272 research outputs found
Therapy-induced antitumor vaccination in neuroblastomas by the combined targeting of IL-2 and TNF alpha
L19-IL2 and L19TNF are fusion proteins composed of L19(scFv), specific for the angiogenesis-associated ED-B containing fibronectin isoform and IL-2 or TNF. Because of the tumor targeting properties of L19, IL-2 and TNF concentrate at therapeutic doses at the tumor vascular level. To evaluate the therapeutic effects of L19-IL2 and L19mTNF in neuroblastoma (NB)-bearing mice, A/J mice bearing Neuro2A or NIE115 NB were systemically treated with L19-IL2 and L19mTNF, alone or in combination protocols. Seventy percent of Neuro2A- and 30% of NIE115-bearing mice were cured by the combined treatment with L19-IL2 and L19mTNF, and further rejected a homologous tumor challenge, indicating specific antitumor immune memory. The immunological bases of tumor cure and rejection were studied. A highly efficient priming of CD4+ T helper cells and CD8+ CTL effectors was generated, paralleled by massive infiltration in the tumor tissue of CD4+ and CD8+ T cells at day 16 after tumor cell implantation, when, after therapy, tumor volume was drastically reduced and tumor necrosis reached about 80%. The curative treatment resulted in a long-lasting antitumor immune memory, accompanied by a mixed Th1/Th2 type of response. Concluding, L19-IL2 and L19mTNF efficiently cooperate in determining a high percentage of NB cure that, in our experimental models, is strongly associated to the generation of adaptive immunity involving CD4+ and CD8+ T cells
ORGANICS: A QGIS Plugin for Simulating One-Dimensional Transport of Dissolved Substances in Surface Water
vandetanib improves anti tumor effects of l19mtnfα in xenograft models of esophageal cancer
Purpose: Targeting the tumor vasculature by vascular disrupting agents (VDAs) has shown therapeutic activity in mouse models. In most cases, however, VDA efficacy is substantially compromised by the inability of these drugs to completely kill tumor cells located at the periphery of the tumor mass. In this study, we investigated anti-tumor effects of L19mTNFα, a fusion protein composed of L19 (scFv), specific for the angiogenesis-associated ED-B containing fibronectin isoform, and murine TNFα, in xenograft models of esophageal cancer. Experimental design: We evaluated ED-B expression in esophageal cancer samples. Subsequently, we generated subcutaneous xenografts from primary tumors, treated them with the L19mTNFα scFv, and determined effects on tumor vasculature, viability and proliferation, and VEGF expression and infiltration by hematopoietic cells. To overcome tumor resistance, L19mTNFα scFv was combined with vandetanib, a tyrosine kinase inhibitor of VEGF receptor, epidermal growth factor receptor, and RET signaling. Results: ED-B was broadly expressed by esophageal cancer cell lines, as well as xenografts and primary surgical samples of esophageal cancer. Administration of L19mTNFα acutely damaged tumor vasculature and increased necrosis, indicating a VDA-like activity of this immunoconjugate. This event was followed, however, by rapid tumor growth recovery associated with increased expression of VEGF and recruitment of CD11b+Gr1+ myeloid cells into tumors. Combination of L19mTNFα with vandetanib severely impaired vascular functions in tumors, leading to a reduction of cell proliferation and increased necrosis, without apparent signs of toxicity. Conclusion: These findings indicate that a combination of vascular damaging agents with anti-angiogenic drugs could represent a promising therapeutic strategy for esophageal cancer. Clin Cancer Res; 17(3); 447–58. ©2010 AACR
Blood coagulation dynamics: mathematical modeling and stability results
The hemostatic system is a highly complex multicomponent biosystem that under normal physiologic conditions maintains the fluidity of blood. Coagulation is initiated in response to endothelial surface vascular injury or certain biochemical stimuli, by the exposure of plasma to Tissue Factor (TF), that activates platelets and the coagulation cascade, inducing clot formation, growth and lysis. In recent years considerable advances have contributed to understand this highly complex process and some mathematical and numerical models have been developed. However, mathematical models that are both rigorous and comprehensive in terms of meaningful experimental data, are not available yet. In this paper a mathematical model of coagulation and fibrinolysis in flowing blood that integrates biochemical, physiologic and rheological factors, is revisited. Three-dimensional numerical simulations are performed in an idealized stenosed blood vessel where clot formation and growth are initialized through appropriate boundary conditions on a prescribed region of the vessel wall. Stability results are obtained for a simplified version of the clot model in quiescent plasma, involving some of the most relevant enzymatic reactions that follow Michaelis-Menten kinetics, and having a continuum of equilibria.CEMAT/IST through FCT [PTDC/MAT/68166/2006]; Czech Science Foundation [201/09/0917]; Grant Agency of the Academy of Sciences of the CR [IAA100190804]; Ministry of Education of Czech Republic [6840770010]info:eu-repo/semantics/publishedVersio
Joining participatory approach and spatially-based modelling tools for groundwater resource management.
Although a lot of science has been produced on Water Resource Management (WRM) in the Information and
Communication Technology (ICT) sector, WRM is still poorly addressed via scientific means. Some reasons for
this may be: the underrated importance given to this topic at political and decision-making level; the low-capacity
of the research environment to transfer results; and missing numerical modelling capacities at agencies and
governing authorities.
ICT may provide tools for water planning and management, as discussed within the ICT4WATER cluster initiative.
Among these, GIS-integrated numerical modeling is a robust method to represent hydrological systems and to
provide answers to problems of protection of groundwater resources. Because these tools require a high level
of knowledge pertaining to various disciplines, they are often disregarded as complex “tricky games” providing
unrealistic results. This is a barrier to the uptake of technologies for water management.
To overcome this issue, the application of ICT tools has been combined with an innovative participatory approach,
and large capacity building activities, in the framework of the H2020 FREEWAT project (FREE and open source
software tools for WATer resource management; www.freewat.eu). The major result of the project consists in an
open source and public domain, QGIS-integrated modeling platform for promoting WRM.
FREEWAT capabilities have been demonstrated at 14 case studies in EU and non-EU Countries, where the
effectiveness of few measures foreseen in River Basin Management Plans for achieving good status of water
bodies was tested.
At each case study, a Focus Group (FG) participated by local stakeholders (e.g., river basin authorities, research
institutions, environmental protection agencies, environmental associations) was formed and seven meetings were
organized. During these meetings, the objective of each case study, the methodology to be adopted, including
definition of the conceptual model and of data needed, were discussed. The FG also took decisions on scenarios
to be simulated for testing the feasibility of the foreseen measures. FGs aimed at demonstrating that WRM may
be performed with open source and public domain software and participants’ perception on using ICT tools for
WRM was discussed.
Some of the implemented models are now being used for operational purposes: Vrbansky plato (Slovenia),
where FREEWAT is used to monitor remediation of heating oil spillage and the water supply company intends to
maintain and use developed groundwater flow model for managed groundwater recharge with induced riverbank
filtration; the Bremerhaven case study (Germany), where the local water authority intends to use the developed
groundwater flow model for predictions; the Scarlino-Follonica case study (Italy), where the model will be used by
the regional authority to manage private groundwater remediation projects in a large industrial contaminated site;
the Gozo case study (Malta), where the model is being developed to support the assessment of good groundwater
quantitative status as part of the implementation of the Water Framework Directive
Identification of a Maturation Plasma Cell Index through a Highly Sensitive Droplet Digital PCR Assay Gene Expression Signature Validation in Newly Diagnosed Multiple Myeloma Patients
DNA microarrays and RNA-based sequencing approaches are considered important discovery tools in clinical medicine. However, cross-platform reproducibility studies undertaken so far have highlighted that microarrays are not able to accurately measure gene expression, particularly when they are expressed at low levels. Here, we consider the employment of a digital PCR assay (ddPCR) to validate a gene signature previously identified by gene expression profile. This signature included ten Hedgehog (HH) pathways' genes able to stratify multiple myeloma (MM) patients according to their self-renewal status. Results show that the designed assay is able to validate gene expression data, both in a retrospective as well as in a prospective cohort. In addition, the plasma cells' differentiation status determined by ddPCR was further confirmed by other techniques, such as flow cytometry, allowing the identification of patients with immature plasma cells' phenotype (i.e., expressing CD19+/CD81+ markers) upregulating HH genes, as compared to others, whose plasma cells lose the expression of these markers and were more differentiated. To our knowledge, this is the first technical report of gene expression data validation by ddPCR instead of classical qPCR. This approach permitted the identification of a Maturation Index through the integration of molecular and phenotypic data, able to possibly define upfront the differentiation status of MM patients that would be clinically relevant in the future
Combination of temozolomide with immunocytokine F16–IL2 for the treatment of glioblastoma
Glioblastoma patients are still not cured by the treatments available at the moment. We investigated the therapeutic properties of temozolomide in combination with F16-IL2, a clinical-stage immunocytokine consisting of human interleukin (IL)-2 fused to the human antibody F16, specific to the A1 domain of tenascin-C
A chemically modified antibody mediates complete eradication of tumours by selective disruption of tumour blood vessels
These results reinforce the concept that vascular shutdown can induce a curative avalanche of tumour cell death. Immuno-photodynamic therapy may be particularly indicated for squamous cell carcinoma of the skin, which we show to be strongly positive for markers of angiogenesis
Comparative effectiveness of second generation long-acting injectable antipsychotics based on nationwide database research in Hungary
Schizophrenia is a severe condition that affects approximately 1% of the population. Certain elements of antipsychotic treatment can only be examined in large population, thus the need for population-based real-world analyses has been increasing.Hungarian National Health Fund database includes all healthcare data of the population of Hungary. All patients diagnosed with schizophrenia between 01.01.2006 and 31.12.2015 were included in the study. We analyzed all patients with newly initiated second-generation antipsychotic during the inclusion period (01.01.2012-31.12.2013). Patients were followed for 2 years. All-cause treatment discontinuation served as the primary outcome of the study. Patients with newly initiated long-acting injectable treatments were further investigated in stratified analyses based on their previous treatment.106,624 patients had schizophrenia diagnosis during the study period. 12,232 patients met the inclusion criteria for newly initiating second-generation antipsychotic during the inclusion period. The proportion of patients still on treatment after 1 year for oral treatments varied between 17% (oral risperidone) and 31% (oral olanzapine) while the analogous data for long acting injectables were between 32% (risperidone long acting) and 64% (paliperidone long acting one monthly). The 2-year data were similarly in favor of long-actings. Median time to discontinuation in the oral group varied between 57 days (clozapine) and 121 days (olanzapine). The median time to discontinuation for long-actings was significantly longer: between 176 and 287 days; in case of paliperidone long acting, median was not reached during the observation period. Patients receiving long-acting treatment switched from another long-acting remained on the newly initiated treatment significantly longer than those switched from orals.Our results indicate the superiority of second generation long-acting antipsychotics with regard to rates of treatment discontinuation and periods of persistence to the assigned medication
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