Indexed versus nominal government debt under inflation and price-level targeting

This paper presents a DSGE model in which long run inflation risk matters for social welfare. Optimal indexation of long-term government debt is studied under two monetary policy regimes: inflation targeting (IT) and price-level targeting (PT). Under IT, full indexation is optimal because long run inflation risk is substantial due to base-level drift, making indexed bonds a much better store of value than nominal bonds. Under PT, where long run inflation risk is largely eliminated, optimal indexation is substantially lower because nominal bonds become a better store of value relative to indexed bonds. These results are robust to the PT target horizon, imperfect credibility of PT and model calibration, but the assumption that indexation is lagged is crucial. From a policy perspective, a key finding is that accounting for optimal indexation has important welfare implications for comparisons of IT and PT.

Targeting mTORC2 inhibits colon cancer cell proliferation in vitro and tumor formation in vivo.

The mammalian target of rapamycin (mTOR), which exists in two functionally distinct complexes, mTORC1 and mTORC2 plays an important role in tumor growth. Whereas the role of mTORC1 has been well characterized in this process, little is known about the functions of mTORC2 in cancer progression. In this study, we explored the specific role of mTORC2 in colon cancer using a short hairpin RNA expression system to silence the mTORC2-associated protein rictor. We found that downregulation of rictor in HT29 and LS174T colon cancer cells significantly reduced cell proliferation. Knockdown of rictor also resulted in a G1 arrest as observed by cell cycle analysis. We further observed that LS174T cells deficient for rictor failed to form tumors in a nude mice xenograft model. Taken together, these results show that the inhibition of mTORC2 reduces colon cancer cell proliferation in vitro and tumor xenograft formation in vivo. They also suggest that specifically targeting mTORC2 may provide a novel treatment strategy for colorectal cancer.

Withdrawal, "serosorting" and "strategic positioning": use of risk reduction strategies with casual sex partners in men who have sex with men (MSM) in Switzerland, 2007

Introduction: 1) Withdrawal before ejaculation, "serosorting" (to choose a partner of same serostatus) and "strategic positioning" (only insertive vs. only receptive role in anal sex according to serostatus) are known to be used by MSM as alternatives to condom use. 2) Despite their questionable levels of effectiveness they are collectively labelled as "risk reduction strategies" (RRS). Objectives: The aim of this study is to estimate the prevalence and factors related to RRS in men who report unprotected anal intercourse (UAI) with occasional partners in the last 12 months. Methods: 1) In 2007, a module on RRS was included in a repeated national survey conducted among readers of gay newspapers, members of gay organizations and visitors of gay websites (N=2953). 2) Using an anonymous self-completed questionnaire, participants were asked whether, with the aim of avoiding HIV infection, RRS were used with occasional partners. Analysis: 1) Prevalences were calculated in participants who reported UAI with occasional partners in the last 12 months (n=416). 2) A logistic regression was performed, using "at least one RRS" as dependent variable. Number of partners in the last 12 months, HIV-status and usual socio-demographic characteristics were used as independent factors. Result : 1) 70% (292/416) of the participants reporting UAI used at least one RRS when they had unprotected sex with casual partners in the last 12 months (Table 1). 2) Withrawal before ejaculation was the most frequently reported strategy, followed by serosorting and strategic positioning (Table 1). 3) Participants who reported at least one RRS were more likely to be over 30 years and to belong to a gay organisation. HIV-positive and non-tested participants were less likely to report RRS than HIV-negative participants (Table 2). Conclusions: 1) The majority of MSM who reported UAI in the last 12 months tried to reduce risk of HIV transmission by using specific strategies (withdrawal, serosorting, strategic positioning). It is not known, however, to what extent the use of these strategies was systematic. 2) It is necessary to provide MSM with balanced information on these strategies and their respective level of effectiveness. 3) It is important to monitor the use of RRS in HIV behavioural surveillance surveys in MSM.

Central and Cortical Gray Mater Segmentation of Magnetic Resonance Images of the Fetal Brain

Motivation. The study of human brain development in itsearly stage is today possible thanks to in vivo fetalmagnetic resonance imaging (MRI) techniques. Aquantitative analysis of fetal cortical surfacerepresents a new approach which can be used as a markerof the cerebral maturation (as gyration) and also forstudying central nervous system pathologies [1]. However,this quantitative approach is a major challenge forseveral reasons. First, movement of the fetus inside theamniotic cavity requires very fast MRI sequences tominimize motion artifacts, resulting in a poor spatialresolution and/or lower SNR. Second, due to the ongoingmyelination and cortical maturation, the appearance ofthe developing brain differs very much from thehomogenous tissue types found in adults. Third, due tolow resolution, fetal MR images considerably suffer ofpartial volume (PV) effect, sometimes in large areas.Today extensive efforts are made to deal with thereconstruction of high resolution 3D fetal volumes[2,3,4] to cope with intra-volume motion and low SNR.However, few studies exist related to the automatedsegmentation of MR fetal imaging. [5] and [6] work on thesegmentation of specific areas of the fetal brain such asposterior fossa, brainstem or germinal matrix. Firstattempt for automated brain tissue segmentation has beenpresented in [7] and in our previous work [8]. Bothmethods apply the Expectation-Maximization Markov RandomField (EM-MRF) framework but contrary to [7] we do notneed from any anatomical atlas prior. Data set &Methods. Prenatal MR imaging was performed with a 1-Tsystem (GE Medical Systems, Milwaukee) using single shotfast spin echo (ssFSE) sequences (TR 7000 ms, TE 180 ms,FOV 40 x 40 cm, slice thickness 5.4mm, in plane spatialresolution 1.09mm). Each fetus has 6 axial volumes(around 15 slices per volume), each of them acquired inabout 1 min. Each volume is shifted by 1 mm with respectto the previous one. Gestational age (GA) ranges from 29to 32 weeks. Mother is under sedation. Each volume ismanually segmented to extract fetal brain fromsurrounding maternal tissues. Then, in-homogeneityintensity correction is performed using [9] and linearintensity normalization is performed to have intensityvalues that range from 0 to 255. Note that due tointra-tissue variability of developing brain someintensity variability still remains. For each fetus, ahigh spatial resolution image of isotropic voxel size of1.09 mm is created applying [2] and using B-splines forthe scattered data interpolation [10] (see Fig. 1). Then,basal ganglia (BS) segmentation is performed on thissuper reconstructed volume. Active contour framework witha Level Set (LS) implementation is used. Our LS follows aslightly different formulation from well-known Chan-Vese[11] formulation. In our case, the LS evolves forcing themean of the inside of the curve to be the mean intensityof basal ganglia. Moreover, we add local spatial priorthrough a probabilistic map created by fitting anellipsoid onto the basal ganglia region. Some userinteraction is needed to set the mean intensity of BG(green dots in Fig. 2) and the initial fitting points forthe probabilistic prior map (blue points in Fig. 2). Oncebasal ganglia are removed from the image, brain tissuesegmentation is performed as described in [8]. Results.The case study presented here has 29 weeks of GA. Thehigh resolution reconstructed volume is presented in Fig.1. The steps of BG segmentation are shown in Fig. 2.Overlap in comparison with manual segmentation isquantified by the Dice similarity index (DSI) equal to0.829 (values above 0.7 are considered a very goodagreement). Such BG segmentation has been applied on 3other subjects ranging for 29 to 32 GA and the DSI hasbeen of 0.856, 0.794 and 0.785. Our segmentation of theinner (red and blue contours) and outer cortical surface(green contour) is presented in Fig. 3. Finally, torefine the results we include our WM segmentation in theFreesurfer software [12] and some manual corrections toobtain Fig.4. Discussion. Precise cortical surfaceextraction of fetal brain is needed for quantitativestudies of early human brain development. Our workcombines the well known statistical classificationframework with the active contour segmentation forcentral gray mater extraction. A main advantage of thepresented procedure for fetal brain surface extraction isthat we do not include any spatial prior coming fromanatomical atlases. The results presented here arepreliminary but promising. Our efforts are now in testingsuch approach on a wider range of gestational ages thatwe will include in the final version of this work andstudying as well its generalization to different scannersand different type of MRI sequences. References. [1]Guibaud, Prenatal Diagnosis 29(4) (2009). [2] Rousseau,Acad. Rad. 13(9), 2006, [3] Jiang, IEEE TMI 2007. [4]Warfield IADB, MICCAI 2009. [5] Claude, IEEE Trans. Bio.Eng. 51(4) (2004). [6] Habas, MICCAI (Pt. 1) 2008. [7]Bertelsen, ISMRM 2009 [8] Bach Cuadra, IADB, MICCAI 2009.[9] Styner, IEEE TMI 19(39 (2000). [10] Lee, IEEE Trans.Visual. And Comp. Graph. 3(3), 1997, [11] Chan, IEEETrans. Img. Proc, 10(2), 2001 [12] Freesurfer,http://surfer.nmr.mgh.harvard.edu.

Semi-supervised segmentation of ultrasound images based on patch representation and continuous min cut.

Ultrasound segmentation is a challenging problem due to the inherent speckle and some artifacts like shadows, attenuation and signal dropout. Existing methods need to include strong priors like shape priors or analytical intensity models to succeed in the segmentation. However, such priors tend to limit these methods to a specific target or imaging settings, and they are not always applicable to pathological cases. This work introduces a semi-supervised segmentation framework for ultrasound imaging that alleviates the limitation of fully automatic segmentation, that is, it is applicable to any kind of target and imaging settings. Our methodology uses a graph of image patches to represent the ultrasound image and user-assisted initialization with labels, which acts as soft priors. The segmentation problem is formulated as a continuous minimum cut problem and solved with an efficient optimization algorithm. We validate our segmentation framework on clinical ultrasound imaging (prostate, fetus, and tumors of the liver and eye). We obtain high similarity agreement with the ground truth provided by medical expert delineations in all applications (94% DICE values in average) and the proposed algorithm performs favorably with the literature.

Tackling Equality and Targeting Social Need - Improving the Infrastucture (PDF 101 KB)

This paper considers two recent initiatives in Northern Ireland relating to targeting social need and inequalities. While the paper deals with each separately they should be seen as complementary. Therefore, many of the points made in relation to one are also pertinent to the other. åÊ

Tackling Equality and Targeting Social Need (PDF 80 KB)

Statistics Users Council Annual Conference This paper considers two recent initiatives in NI relating to targeting social need, and inequalities. While the paper deals with each separately they should be seen as complementary. Therefore, many of the points made in relation to one are also pertinent to the other. åÊ

MP2RAGE, a self bias-field corrected sequence for improved segmentation and T-1-mapping at high field

The large spatial inhomogeneity in transmit B, field (B-1(+)) observable in human MR images at hi h static magnetic fields (B-0) severely impairs image quality. To overcome this effect in brain T-1-weighted images the, MPRAGE sequence was modified to generate two different images at different inversion times MP2RAGE By combining the two images in a novel fashion, it was possible to create T-1-weigthed images where the result image was free of proton density contrast, T-2* contrast, reception bias field, and, to first order transmit field inhomogeneity. MP2RAGE sequence parameters were optimized using Bloch equations to maximize contrast-to-noise ratio per unit of time between brain tissues and minimize the effect of B-1(+) variations through space. Images of high anatomical quality and excellent brain tissue differentiation suitable for applications such as segmentation and voxel-based morphometry were obtained at 3 and 7 T. From such T-1-weighted images, acquired within 12 min, high-resolution 3D T-1 maps were routinely calculated at 7 T with sub-millimeter voxel resolution (0.65-0.85 mm isotropic). T-1 maps were validated in phantom experiments. In humans, the T, values obtained at 7 T were 1.15 +/- 0.06 s for white matter (WM) and 1.92 +/- 0.16 s for grey matter (GM), in good agreement with literature values obtained at lower spatial resolution. At 3 T, where whole-brain acquisitions with 1 mm isotropic voxels were acquired in 8 min the T-1 values obtained (0.81 +/- 0.03 S for WM and 1.35 +/- 0.05 for GM) were once again found to be in very good agreement with values in the literature. (C) 2009 Elsevier Inc. All rights reserved.

Targeting Angiogenesis in Glioma - Challenges and Pitfalls

Malignant gliomas, notably glioblastoma are among the most vascularized and angiogenic cancers, and microvascular proliferation is one of the hallmarks for the diagnosis of glioblastoma. Angiogenesis is regulated by a balance of pro- and antiangiogenic signals; overexpression of VEGF and activation of its receptors, most notable VEGFR-2 and -3, results in endothelial cell proliferation and leaky vasculature. Heterogeneous perfusion and oxygenation, peritumoral edema and increased interstitial pressure are the consequence. Both endothelial and tumour cells are strongly dependent on integrin-mediated adhesion for cell proliferation, survival, migration and invasion.Strategies aiming at inhibition of cell signaling and angiogenesis, including integrin inhibitors, have been clinically investigated in gliomas over the last 5 years. Radiological responses, a decreased requirement of corticosteroids and temporary improvement in performance status have repeatedly been observed. Toxicity was mild-moderate and manageable, notably there was no evidence for a substantially increased incidence of intracranial bleeding. However definitive comparative (randomized !) investigation has failed to demonstrate improved outcome with singleagent inhibition of EGFR, or PDGFR or VEGF/VEGFRs pathways in recurrent glioblastoma. Definitive phase III trials combining the anti- VEGF monoclonal antibody bevacizumab, or cilengitide, a peptidic integrininhibitor, together with temozolomide and radiotherapy are ongoing (accrual completed).The integration of anti-angiogenic strategies in the management of malignant glioma also poses entirely new challenges in patient management: 1) Many agents are known for increasing the risk of thrombosis, embolism and intracranial bleeding. 2) Evaluation of treatment efficacy is difficult and new biomarkers of activity, including functional, metabolic or molecular imaging techniques are urgently needed. Normalization of vasculature leads to decrease in contrast enhancement without necessarily reflecting tumour shrinkage. Tumour heterogeneity, putative prognostic or predictive factors require early controlled trials, novel trial designs and endpoints.3) Activation of alternate pathways and tumour escape mechanisms may require combination of multiple agents, which is often not feasible due to regulatory restrictions and potential complex toxicities. Emerging clinical and experimental evidence suggests that anti-angiogenic drugs might need to be combined with drugs targeting tumour adaptive mechanisms in addition to cytotoxic chemotherapy and irradiation for a maximal antitumour effect.

Targeting the intragraft microenvironment and the development of chronic allograft rejection.

In this review, we discuss a paradigm whereby changes in the intragraft microenvironment promote or sustain the development of chronic allograft rejection. A key feature of this model involves the microvasculature including (a) endothelial cell (EC) destruction, and (b) EC proliferation, both of which result from alloimmune leukocyte- and/or alloantibody-induced responses. These changes in the microvasculature likely create abnormal blood flow patterns and thus promote local tissue hypoxia. Another feature of the chronic rejection microenvironment involves the overexpression of vascular endothelial growth factor (VEGF). VEGF stimulates EC activation and proliferation and it has potential to sustain inflammation via direct interactions with leukocytes. In this manner, VEGF may promote ongoing tissue injury. Finally, we review how these events can be targeted therapeutically using mTOR inhibitors. EC activation and proliferation as well as VEGF-VEGFR interactions require PI-3K/Akt/mTOR intracellular signaling. Thus, agents that inhibit this signaling pathway within the graft may also target the progression of chronic rejection and thus promote long-term graft survival.

Chronic Trypanosoma cruzi-elicited cardiomyopathy: from the discovery to the proposal of rational therapeutic interventions targeting cell adhesion molecules and chemokine receptors - how to make a dream come true

One hundred years ago, Carlos Chagas discovered a new disease, the American trypanosomiasis. Chagas and co-workers later characterised the disease's common manifestation, chronic cardiomyopathy, and suggested that parasitic persistence coupled with inflammation was the key underlying pathogenic mechanism. Better comprehension of the molecular mechanisms leading to clinical heart afflictions is a prerequisite to developing new therapies that ameliorate inflammation and improve heart function without hampering parasite control. Here, we review recent data showing that distinct cell adhesion molecules, chemokines and chemokine receptors participate in anti-parasite immunity and/or detrimental leukocyte trafficking to the heart. Moreover, we offer evidence that CC-chemokine receptors may be attractive therapeutic targets aiming to regain homeostatic balance in parasite/host interaction thereby improving prognosis, supporting that it is becoming a non-phantasious proposal.

Improving Clustering Algorithms for Image Segmentation using Contour and Region Information

In image segmentation, clustering algorithms are very popular because they are intuitive and, some of them, easy to implement. For instance, the k-means is one of the most used in the literature, and many authors successfully compare their new proposal with the results achieved by the k-means. However, it is well known that clustering image segmentation has many problems. For instance, the number of regions of the image has to be known a priori, as well as different initial seed placement (initial clusters) could produce different segmentation results. Most of these algorithms could be slightly improved by considering the coordinates of the image as features in the clustering process (to take spatial region information into account). In this paper we propose a significant improvement of clustering algorithms for image segmentation. The method is qualitatively and quantitative evaluated over a set of synthetic and real images, and compared with classical clustering approaches. Results demonstrate the validity of this new approach

Plane-to-plane positioning from image-based visual servoing and structured light

In this paper we face the problem of positioning a camera attached to the end-effector of a robotic manipulator so that it gets parallel to a planar object. Such problem has been treated for a long time in visual servoing. Our approach is based on linking to the camera several laser pointers so that its configuration is aimed to produce a suitable set of visual features. The aim of using structured light is not only for easing the image processing and to allow low-textured objects to be treated, but also for producing a control scheme with nice properties like decoupling, stability, well conditioning and good camera trajectory

Targeting anticancer therapy : clinical and preclinical approaches

AbstractCancer treatment has shifted from cytotoxic and nonspecific chemotherapy to chronic treatment with targeted molecular therapies. These new classes of drugs directed against cancer-specific molecules and signaling pathways, act at a particular level of the tumor cell development. However, in both types of therapeutic approaches (standard cytotoxic chemotherapy and targeted signal transduction inhibitions), toxicity and side effects can occur. The aim of this thesis was to investigate various approaches to improve the activity and tolerability of cancer treatment, in a clinical setting, a) by molecular targeting through the use of tyrosine kinase inhibitors (TKIs), whose dosage can be adapted to each patient according to plasma levels, and, b) in a preclinical model, by tissue targeting with locoregional administration of cytotoxic chemotherapy to increase drug exposure in the target tissue while reducing systemic toxicity of the treatment.A comprehensive program for the Therapeutic Drug Monitoring (TDM) of the new class of targeted anticancer drugs of TKIs in patient's blood has been therefore initiated comprising the setting up, validation and clinical application of a multiplex assay by liquid chromatography coupled to tandem mass spectrometry of TKIs in plasma from cancer patients. Information on drugs exposure may be clinically useful for an optimal follow-up of patients' anticancer treatment, especially in case of less than optimal clinical response, occurrence of adverse drug reaction effects and the numerous risks of drug-drug interactions. In this context, better knowledge of the potential drug interactions between TKIs and widely prescribed co- medications is of critical importance for clinicians, to improve their daily care of cancer patients. For one of the first TKI imatinib, TDM interpretation is nowadays based on total plasma concentrations but, only the unbound (free) form is likely to enter cell to exert its pharmacological action. Pharmacokinetic analysis of the total and free plasma level of imatinib measured simultaneously in patients have allowed to refine and validate a population pharmacokinetic model integrating factors influencing in patients the exposure of pharmacological active species. The equation developed from this model may be used for extrapolating free imatinib plasma concentration based on the total plasma levels that are currently measured in TDM from patients. Finally, the specific influence of Pglycoprotein on the intracellular disposition of TKIs has been studies in cell systems using the siRNA silencing approach.Another approach to enhance the selectivity of anticancer treatment may be achieved by the loco-regional administration of a cytostatic agent to the target organ while sparing non- affected tissues. Isolated lung perfusion (ILP) was designed for the treatment of loco-regional malignancies of the lung but clinical results have been so far disappointing. It has been shown in a preclinical model in rats that ILP with the cytotoxic agent doxorubicin alone allows a high drug uptake in lung tissue, and a low systemic toxicity, but was characterized by a high spatial tissular heterogeneity in drug exposure and doxorubicin uptake in tumor was comparatively smaller than in normal lung tissue. Photodynamic therapy (PDT) is a new approach for the treatment of superficial tumors, and implies the application of a sensitizer activated by a laser light at a specific wavelength, that disrupts endothelial barrier of tumor vessels to increase locally the distribution of cytostatics into the tumor tissue. PDT pre-treatment before intravenous administration of liposomal doxorubicin was indeed shown to selectively increase drug uptake in tumors in a rat model of sarcoma tumors to the lung.RésuméLe traitement de certains cancers s'est progressivement transformé et est passé de la chimiothérapie, cytotoxique et non spécifique, au traitement chronique des patients avec des thérapies moléculaires ciblées. Ces médicaments ont une action ciblée en interférant à un niveau spécifique du développement de la cellule tumorale. Dans les deux types d'approches thérapeutiques (chimiothérapie cytotoxique et traitements ciblés), on est confronté à la présence de toxicité et aux effets secondaires du traitement anticancéreux. Le but de cette thèse a donc été d'étudier diverses approches visant à améliorer l'efficacité et la tolérabilité du traitement anticancéreux, a) dans le cadre d'une recherche clinique, par le ciblage moléculaire grâce aux inhibiteurs de tyrosines kinases (TKIs) dont la posologie est adaptée à chaque patient, et b) dans un modèle préclinique, par le ciblage tissulaire grâce à l'administration locorégionale de chimiothérapie cytotoxique, afin d'augmenter l'exposition dans le tissu cible et de réduire la toxicité systémique du traitement.Un programme de recherche sur le suivi thérapeutique (Therapeutic Drug Monitoring, TDM) des inhibiteurs de tyrosine kinases a été ainsi mis en place et a impliqué le développement, la validation et l'application clinique d'une méthode multiplex par chromatographie liquide couplée à la spectrométrie de masse en tandem des TKIs chez les patients souffrant de cancer. L'information fournie par le TDM sur l'exposition des patients aux traitements ciblés est cliniquement utile et est susceptible d'optimiser la dose administrée, notamment dans les cas où la réponse clinique au traitement des patients est sous-optimale, en présence d'effets secondaires du traitement ciblé, ou lorsque des risques d'interactions médicamenteuses sont suspectés. Dans ce contexte, l'étude des interactions entre les TKIs et les co-médications couramment associées est utile pour les cliniciens en charge d'améliorer au jour le jour la prise en charge du traitement anticancéreux. Pour le premier TKI imatinib, l'interprétation TDM est actuellement basée sur la mesure des concentrations plasmatiques totales alors que seule la fraction libre (médicament non lié aux protéines plasmatiques circulantes) est susceptible de pénétrer dans la cellule pour exercer son action pharmacologique. L'analyse pharmacocinétique des taux plasmatiques totaux et libres d'imatinib mesurés simultanément chez les patients a permis d'affiner et de valider un modèle de pharmacocinétique de population qui intègre les facteurs influençant l'exposition à la fraction de médicament pharmacologiquement active. L'équation développée à partir de ce modèle permet d'extrapoler les concentrations libres d'imatinib à partir des concentrations plasmatiques totales qui sont actuellement mesurées lors du TDM des patients. Finalement, l'influence de la P-glycoprotéine sur la disposition cellulaire des TKIs a été étudiée dans un modèle cellulaire utilisant l'approche par la technologie du siRNA permettant de bloquer sélectivement l'expression du gène de cette protéine d'efflux des médicaments.Une autre approche pour augmenter la sélectivité du traitement anticancéreux consiste en une administration loco-régionale d'un agent cytostatique directement au sein de l'organe cible tout en préservant les tissus sains. La perfusion isolée du poumon (ILP) a été conçue pour le traitement loco-régional des cancers affectant les tissus pulmonaires mais les résultats cliniques ont été jusqu'à ce jour décevants. Dans des modèles précliniques chez le rat, il a pu être démontré que l'ILP avec la doxorubicine, un agent cytotoxique, administré seul, permet une exposition élevée au niveau du tissu pulmonaire, et une faible toxicité systémique. Toutefois, cette technique est caractérisée par une importante variabilité de la distribution dans les tissus pulmonaires et une pénétration du médicament au sein de la tumeur comparativement plus faible que dans les tissus sains.La thérapie photodynamique (PDT) est une nouvelle approche pour le traitement des tumeurs superficielles, qui consiste en l'application d'un agent sensibilisateur activé par une lumière laser de longueur d'onde spécifique, qui perturbe l'intégrité physiologique de la barrière endothéliale des vaisseaux alimentant la tumeur et permet d'augmenter localement la pénétration des agents cytostatiques.Nos études ont montré qu'un pré-traitement par PDT permet d'augmenter sélectivement l'absorption de doxorubicine dans les tumeurs lors d'administration i.v. de doxorubicine liposomale dans un modèle de sarcome de poumons de rongeurs.Résumé large publicDepuis une dizaine d'année, le traitement de certains cancers s'est progressivement transformé et les patients qui devaient jusqu'alors subir des chimiothérapies, toxiques et non spécifiques, peuvent maintenant bénéficier de traitements chroniques avec des thérapies ciblées. Avec les deux types d'approches thérapeutiques, on reste cependant confronté à la toxicité et aux effets secondaires du traitement.Le but de cette thèse a été d'étudier chez les patients et dans des modèles précliniques les diverses approches visant à améliorer l'activité et la tolérance des traitements à travers un meilleur ciblage de la thérapie anticancéreuse. Cet effort de recherche nous a conduits à nous intéresser à l'optimisation du traitement par les inhibiteurs de tyrosines kinases (TKIs), une nouvelle génération d'agents anticancéreux ciblés agissant sélectivement sur les cellules tumorales, en particulier chez les patients souffrant de leucémie myéloïde chronique et de tumeurs stromales gastro-intestinales. L'activité clinique ainsi que la toxicité de ces TKIs paraissent dépendre non pas de la dose de médicament administrée, mais de la quantité de médicaments circulant dans le sang auxquelles les tumeurs cancéreuses sont exposées et qui varient beaucoup d'un patient à l'autre. A cet effet, nous avons développé une méthode par chromatographie couplée à la spectrométrie de masse pour mesurer chez les patients les taux de médicaments de la classe des TKIs dans la perspective de piloter le traitement par une approche de suivi thérapeutique (Therapeutic Drug Monitoring, TDM). Le TDM repose sur la mesure de la quantité de médicament dans le sang d'un patient dans le but d'adapter individuellement la posologie la plus appropriée: des quantités insuffisantes de médicament dans le sang peuvent conduire à un échec thérapeutique alors qu'un taux sanguin excessif peut entraîner des manifestations toxiques.Dans une seconde partie préclinique, nous nous sommes concentrés sur l'optimisation de la chimiothérapie loco-régionale dans un modèle de sarcome du poumon chez le rat, afin d'augmenter l'exposition dans la tumeur tout en réduisant la toxicité dans les tissus non affectés.La perfusion isolée du poumon (ILP) permet d'administrer un médicament anticancéreux cytotoxique comme la doxorubicine, sélectivement au niveau le tissu pulmonaire où sont généralement localisées les métastases de sarcome. L'administration par ILP de doxorubicine, toxique pour le coeur, a permis une forte accumulation des médicaments dans le poumon, tout en épargnant le coeur. Il a été malheureusement constaté que la doxorubicine ne pénètre que faiblement dans la tumeur sarcomateuse, témoignant des réponses cliniques décevantes observées avec cette approche en clinique. Nous avons ainsi étudié l'impact sur la pénétration tumorale de l'association d'une chimiothérapie cytotoxique avec la thérapie photodynamique (PDT) qui consiste en l'irradiation spécifique du tissu-cible cancéreux, après l'administration d'un agent photosensibilisateur. Dans ce modèle animal, nous avons observé qu'un traitement par PDT permet effectivement d'augmenter de façon sélective l'accumulation de doxorubicine dans les tumeurs lors d'administration intraveineuse de médicament.