Capsid modified replicating adenovirus to selectively target colon cancer

Résumé: Pratiquement tous les cancers du colon contiennent des mutations dans la voie de signalisation de Wnt qui active constitutivement cette voie. Cette activation mène à la stabilisation de la β-catenine. La β-catenin est transportée dans le noyau ou elle active des gènes cible en interagissant avec le facteur de transcription de TCF/LEF. Des adénovirus qui peuvent sélectivement se répliquer dans les cellules tumorales sont les agents qui peuvent permettre la déstruction de la tumeur mais pas le tissu normal. In vitro, les adénovirus avec des sites d'attachement du facteur de transcription TCF dans les promoteurs de l'adénovirus montrent une sélectivité et une activité dans une large sélection de lignées cellulaires de cancer du colon. Au contraire, in vivo, quand les adénovirus modifiés sont injectés dans la circulation, ils sont moins efficaces à cause de leur fixation par le foie et à cause de l'absence d'expression du récepteur du Coxsackie-Adénovirus (CAR). Le but de ma thèse était de modifier la protéine principale de capside de l'adénovirus, fibre, pour augmenter l'infection des tumeurs du cancer du colon. La fibre de l'adénovirus est responsable de l'attachement aux cellules et de l'entrée virale. J'ai inséré un peptide RGD dans la boucle HI de la fibre qui dirige sélectivement le virus aux récepteurs des integrines. Les integrines sont surexprimées par les cellules du cancer du colon et l'endothélium des vesseaux de la tumeur. Le virus re-ciblé, vKH6, a montré une activité accrue dans toutes les lignées cellulaires de cancer du colon, tandis que la sélectivité était maintenue. In vivo, vKH6 était supérieur au virus avec une capside de type sauvage en retardant la croissance de la tumeur. Le virus s'est répliqué plus vite et dispersé graduellement dans la tumeur. Cet effet a été montré par hybridation in situ et par PCR quantitative. Cependant, la monothérapie avec le virus n'a pu retarder la croissance des cellules tumorales SW620 greffées que de 2 semaines, mais à cause des régions non infectées la tumeur n'a pas pu être éliminée. Bien que la combinaison avec les chimiothérapies conventionnelles soit d'intérêt potentiel, presque toutes interfèrent avec la réplication virale. Les drogues antiangiogéniques sont des agents anti-tumoraux efficaces et prometteurs. Ces drogues n'interfèrent pas avec le cycle de vie de l'adénovirus. RAD001 est un dérivé de la rapamycine et il inhibe mTOR, une protéine kinase de la voie de PI3K. RAD001 empêche la croissance des cellules et il a aussi des effets anti-angiogénique et immunosuppressifs. RAD001 in vitro n'affecte pas l'expression des gènes viraux et la production virale. La combinaison de VKH6 et RAD001 in vivo a un effet additif en retardant la croissance de la tumeur. Des nouveaux peptides plus efficaces dans le ciblage de l'adénovirus sont nécessaires pour augmenter l'infection des tumeurs. J'ai créé un système de recombinaison qui permettra la sélection de nouveaux peptides dans le contexte du génome de l'adénovirus. Summary Virtually all colon cancers have mutations in the Wnt signalling pathway which result in the constitutive activation of the pathway. This activation leads to stabilization of β-catenin. β-catenin enters the nucleus and activates its target genes through interaction with the TCF transcription factor. Selectively replicating adenoviruses are promising novel agents that can destroy the tumour but not the surrounding normal tissue. In vitro, adenoviruses with TCF binding sites in the early viral promoters show selectivity and activity in a broad panel of viruses but in vivo they are less effective due to the lack of expression of the Coxsackie-Adenovirus receptor (CAR). The aim of my thesis was to modify the major capsid protein of the adenovirus, fibre, to increase the infection of colon tumours. Fibre of adenovirus is responsible for the binding to cells and for the viral uptake. I inserted an RGD binding peptide into the HI loop of fibre that selectively targets the virus to integrins that are overexpressed on tumour cells and on tumour endothelium. The retargeted virus, vKH6, showed increased activity in all colon cancer cell lines while selectivity was maintained. In vivo, vKH6 is superior to a matched virus with a wild type capsid in delaying tumour growth. vKH6 replicates and gradually spreads within the tumour as shown by in situ hybridization and Q-PCR. The virus alone can delay the growth of SW620 xenografts by 2 weeks but due to uninfected tumour regions the tumour cannot be cured. Although combination with conventional chemotherapeutics is of potential interest, almost all of them interfere with the viral replication. Growing evidence supports that anti-angiogenic drugs are effective and promising anti-tumour agents. These drugs interfere less with the viral life cycle. RAD001 is a rapamycin derivative and it blocks mTOR, a protein kinase in the PI3K pathway. RAD001 inhibits cell growth and has strong anti-angiogenic and immunosuppressive effects. RAD001 in vitro does not affect viral gene expression and viral burst size. In vivo vKH6 and RAD001 have an additive effect in delaying tumour growth, but tumour growth is still not completely inhibited. To further increase tumour infection new tumour specific targeting peptides are needed. I created an adenovirus display library that will allow the selection of targeting peptides. This system may also facilitate the production of fibre modified viruses.

Recurrent Macular Edema in Central Retinal Vein Occlusion Treated with Intravitreal Ranibizumab using a Modified Treat and Extend Regimen.

Background: The aim of this study was to evaluate the stability over time of the individually defined interval of intravitreal ranibizumab injection (IVR) for the treatment of recurrent macular edema (ME) in central retinal vein occlusion (CRVO). Patients and Methods: A case series of treatment naïve patients followed in the Jules Gonin Eye Hospital for macular edema due to central retinal vein occlusion is presented. Patients were treated monthly with IVR until complete absence of fluid on qualitative SD-OCT with a minimum of 5 monthly IVR. Thereafter, they were followed according to a modified treat and extend regimen (mTER). Results: Twelve eyes (12 patients) with ME due to CRVO were included. The mean follow-up period was 31.3 months. Analysis showed that best corrected visual acuity (BCVA), central macular thickness and qualitative spectral domain optical coherence tomography (SD-OCT) showed comparable results under monthly interval, after titration of an individualized interval and when performed in a series. 78 % of treating intervals were within ± 2 weeks of the first individually adjusted interval. The mean first defined interval was 4.3 weeks and the mean interval over time was 5.5 weeks (p = 0.003). There was a trend towards longer interval over time. Conclusion: The adjusted interval of retreatment of patients with ME due to CRVO showed a high stability with a trend toward longer duration over time. An mTER regimen seems to be valuable to follow patients with ME with good stabilization of VA.

An efficient total variation algorithm for super-resolution in fetal brain MRI with adaptive regularization.

Although fetal anatomy can be adequately viewed in new multi-slice MR images, many critical limitations remain for quantitative data analysis. To this end, several research groups have recently developed advanced image processing methods, often denoted by super-resolution (SR) techniques, to reconstruct from a set of clinical low-resolution (LR) images, a high-resolution (HR) motion-free volume. It is usually modeled as an inverse problem where the regularization term plays a central role in the reconstruction quality. Literature has been quite attracted by Total Variation energies because of their ability in edge preserving but only standard explicit steepest gradient techniques have been applied for optimization. In a preliminary work, it has been shown that novel fast convex optimization techniques could be successfully applied to design an efficient Total Variation optimization algorithm for the super-resolution problem. In this work, two major contributions are presented. Firstly, we will briefly review the Bayesian and Variational dual formulations of current state-of-the-art methods dedicated to fetal MRI reconstruction. Secondly, we present an extensive quantitative evaluation of our SR algorithm previously introduced on both simulated fetal and real clinical data (with both normal and pathological subjects). Specifically, we study the robustness of regularization terms in front of residual registration errors and we also present a novel strategy for automatically select the weight of the regularization as regards the data fidelity term. Our results show that our TV implementation is highly robust in front of motion artifacts and that it offers the best trade-off between speed and accuracy for fetal MRI recovery as in comparison with state-of-the art methods.

New Algorithm for Managing Childhood Illness Using Mobile Technology (ALMANACH): A Controlled Non-Inferiority Study on Clinical Outcome and Antibiotic Use in Tanzania.

INTRODUCTION: The decline of malaria and scale-up of rapid diagnostic tests calls for a revision of IMCI. A new algorithm (ALMANACH) running on mobile technology was developed based on the latest evidence. The objective was to ensure that ALMANACH was safe, while keeping a low rate of antibiotic prescription. METHODS: Consecutive children aged 2-59 months with acute illness were managed using ALMANACH (2 intervention facilities), or standard practice (2 control facilities) in Tanzania. Primary outcomes were proportion of children cured at day 7 and who received antibiotics on day 0. RESULTS: 130/842 (15∙4%) in ALMANACH and 241/623 (38∙7%) in control arm were diagnosed with an infection in need for antibiotic, while 3∙8% and 9∙6% had malaria. 815/838 (97∙3%;96∙1-98.4%) were cured at D7 using ALMANACH versus 573/623 (92∙0%;89∙8-94∙1%) using standard practice (p<0∙001). Of 23 children not cured at D7 using ALMANACH, 44% had skin problems, 30% pneumonia, 26% upper respiratory infection and 13% likely viral infection at D0. Secondary hospitalization occurred for one child using ALMANACH and one who eventually died using standard practice. At D0, antibiotics were prescribed to 15∙4% (12∙9-17∙9%) using ALMANACH versus 84∙3% (81∙4-87∙1%) using standard practice (p<0∙001). 2∙3% (1∙3-3.3) versus 3∙2% (1∙8-4∙6%) received an antibiotic secondarily. CONCLUSION: Management of children using ALMANACH improve clinical outcome and reduce antibiotic prescription by 80%. This was achieved through more accurate diagnoses and hence better identification of children in need of antibiotic treatment or not. The building on mobile technology allows easy access and rapid update of the decision chart. TRIAL REGISTRATION: Pan African Clinical Trials Registry PACTR201011000262218.

Managing the Sick Child in the Era of Declining Malaria Transmission: Development of ALMANACH, an Electronic Algorithm for Appropriate Use of Antimicrobials.

OBJECTIVE: To review the available knowledge on epidemiology and diagnoses of acute infections in children aged 2 to 59 months in primary care setting and develop an electronic algorithm for the Integrated Management of Childhood Illness to reach optimal clinical outcome and rational use of medicines. METHODS: A structured literature review in Medline, Embase and the Cochrane Database of Systematic Review (CDRS) looked for available estimations of diseases prevalence in outpatients aged 2-59 months, and for available evidence on i) accuracy of clinical predictors, and ii) performance of point-of-care tests for targeted diseases. A new algorithm for the management of childhood illness (ALMANACH) was designed based on evidence retrieved and results of a study on etiologies of fever in Tanzanian children outpatients. FINDINGS: The major changes in ALMANACH compared to IMCI (2008 version) are the following: i) assessment of 10 danger signs, ii) classification of non-severe children into febrile and non-febrile illness, the latter receiving no antibiotics, iii) classification of pneumonia based on a respiratory rate threshold of 50 assessed twice for febrile children 12-59 months; iv) malaria rapid diagnostic test performed for all febrile children. In the absence of identified source of fever at the end of the assessment, v) urine dipstick performed for febrile children <2 years to consider urinary tract infection, vi) classification of 'possible typhoid' for febrile children >2 years with abdominal tenderness; and lastly vii) classification of 'likely viral infection' in case of negative results. CONCLUSION: This smartphone-run algorithm based on new evidence and two point-of-care tests should improve the quality of care of <5 year children and lead to more rational use of antimicrobials.

Efficient total variation algorithm for fetal MRI reconstruction

Fetal MRI reconstruction aims at finding a high-resolution image given a small set of low-resolution images. It is usually modeled as an inverse problem where the regularization term plays a central role in the reconstruction quality. Literature has considered several regularization terms s.a. Dirichlet/Laplacian energy [1], Total Variation (TV)based energies [2,3] and more recently non-local means [4]. Although TV energies are quite attractive because of their ability in edge preservation, standard explicit steepest gradient techniques have been applied to optimize fetal-based TV energies. The main contribution of this work lies in the introduction of a well-posed TV algorithm from the point of view of convex optimization. Specifically, our proposed TV optimization algorithm for fetal reconstruction is optimal w.r.t. the asymptotic and iterative convergence speeds O(1/n(2)) and O(1/root epsilon), while existing techniques are in O(1/n) and O(1/epsilon). We apply our algorithm to (1) clinical newborn data, considered as ground truth, and (2) clinical fetal acquisitions. Our algorithm compares favorably with the literature in terms of speed and accuracy.

Fast and Rigorous Computation of Gene and Pathway Scores from SNP-Based Summary Statistics.

Integrating single nucleotide polymorphism (SNP) p-values from genome-wide association studies (GWAS) across genes and pathways is a strategy to improve statistical power and gain biological insight. Here, we present Pascal (Pathway scoring algorithm), a powerful tool for computing gene and pathway scores from SNP-phenotype association summary statistics. For gene score computation, we implemented analytic and efficient numerical solutions to calculate test statistics. We examined in particular the sum and the maximum of chi-squared statistics, which measure the strongest and the average association signals per gene, respectively. For pathway scoring, we use a modified Fisher method, which offers not only significant power improvement over more traditional enrichment strategies, but also eliminates the problem of arbitrary threshold selection inherent in any binary membership based pathway enrichment approach. We demonstrate the marked increase in power by analyzing summary statistics from dozens of large meta-studies for various traits. Our extensive testing indicates that our method not only excels in rigorous type I error control, but also results in more biologically meaningful discoveries.