Fluorescence In Situ Hybridization (FISH) Detection of Viral Nucleic Acids in Oncolytic H-1 Parvovirus-Treated Human Brain Tumors.

Fluorescence in situ hybridization (FISH) is a specific, sensitive, accurate, and reliable technique widely applied in both research and clinic. Here we describe the detailed protocol of a FISH method established by us to serve the scientific purposes of the first oncolytic parvovirus clinical trial (ParvOryx01). This trial was launched in Germany in 2011. After trial completion in 2015, results were published in Molecular Therapy in 2017. The primary purpose of the trial was to evaluate the safety of an oncolytic parvovirus, H-1PV (ParvOryx), in recurrent glioblastoma patients. In addition, the efficiency of H-1PV tumor targeting after intratumoral or systemic virus administration was assessed by FISH detection of viral nucleic acids (genomic single-stranded DNA, mRNA and parvovirus double-stranded replicative forms) in formalin-fixed paraffin-embedded glioblastoma tissues resected at day 10 after ParvOryx treatment. The FISH method allowed the detection-for the first time in humans-of H-1PV replication markers in brain tumors of parvovirus-treated patients. A protocol combining mRNA FISH with simultaneous immunofluorescent staining for tumor and tumor microenvironment markers was also developed and is described here, in order to better characterize H-1PV cellular targets and H-1PV treatment-associated tumor microenvironment changes.

Base-excision repair deficiency alone or combined with increased oxidative stress does not increase mtDNA point mutations in mice.

Mitochondrial DNA (mtDNA) mutations become more prevalent with age and are postulated to contribute to the ageing process. Point mutations of mtDNA have been suggested to originate from two main sources, i.e. replicative errors and oxidative damage, but the contribution of each of these processes is much discussed. To elucidate the origin of mtDNA mutations, we measured point mutation load in mice with deficient mitochondrial base-excision repair (BER) caused by knockout alleles preventing mitochondrial import of the DNA repair glycosylases OGG1 and MUTYH (Ogg1 dMTS, Mutyh dMTS). Surprisingly, we detected no increase in the mtDNA mutation load in old Ogg1 dMTS mice. As DNA repair is especially important in the germ line, we bred the BER deficient mice for five consecutive generations but found no increase in the mtDNA mutation load in these maternal lineages. To increase reactive oxygen species (ROS) levels and oxidative damage, we bred the Ogg1 dMTS mice with tissue specific Sod2 knockout mice. Although increased superoxide levels caused a plethora of changes in mitochondrial function, we did not detect any changes in the mutation load of mtDNA or mtRNA. Our results show that the importance of oxidative damage as a contributor of mtDNA mutations should be re-evaluated.

Oncolytic H-1 Parvovirus Shows Safety and Signs of Immunogenic Activity in a First Phase I/IIa Glioblastoma Trial.

Oncolytic virotherapy may be a means of improving the dismal prognosis of malignant brain tumors. The rat H-1 parvovirus (H-1PV) suppresses tumors in preclinical glioma models, through both direct oncolysis and stimulation of anticancer immune responses. This was the basis of ParvOryx01, the first phase I/IIa clinical trial of an oncolytic parvovirus in recurrent glioblastoma patients. H-1PV (escalating dose) was administered via intratumoral or intravenous injection. Tumors were resected 9 days after treatment, and virus was re-administered around the resection cavity. Primary endpoints were safety and tolerability, virus distribution, and maximum tolerated dose (MTD). Progression-free and overall survival and levels of viral and immunological markers in the tumor and peripheral blood were also investigated. H-1PV treatment was safe and well tolerated, and no MTD was reached. The virus could cross the blood-brain/tumor barrier and spread widely through the tumor. It showed favorable pharmacokinetics, induced antibody formation in a dose-dependent manner, and triggered specific T cell responses. Markers of virus replication, microglia/macrophage activation, and cytotoxic T cell infiltration were detected in infected tumors, suggesting that H-1PV may trigger an immunogenic stimulus. Median survival was extended in comparison with recent meta-analyses. Altogether, ParvOryx01 results provide an impetus for further H-1PV clinical development.

IL-6 promotes malignant growth of skin SCCs by regulating a network of autocrine and paracrine cytokines.

Cytokines play a crucial role in tumor initiation and progression. Here, we demonstrate that interleukin (IL)-6 is a key factor by driving tumor progression from benign to malignant, invasive tumors in the HaCaT-model of human skin carcinoma. IL-6 activates STAT3 and directly stimulates proliferation and migration of the benign noninvasive HaCaT-ras A-5 cells in vitro. Furthermore, IL-6 induces a complex, reciprocally regulated cytokine network in the tumor cells that includes inflammatory and angiogenic factors such as IL-8, GM-CSF, VEGF and MCP-1. These IL-6 effects lead to tumor cell invasion in organotypic cultures in vitro and to the formation of malignant and invasive s.c. tumors in vivo. Tumor invasion is supported by the IL-6 induced overexpression of MMP-1 in vitro and in vivo. These data demonstrate a key function of IL-6 in the progression of skin SCCs by regulating a complex cytokine and protease network and suggest new therapeutic approaches to target this central player in skin carcinogenesis.

Representing the nursing process with nursing terminologies in electronic medical record systems: a Swiss approach.

This article describes a framework model within a selected nursing classification system for the integration of nursing care processes into a clinical information system. The "Electronic Nursing Process Data Model," project was carried out from July 2004 to October 2006 in the Canton of Zurich in Switzerland. The Zurich Electronic Nursing Process Data Model integrates the nursing diagnosis, outcomes, and intervention terminologies in a standardized manner into the nursing care process within the electronic patient record. Findings of the pretest application in clinical nursing practices revealed that (1) functionalities are logically structured, (2) it is difficult to overview many details of the documentation, (3) a specific "to-do list" retrieved from the electronic system is needed, and (4) free-text entries are important to add description of the patient's situation. Furthermore, a consistent assessment terminology needs to be linked to the nursing diagnosis, outcomes, and intervention terminologies and the descriptions of nursing care process within the Electronic Nursing Process Data Model. As the project team, we recommend to implement the developed Electronic Nursing Process Data Model into professional software of clinical information systems and gradually into clinical practice. Therefore, an appropriate utilization strategy includes issues to improve nurses' understanding of the nursing care process and critical-thinking skills: not even the most comprehensive software program can substitute for facilitation.

[The electronic use of the NANDA-, NOC- and NIC- classifications and implications for nursing practice]. / Die elektronische Anwendung der NANDA-, NOC- und NIC-Klassifikationen und Folgerungen für die Pflegepraxis.

The data model developed on behalf of the Nursing Service Commission of the Canton of Zurich (Pflegedienstkommission des Kantons Zürich) is based on the NANDA nursing diagnoses, the Nursing Outcome Classification, and the Nursing Intervention Classification (NNN Classifications). It also includes integrated functions for cost-centered accounting, service recording, and the Swiss Nursing Minimum Data Set. The data model uses the NNN classifications to map a possible form of the nursing process in the electronic patient health record, where the nurse can choose nursing diagnoses, outcomes, and interventions relevant to the patient situation. The nurses' choice is guided both by the different classifications and their linkages, and the use of specific text components pre-defined for each classification and accessible through the respective linkages. This article describes the developed data model and illustrates its clinical application in a specific patient's situation. Preparatory work required for the implementation of NNN classifications in practical nursing such as content filtering and the creation of linkages between the NNN classifications are described. Against the background of documentation of the nursing process based on the DAPEP(1) data model, possible changes and requirements are deduced. The article provides a contribution to the discussion of a change in documentation of the nursing process by implementing nursing classifications in electronic patient records.