京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第21960号 / 医博第4502号 / 新制||医||1037(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 平井 豊博, 教授 松原 和夫, 教授 湊谷 謙司 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

京都大学 / 0048 / 新制・論文博士 / 博士(医学) / 乙第13158号 / 論医博第2145号 / 新制||医||1029(附属図書館) / (主査)教授 川上 浩司, 教授 戸井 雅和, 教授 松田 秀一 / 学位規則第4条第2項該当 / Doctor of Medical Science / Kyoto University / DFAM

No description available.

Sphingosine kinase 1 (SphK1) is the key enzyme catalyzing the formation of sphingosine-1-phosphate (S1P), which is an important signaling molecule that regulates multiple biological process including inflammatory responses. Elevated SphK1 activity as well as upregulated S1P levels is linked to various diseases such as cancer, fibrosis and sickle cell disease. Therefore, there is a growing interest in studying SphK1 as a potential target for these diseases. Through high-throughput screening, various SphK1 inhibitors have been discovered, among which PF-543 is the most potent and selective inhibitor reported to date (Ki=3.6 nM, >100 fold selectivity for SphK1). Previous research indicated that SphK1 inhibitor PF-543 is effective in reducing S1P levels and slowing down the development of sickle cell disease in vivo. However, the lack of in vivo stability of PF-543 still makes it necessary to develop inhibitors with an improved pharmacokinetic profile. In this study, PF-543 was employed as the lead compound, and the influence of different tails groups and head groups on binding affinity and in vivo stability were investigated. In brief, (R)-prolinol-based derivatives with various tail groups including alkyl, alkoxy and biphenyl groups were synthesized. Their inhibition potency was tested in a broken-cell assay, and hit compounds were further evaluated in a yeast cell assay to determine EC50 values. The U937 cell line and mice model were utilized for hit compounds to quantify S1P reduction in vitro and in vivo. Our preliminary results indicated compound 2.14d was the best hit discovered, with 88% SphK1 inhibition at 1 μM. In addition, compound 2.14d with a Ki of 0.68 μM and an EC50 of 0.15 μM, reduced the S1P of U937 cells by 90% at 1 μM. Its analog with a shorter tail group, 2.14a, reduced plasma S1P levels by 20% in mice (10 mg/kg, 3 h). Further modification of the head group of 2.14d produced compound 3.14c bearing a secondary benzylamine head group, with an EC50 value of 0.39 μM and less in vivo activity (14% plasma S1P reduction at 10 mg/kg, 6 h). / Doctor of Philosophy / Sphingosine-1-phosphate (S1P) is a molecule related to various diseases, such as cancers and inflammatory diseases. Elevated levels of S1P promote the development of these diseases, thus making it necessary to reduce the production of S1P in patients. Since S1P is generated in human body by an enzyme called sphingosine kinase (SphK), inhibiting the activity of SphK can be beneficial for reducing S1P levels. Developing inhibitors for SphK is also a promising strategy for curing such diseases. A very potent inhibitor has been reported, but it could be metabolized quickly into other inactive metabolites in human, which renders it ineffective. To develop better drug candidates, a series of compounds with similar structure has been synthesized and tested for their potency and metabolic stability. Based on analysis of the relationship between the compound structures and activities, several compounds with less potency and different metabolic stability has been prepared and their efficacy in reducing S1P levels has been tested.

Thesis (Ph.D. in Microbiology) -- University of Colorado Denver, 2007. / Typescript. Abstract available online via ProQuest Digital Dissertations. Includes bibliographical references (leaves 207-223).

Thesis (Ph.D. in Toxicology) -- University of Colorado Denver, 2008. / Typescript. Includes bibliographical references (leaves 144-170). Free to UCD Anschutz Medical Campus. Online version available via ProQuest Digital Dissertations;

Hintergrund Die chronische myeloische Leukämie (CML) ist eine myeloproliferative Er- krankung, die aufgrund ihres Modellcharakters unter der Behandlung mit Tyrosin-Kinase- Inhibitoren (TKI) gut für eine Beschreibung mittels computerbasierter Modelle geeignet ist. Grundlage für die Entstehung einer CML ist die Bildung eines Philadelphia-Chromosoms durch eine Translokation der Chromosomen 9 und 22. Es resultiert das Onkogen BCR- ABL1, welches für eine konstitutiv aktive Tyrosinkinase codiert. Diese führt zu ungeregelter Proliferation der betroffen Zellen und zur Verdrängung der gesunden Blutbildung. Das überaktivierte Protein kann durch TKIs gezielt gehemmt werden. Damit ist es möglich, die Tumorlast erheblich zu senken und das Fortschreiten der Erkrankung aufzuhalten. Aktuell werden in der klinischen Anwendung außerhalb von Studien TKIs für die gesamte Lebensdauer der Patienten eingesetzt. Absetzstudien zeigten, dass circa 50% der Patienten nach einer über zwei Jahren nicht nachweisbaren BCR-ABL1-Last nach Behandlungsstopp kein erneutes Anwachsen der Tumorlast aufwiesen. Die Anwendung von computergestützten Modellsimulationen hilft, Zugriff auf die klinisch nur schwer zu messenden leukämischen Stammzellen zu bekommen und darüber Vorhersagen über den weiteren Therapieverlauf zu treffen. Aufgabenstellung Im Rahmen der vorliegenden Arbeit sollen Möglichkeiten der Übertragung von Patientendaten auf das etablierte Modell nach Roeder und Loeffler (2002) verbessert werden. Die vom Modell vorhergesagten Stammzellkinetiken sollen abschließend auf Praxistauglichkeit geprüft werden. Material und Methoden Aufgrund der Vergleichbarkeit zu früheren Untersuchungen erfolgte die Auswahl von 51 Patienten des deutsches Armes der IRIS-Studie. Deren Therapieverläufe wurden analysiert und können über eine biphasische exponentielle (biexponentielle) bzw. über eine stückweise lineare Funktion beschreiben werden. Als Erweiterung der Arbeiten von Horn et al. (2013) wurden alle Parameter der biexponentiellen Funktion in die Entwicklung neuer Methoden einbezogen. Zusätzlich wurde untersucht, ob die Einbeziehung von zensierten Messpunkte die Form der biexponentiellen Funktion verändert. Basierend auf den Therapiedaten der IRIS-Patienten erfolgte die Ermittlung eines Para meterraumes für Eingangsparameter der Modellsimulation (Modellparameter), welcher in 270.400 individuelle Paramterkombinationen unterteilt wurde. Es erfolgten anschließend die Simulation und Auswertung nach der biexponentiellen Beschreibung. Auf Basis dieser erheblich größeren Datengrundlage konnten zwei neue Verfahren der Modellparameteridentifikation für individuelle Patienten entwickelt werden. Einerseits wurde in Anlehnung an die Arbeit von Horn et al. (2013) ein Verfahren unter Nutzung der Regression vorgestellt. Andererseits konnte über den Vergleich der Abstände zwischen simulierten und realen Therapieverläufen eine Suche (lookup-table) etabliert werden. Die Berechnung des Abstandes zwischen Therapieverläufen ermöglicht gleichzeitig den Vergleich der verschiedenen Verfahren und damit eine Aussage über deren Anpassungsgüte. Zum Schluss wurde beispielhaft für einen Patienten das Verfahren der lookup-table angewendet und die resultierende Stammzellkinetik weiter analysiert. Ergebnisse Einführend erfolgte die Analyse der resultierenden biexponentiellen Funktion mit und ohne Einbeziehung von Messunsicherheiten. Es zeigte sich, dass der Verlauf dieser Funktion besonders in Bereichen, die von einbezogenen Messunsicherheiten betroffen sind, abweichend ist. Die Beschreibung des Langzeitverlaufs erfolgt jedoch annähernd gleich. Anschließend erfolgte die Validierung der Größe des vorsimulierten Datenpool anhand eines Vergleichs der statistischen Parameter von Patienten und Simulationen. Dieser zeigte sich dabei für die weiteren Untersuchungen geeignet. Die Nutzung der lookup-table zur Identifikation der am besten zu einem Patienten passenden Therapiesimulation ist überlegen sowohl gegenüber von der Horn et al. (2013) beschriebenen als auch in dieser Arbeit neu entwickelten Regressionsverfahren. Diese ergeben deutliche Abweichungen zwischen Patientendaten und Simulation. Eine Analyse des vorhergesagten Therapieverlaufes im Stammzellkompartiment ergibt jedoch, dass ähnliche Therapieverläufe im peripheren Blut durch stark unterschiedliche Stammzellkonfigurationen beschrieben werden können. Es resultiert eine starke Streuung der vorhergesagten Zeitpunkte eines möglichen Therapieendes. Schlussfolgerungen Die Nutzung der lookup-table zu Identifikation einer passenden Therapiesimulation ist hoch effektiv und anderen Verfahren, die auf Regression basieren, überlegen. Die etablierte Computersimulation nach Roeder und Loeffler (2002) bietet Zugriff auf die Therapie in der Ebene der Stammzellen. Die in weiteren Analysen gezeigten Streuungen der vorhergesagten Therapieverläufe im Stammzellkompartiment lassen den Schluss zu, dass Methoden zur Eingrenzung der Stammzellverläufe entwickelt werden müssen, um die Vorhersagen klinisch nutzbar zu machen. Weiterhin muss anhand von Messungen an Knochenmarkproben von realen Patienten geprüft werden, ob die von der Simulation postulierten Verläufe der Tumorlast im Stammzellkompartiment der realen Behandlung entsprechen. Ausblick Die in aktuellen Arbeiten beschriebene Rolle des Immunsystems im Therapieverlauf der CML (Saussele et al. 2016; Clapp et al. 2016) sollte in eine Verbesserung des Stammzellmodells nach Roeder und Loeffler (2002) einfließen. Weiterhin kann die Validierung der im Rahmen der Individualmedizin zu treffenden Absetzvorhersagen letztendlich nur über klinische Absetzuntersuchungen ermöglicht werden. / Background Chronic myeloic leukaemia (CML) is a myeloproliferative disease, which is well suited for modelling approaches. It is characterized by the oncogenic BCR-ABL1 fusion gene originating from an inverse translocation of the chromosomes 9 and 22 leading to the Philadelphia chromosome. The result is a constitutively activated tyrosine-kinase. This is followed by an extensive proliferation of leukaemic stem cells leading to a displacement of normal haematopoesis. The molecular specificity of CML forms the basis of a highly efficient, targeted therapy by tyrosine kinase inhibitors (TKIs). TKIs can decrease the tumour burden and slow down or eventually stop progressing of the disease. Currently, in clinical applications drugs are administered for the remaining life span. Interestingly, in recent treatment cessation trials patients were stopped after two years of non-detectable tumour burden and about 50% remained without relapse. The application of computer-based modelling helps to gain access to stem cell counts being difficult to measure clinically. This forms the basis for predictions of long-term therapy outcomes. Aim of this work This work aims on identifying a suitable algorithm to efficiently identify model simulations that optimally decribe individual patient kinetics. Furthermore, the clinical usability of the new methods was investigated. Material and methods The analysed group of patients was chosen out of the German cohort of the IRIS trial to ensure comparability to former investigations. It consists of 51 individuals. The course of leukaemic burden , i. e. leukaemic vs. non-leukaemic cells on a single patient level can be described as a biphasic exponential (bi-exponential) or a piecewise linear function. As an extension to former methods described by Horn et al. (2013) all parameters are included into further method development. Additionally, an investigation was conducted whether censored data points change the functional behaviour of a bi-exponential fit based on patients’ data. According to therapy data of all patients an input parameter space for the model simulation was delimited, such that all observed patient kinetics can be mimicked by the model. This parameter space was uniformly divided into 270.400 discrete parameter combinations. The therapy simulation of each combination was conducted and described by a bi-exponential function likewise to the patients’ fit. With the help of these huge variety of in silico therapies two new methods of model parameter identification for individual patients were developed. The first one is an advanced approach based on a regression model proposed by Horn et al. (2013). The second one by comparing distances between the patients’ and the models’ bi-exponential functions (lookup table). The comparison of the distances between different therapy courses (either simulated or patients’ data) was also used to compare the quality of different methods. As an example, for one patient the stem cell kinetics from the model were analysed in more detail and checked for robustness. Such a strategy, which might build the basis for clinical applications. Results A comparison between the different bi-exponential functions with and without censored data points revealed differences especially in the area in which censoring was performed. However, for the long-term tumour burden censored data had no influence. Secondly, an investigation was performed showing the sufficiency of the pre-simulated therapy courses for the new methods, i. e. lookup-table and regression models. The lookup- table turns out to be superior to identify a therapy simulation for a unique patient, since the complexity of linear regression models lead to increased deviations between patients’ therapy courses and the simulations. Unfortunately, distinct stem cell configurations lead to similar therapy descriptions in peripheral blood, assuming the correctness of the model. As a result, the prediction of a safe treatment cessation is often widely spread. Conclusions The new developed lookup-table to identify model simulations suitable for an individual patient is highly effective and superior to other methods using regression models. The simulation of the TKI treatment using the agent-based model of Roeder und Loeffler (2002) gives easy access to therapy courses on the level of leukaemic stem cells. Unfortunately, the finding of a well fitting simulation within the peripheral blood is not enough to provide a point of safe treatment cessation, since different stem cell configurations can lead to similar therapy courses. Additionally, it is necessary to check which of the assumed therapy courses on the stem cell level is appropriate. This could be done by gathering more information from bone-marrow punctures during the course of treatment. Outlook Investigations of new data showed the important role of the immune system in CML treatment (Saussele et al. 2016; Clapp et al. 2016). This should be taken into account by improving the model of Roeder und Loeffler (2002). Additionally, data from cessation trials can be used to validate the model assumptions.

Des mutations faux-sens au niveau du récepteur à activité tyrosine kinase FGFR3 (Fibroblast Growth Factor Receptor 3) entrainent sa suractivation qui apporte des dysfonctions biologiques dans plusieurs maladies. L’achondroplasie, la forme la plus commune de chondrodysplasie liée à Fgfr3, est une maladie génétique rare, touchant 1 nouveau-né sur 20 000, caractérisée par des signes cliniques spécifiques : nanisme rhizomélique, membres courts, macrocéphalie, hypoplasie de l’étage moyen de la face, compression cervico-médullaire. L’activité anormale du récepteur induit des défauts de l’ossification endochondrale responsables du phénotype pathologique. Pendant longtemps le seul traitement pour cette maladie a été l’allongement chirurgical des membres, cependant au cours des dernières années de nombreux chercheurs ont développé des potentielles stratégies thérapeutiques basées sur des études moléculaires. L’objectif de ma thèse était d’évaluer une nouvelle approche thérapeutique pour l’achondroplasie. Une stratégie thérapeutique prometteuse prévoit l’utilisation de petits inhibiteurs chimiques, connus sous le nom d’inhibiteurs de tyrosine kinases, qui sont capables d’arrêter l’activité de FGFR3. J’ai estimé les effets d’un de ces composés, NVP-BGJ398, dans un modèle murin mimant le nanisme achondroplase (Fgfr3Y367C/+). Des expérimentations effectuées ont montré une amélioration des caractéristiques pathologiques dans les souris traitées avec NVP-BGJ398. Nous avons également examiné l’impact de la mutation activatrice de FGFR3 sur le développement mandibulaire. L’étude a reconnu un défaut dans la croissance mandibulaire chez l’homme et la souris atteints. En outre nous avons pu investiguer la croissance osseuse de la mandibule et corriger le défaut pathologique avec NVP-BGJ398. Enfin j’ai participé à des analyses moléculaires pour décrire comment trois mutations de FGFR3 localisées à la même position (Lys650) peuvent induire trois différents nanismes avec sévérité croissante. Les résultats ont fourni une meilleure compréhension des mécanismes moléculaires pathologiques et pourront mener à des nouvelles cibles pour des approches thérapeutiques. / Missense mutations in the tyrosine kinase receptor FGFR3 (Fibroblast Growth Factor Receptor 3) lead to its overactivation causing biological dysfunctions in several diseases. Achondroplasia, the most common Fgfr3-related chondrodysplasia, is a rare genetic disorder, affecting 1 in 20000 live births, characterized by particular clinical features: rhizomelic dwarfism, short limbs, macrocephaly, midface hypoplasia, cervicomedullary compression. The abnormal activity of the receptor induces endochondral ossification defects that are responsible for the pathological phenotype. For a long time the only treatment for this disease was the limb lengthening surgery, however in recent years several researchers have developed potential therapeutic strategies based on molecular studies. The objective of my thesis was to evaluate a novel therapeutic approach for achondroplasia. A promising therapeutic strategy involved the use of small chemical inhibitors, known as tyrosine kinase inhibitors, that are able to arrest the FGFR3 activity. I have assessed the effects of one of these compounds, NVP-BGJ398, in a mouse model mimicking the acondroplastic dwarfism (Fgfr3Y367C/+). The experiments performed showed an improvement of all pathological hallmarks in NVP-BGJ398 treated mice. We have also inspected the impact of the activating FGFR3 mutation on the mandibular development. The study established a defect in mandibular growth in both affected patients and mice. Furthermore we could investigate the mandibular bone growth and correct the pathological defect with NVP-BGJ398. Finally I have participated in molecular analyses to describe how three FGFR3 mutations at the same position could lead to three different dwarfisms with increasing severity. The results provided a better understanding of FGFR3 pathological molecular mechanisms and could lead to new targets for therapeutic approaches.

ABSTRACT Anaplastic lymphoma kinase (ALK) is a tyrosine kinase receptor, which plays a pivotal part in the development of the central nervous system. Aberrant expression of full-length ALK occurs in neuroblastoma and chromosomal translocation or inversion of the ALK gene can generate novel fusion-ALK proteins that possess constitutive kinase activity and contribute to oncogenic processes. One of the well-studied fusion proteins is nucleophosmin (NPM-ALK), which draws a lot of attention for medicinal chemists to design small molecules as kinase inhibitors for this target. In this dissertation, [1, 2, 4]-Dihydrotriazine dimers as competitors of the lead compound NVP-TAE684 targeting NPM-ALK have been designed and synthesized. Molecular modelling studies show that those dihydrotriazine dimers have a great potential to be better kinase inhibitors. Chapter two describes imaging in the drug discovery and development arena. One of important imaging techniques is positron emission tomography (PET). PET is a radionuclide based molecular imaging technique, which can be used for early detection, characterization, "real time" monitoring of diseases, and investigation of the efficacy of drugs. Fluorine-18 (18F) based molecular probes for PET imaging still remain big challenging to prepare but have gained increased interest by radiochemists in the past two decades. In this study, a novel approach to introduce fluorine into a molecular probe has been discovered based on boron chemistry. A few novel fluorine capture reagents have been synthesized and described in this Chapter.

<p>The role of platelet-derived growth factor (PDGF) in malignancies involves both autocrine and paracrine stimulation of cells within the tumor. The interstitial fluid pressure (IFP) is one of the forces that govern the transvascular flow of fluids. In both experimental and clinical cancers, the IFP is elevated and is thought to act as a barrier for delivery of drugs. Increasing evidence points to PDGF as a positive regulator of the interstitial fluid pressure in loose connective tissue. In this thesis, the effect of PDGF receptor inhibition on the tumor IFP, transvascular transport and efficacy of anti-cancer drugs is investigated.</p><p>All studies were performed using tumor models that display extensive tumor stroma and PDGF receptor expression restricted to stroma cells. Blocking of PDGF receptor signaling significantly reduced the tumor IFP in various tumor models. In parallel, pre-treatment with PDGF antagonists increased the tumor content of cytotoxic agents without affecting the uptake in other organs. Moreover, combination treatment with PDGF receptor inhibitors and chemotherapeutic agents dramatically enhanced the anti-tumor effects of the cytotoxic drugs, whereas treatment with only PDGF receptor inhibitors did not affect the growth of the tumors. Beneficial effects on the tumor reponse to radioimmunotherapy were also produced after concomitant administration of PDGF antagonists. Importantly, anti-angiogenic effects, changes in cell composition and increased tumor cell sensitivity to cytotoxic agents were ruled out as the cause for the synergistic effects. </p><p>Studies with different temporal scheduling of PDGF receptor inhibitors demonstrated a perfect correlation between a reduced IFP, an increased transvascular transport and an enhanced therapeutic effect of cytotoxic drugs, strongly suggesting that the phenomena are causally linked.</p><p>The studies presented herein illustrate for the first time the potential of cells in the stroma compartment as a target for efforts to treat cancer. In conclusion, a novel, possibly general, strategy to enhance the effects of conventional anti-cancer drugs has been identified.</p>