for text and data mining

Recent advances in machine learning methods enable increasingly the automatic construction of various types of computer assisted methods that have been difficult or laborious to program by human experts. The tasks for which this kind of tools are needed arise in many areas, here especially in the fields of bioinformatics and natural language processing. The machine learning methods may not work satisfactorily if they are not appropriately tailored to the task in question. However, their learning performance can often be improved by taking advantage of deeper insight of the application domain or the learning problem at hand. This thesis considers developing kernel-based learning algorithms incorporating this kind of prior knowledge of the task in question in an advantageous way. Moreover, computationally efficient algorithms for training the learning machines for specific tasks are presented. In the context of kernel-based learning methods, the incorporation of prior knowledge is often done by designing appropriate kernel functions. Another well-known way is to develop cost functions that fit to the task under consideration. For disambiguation tasks in natural language, we develop kernel functions that take account of the positional information and the mutual similarities of words. It is shown that the use of this information significantly improves the disambiguation performance of the learning machine. Further, we design a new cost function that is better suitable for the task of information retrieval and for more general ranking problems than the cost functions designed for regression and classification. We also consider other applications of the kernel-based learning algorithms such as text categorization, and pattern recognition in differential display. We develop computationally efficient algorithms for training the considered learning machines with the proposed kernel functions. We also design a fast cross-validation algorithm for regularized least-squares type of learning algorithm. Further, an efficient version of the regularized least-squares algorithm that can be used together with the new cost function for preference learning and ranking tasks is proposed. In summary, we demonstrate that the incorporation of prior knowledge is possible and beneficial, and novel advanced kernels and cost functions can be used in algorithms efficiently.

Preliminary integrated magnetostratigraphic and biostratigraphic correlation in the Miocene Lorca Basin (Murcia, SE Spain).

The Lorca basin is one of the Neogene basins OS South Eastern Spain. The infilling Tortonian-Messinian deposits are mainly composed OS marls and reach up to 1,200 m in thickness. A biostratigraphic survey OS these deposits, assisted by the determination OS the magnetic polarity reversal pattern Sor most OS these deposits (900 m), has enabled the Tortonian-Messinian chronostratigraphy to be precised. The close sampling space for biostratigraphic determination has enabled the accurate location OS Sour main biostratigraphic events than can be correlated with charactenstic events of the Mediterranean biostratigraphic Zones. In addition, the location OS the TortonianNessinian boundary has been accurately placed at some 150 m below the main gypsurn unit outcropping in the basin. The integrated bio-magnetostratigraphic data fiom the studied section allows a tentative interpretation OS the identified magnetozones. Thus, a correlation to the Geomagnetic Polarity Time Scale is presented for more than 900 m of pre-evaporite Miocene stratigraphic succession fiom the Lorca basin. Moreover, about 15' OS anticlockwise rotation has been detected. Its significance is evaluated in the basin geodynamic framework.

Spatio-temporal image correlation (STIC): nova técnica para avaliação do coração fetal

As malformações cardíacas são as mais freqüentes anomalias congênitas ao nascimento, entretanto, a sua detecção pré-natal pela ultra-sonografia convencional permanece baixa. As ultra-sonografias de terceira e quarta dimensões surgiram no início da década de 90, apresentando grandes aplicações em obstetrícia, principalmente nos casos de diagnósticos duvidosos à ultra-sonografia bidimensional. O spatio-temporal image correlation (STIC) representa grande avanço na área de ultra-som de quarta dimensão; constitui-se em um software acoplado ao aparelho Voluson 730 Expert, que permite a aquisição volumétrica do coração fetal e suas conexões vasculares. As análises volumétricas são realizadas nos modos multiplanar e de renderização, podendo-se também utilizar o Doppler. Apresenta, como grandes vantagens, a aquisição rápida e a possibilidade de análise posterior por especialistas em ecocardiografia fetal. Pode ser aplicada para a pesquisa de quaisquer cardiopatias congênitas, pois permite a aquisição de qualquer plano, diferentemente do ultra-som bidimensional. Sua principal desvantagem está relacionada aos movimentos fetais. A maior difusão do método pode permitir um aumento na detecção de malformações cardíacas, pois possibilita ao ultra-sonografista geral encaminhar, via Internet, os volumes para a análise por especialistas em ecocardiografia fetal.

New insights into cellular prion protein (PrPc) functions: the 'ying and yang' of a relevant protein.

The conversion of cellular prion protein (PrPc), a GPI-anchored protein, into a protease-K-resistant and infective form (generally termed PrPsc) is mainly responsible for Transmissible Spongiform Encephalopathies (TSEs), characterized by neuronal degeneration and progressive loss of basic brain functions. Although PrPc is expressed by a wide range of tissues throughout the body, the complete repertoire of its functions has not been fully determined. Recent studies have confirmed its participation in basic physiological processes such as cell proliferation and the regulation of cellular homeostasis. Other studies indicate that PrPc interacts with several molecules to activate signaling cascades with a high number of cellular effects. To determine PrPc functions, transgenic mouse models have been generated in the last decade. In particular, mice lacking specific domains of the PrPc protein have revealed the contribution of these domains to neurodegenerative processes. A dual role of PrPc has been shown, since most authors report protective roles for this protein while others describe pro-apoptotic functions. In this review, we summarize new findings on PrPc functions, especially those related to neural degeneration and cell signaling.

Subthalamic (STN) Deep Brain Stimulation (DBS) in Parkinson's Disease (PD): Correlation Between the Location of the Stimulated Contacts and the Clinical Effects in 14 Patients

Objectives: To correlate the chronic stimulated electrode position on postoperative MRI with the clinical response obtained in PD patients. Material and Method: We retrospectively reviewed 14 consecutive parkinsonian patients who were selected for STN-DBS surgery. Coordinates were determined on an IR T2 MRI coronal section per pendicular to AC-PC plane 3 mm posterior to midcommissural point (MCP) and 12 mm lateral to the midline the inferior aspect of subthalamic region. A CRW stereotactic frame was used for the surgical procedure. A 3D IR T2 MRI was performed postoperatively to determine the location of the stimulated contact in each patient. The clinical results were assessed independently by the neurological team. Results: All but 2 patients had monopolar stimulation. The mean coordinates of the stimulated contacts were: AP ^ ÿ4:23G1:4, Lat ^ 1:12G0:15, Vert ^ ÿ4:1 G2:7 to the MCP. With a mean follow-up of 8 months, all stimulated patients had a significant clinical improvement (preop/postop «ON» UPDRS: 25:8G7:0= 23:3 G8:6; preop/postop «OFF» UPDRS: 50:2G11:4=26:0 G7:8), 60% of them without any antiparkinsonian drug. Conclusion: According to the stereotactic atlas of Schaltenbrand and Warren and the 3D shape of the STN, our results show that our targetting is accurate and almost all the stimulated contacts are comprised in the STN volume. This indicates that MRI is a safe, precise and reproducible procedure for targetting the STN. The location of the stimulated contact within the STN volume is a good predictor of the clinical results.

Two-year follow-op of cognitive functions in Schizophrenia spectrum disorders of adolescent patients treated with electroconvulsive therapy

Objective: The aim of the current study was to investigate the long-term cognitive effects of electroconvulsive therapy (ECT) in a sample of adolescent patients in whom schizophrenia spectrum disorders were diagnosed. Methods: The sample was composed of nine adolescent subjects in whom schizophrenia or schizoaffective disorder was diagnosed according to DSM-IV-TR criteria on whom ECT was conducted (ECT group) and nine adolescent subjects matched by age, socioeconomic status, and diagnostic and Positive and Negative Syndrome Scale (PANSS) total score at baseline on whom ECT was not conducted (NECT group). Clinical and neuropsychological assessments were carried out at baseline before ECT treatment and at 2-year follow-up. Results: Significant differences were found between groups in the number of unsuccessful medication trials. No statistically significant differences were found between the ECT group and theNECT group in either severity as assessed by the PANSS, or in any cognitive variables at baseline.At follow-up, both groups showed significant improvement in clinical variables (subscales of positive, general, and total scores of PANSS and Clinical Global Impressions-Improvement). In the cognitive assessment at follow-up, significant improvement was found in both groups in the semantic category of verbal fluency task and digits forward. However, no significant differences were found between groups in any clinical or cognitive variable at follow-up. Repeated measures analysis found no significant interaction of time · group in any clinical or neuropsychological measures. Conclusions: The current study showed no significant differences in change over time in clinical or neuropsychological variables between the ECT group and the NECT group at 2-year follow-up. Thus, ECT did not show any negative influence on long-term neuropsychological variables in our sample.

The role of the microRNAs in the age-associated oancreatic β-cell dysfunction

Le corps humain emploie le glucose comme source principale d'énergie. L'insuline, sécrétée par les cellules ß-pancreatiques situées dans les îlots de Langerhans, est l'hormone principale assurant un maintien constant du taux de glucose sanguin (glycémie). Les prédispositions génétiques, le manque d'activité physique et un régime déséquilibré peuvent entraîner une perte de sensibilité à l'insuline et des taux de glucose dans le sang élevé (hyperglycémie), une condition nommée diabète de type 2. Cette maladie est initiée par une sensibilité diminuée à l'insuline dans les tissus périphériques, entraînant une demande accrue en insuline. Cette pression continue finie par épuiser les cellules ß-pancreatiques, qui sécrètent alors des niveaux d'insuline insuffisant en trainant l'apparition du diabète. Le vieillissement est un facteur de risque important pour les maladies métaboliques dont le diabète de type 2 faits partis. En effet la majeure partie des diabétiques de type 2 ont plus de 45 ans. Il est connu que le vieillissement entraine une perte de sensibilité à l'insuline, une sécrétion altérée d'insuline, une baisse de réplication et une plus grande mort des ß-cellules pancréatiques. Le but de ma thèse était de mieux comprendre les mécanismes contribuante au dysfonctionnement des cellules ß- pancréatiques lors du vieillissement. Les travaux du « Human Genome Project » ont révélés que seulement 2% de notre génome code pour des protéines. Le reste non-codant fut alors désigné sous le nom de « ADN déchets ». Cependant, l'étude approfondie de cet ADN non-codant ces dernières deux décennies a démontré qu'une grande partie code pour des «MicroARNs », des ARNs courts (20-22 nucleotides) découverts en 1997 chez le vers C.elegans. Depuis lors ces molécules ont été intensivement étudiées, révélant un rôle crucial de ces molécules dans la fonction et la survie des cellules en conditions normales et pathologiques. Le but de cette thèse était d'étudier le rôle des microARNs dans le dysfonctionnement des cellules ß lors du vieillissement. Nos données suggèrent qu'ils peuvent jouer un rôle tantôt salutaire, tantôt nocif sur les cellules ß. Par exemple, certains microARNs réduisent la capacité des cellules ß à se multiplier ou réduisent leur survie, alors que d'autres protègent ces cellules contre la mort. Pour conclure, nous avons démontré les microARNs jouent un rôle important dans le dysfonctionnement des cellules ß lors du vieillissement. Ces nouvelles découvertes préparent le terrain pour la conception de futures stratégies visant à améliorer la résistance des cellules ß pancréatiques afin de trouver de nouveaux traitements du diabète de type 2. -- Le diabète de type 2 est une maladie métabolique due à la résistance à l'action de l'insuline des tissus cibles combinée à l'incapacité des cellules ß pancréatiques à sécréter les niveaux adéquats d'insuline. Le vieillissement est associé à un déclin global des fonctions de l'organisme incluant une diminution de la fonction et du renouvellement des cellules ß pancréatiques. Il constitue ainsi un risque majeur de développement des maladies métaboliques dont le diabète de type 2. Le but de cette thèse était d'étudier le rôle des microARNs (une classe d'ARN non- codants) dans le dysfonctionnement lié au vieillissement des cellules ß. L'analyse par microarray des niveaux d'expression des microARN dans les îlots pancréatiques de rats Wistar mâles âgés de 3 et 12 mois nous a permis d'identifier de nombreux changements d'expression de microARNs associés au vieillissement. Afin d'étudier les liens entre ces modifications et le déclin des cellules ß, les changements observés lors du vieillissement ont été reproduits spécifiquement dans une lignée cellulaire, dans des cellules ß primaires de jeune rats ou de donneurs humains sains. La diminution du miR-181a réduit la prolifération des cellules ß, tandis que la diminution du miR-130b ou l'augmentation du miR-383 protège contre l'apoptose induite par les cytokines. L'augmentation du miR-34a induit l'apoptose et inhibe la prolifération des cellules ß en réponse aux hormones Exendin-4 et prolactine et au facteur de croissance PDGF-AA. Cette perte de capacité réplicative est similaire à celle observée dans des cellules ß de rats âgés de 12 mois. Dans la littérature, la perte du récepteur au PDGF-r-a est associée à la diminution de la capacité proliférative des cellules ß observée lors du vieillissement. Nous avons pu démontrer que PDGF-r-a est une cible directe de miR- 34a, suggérant que l'effet néfaste de miR-34a sur la prolifération des cellules ß est, du moins en partie, lié à l'inhibition de l'expression de PDGF-r-a. L'expression de ce miR est aussi plus élevée dans le foie et le cerveau des animaux de 1 an et augmente avec l'âge dans les ilôts de donneurs non-diabétiques. Ces résultats suggèrent que miR-34a pourrait être non seulement impliqué dans l'affaiblissement des fonctions pancréatiques associé à l'âge, mais également jouer un rôle dans les tissus cibles de l'insuline et ainsi contribuer au vieillissement de l'organisme en général. Pour conclure, les travaux obtenus durant cette thèse suggèrent que des microARNs sont impliqués dans le dysfonctionnement des cellules ß pancréatiques durant le vieillissement. -- Type 2 diabetes is a metabolic disease characterized by impaired glucose tolerance, of the insulin sensitive tissues and insufficient insulin secretion from the pancreatic ß-cells to sustain the organism demand. Aging is a risk factor for the majority of the metabolic diseases including type 2 diabetes. With aging is observed a decline in all body function, due to decrease both in cell efficiency and renewal. The aim of this thesis was to investigate the potential role of microRNAs (short non- coding RNAs) in the pancreatic ß-cell dysfunction associated with aging. Microarray analysis of microRNA expression profile in pancreatic islets from 3 and 12 month old Wistar male rats revealed important changes in several microRNAs. To further study the link between those alterations and the decline of ß-cells, the changes observed in old rats were mimicked in immortalized ß-cell lines, primary young rat and human islets. Downregulation of miR-181a inhibited pancreatic ß-cell proliferation in response to proliferative drugs, whereas downregulation of miR-130b and upregulation of miR-383 protected pancreatic ß-cells from cytokine stimulated apoptosis. Interestingly, miR-34a augmented pancreatic ß-cell apoptosis and inhibited ß-cell proliferation in response to the proliferative chemicals Exendin-4, prolactin and PDGF-AA. This loss of replicative capacity is reminiscent of what we observed in pancreatic ß-cells isolated from 12 month old rats. We further observed a correlation between the inhibitory effect of miR-34a on pancreatic ß-cell proliferation and its direct interfering effect of this microRNA on PDGF-r-a, which was previously reported to be involved in the age-associated decline of pancreatic ß-cell proliferation. Interestingly miR-34a was upregulated in the liver and brain of 1 year old animals and positively correlated with age in pancreatic islets of normoglycemic human donors. These results suggest that miR-34a might be not only involved in the age-associated impairment of the pancreatic ß-cell functions, but also play a role in insulin target tissues and contribute to the aging phenotype on the organism level. To conclude, we have demonstrated that microRNAs are indeed involved in the age-associated pancreatic ß-cell dysfunction and they can play both beneficial and harmful roles in the context of pancreatic ß-cell aging.