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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Wirkung und Wirkmechanismus von AEZS 126 auf verschiedene Subentitäten des Mammakarzinoms / Anti-tumour activity of phosphoinositide-3-kinase antagonist AEZS 126 in models of triple-negative breast cancer

Schmidt, Heike January 2013 (has links) (PDF)
Untersuchung des Wirkmechanismus von AEZS 126 auf drei triple negative Mammakarzinomzelllinien HCC1937, HCC1806 und MDA-MB468 und eine Oestrogenrezeptor positive Zelllinie MCF-7 mittels Kristallviolett assay, FACS und Western Blot. Es konnte gute Antitumorwirkung des Inhibitors in vitro gezeigt werden. / Of more than one million global cases of breastcancer diagnosed each year, a high percentage are characterized as triple-negative, lacking the oestrogen, progesterone and Her2/neu receptors. The incidence exceeds the incidence of malignancies like CML by far. Lack of effective therapies, younger age at onset and early metastatic spread have contributed to the poor prognosis and outcomes associated with these malignancies. Here, we investigate the ability of the PI3 K/AKT inhibitor AEZS 126 to selectively target the triple negative breast cancer (TNBC) cell proliferation and survival in vitro by MTT-assays and FACS-based analysis. Furthermore, the mechanism of cytotoxicity is analysed by FACS-based assays and Western blots. Results AEZS 126 showed good antitumour activity in in vitro models of TNBC as well as in MCF-7 cells. We demonstrated the highly efficient antitumour activity of AEZS 126 in in vitro models of TNBC. Due to the good anti-tumour activity and the expected favourable toxicity profile, AEZS 126 in combination with chemotherapy seems to be a promising candidate for clinical testing in TNBC especially in the basal-like subgroup of TNBC.
2

Essai du traitement pré-clinique du carcinome hépatocellulaire sur la cirrhose dans le modèle de rat / Pre-trial of hepatocellular carcinoma on cirrhosis in a rat model

Zeybek, Ayça 22 December 2016 (has links)
Hepatocellular carcinoma (HCC) is the second most common cause of cancerrelated mortality worldwide. AKT pathway has been found activated in 50% of HCC cases, making it promising target. Therefore we assess efficacy of the allosteric AKT inhibitor or the combination of Sorafenib with AKT inhibitor compared to untreated control and to standard treatment, Sorafenib, in vitro and in vivo. AKT inhibitor blocked phosphorylation of AKT in vitro and strongly inhibited cell growth with significantly higher potency than Sorafenib. Similarly, apoptosis and cell migration were strongly reduced by AKT inhibitor in vitro. To mimic human advanced HCC, we used diethylnitrosamine-induced cirrhotic rat model with fully developed HCC. MRI analyses showed that AKT inhibitor significantly reduced overall tumor size. Furthermore, number of tumors was decreased by AKT inhibitor, which was associated with increased apoptosis and decreased proliferation. Tumor contrast enhancement was significantly decreased in the AKT inhibitor group. Moreover, on tumor tissue sections, we observed a vascular normalization and a significant decrease in fibrosis in surrounding liver of animals treated with AKT inhibitor. Finally, pAKT/AKT levels in AKT inhibitor treated tumors were reduced, followed by down regulation of actors of AKT downstream signalling pathway: pmTOR, pPRAS40, pPLCγ1 and pS6K1. In conclusion, we demonstrated that AKT inhibitor blocks AKT phosphorylation in vitro and in vivo. In HCC-rat model, AKT inhibitor was well tolerated, showed anti-fibrotic effect and had stronger antitumor effect than Sorafenib. Our results confirm the importance of targeting AKT in HCC. / Hepatocellular carcinoma (HCC) is the second most common cause of cancerrelated mortality worldwide. AKT pathway has been found activated in 50% of HCC cases, making it promising target. Therefore we assess efficacy of the allosteric AKT inhibitor or the combination of Sorafenib with AKT inhibitor compared to untreated control and to standard treatment, Sorafenib, in vitro and in vivo. AKT inhibitor blocked phosphorylation of AKT in vitro and strongly inhibited cell growth with significantly higher potency than Sorafenib. Similarly, apoptosis and cell migration were strongly reduced by AKT inhibitor in vitro. To mimic human advanced HCC, we used diethylnitrosamine-induced cirrhotic rat model with fully developed HCC. MRI analyses showed that AKT inhibitor significantly reduced overall tumor size. Furthermore, number of tumors was decreased by AKT inhibitor, which was associated with increased apoptosis and decreased proliferation. Tumor contrast enhancement was significantly decreased in the AKT inhibitor group. Moreover, on tumor tissue sections, we observed a vascular normalization and a significant decrease in fibrosis in surrounding liver of animals treated with AKT inhibitor. Finally, pAKT/AKT levels in AKT inhibitor treated tumors were reduced, followed by down regulation of actors of AKT downstream signalling pathway: pmTOR, pPRAS40, pPLCγ1 and pS6K1. In conclusion, we demonstrated that AKT inhibitor blocks AKT phosphorylation in vitro and in vivo. In HCC-rat model, AKT inhibitor was well tolerated, showed anti-fibrotic effect and had stronger antitumor effect than Sorafenib. Our results confirm the importance of targeting AKT in HCC.
3

DESIGNING COMBINATION DRUG REGIMENS TO IMPROVE GLIOBLASTOMA CHEMOTHERAPY: A PHARMACOKINETIC PHARMACODYNAMIC MODELING APPROACH

Saugat Adhikari (11267001) 13 August 2021 (has links)
<p>Despite advancements in therapies, such as surgery, irradiation (IR) and chemotherapy, outcome for patients suffering from glioblastoma (GBM) remains fatal; the median survival time is only about 15 months. Even with novel therapeutic targets, networks and signaling pathways being discovered, monotherapy with such agents targeting such pathways has been disappointing in clinical trials. Poor prognosis for GBM can be attributed to several factors, including failure of drugs to cross the blood-brain-barrier (BBB), tumor heterogeneity, invasiveness, and angiogenesis. Development of tumor resistance, particularly to temozolomide (TMZ) and IR, creates a substantial clinical challenge.</p><p> </p><p>The primary focus of the work described herein was to develop a modeling and simulation approach that could be applied to rationally develop novel combination therapies and dose regimens that mitigate resistance development. Specifically, TMZ was combined with small molecule inhibitors that are either currently in clinical trials or are approved drugs for other cancer types, and which target the disease at various resistance signaling pathways that are induced in response to TMZ monotherapy. To accomplish this objective, an integrated PKPD modeling approach was used. A PK model for each drug was first defined. PK models were subsequently linked to a PD model description of tumor growth dynamics in the presence of a single drug or combinations of drugs. A key outcome of these combined PKPD models was tumor static concentration (TSC) curves of TMZ in combination with small molecule inhibitors that identify combination drug exposures predicted to arrest tumor growth. This approach was applied to TMZ in combination with abemaciclib (a dual CDK4/6 small molecule inhibitor) based on data from a published study evaluating abemaciclib (ACB) efficacy in combination with TMZ in a U87 GBM xenograft model. TSC was also constructed for TMZ in combination with RG7388 (MDM2 inhibitor) based on the data from an in-vivo study that evaluated effects on tumor growth suppression of these small molecule inhibitors in combination with TMZ in GBM 10 patient derived xenografts.</p><p>In GBM 43 mouse xenografts, emergence of resistance to TMZ treatment was identified. Thus, a resistance integrated PKPD model was developed to predict tumor growth kinetics after treatment with TMZ in GBM 43 tumors. Population PK models in immune deficient NOD.Cg-<em>Prkdc<sup>scid</sup> Il2rg<sup>tm1Wjl</sup></em>/SzJ (NSG) mice for TMZ and small molecule inhibitors (GDC0068/RG7112) were developed based on a combination of data obtained from an in-vivo study and published sources. Subsequently, PK models were linked to tumor volume data obtained from GBM 43 subcutaneous xenografts. Model parameters quantifying tumor volume dynamics were precisely estimated (coefficient of variation < 40%) compared to a base tumor growth inhibition model in GBM 43 that did not incorporate resistance development. Graphical diagnostics of the resistance incorporated PKPD tumor growth inhibition model demonstrated a superior fit compared to the base model, and accurately captured the emergence of resistance to the TMZ monotherapy treatment observed in the GBM 43 patient derived xenograft model.</p>

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