877 resultados para Segmentation, Targeting and Positioning
Resumo:
Cancer is the most devastating disease that has tremendous impacts on public health. Many efforts have been devoted to fighting cancer through either translational or basic researches for years. Nowadays, it emerges the importance to converge these two research directions and complement to each other for battling with cancer. Thus, our study aims at both translational and basic research directions. The first goal of our study is focus on translational research to search for new agents targeting prevention and therapy of advanced prostate cancer. Hormone refractory prostate cancer is incurable and lethal. Androgen receptor (AR) mediates androgen's effect not only on the tumor initiation but also plays the major role in the relapse transition of prostate cancer. Here we demonstrate that emodin, a natural compound, can directly target AR to suppress prostate cancer cell growth in vitro and prolong the survival of C3(1)/SV40 transgenic mice in vivo. Emodin treatment resulted in repressing androgen-dependent transactivation of AR by inhibiting AR nuclear translocation. Emodin decreased the association of AR and heat shock protein 90 and increased the association of AR and MDM2, which in turn, induces AR degradation through a proteasome-mediated pathway in a ligand independent manner. Our work indicates a new mechanism for the emodin-mediated anticancer effect and justifies further investigation of emodin as a therapeutic and preventive agent for prostate cancer. The second goal of our study is try to elucidate the fundamental tumor biology of cancer progression then provide the rationale to develop more efficient therapeutic strategy. Enhancer of zeste homologue 2 (EZH2) plays an important role in many biological processes through its intrinsic methyltransferase activity to trimethylate lysine 27 in histone H3. Although overexpression of EZH2 has been shown to be involved in cancer progression, the detailed mechanisms are elusive. Here, we show that Akt phosphorylates EZH2 at serine 21 and suppresses its methyltransferase activity by impeding the binding to its substrate histone H3, resulting in a decrease of lysine 27 trimethylation and derepression of silenced genes, thus promotes cell proliferation and tumorigenicity. Our results also show that histone methylation is not permanent but regulated in a dynamic manner and that the Akt signaling pathway is involved in the regulation of this epigenetic modification through phosphorylation of EZH2, thus contributing to oncogenic processes. ^
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Increased dependence on aerobic glycolysis for energy (ATP) supply has been observed in various human cancer cells. It is plausible to exploit this metabolic alteration for therapeutic benefits by inhibiting glycolysis to preferentially abolish cancer energy metabolism and kill the malignant cells. 3-Bromopyruvate has been shown to be a potent inhibitor of glycolysis capable of inducing severe ATP reduction and cell death in various cancer cell lines, especially cancer cells with mitochondrial defects or under hypoxic conditions. However, the detailed mechanisms of this novel anticancer agent still remain unclear. My study demonstrated that 3-Bromopyruvate caused a covalent modification of hexokinase II, a key glycolytic enzyme, and disrupted its association with mitochondria. This led to mitochondrial permeability transition and a substantial release of apoptosis-inducing faction (AIF) prior to cytochrome c release. Dissociation of HK II from mitochondria using a cell permeable specific peptide also induced the release of AIF and cytochrome c, and caused substantial cell death. HK II-targeted peptide did not cause significant change in mitochondria respiration and glycolysis activity, suggesting that dissociation of this molecule from mitochondria alone can also cause cell death, and that this may be a novel mechanism by which 3-Bromopyruvate exerts its potent cytotoxic action, in addition to its inhibition of the enzyme activity. Another significant new discovery was that 3-Bromopyruvate induced rapid reduction of protein ubiquitination in vivo, which occurred within several hours of drug incubation and before ATP reduction and cell death. Further mechanistic studies showed that this was due to the inhibition the ubiquitin activating enzyme E1 and the conjugating enzyme E2. Knocking down ubiquitin protein expression by siRNA did not suppress mitochondria respiration and glycolysis, but caused significant cell death. Taken together, this study demonstrated that induction of HK II dissociation from mitochondria and inhibition of glycolysis are two newly discovered mechanisms that contribute to the potent anticancer activity of 3-Bromopyruvate, and identified this compound as a valuable chemical tool for research in protein ubiquitination. ^
Resumo:
Multiple myeloma (MM) is a debilitating and incurable B-cell malignancy. Previous studies have documented that the hepatocyte growth factor (HGF) plays a role in the pathobiology of MM. The receptor tyrosine kinase MET induced signaling initiates when its ligand HGF binds to the MET receptor. However, the direct importance of MET in MM has not been elucidated. The present work used three different but complementary approaches to reduce MET protein levels or its activity to demonstrate the importance of MET in MM. ^ In the first approach, MET transcript and protein levels were reduced by directly targeting the cellular MET transcripts using shRNA retroviral infection techniques. This direct reduction of MET mRNA leads to a reduction of MET protein levels, which caused an inhibition of growth and induction of cell death. ^ In the second approach, a global transcription inhibitor flavopiridol was used as a potential pharmacological tool to reduce MET levels. MET has a short half-life of 30 min for mRNA and 4 hours for protein; therefore using a RNA pol II inhibitor such as flavopiridol would be a viable option to reduce MET levels. When using flavopiridol in MM cell lines, there was a reduction of MET transcript and protein levels, which was associated with the induction of cell death. ^ Finally in the last strategy, MET kinase activity was suppressed by MP470, a small molecule inhibitor that binds to the ATP binding pocket in the kinase domain. At concentrations where phosphorylation of MET was inhibited there was induction of cell death in MM cell lines and primary cells from patients. In addition, in MM cell lines there was a decrease in phosphorylation of AKT (ser473) and caspase-9 (ser196); downstream of MET, suggesting that the mechanism of action for survival may be through these cascade of events. ^ Overall, this study provides a proof-of-principle that MET is important for the survival of MM cell lines as well as primary plasma cells obtained from patients. Therefore, targeting MET therapeutically may be a possible strategy to treat patients with this debilitating disease of MM. ^
Resumo:
Uterine leiomyosarcoma (ULMS) is an aggressive malignancy characterized by marked chemoresistance, frequent relapses, and poor outcome. Despite efforts to improve survival over the past several decades, only minimal advances have been made. Hence, there is an urgent and unmet need for better understanding of the molecular deregulations that underlay ULMS and development of more effective therapeutic strategies. This work identified several common deregulations in a large (n=208) tissue microarray of ULMS compared to GI smooth muscle, myometrium, and leiomyoma controls. Our results suggest that significant loss of smooth muscle and gynecological differentiation markers is common in ULMS, a finding that could help render improved ULMS diagnosis, especially for advanced disease. Similarly to reports in other malignancies, we found that several cancer-related proteins were differentially expressed; these could be useful together as biomarkers for ULMS. Notably, we identified significant upregulation and overexpression of the mTOR pathway in ULMS, examined the possible contribution of tyrosine kinase receptor deregulation promoting mTOR activation, and unraveled a role for pS6RP and p4EBP1 as molecular disease prognosticators. The significance of mTOR activation in ULMS and its potential as a therapeutic target were further investigated. Rapamycin abrogated ULMS cell growth and cell cycle progression in vitro but induced only sight growth delay in vivo. Given that effective mTOR therapies likely require combination mTOR blockade with inhibition of other targets, coupled with recent observations suggesting that Aurora A kinase (Aurk A) deregulations commonly occur in ULMS, the preclinical impact of dually targeting both pathways was evaluated. Combined therapy with rapamycin (an mTORC1 inhibitor) and MLN8237 (an investigational Aurk A inhibitor) profoundly and synergistically abrogated ULMS growth in vitro. Interestingly, the superior effects were noted only when MLN8237 was pre-administered. This novel therapeutic combination and scheduling regimen resulted in marked tumor growth inhibition in vivo. Together, these data support further exploration of dual mTOR and Aurk A blockade for the treatment of human ULMS.
Resumo:
The prevalence of obesity has continued to rise over the last several decades in the United States lending to overall increases in risk for chronic diseases including many types of cancer. In contrast, reduction in energy consumption via calorie restriction (CR) has been shown to be a potent inhibitor of carcinogenesis across a broad range of species and tumor types. Previous data has demonstrated differential signaling through Akt and mTOR via the IGF-1R and other growth factor receptors across the diet-induced obesity (DIO)/CR spectrum. Furthermore, mTORC1 is known to be regulated directly via nutrient availability, supporting its role in the link between epithelial carcinogenesis and diet-induced obesity. In an effort to better understand the importance of mTORC1 in the context of both positive and negative energy balance during epithelial carcinogenesis, we have employed the use of specific pharmacological inhibitors, rapamycin (mTORC1 inhibitor) and metformin (AMPK activator) to target mTORC1 or various components of this pathway during skin tumor promotion. Two-stage skin carcinogenesis studies demonstrated that mTORC1 inhibition via rapamycin, metformin or combination treatments greatly inhibited skin tumor development in normal, overweight and obese mice. Furthermore, mechanisms by which these chemopreventive agents may be exerting their anti-tumor effects were explored. In addition, the effect of these compounds on the epidermal proliferative response was analyzed and drastic decreases in epidermal hyperproliferation and hyperplasia were found. Rapamycin also inhibited dermal inflammatory cell infiltration in a dose-dependent manner. Both compounds also blocked or attenuated TPA-induced signaling through epidermal mTORC1 as well as several downstream targets. In addition, inhibition of this pathway by metformin appeared to be, at least in part, dependent on AMPK activation in the skin. Overall, the data indicate that pharmacological strategies targeting this pathway offset the tumor-enhancing effects of DIO and may serve as possible CR mimetics. They suggest that mTORC1 contributes significantly to the process of skin tumor promotion, specifically during dietary energy balance effects. Exploiting the mechanistic information underlying dietary energy balance responsive pathways will help translate decades of research into effective strategies for prevention of epithelial carcinogenesis.
Resumo:
The purpose of this study was to design, synthesize and develop novel transporter targeting agents for image-guided therapy and drug delivery. Two novel agents, N4-guanine (N4amG) and glycopeptide (GP) were synthesized for tumor cell proliferation assessment and cancer theranostic platform, respectively. N4amG and GP were synthesized and radiolabeled with 99mTc and 68Ga. The chemical and radiochemical purities as well as radiochemical stabilities of radiolabeled N4amG and GP were tested. In vitro stability assessment showed both 99mTc-N4amG and 99mTc-GP were stable up to 6 hours, whereas 68Ga-GP was stable up to 2 hours. Cell culture studies confirmed radiolabeled N4amG and GP could penetrate the cell membrane through nucleoside transporters and amino acid transporters, respectively. Up to 40% of intracellular 99mTc-N4amG and 99mTc-GP was found within cell nucleus following 2 hours of incubation. Flow cytometry analysis revealed 99mTc-N4amG was a cell cycle S phase-specific agent. There was a significant difference of the uptake of 99mTc-GP between pre- and post- paclitaxel-treated cells, which suggests that 99mTc-GP may be useful in chemotherapy treatment monitoring. Moreover, radiolabeled N4amG and GP were tested in vivo using tumor-bearing animal models. 99mTc-N4amG showed an increase in tumor-to-muscle count density ratios up to 5 at 4 hour imaging. Both 99mTc-labeled agents showed decreased tumor uptake after paclitaxel treatment. Immunohistochemistry analysis demonstrated that the uptake of 99mTc-N4amG was correlated with Ki-67 expression. Both 99mTc-N4amG and 99mTc-GP could differentiate between tumor and inflammation in animal studies. Furthermore, 68Ga-GP was compared to 18F-FDG in rabbit PET imaging studies. 68Ga-GP had lower tumor standardized uptake values (SUV), but similar uptake dynamics, and different biodistribution compared with 18F-FDG. Finally, to demonstrate that GP can be a potential drug carrier for cancer theranostics, several drugs, including doxorubicin, were selected to be conjugated to GP. Imaging studies demonstrated that tumor uptake of GP-drug conjugates was increased as a function of time. GP-doxorubicin (GP-DOX) showed a slow-release pattern in in vitro cytotoxicity assay and exhibited anti-cancer efficacy with reduced toxicity in in vivo tumor growth delay study. In conclusion, both N4amG and GP are transporter-based targeting agents. Radiolabeled N4amG can be used for tumor cell proliferation assessment. GP is a potential agent for image-guided therapy and drug delivery.
Resumo:
Today there are approximately 581,000 children in the United States foster care system. Children of color, one special population group, are disproportionately represented in the foster care system. Family preservation, a program that aims to improve family functioning and thus decrease the need for foster care, has been examined closely. Some researchers believe that family preservation programs have failed partly due to practitioners' inability to target appropriate families (Feldman, 1990; Schuerman, Rzepnicki & Littell, 1994). Additionally, research confirms that children of color are not the target of family preservation services (Denby, Curtis, & Alford, 1998). Improvements in the effectiveness of family preservation will require many types of reform both internal and external to the program. Among the types of internal reform needed is accurate "targeting of services. " Given the overrepresentation of children of color in the foster care system, this group must be among those who are targeted for services. The results of a national survey of 254 family preservation workers reveal a "profile" of the worker who is likely to target special populations, including children of color, for family preservation services. A case is made for service improvements and training to facilitate the "profiled" workers' competencies.
Resumo:
To ensure the success of systemic gene therapy, it is critical to enhance the tumor specificity and activity of the promoter. In the current study, we identified the breast cancer-specific activity of the topoisomerase IIα promoter. We further showed that cdk2 and cyclin A activate topoisomerase IIα promoter in a breast cancer-specific manner. An element containing an inverted CCAAT box (ICB) was shown to respond this signaling. When the ICB-harboring topoisomerase IIα minimal promoter was linked with an enhancer sequence from the cytomegalovirus immediate early gene promoter (CMV promoter), this composite promoter, CT90, exhibited activity comparable to or higher than the CMV promoter in breast cancer cells in vitro and in vivo, yet expresses much lower activity in normal cell lines and normal organs than the CMV promoter. A CT90-driven construct expressing BikDD, a potent pro-apoptotic gene, was shown to selectively kill breast cancer cells in vitro and to suppress mammary tumor development in an animal model of intravenously administrated, liposome-delivered gene therapy. Expression of BikDD was readily detectable in the tumors but not in the normal organs of CT90-BikDD-treated animals. Finally, we demonstrated that CT90-BikDD treatment potentially enhanced the sensitivity of breast cancer cells to chemotherapeutic agents, especially doxorubicin and taxol. The results indicate that liposomal CT90-BikDD is a novel and effective systemic breast cancer-targeting gene therapy, and its combination with chemotherapy may further improve the current adjuvant therapy for breast cancer. ^
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This paper empirically analyzes whether and to what extent the adoption of inflation targeting (IT) in Korea, Indonesia, Thailand and the Philippines has affected their business cycle synchronization with the rest of the world. By employing the dynamic conditional correlation (DCC) model developed by Engle (2002), we find that IT in Asia has little effect on international business cycle synchronization and the effect is positive in some of the countries, if any. These findings basically seem to be consistent with the evidence from relevant literature.
Resumo:
Recently, vision-based advanced driver-assistance systems (ADAS) have received a new increased interest to enhance driving safety. In particular, due to its high performance–cost ratio, mono-camera systems are arising as the main focus of this field of work. In this paper we present a novel on-board road modeling and vehicle detection system, which is a part of the result of the European I-WAY project. The system relies on a robust estimation of the perspective of the scene, which adapts to the dynamics of the vehicle and generates a stabilized rectified image of the road plane. This rectified plane is used by a recursive Bayesian classi- fier, which classifies pixels as belonging to different classes corresponding to the elements of interest of the scenario. This stage works as an intermediate layer that isolates subsequent modules since it absorbs the inherent variability of the scene. The system has been tested on-road, in different scenarios, including varied illumination and adverse weather conditions, and the results have been proved to be remarkable even for such complex scenarios.
Resumo:
We show a procedure for constructing a probabilistic atlas based on affine moment descriptors. It uses a normalization procedure over the labeled atlas. The proposed linear registration is defined by closed-form expressions involving only geometric moments. This procedure applies both to atlas construction as atlas-based segmentation. We model the likelihood term for each voxel and each label using parametric or nonparametric distributions and the prior term is determined by applying the vote-rule. The probabilistic atlas is built with the variability of our linear registration. We have two segmentation strategy: a) it applies the proposed affine registration to bring the target image into the coordinate frame of the atlas or b) the probabilistic atlas is non-rigidly aligning with the target image, where the probabilistic atlas is previously aligned to the target image with our affine registration. Finally, we adopt a graph cut - Bayesian framework for implementing the atlas-based segmentation.
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We propose a level set based variational approach that incorporates shape priors into edge-based and region-based models. The evolution of the active contour depends on local and global information. It has been implemented using an efficient narrow band technique. For each boundary pixel we calculate its dynamic according to its gray level, the neighborhood and geometric properties established by training shapes. We also propose a criterion for shape aligning based on affine transformation using an image normalization procedure. Finally, we illustrate the benefits of the our approach on the liver segmentation from CT images.
Resumo:
The image by Computed Tomography is a non-invasive alternative for observing soil structures, mainly pore space. The pore space correspond in soil data to empty or free space in the sense that no material is present there but only fluids, the fluid transport depend of pore spaces in soil, for this reason is important identify the regions that correspond to pore zones. In this paper we present a methodology in order to detect pore space and solid soil based on the synergy of the image processing, pattern recognition and artificial intelligence. The mathematical morphology is an image processing technique used for the purpose of image enhancement. In order to find pixels groups with a similar gray level intensity, or more or less homogeneous groups, a novel image sub-segmentation based on a Possibilistic Fuzzy c-Means (PFCM) clustering algorithm was used. The Artificial Neural Networks (ANNs) are very efficient for demanding large scale and generic pattern recognition applications for this reason finally a classifier based on artificial neural network is applied in order to classify soil images in two classes, pore space and solid soil respectively.
Resumo:
The synapses in the cerebral cortex can be classified into two main types, Gray’s type I and type II, which correspond to asymmetric (mostly glutamatergic excitatory) and symmetric (inhibitory GABAergic) synapses, respectively. Hence, the quantification and identification of their different types and the proportions in which they are found, is extraordinarily important in terms of brain function. The ideal approach to calculate the number of synapses per unit volume is to analyze 3D samples reconstructed from serial sections. However, obtaining serial sections by transmission electron microscopy is an extremely time consuming and technically demanding task. Using focused ion beam/scanning electron microscope microscopy, we recently showed that virtually all synapses can be accurately identified as asymmetric or symmetric synapses when they are visualized, reconstructed, and quantified from large 3D tissue samples obtained in an automated manner. Nevertheless, the analysis, segmentation, and quantification of synapses is still a labor intensive procedure. Thus, novel solutions are currently necessary to deal with the large volume of data that is being generated by automated 3D electron microscopy. Accordingly, we have developed ESPINA, a software tool that performs the automated segmentation and counting of synapses in a reconstructed 3D volume of the cerebral cortex, and that greatly facilitates and accelerates these processes.