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Glioblastoma multiforme (GBM) represents the most aggressive form of malignant brain tumors and remains a therapeutically challenge. Intense research in the field has lead to the testing of oncolytic viruses to improve tumor control. Currently, a variety of different oncolytic viruses are being evaluated for their ability to be used in anti-cancer therapy and a few have entered clinical trials. Vaccinia virus, is one of the viruses being studied. GLV-1h68, an oncolytic vaccinia virus engineered by Genelux Corporation, was constructed by insertion of three gene cassettes, RUC-GFP fusion, β-galactosidase and β- glucuronidase into the genome of the LIVP strain. Since focal tumor radiotherapy is a mainstay for cancer treatment, including glioma therapy, it is of clinical relevance to assess how systemically administered oncolytic vaccinia virus could be combined with targeted ionizing radiation for therapeutic gain. In this work we show how focal ionizing radiation (IR) can be combined with multiple systemically delivered oncolytic vaccinia virus strains in murine models of human U-87 glioma. After initial experiments which confirmed that ionizing radiation does not damage viral DNA or alter viral tropism, animal studies were carried out to analyze the interaction of vaccinia virus and ionizing radiation in the in vivo setting. We found that irradiation of the tumor target, prior to systemic administration of oncolytic vaccinia virus GLV-1h68, increased viral replication within the U-87 xenografts as measured by viral reporter gene expression and viral titers. Importantly, while GLV-1h68 alone had minimal effect on U-87 tumor growth delay, IR enhanced GLV-1h68 replication, which translated to increased tumor growth delay and mouse survival in subcutaneous and orthotopic U-87 glioma murine models compared to monotherapy with IR or GLV-1h68. The ability of IR to enhance vaccinia replication was not restricted to the multi-mutated GLV-1h68, but was also seen with the less attenuated oncolytic vaccinia, LIVP 1.1.1. We have demonstrated that in animals treated with combination of ionizing radiation and LIVP 1.1.1 a strong pro-inflammatory tissue response was induced. When IR was given in a more clinically relevant fractionated scheme, we found oncolytic vaccinia virus replication also increased. This indicates that vaccinia virus could be incorporated into either larger hypo-fraction or more conventionally fractionated radiotherapy schemes. The ability of focal IR to mediate selective replication of systemically injected oncolytic vaccinia was demonstrated in a bilateral glioma model. In mice with bilateral U-87 tumors in both hindlimbs, systemically administered oncolytic vaccinia replicated preferentially in the focally irradiated tumor compared to the shielded non- irradiated tumor in the same mouse We demonstrated that tumor control could be further improved when fractionated focal ionizing radiation was combined with a vaccinia virus caring an anti-angiogenic payload targeting vascular endothelial growth factor (VEGF). Our studies showed that following ionizing radiation expression of VEGF is upregulated in U-87 glioma cells in culture. We further showed a concentration dependent increase in radioresistance of human endothelial cells in presence of VEGF. Interestingly, we found effects of vascular endothelial growth factor on endothelial cells were reversible by adding purified GLAF-1 to the cells. GLAF-1 is a single- chain antibody targeting human and murine VEGF and is expressed by oncolytic vaccinia virus GLV-109. In U-87 glioma xenograft murine models the combination of fractionated ionizing radiation with GLV-1h164, a vaccinia virus also targeting VEGF, resulted in the best volumetric tumor response and a drastic decrease in vascular endothelial growth factor. Histological analysis of embedded tumor sections 14 days after viral administration confirmed that blocking VEGF translated into a decrease in vessel number to 30% of vessel number found in control tumors in animals treated with GLV-164 and fractionated IR which was lower than for all other treatment groups. Our experiments with GLV-1h164 and fractionated radiotherapy have shown that in addition to ionizing radiation and viral induced tumor cell destruction we were able to effectively target the tumor vasculature. This was achieved by enhanced viral replication translating in increased levels of GLAF-2 disrupting tumor vessels as well as the radiosensitization of tumor vasculature to IR by blocking VEGF. Our preclinical results have important clinical implications of how focal radiotherapy can be combined with systemic oncolytic viral administration for highly aggressive, locally advanced tumors with the potential, by using a vaccinia virus targeting human vascular endothelial growth factor, to further increase tumor radiation sensitivity by engaging the vascular component in addition to cancer cells.
Radiation therapy today, on account of improvements in treatment procedures over the last 60 years, allows precise treatment of static tumors inside the human body. However, irradiation of moving tumors is still a challenging task as moving tumors often leave the treatment beam and the radiation dose delivered to the tumor reduces simultaneously increasing that on healthy tissue. This research work aims to push the frontiers of radiation therapy in order to enable precise treatment of moving tumors with focus on research and development of a unique real-time system enabling active motion compensation through robotic means to compensate tumor motion. During treatment, patients lie on a treatment couch which is normally used for static position corrections of patient set-up errors prior to radiation treatment. The treatment couch used, called HexaPOD, is a parallel manipulator with six degrees of freedom which can precisely position heavy loads inside a small region. Despite the HexaPOD not initially built with dynamics in mind, it is used in this work for sustained motion compensation by moving patients such that tumors stay precisely located at the center of the treatment beam during the complete course of treatment. In order to realize real-time tumor motion compensation by means of the HexaPOD, several challanges need to be addressed. Real-time aspects are covered by the adoption of a hard real-time operation system in combination with measurement and estimation of latencies of all physical quantities in the compensation system such as tumor or breathing position measurements. Accurate timing information is respected consistently in the whole system and all software-induced latencies are adaptively compensated for. This requires knowledge of future tumor positions from predictors. Several predictors for breathing and tumor motion predictions are proposed and evaluated in terms of a variety of different performance metrics. Extensions to prediction algorithms are introduced fusing both breathing and tumor position information to allow for predictions without the need of an explicit correlation model. Predictions determine the future motion path of the HexaPOD in order to compensate for tumor motion. Several control schemes are developed to enable reference tracking for the HexaPOD. Based on linear and non-linear dynamic modelling of the HexaPOD with system identification methods, a first controller is derived in the form of a model predictive controller. A second controller is proposed based on an assumption of the working principle of the HexaPOD's internal controller. Finally, a third controller is derived as combination of the first and second one. For each of these controllers, comparative results with real hardware experiments and humans in the loop as well as choices of free parameters are presented and discussed. Apart from precise tracking, emphasis is placed on patient comfort which is of crucial importance for acceptance of the system. It is demonstrated that smooth trajectories can be realized by the controllers to guarantee that patients feel comfortable while their tumor motion is compensated at sub-millimeter accuracies. Overall errors of the system are analyzed by relating them to tracking and prediction errors. By exploiting the properties of different predictors, it is shown that the startup time until tracking is reached can be reduced to only a few seconds, even in the case of an initially at-rest HexaPOD and with no initial knowledge of tumor motion. This makes the system especially suitable for the relatively short-fractionated treatment sessions for lung tumors. The tumor motion compensation system has been developed solely based on standard clinical hardware, found in most treatment rooms. With a simple and flexible design, existing treatment can be updated in a cost-efficient way to introduce motion compensation capabilities. Simultaneously, the system does not impose any constraints on state-of-the-art treatment types such as intensity modulated radiotherapy or volumetric modulated arc therapy. Supporting different compensation modes, the system can be applied to any moving tumor whether its motion is predictable (lung tumors) or unpredictable (prostate tumors). By integration of adequate tumor position determination methods, the system can be easily extended to other tumors as well.