Analytische Chemie
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Eingeladener Vortrag
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The design and operation of an observational study on the profiles of volatile organic compounds (VOC) in the breath of 37 lung cancer patients and 23 healthy controls of similar age is outlined. The necessity to quantify each VOC considered as potential disease marker on basis of individual calibration is elaborated and the quality control measures required to maintain reproducibility in breath sampling and subsequent instrumental trace VOC analysis using SPME-GC-MS over a study period of 14 months are described. 24 VOC were quantified on basis of their previously suggested potential as cancer markers. The breath concentration levels of aromatic compounds was expectedly increased in smokers while lung cancer patients displayed significantly increased levels of oxygenated VOC such as aldehydes, 2-butanone and 1-butanol. Though sets of selected oxygenated VOC displayed sensitivities and specificities between 80 and 90% using linear discriminant analysis with leave-one-out cross validation the effective selectivity of the breath VOC approach with regard to cancer detection is clearly limited. Results were discussed against the background of the literature on volatile cancer marker investigations and the prospects to link increased VOC levels in patients’ breath with approaches to employ sniffer dogs. Experiences from this study and the literature suggest that the current state of breath VOC based discrimination between cancer patients and healthy controls is hardly improvable. Observational studies tend to observe significant differences mostly in levels of certain oxygenated VOC but without resolution required for practical application. Any step towards practicable exploitation of VOC profile differences for illness detection would have to solve current restrictions set by the low and variable VOC concentrations. Further challenges are the technical complexity of studies involving breath sampling and possibly the limited capability of current analytical procedures to detect instable marker candidates.
Ectoine, a compatible solute and osmolyte, is known to be an effective protectant of biomolecules and whole cells against heating, freezing and extreme salinity. Protection of cells (human keratinocytes) by ectoine against ultraviolet radiation has also been reported by various authors, although the underlying mechanism is not yet understood. We present the first electron irradiation of DNA in a fully aqueous environment in the presence of ectoine and at high salt concentrations. The results demonstrate effective protection of DNA by ectoine against the induction of single-strand breaks by ionizing radiation. The effect is explained by an increase in low-energy electron scattering at the enhanced free-vibrational density of states of water due to ectoine, as well as the use of ectoine as an ˙OH-radical scavenger. This was demonstrated by Raman spectroscopy and electron paramagnetic resonance (EPR).
Glycosylation is a post-translational modification that is involved in the regulation of many biological processes. The glycosylation pattern in cancer cells differs from that in normal cells. One of the main alterations that has been observed in several cancers is the increase of sialic acids at the end of the glycan. The increase of sialic acids and other alterations affect development and progression of tumors and are found to play an important role in cancer invasiveness and metastasis. Molecularly imprinted polymers (MIPs) are synthetic recognition elements that show high selectivity and affinity for their targets. These polymers show promising applications in detection methods for cancer cells. In this study newly synthesized MIPs, labelled with a nitrobenzoxadiazole (NBD) fluorophore, are investigated for their specificity and utility in the detection of cancer cell-related sialic acids.
Cancer is the second leading cause of death globally according to the WHO 2018. Lung, prostate, colorectal, stomach and liver cancer are the most common types of cancer in men, while breast, colorectal, lung, cervix and thyroid cancer are the most common among women. Sialic acid (SA) plays an important role in a variety of biological processes in cells. Tumor cells express high levels of SA, which is often associated with poor prognosis due to increased invasive potential. In this study, we have performed a screening of SA-MIPs binding to different cancer cell lines. The overall aim is to use the SA-MIPs for detection of tumor cells, analyzed by flow cytometry and fluorescence microscopy. To confirm the levels of SA expression on the investigated cell lines, we started out by analyzing the binding of the lectins MAL I and SNA. The staining pattern of the two lectins binding to either α-2,3 or α-2,6 linkage SA, respectively, was compared with the staining pattern of the SA-MIPs. We show that the different cell types analyzed have a varying pattern of SA-MIP binding. The comparison with lectin binding will be further evaluated.
Cancer is a leading cause of death worldwide, and its early detection and resultant treatment contributes significantly to patient recovery and survival. Detection is currently based on magnetic resonance imaging and computed tomography, methods that are expensive, while processing of the results is time-consuming1. There is a need for low-cost cancer detection techniques that give conclusive results in the shortest time possible. When equipped with a reporter function, molecularly imprinted polymers (MIPs) targeting tumor markers on cancerous cells may provide a cheaper solution for imaging-based cancer detection. Thin MIP layers immobilized on particle platforms are ideal in this regard, because a fluorescence reporter can be integrated into the particle core and/or MIP shell and such core/shell nanoparticles show faster response times and increased selectivity in comparison to bulk MIPs.
Changes in sialylation patterns of cell surface glycans indicate malignancy2. Here, we present the development of MIPs that target sialic acid-terminated glycans (SA MIPs), prepared as a thin layer on a polystyrene core/silica shell nanoparticle platform. The MIP particles contain fluorescent emitters and can be applied in fluorescence imaging of malignant tumors. Dynamic light scattering (DLS) and transmission electron microscopy (TEM) are used for structural characterization. Binding capacity of the MIPs to target glycans and competing sugars is also evaluated and compared to that of the corresponding non-imprinted polymer particles (NIP).
Metastasis is the main cause of death from colorectal cancer (CRC). About 20% of stage II CRC patients develop metastasis during the course of disease. We performed metabolic profiling of plasma samples from non-metastasized and metachronously metastasized stage II CRC patients to assess the potential of plasma metabolites to serve as biomarkers for stratification of stage II CRC patients according to metastasis risk. We compared the metabolic profiles of plasma samples prospectively obtained prior to metastasis formation from non-metastasized vs. metachronously metastasized stage II CRC patients of the German population-based case–control multicenter DACHS study retrospectively. Plasma samples were analyzed from stage II CRC patients for whom follow-up data including the information on metachronous metastasis were available. To identify metabolites distinguishing non-metastasized from metachronously metastasized stage II CRC patients robust supervised classifications using decision trees and support vector machines were performed and verified by 10-fold cross-validation, by nested cross-validation and by traditional validation using training and test sets. We found that metabolic profiles distinguish non-metastasized from metachronously metastasized stage II CRC patients. Classification models from decision trees and support vector machines with 10-fold cross-validation gave average accuracy of 0.75 (sensitivity 0.79, specificity 0.7) and 0.82 (sensitivity 0.85, specificity 0.77), respectively, correctly predicting metachronous metastasis in stage II CRC patients. Taken together, plasma metabolic profiles distinguished non-metastasized and metachronously metastasized stage II CRC patients. The classification models consisting of few metabolites stratify non-invasively stage II CRC patients according to their risk for metachronous metastasis.
Multidrug resistance resulting from a variety of defensive pathways in Cancer has become a global concern with a considerable impact on the mortality associated with the failure of traditional chemotherapy. Therefore, further research and new therapies are required to overcome this challenge. In this work, a cyclic R10 peptide (cR10) is conjugated to polyglycerol-covered nanographene oxide to engineer a nanoplatform for the surmounting of multidrug resistance. The nuclear translocation of the nanoplatform, facilitated by cR10 peptide, and subsequently, a laser-triggered release of the loaded doxorubicin result in efficient anticancer activity confirmed by both in vitro and in vivo experiments. The synthesized nanoplatform with a combination of different features, including active nucleus-targeting, highloading capacity, controlled release of cargo, and photothermal property, provides a new strategy for circumventing multidrug resistant cancers.
Design, Synthesis and Characterization of Fluorescent MIP Particles for Labelling of Malignant Cells
(2020)
Cancer is a leading cause of death worldwide, and its early detection and resultant treatment contributes significantly to patient recovery and survival. Detection is currently based on magnetic resonance imaging and computed tomography, methods that are expensive, while processing of the results is time-consuming1. There is a need for low-cost cancer detection techniques that give conclusive results in the shortest time possible. When equipped with a reporter function, molecularly imprinted polymers (MIPs) targeting tumor markers on cancerous cells may provide a cheaper solution for imaging-based cancer detection. Thin MIP layers immobilized on particle platforms are ideal in this regard, because a fluorescence reporter can be integrated into the particle core and/or MIP shell and such core/shell nanoparticles show faster response times and increased selectivity in comparison to bulk MIPs.
Changes in sialylation patterns of cell surface glycans indicate malignancy2. Here, we present the design, synthesis and characterization of MIPs that target sialic acid-terminated glycans (SA MIPs), prepared as a thin layer on a polystyrene core/silica shell nanoparticle platform. The MIP particles contain fluorescent emitters and can be applied in fluorescence imaging of malignant tumors. Dynamic light scattering (DLS) and transmission electron microscopy (TEM) are used for structural characterization. Binding capacity of the MIPs to target glycans and competing sugars is also evaluated and compared to that of the corresponding non-imprinted polymer particles (NIP).
Ectoine is a small zwitterionic osmolyte and compatible solute, which does not interfere with cell metabolism even at molar concentrations. Plasmid DNA (pUC19) was irradiated with ultraviolet radiation (UV-C at 266 nm) under quasi physiological conditions (PBS) and in pure water in the presence and absence of ectoine (THP(B)) and hydroxyectoine (THP(A)). Different types of UV induced DNA damage were analysed: DNA single-strand breaks (SSBs), abasic sites and cyclobutane pyrimidine dimers (CPDs). A complex interplay between these factors was observed with respect to the nature and occurrence of DNA damage with 266 nm photons. In PBS, the cosolutes showed efficient protection against base damage, whilst in pure water, a dramatic shift from SSB damage to base damage was observed when cosolutes were added. To test whether these effects are caused by ectoine binding to DNA, further experiments were conducted: small-angle X-ray scattering (SAXS), surface-plasmon resonance (SPR) measurements and Raman spectroscopy. The results show, for the first time, a close interaction between ectoine and DNA. This is in stark contrast to the assumption made by preferential exclusion models, which are often used to interpret the behaviour of compatible solutes within cells and with biomolecules. It is tentatively proposed that the alterations of UV damage to DNA are attributed to ectoine influence on nucleobases through the direct interaction between ectoine and DNA.