Prospective evaluation of circulating VEGF in patients with advanced non-small cell lung cancer treated with bevacizumab, pemetrexed and cisplatin in the trial SAKK19/09.

Aim: Bevacizumab is a monoclonal antibody directed against the vascular endothelial growth factor (VEGF). The previous phase II trial ABIGAIL (Reck, 2010) suggested circulating VEGF as a prognostic, but not predictive, biomarker for patients (pts) with non-small cell lung cancer (NSCLC) treated with bevacizumab. We prospectively measured VEGF in the multicenter phase II trial SAKK19/09 (NCT01116219). Methods: SAKK19/09 enrolled 77 evaluable patients (pts) with previously untreated, advanced nonsquamous NSCLC and EGFR wild type. Pts received 4 cycles of cisplatin 75mg/m2 (or carboplatin AUC5), pemetrexed 500mg/m2 and bevacizumab 7.5mg/kg, followed by maintenance therapy with pemetrexed and bevacizumab until progression by RECIST1.1. Follow-up CT scans were performed every 6 weeks until week 54 and every 12 weeks thereafter. Baseline EDTA blood samples were sent by same-day courier to the central laboratory for centrifugation, aliquoting, and freezing. Upon completion of enrollment, aliquots were thawed, and VEGF quantification was performed centrally using Luminex® Performance Assay Human Base Kit A (R&D Systems, Abingdon, UK). The mean value was used to stratify pts into two groups (low versus high VEGF). Best response rate assessed by RECIST1.1 (CR + PR versus SD + PD). Results: Clinical results of the SAKK19/09 trial were reported previously (Gautschi, 2013). Baseline plasma VEGF was detectable in 71 of 77 (92%) evaluable patients treated with chemotherapy and bevacizumab. The mean value was 74.9 pg/ml, the median 47.5 pg/ml, and the range 3.55 to 310 pg/ml. Using the mean as a predefined cutoff value, 50 patients had low VEGF levels and 21 patients had high VEGF levels. High VEGF was significantly associated with shorter PFS (4.1 vs 8.3 months, HR = 2.56; 95%CI: 1.43- 4.57; p = 0.0015) and OS (8.7 vs 17.5 months, HR = 2.67; 95% CI: 1.37-5.20; p = 0.0041), but not with best response rate ( p = 0.2256). Conclusions: Consistent with the ABIGAIL trial, circulating VEGF was prognostic, but not predictive for response, in the current trial. Further work is ongoing to identify potentially predictive biomarkers for bevacizumab, using comprehensive proteomic analyses. Disclosure: S.I. Rothschild: I received honoraria for the participation in advisory boards from Eli Lilly and Roche and for presentations at scientific symposiums sponsored by Roche; O. Gautschi: Honoraria for advisory boards of Eli Lilly and Roche; R. Cathomas: Advisory board member: Eli Lilly. All other authors have declared no conflicts of interest.

An Advocacy for the Use of 3D Stem Cell Culture Systems for the Development of Regenerative Medicine: An Emphasis on Photoreceptor Generation

The availability of stem cells is of great promise to study early developmental stages and to generate adequate cells for cell transfer therapies. Although many researchers using stem cells were successful in dissecting intrinsic and extrinsic mechanisms and in generating specific cell phenotypes, few of the stem cells or the differentiated cells show the capacity to repair a tissue. Advances in cell and stem cell cultivation during the last years made tremendous progress in the generation of bona fide differentiated cells able to integrate into a tissue after transplantation, opening new perspectives for developmental biology studies and for regenerative medicine. In this review, we focus on the main works attempting to create in vitro conditions mimicking the natural environment of CNS structures such as the neural tube and its development in different brain region areas including the optic cup. The use of protocols growing cells in 3D organoids is a key strategy to produce cells resembling endogenous ones. An emphasis on the generation of retina tissue and photoreceptor cells is provided to highlight the promising developments in this field. Other examples are presented and discussed, such as the formation of cortical tissue, the epithelial gut or the kidney organoids. The generation of differentiated tissues and well-defined cell phenotypes from embryonic stem (ES) cells or induced pluripotent cells (iPSCs) opens several new strategies in the field of biology and regenerative medicine. A 3D organ/tissue development in vitro derived from human cells brings a unique tool to study human cell biology and pathophysiology of an organ or a specific cell population. The perspective of tissue repair is discussed as well as the necessity of cell banking to accelerate the progress of this promising field.

Treatment of cancer with oral drugs: a position statement by the Spanish Society of Medical Oncology

Cancer treatment involves the participation of multiple medical specialties and, as our knowledge of the disease increases, this fact becomes even more apparent. The degree of multidisciplinarity is determined by several factors, which include the severity and type of disease, the increasing diversity in the available pharmacological and non-pharmacological therapies, and the range of specialists involved in cancer therapy, such as medical oncologists, radiotherapists, gynecologists, gastroenterologists, urologists, surgeons, and pneumologists, among others. Across Europe, the situation of cancer care can be variable due to the diversity of health systems, differences in drug reimbursement, and the degree of establishment of Medical Oncology as a medical specialty in the European Union states.

Mechanistic population Models in Biology: Model Derivation and Application

In general, models of ecological systems can be broadly categorized as ’top-down’ or ’bottom-up’ models, based on the hierarchical level that the model processes are formulated on. The structure of a top-down, also known as phenomenological, population model can be interpreted in terms of population characteristics, but it typically lacks an interpretation on a more basic level. In contrast, bottom-up, also known as mechanistic, population models are derived from assumptions and processes on a more basic level, which allows interpretation of the model parameters in terms of individual behavior. Both approaches, phenomenological and mechanistic modelling, can have their advantages and disadvantages in different situations. However, mechanistically derived models might be better at capturing the properties of the system at hand, and thus give more accurate predictions. In particular, when models are used for evolutionary studies, mechanistic models are more appropriate, since natural selection takes place on the individual level, and in mechanistic models the direct connection between model parameters and individual properties has already been established. The purpose of this thesis is twofold. Firstly, a systematical way to derive mechanistic discrete-time population models is presented. The derivation is based on combining explicitly modelled, continuous processes on the individual level within a reproductive period with a discrete-time maturation process between reproductive periods. Secondly, as an example of how evolutionary studies can be carried out in mechanistic models, the evolution of the timing of reproduction is investigated. Thus, these two lines of research, derivation of mechanistic population models and evolutionary studies, are complementary to each other.

A cell spot microarray method for high-throughput biology

High-throughput screening of cellular effects of RNA interference (RNAi) libraries is now being increasingly applied to explore the role of genes in specific cell biological processes and disease states. However, the technology is still limited to specialty laboratories, due to the requirements for robotic infrastructure, access to expensive reagent libraries, expertise in high-throughput screening assay development, standardization, data analysis and applications. In the future, alternative screening platforms will be required to expand functional large-scale experiments to include more RNAi constructs, allow combinatorial loss-of-function analyses (e.g. genegene or gene-drug interaction), gain-of-function screens, multi-parametric phenotypic readouts or comparative analysis of many different cell types. Such comprehensive perturbation of gene networks in cells will require a major increase in the flexibility of the screening platforms, throughput and reduction of costs. As an alternative for the conventional multi-well based high-throughput screening -platforms, here the development of a novel cell spot microarray method for production of high density siRNA reverse transfection arrays is described. The cell spot microarray platform is distinguished from the majority of other transfection cell microarray techniques by the spatially confined array layout that allow highly parallel screening of large-scale RNAi reagent libraries with assays otherwise difficult or not applicable to high-throughput screening. This study depicts the development of the cell spot microarray method along with biological application examples of high-content immunofluorescence and phenotype based cancer cell biological analyses focusing on the regulation of prostate cancer cell growth, maintenance of genomic integrity in breast cancer cells, and functional analysis of integrin protein-protein interactions in situ.

High-Throughput Screening for Novel Prostate Cancer Drug Targets –Getting Personal

Prostate cancers form a heterogeneous group of diseases and there is a need for novel biomarkers, and for more efficient and targeted methods of treatment. In this thesis, the potential of microarray data, RNA interference (RNAi) and compound screens were utilized in order to identify novel biomarkers, drug targets and drugs for future personalized prostate cancer therapeutics. First, a bioinformatic mRNA expression analysis covering 9873 human tissue and cell samples, including 349 prostate cancer and 147 normal prostate samples, was used to distinguish in silico prevalidated putative prostate cancer biomarkers and drug targets. Second, RNAi based high-throughput (HT) functional profiling of 295 prostate and prostate cancer tissue specific genes was performed in cultured prostate cancer cells. Third, a HT compound screen approach using a library of 4910 drugs and drug-like molecules was exploited to identify potential drugs inhibiting prostate cancer cell growth. Nine candidate drug targets, with biomarker potential, and one cancer selective compound were validated in vitro and in vivo. In addition to androgen receptor (AR) signaling, endoplasmic reticulum (ER) function, arachidonic acid (AA) pathway, redox homeostasis and mitosis were identified as vital processes in prostate cancer cells. ERG oncogene positive cancer cells exhibited sensitivity to induction of oxidative and ER stress, whereas advanced and castrate-resistant prostate cancer (CRPC) could be potentially targeted through AR signaling and mitosis. In conclusion, this thesis illustrates the power of systems biological data analysis in the discovery of potential vulnerabilities present in prostate cancer cells, as well as novel options for personalized cancer management.

The Dual Role of HIF Hydroxylase PHD3 in Cancer Cell Survival

Most advanced tumours face periods of reduced oxygen availability i.e. hypoxia. During these periods tumour cells undergo adaptive changes enabling their survival under adverse conditions. In cancer hypoxia-induced cellular changes cause tumour progression, hinder cancer treatment and are indicative of poor prognosis. Within cells the main regulator of hypoxic responses is the hypoxia-inducible factor (HIF). HIF governs the expression of over a hundred hypoxia-inducible genes that regulate a number of cellular functions such as angiogenesis, glucose metabolism and cell migration. Therefore the activity of HIF must be tightly governed. HIF is regulated by a family of prolyl hydroxylase enzymes, PHDs, which mark HIF for destruction in normoxia. Under hypoxic conditions PHDs lose much of their enzymatic activity as they need molecular oxygen as a cofactor. Out of the three PHDs (PHD1, 2 and 3) PHD2 has been considered to be the main HIF-1 regulator in normoxic conditions. PHD3 on the other hand shows the most robust induction in response to oxygen deprivation and it has been implied as the main HIF-1 regulator under prolonged hypoxia. SQSTM1/p62 (p62) is an adaptor protein that functions through its binding motifs to bring together proteins in order to regulate signal transduction. In non-stressed situations p62 levels are kept low but its expression has been reported to be upregulated in many cancers. It has a definitive role as an autophagy receptor and as such it serves a key function in cancer cell survival decisions. In my thesis work I evaluated the significance of PHD3 in cancer cell and tumour biology. My results revealed that PHD3 has a dual role in cancer cell fate. First, I demonstrated that PHD3 forms subcellular protein aggregates in oxygenated carcinoma cells and that this aggregation promotes apoptosis induction in a subset of cancer cells. In these aggregates an adaptor protein SQSTM1/p62 interacts with PHD3 and in so doing regulates PHD3 expression. SQSTM1/p62 expression is needed to keep PHD3 levels low in normoxic conditions. Its levels rapidly decrease in response to hypoxia allowing PHD3 protein levels to be upregulated and the protein to be diffusely expressed throughout the cell. The interaction between PHD3 and SQSTM1/p62 limits the ability of PHD3 to function on its hydroxylation target protein HIF-1alpha. Second, the results indicate that when PHD3 is upregulated under hypoxia it protects cancer cells by allowing cell cycle to proceed from G1 to S-phase. My data demonstrates that PHD3 may either cause cell death or protect the cells depending on its expression pattern and the oxygen availability of tumours.

PV-1: Leukocyte trafficking molecule and vascular marker

The distinction between lymphatic vessels and blood vessels is a crucial factor in many studies in immunology, vascular biology and cancer biology. They both share several characteristics and perform related, though different functions. They are equally important for the performance of the human immune system with the continuous recirculation of leukocytes from the tissues via lymphatics to the blood vessels and back into the tissue presenting the link between both systems. This study was undertaken to elucidate the differences in the gene expression between primary blood- and lymphatic endothelial cells as well as the two immortalized cell lines HMEC-1 (human microvascular endothelial cell line 1) and TIME (telomerase immortalized microvascular endothelial cell line). Furthermore, we wanted to investigate the mystery surrounding the identity of the antigen recognized by the prototype blood vascular marker PAL-E. In the last step we wanted to study whether the PAL-E antigen would be involved in the process of leukocyte migration from the bloodstream into the surrounding tissue. Our results clearly show that the gene expression in primary blood endothelial cells (BEC), lymphatic endothelial cells (LEC) and the cell lines HMEC-1 and TIME is plastic. Comparison of a large set of BEC- and LEC datasets allowed us to assemble a catalog of new, stable BEC- or LEC specific markers, which we verified in independent experiments. Additionally, several lines of evidence demonstrated that PAL-E recognizes plasmalemma vesicle associated protein 1 (PV-1), which can form complexes with vimentin and neuropilin-1. Finally, numerous in vitro and in vivo experiments identify the first function of the protein PV-1 during leukocyte trafficking, where it acts as regulatory molecule.

Understanding the complexity in low dimensional systems

Complex System is any system that presents involved behavior, and is hard to be modeled by using the reductionist approach of successive subdivision, searching for ''elementary'' constituents. Nature provides us with plenty of examples of these systems, in fields as diverse as biology, chemistry, geology, physics, and fluid mechanics, and engineering. What happens, in general, is that for these systems we have a situation where a large number of both attracting and unstable chaotic sets coexist. As a result, we can have a rich and varied dynamical behavior, where many competing behaviors coexist. In this work, we present and discuss simple mechanical systems that are nice paradigms of Complex System, when they are subjected to random external noise. We argue that systems with few degrees of freedom can present the same complex behavior under quite general conditions.

Reproductive biology of Pseudolaelia corcovadensis Porto & Brade (Orchidaceae): melittophyly and self-compatibility in a basal Laeliinae

The floral biology, mating systems and phenology of Pseudolaelia corcovadensis (Orchidaceae), in the "Estação de Pesquisa e Desenvolvimento Ambiental de Peti", São Gonçalo do Rio Abaixo, Minas Gerais state was studied. This species flowers from April to September, with a higher availability of flowers in June and July. The flowers are dark-pink, strongly zygomorphic, and have osmophores and nectar-guides absorbing ultraviolet light. However, the flowers of P. corcovadensis do not present nectar and are pollinated by Bombus (Fervidobombus) atratus Franklin, 1913 (Hymenoptera: Apidae) by deceit. Apparently, the flowers do not form a model-mimic pair with other species in the community, but mimic a generalized melittophilous food-flower. As a consequence, visits are very rare and fruit set is low (18%). Pseudolaelia corcovadensis is self-compatible and presents inbreeding depression in the early stages of development. The phylogenetic position of the genus Pseudolaelia and studies on floral biology in related genera suggest that melittophyly and self-compatibility are basal characters in the subtribe Laeliinae, with subsequent adaptive radiation to pollination by hummingbirds, Lepidoptera, Diptera and other Hymenoptera.

Influence of surface functionalization on the behavior of silica nanoparticles in biological systems

Personalized nanomedicine has been shown to provide advantages over traditional clinical imaging, diagnosis, and conventional medical treatment. Using nanoparticles can enhance and clarify the clinical targeting and imaging, and lead them exactly to the place in the body that is the goal of treatment. At the same time, one can reduce the side effects that usually occur in the parts of the body that are not targets for treatment. Nanoparticles are of a size that can penetrate into cells. Their surface functionalization offers a way to increase their sensitivity when detecting target molecules. In addition, it increases the potential for flexibility in particle design, their therapeutic function, and variation possibilities in diagnostics. Mesoporous nanoparticles of amorphous silica have attractive physical and chemical characteristics such as particle morphology, controllable pore size, and high surface area and pore volume. Additionally, the surface functionalization of silica nanoparticles is relatively straightforward, which enables optimization of the interaction between the particles and the biological system. The main goal of this study was to prepare traceable and targetable silica nanoparticles for medical applications with a special focus on particle dispersion stability, biocompatibility, and targeting capabilities. Nanoparticle properties are highly particle-size dependent and a good dispersion stability is a prerequisite for active therapeutic and diagnostic agents. In the study it was shown that traceable streptavidin-conjugated silica nanoparticles which exhibit a good dispersibility could be obtained by the suitable choice of a proper surface functionalization route. Theranostic nanoparticles should exhibit sufficient hydrolytic stability to effectively carry the medicine to the target cells after which they should disintegrate and dissolve. Furthermore, the surface groups should stay at the particle surface until the particle has been internalized by the cell in order to optimize cell specificity. Model particles with fluorescently-labeled regions were tested in vitro using light microscopy and image processing technology, which allowed a detailed study of the disintegration and dissolution process. The study showed that nanoparticles degrade more slowly outside, as compared to inside the cell. The main advantage of theranostic agents is their successful targeting in vitro and in vivo. Non-porous nanoparticles using monoclonal antibodies as guiding ligands were tested in vitro in order to follow their targeting ability and internalization. In addition to the targeting that was found successful, a specific internalization route for the particles could be detected. In the last part of the study, the objective was to clarify the feasibility of traceable mesoporous silica nanoparticles, loaded with a hydrophobic cancer drug, being applied for targeted drug delivery in vitro and in vivo. Particles were provided with a small molecular targeting ligand. In the study a significantly higher therapeutic effect could be achieved with nanoparticles compared to free drug. The nanoparticles were biocompatible and stayed in the tumor for a longer time than a free medicine did, before being eliminated by renal excretion. Overall, the results showed that mesoporous silica nanoparticles are biocompatible, biodegradable drug carriers and that cell specificity can be achieved both in vitro and in vivo.

Mixed reproduction systems in Opuntia monacantha (Cactaceae) in Southern Brazil

The Cactaceae have morphological and physiological adaptations associated with their life histories that are reflected in different modes of reproduction and multiplication. The reproductive phenology, preferential reproductive mode, and the sexual and asexual multiplication of Opuntia monacantha were investigated between 2003 and 2006 in two restinga (sandy coastal) environment in Southern Brazil to determine the adaptive values of its reproduction modes. Flowering was annual and occurred continuous for approximately 100 days between the months of September and January, with a few flowers opening per day per individual (but many in the whole population). Facultative xenogamy was identified as the preferential sexual system, with the highest levels of fruit and seed formation following natural pollination. The seeds are recalcitrant and have high germinative capacities under laboratory conditions. Seedling recruitment and establishment in the field was extremely reduced. The skins of the fruits and the cladodes have high capacities for regeneration and clonal multiplication because of their areolas.

Human DNA repair diseases: From genome instability to cancer

Several human genetic syndromes have long been recognized to be defective in DNA repair mechanisms. This was first discovered by Cleaver (1968), who showed that cells from patients with xeroderma pigmentosum (XP) were defective for the ability to remove ultraviolet (UV)-induced lesions from their genome. Since then, new discoveries have promoted DNA repair studies to one of the most exciting areas of molecular biology. The present work intends to give a brief summary of the main known human genetic diseases related to DNA repair and how they may be linked to acquired diseases such as cancer

Biology and clinical utilization of mesenchymal progenitor cells

Within the complex cellular arrangement found in the bone marrow stroma there exists a subset of nonhematopoietic cells referred to as mesenchymal progenitor cells (MPC). These cells can be expanded ex vivo and induced, either in vitro or in vivo, to terminally differentiate into at least seven types of cells: osteocytes, chondrocytes, adipocytes, tenocytes, myotubes, astrocytes and hematopoietic-supporting stroma. This broad multipotentiality, the feasibility to obtain MPC from bone marrow, cord and peripheral blood and their transplantability support the impact that the use of MPC will have in clinical settings. However, a number of fundamental questions about the cellular and molecular biology of MPC still need to be resolved before these cells can be used for safe and effective cell and gene therapies intended to replace, repair or enhance the physiological function of the mesenchymal and/or hematopoietic systems.

ERBB4 mutations in cancer and amyotrophic lateral sclerosis

ErbB receptor tyrosine kinases, epidermal growth factor receptor (EGFR, also known as ErbB1), ErbB2 (HER2 or NEU), ErbB3 (HER3), and ErbB4 (HER4), transduce signals borne by extracellular ligands into central cellular responses such as proliferation, survival, differentiation, and apoptosis. Mutations in ERBB genes are frequently detected in human malignant diseases of epithelial and neural origin, making ErbB receptors important drug targets. Targeting EGFR and ErbB2 has been successful in eg. lung and breast cancer, respectively, and mutations in these genes can be used to select patients that are responsive to the targeted treatment. Although somatic ERBB4 mutations have been found in many high-incidence cancers such as melanoma, lung cancer, and colorectal cancer and germ-line ERBB4 mutations have been linked to neuronal disorders and cancer, ErbB4 has generally been neglected as a potential drug target. Thus, the consequences of ERBB4 mutations on ErbB4 biology are largely unknown. This thesis aimed to elucidate the functional consequences and assess the clinical significance of somatic and germ-line ERBB4 mutations in the context of cancer and amyotrophic lateral sclerosis. The results of this study indicated that cancer-associated ERBB4 mutations can promote aberrant ErbB4 function by activating the receptor or inducing qualitative changes in ErbB4 signaling. ERBB4 mutations increased survival or decreased differentiation in vitro, suggesting that ERBB4 mutations can be oncogenic. Importantly, the potentially oncogenic mutations were located in various subdomains in ErbB4, possibly providing explanation for the characteristic scattered pattern of mutations in ERBB4. This study also demonstrated that hereditary variation in ERBB4 gene can have a significant effect on the prognosis of breast cancer. In addition, it was shown that hereditary or de novo germ-line ERBB4 mutations that predispose to amyotrophic lateral sclerosis inhibit ErbB4 activity. Together, these results suggest that ErbB4 should be considered as a novel drug target in cancer and amyotrophic lateral sclerosis.