The radiosensitivity of tumour cells depends mainly on their capacity to maintain genomic integrity. This requires efficient repair of radiation-induced DNA double strand breaks, a process governed by the cell cycle. Based on their functions in cell cycle regulation and DNA damage repair, we hypothesised that targeting of CDK2 and CDK9 modifies cancer cell response to radiotherapy. Therefore, we evaluated the significance of CDK2 and CDK9 for the cellular radiation response in a panel of human head and neck squamous cell carcinoma (HNSCC) cell lines. In order to achieve our goal, we performed a series of experiments to measure several key parameters such as clonogenic radiation survival, cell cycling, DNA damage repair and apoptosis. We found that loss of CDK2 radiosensitises mouse embryonic fibroblasts (MEFs) as well as HNSCC two dimensional (2D) cell cultures. However, under more physiological three dimensional (3D) growth conditions in laminin-rich extracellular matrix, targeting of CDK2 failed to modulate the radiosensitivity of HNSCC cells. Moreover, CDK2 attenuated the repair of radiogenic double strand breaks (DSBs) in MEFs as well as SAS and FaDu HNSCC cells indicating a possible role of CDK2 in DNA damage repair. However, we found that CDK2 is dispensable for cell cycle and checkpoint regulation in response to irradiation in SAS and FaDu cells. Taken together, our results suggest that targeting of CDK2 may not provide a therapeutic benefit to overcome HNSCC cell resistance to radiotherapy. We also showed that depletion of CDK9 clearly enhances the radiosensitivity of HNSCC cultures. In addition, the ectopic expression of CDK9 has a radioprotective effect. These findings suggest a potential role of CDK9 in the radiation response of HNSCC cells. Moreover, our study indicates a possible role of CDK9 in the DNA damage repair response and cell cycling of HNSCC cells. Conclusively, on the basis of these data, targeting of CDK9 in addition to conventional radiotherapy might be a viable strategy to overcome cancer cell resistance.

This study investigated several somatostatin analogues labeled with copper-64 for imaging and targeted therapy of SSTr positive cancer. Among three new cross-bridged bifunctional chelators coupled to Y3-TATE, 64Cu-CB-TE2A-Y3-TATE had the most favorable tumor targeting properties. The introduction of ionizable linker groups could not remedy the slow clearance from the kidney, and other modifications will be necessary to resolve this issue. The emerging idea of using the copper-64-labeled somatostatin antagonist 64Cu-CB-TE2A-sst2-ANT as a tumor targeting agent will require further experimentation. This radiopharmaceutical showed promising initial results in a biodistribution study in male Lewis rats, however, it should be compared to 111In-DOTA-sst2-ANT in the same model. Nuclear localization of copper-64 from two somatostatin analogues differing in their chelate stability strengthened the hypothesis of copper-64 dissociation from the bifunctional chelator prior to trafficking to the nucleus. However, the increased nuclear uptake of copper-64 from the less stable 64Cu-TETA-Y3-TATE did not result in a significant effect on cell killing of A427-7 cells. In experiments with [64Cu]copper acetate and the EGFR-antibody 64Cu-DOTA-cetuximab, the tumor suppressor protein p53 was identified as a mediator of the nuclear transport of copper. 64Cu-DOTA-cetuximab was also utilized in five cervical cancer cell lines with a wide range of EGFR expression. EGFR quantification by saturation receptor binding, and EGFR function as determined via internalization of 64Cu-DOTA-cetuximab closely followed the expression pattern of these cell lines found via EGFR mRNA profiling. This constitutes a first step in the evaluation of cetuximab for the treatment, and of 64Cu-DOTA-cetuximab for the imaging of advanced cervical cancer, as EGFR expression on the tumor cell surface clearly can be quantified and visualized with this experimental system. Copper-64 has been used in this study to probe the basic biochemical process of intracellular copper trafficking, and for the targeting of cell surface receptors via radiolabeled peptides and antibodies, providing an example of the powerful combination of radiopharmaceutical chemistry and cell biology.

Die Positronen-Emissions-Tomographie (PET) bei der Schwerionentherapie ist eine wichtige Methode zur Qualitätskontrolle in der Tumortherapie mit Kohlenstoffionen. Die vorliegende Arbeit beschreibt die Verbesserungen des PET-Verfahrens, wodurch sich in der Folge präzisere Aussagen zur Dosisapplikation treffen lassen. Aufbauend auf den Grundlagen (Kap. 2) werden die Neuentwicklungen in den drei darauf folgenden Abschnitten (Modellierung des Abbildungsprozesses bei der PET, Streukorrektur für PET bei der Schwerionentherapie, Verarbeitung der rekonstruierten PET-Daten) beschrieben. Die PET-Methode bei der Schwerionentherapie basiert auf dem Vergleich zwischen den gemessenen und vorausberechneten Aktivitätsverteilungen. Die verwendeten Modelle in der Simulation (Erzeugung der Positronenemitter, deren Ausbreitung, der Transport und der Nachweis der Annihilationsquanten) sollten so präzise wie möglich sein, damit ein aussagekräftiger Vergleich möglich wird. Die Genauigkeit der Beschreibung der physikalischen Prozesse wurde verbessert und zeiteffiziente Algorithmen angewendet, die zu einer erheblichen Verkürzung der Rechenzeit führen. Die erwarteten bzw. die gemessenen räumlichen Radioaktivitätsverteilungen werden mit einem iterativen Verfahren rekonstruiert [Lau99]. Die gemessenen Daten müssen hinsichtlich der im Messobjekt auftretenden Comptonstreuung der Annihilationsphotonen korrigiert werden. Es wird ein geeignetes Verfahren zur Streukorrektur für die Therapieüberwachung vorgeschlagen und dessen Realisierung beschrieben. Zur Einschätzung der Güte der Behandlung wird die gemessene und die simulierte Aktivitätsverteilung verglichen. Dazu wurde im Rahmen der vorliegenden Arbeit eine Software entwickelt, das die rekonstruierten PET-Daten visualisiert und die anatomischen Informationen des Röntgentomogramms mit einbezieht. Nur durch dieses Auswerteverfahren war es möglich, Fehler im physikalischen Strahlmodell aufzudecken und somit die Bestrahlungsplanung zu verbessern.