LY2109761, a novel transforming growth factor beta receptor type I and type II dual inhibitor, as a therapeutic approach to suppressing pancreatic cancer metastasis.

Most pancreatic cancer patients present with inoperable disease or develop metastases after surgery. Conventional therapies are usually ineffective in treating metastatic disease. It is evident that novel therapies remain to be developed. Transforming growth factor beta (TGF-beta) plays a key role in cancer metastasis, signaling through the TGF-beta type I/II receptors (TbetaRI/II). We hypothesized that targeting TbetaRI/II kinase activity with the novel inhibitor LY2109761 would suppress pancreatic cancer metastatic processes. The effect of LY2109761 has been evaluated on soft agar growth, migration, invasion using a fibroblast coculture model, and detachment-induced apoptosis (anoikis) by Annexin V flow cytometric analysis. The efficacy of LY2109761 on tumor growth, survival, and reduction of spontaneous metastasis have been evaluated in an orthotopic murine model of metastatic pancreatic cancer expressing both luciferase and green fluorescence proteins (L3.6pl/GLT). To determine whether pancreatic cancer cells or the cells in the liver microenvironment were involved in LY2109761-mediated reduction of liver metastasis, we used a model of experimental liver metastasis. LY2109761 significantly inhibited the L3.6pl/GLT soft agar growth, suppressed both basal and TGF-beta1-induced cell migration and invasion, and induced anoikis. In vivo, LY2109761, in combination with gemcitabine, significantly reduced the tumor burden, prolonged survival, and reduced spontaneous abdominal metastases. Results from the experimental liver metastasis models indicate an important role for targeting TbetaRI/II kinase activity on tumor and liver microenvironment cells in suppressing liver metastasis. Targeting TbetaRI/II kinase activity on pancreatic cancer cells or the cells of the liver microenvironment represents a novel therapeutic approach to prevent pancreatic cancer metastasis.

Improved cerebellar tissue classification on magnetic resonance images of brain.

PURPOSE: To develop and implement a method for improved cerebellar tissue classification on the MRI of brain by automatically isolating the cerebellum prior to segmentation. MATERIALS AND METHODS: Dual fast spin echo (FSE) and fluid attenuation inversion recovery (FLAIR) images were acquired on 18 normal volunteers on a 3 T Philips scanner. The cerebellum was isolated from the rest of the brain using a symmetric inverse consistent nonlinear registration of individual brain with the parcellated template. The cerebellum was then separated by masking the anatomical image with individual FLAIR images. Tissues in both the cerebellum and rest of the brain were separately classified using hidden Markov random field (HMRF), a parametric method, and then combined to obtain tissue classification of the whole brain. The proposed method for tissue classification on real MR brain images was evaluated subjectively by two experts. The segmentation results on Brainweb images with varying noise and intensity nonuniformity levels were quantitatively compared with the ground truth by computing the Dice similarity indices. RESULTS: The proposed method significantly improved the cerebellar tissue classification on all normal volunteers included in this study without compromising the classification in remaining part of the brain. The average similarity indices for gray matter (GM) and white matter (WM) in the cerebellum are 89.81 (+/-2.34) and 93.04 (+/-2.41), demonstrating excellent performance of the proposed methodology. CONCLUSION: The proposed method significantly improved tissue classification in the cerebellum. The GM was overestimated when segmentation was performed on the whole brain as a single object.

Functional analysis of the amine substrate specificity domain of pepper tyramine and serotonin N-hydroxycinnamoyltransferases.

Pepper (Capsicum annuum) serotonin N-hydroxycinnamoyltransferase (SHT) catalyzes the synthesis of N-hydroxycinnamic acid amides of serotonin, including feruloylserotonin and p-coumaroylserotonin. To elucidate the domain or the key amino acid that determines the amine substrate specificity, we isolated a tyramine N-hydroxycinnamoyltransferase (THT) gene from pepper. Purified recombinant THT protein catalyzed the synthesis of N-hydroxycinnamic acid amides of tyramine, including feruloyltyramine and p-coumaroyltyramine, but did not accept serotonin as a substrate. Both the SHT and THT mRNAs were found to be expressed constitutively in all pepper organs. Pepper SHT and THT, which have primary sequences that are 78% identical, were used as models to investigate the structural determinants responsible for their distinct substrate specificities and other enzymatic properties. A series of chimeric genes was constructed by reciprocal exchange of DNA segments between the SHT and THT cDNAs. Functional characterization of the recombinant chimeric proteins revealed that the amino acid residues 129 to 165 of SHT and the corresponding residues 125 to 160 in THT are critical structural determinants for amine substrate specificity. Several amino acids are strongly implicated in the determination of amine substrate specificity, in which glycine-158 is involved in catalysis and amine substrate binding and tyrosine-149 plays a pivotal role in controlling amine substrate specificity between serotonin and tyramine in SHT. Furthermore, the indisputable role of tyrosine is corroborated by the THT-F145Y mutant that uses serotonin as the acyl acceptor. The results from the chimeras and the kinetic measurements will direct the creation of additional novel N-hydroxycinnamoyltransferases from the various N-hydroxycinnamoyltransferases found in nature.

Interlinked dual-time feedback loops can enhance robustness to stochasticity and persistence of memory.

Multiple interlinked positive feedback loops shape the stimulus responses of various biochemical systems, such as the cell cycle or intracellular Ca2+ release. Recent studies with simplified models have identified two advantages of coupling fast and slow feedback loops. This dual-time structure enables a fast response while enhancing resistances of responses and bistability to stimulus noise. We now find that (1) the dual-time structure similarly confers resistance to internal noise due to molecule number fluctuations, and (2) model variants with altered coupling, which better represent some specific biochemical systems, share all the above advantages. We also develop a similar bistable model with coupling of a fast autoactivation loop to a slow loop. This model's topology was suggested by positive feedback proposed to play a role in long-term synaptic potentiation (LTP). The advantages of fast response and noise resistance are also present in this autoactivation model. Empirically, LTP develops resistance to reversal over approximately 1h . The model suggests this resistance may result from increased amounts of synaptic kinases involved in positive feedback.

DUAL ENERGY COMPUTED TOMOGRAPHY FOR PROTON THERAPY TREATMENT PLANNING

Proton radiation therapy is gaining popularity because of the unique characteristics of its dose distribution, e.g., high dose-gradient at the distal end of the percentage-depth-dose curve (known as the Bragg peak). The high dose-gradient offers the possibility of delivering high dose to the target while still sparing critical organs distal to the target. However, the high dose-gradient is a double-edged sword: a small shift of the highly conformal high-dose area can cause the target to be substantially under-dosed or the critical organs to be substantially over-dosed. Because of that, large margins are required in treatment planning to ensure adequate dose coverage of the target, which prevents us from realizing the full potential of proton beams. Therefore, it is critical to reduce uncertainties in the proton radiation therapy. One major uncertainty in a proton treatment is the range uncertainty related to the estimation of proton stopping power ratio (SPR) distribution inside a patient. The SPR distribution inside a patient is required to account for tissue heterogeneities when calculating dose distribution inside the patient. In current clinical practice, the SPR distribution inside a patient is estimated from the patient’s treatment planning computed tomography (CT) images based on the CT number-to-SPR calibration curve. The SPR derived from a single CT number carries large uncertainties in the presence of human tissue composition variations, which is the major drawback of the current SPR estimation method. We propose to solve this problem by using dual energy CT (DECT) and hypothesize that the range uncertainty can be reduced by a factor of two from currently used value of 3.5%. A MATLAB program was developed to calculate the electron density ratio (EDR) and effective atomic number (EAN) from two CT measurements of the same object. An empirical relationship was discovered between mean excitation energies and EANs existing in human body tissues. With the MATLAB program and the empirical relationship, a DECT-based method was successfully developed to derive SPRs for human body tissues (the DECT method). The DECT method is more robust against the uncertainties in human tissues compositions than the current single-CT-based method, because the DECT method incorporated both density and elemental composition information in the SPR estimation. Furthermore, we studied practical limitations of the DECT method. We found that the accuracy of the DECT method using conventional kV-kV x-ray pair is susceptible to CT number variations, which compromises the theoretical advantage of the DECT method. Our solution to this problem is to use a different x-ray pair for the DECT. The accuracy of the DECT method using different combinations of x-ray energies, i.e., the kV-kV, kV-MV and MV-MV pair, was compared using the measured imaging uncertainties for each case. The kV-MV DECT was found to be the most robust against CT number variations. In addition, we studied how uncertainties propagate through the DECT calculation, and found general principles of selecting x-ray pairs for the DECT method to minimize its sensitivity to CT number variations. The uncertainties in SPRs estimated using the kV-MV DECT were analyzed further and compared to those using the stoichiometric method. The uncertainties in SPR estimation can be divided into five categories according to their origins: the inherent uncertainty, the DECT modeling uncertainty, the CT imaging uncertainty, the uncertainty in the mean excitation energy, and SPR variation with proton energy. Additionally, human body tissues were divided into three tissue groups – low density (lung) tissues, soft tissues and bone tissues. The uncertainties were estimated separately because their uncertainties were different under each condition. An estimate of the composite range uncertainty (2s) was determined for three tumor sites – prostate, lung, and head-and-neck, by combining the uncertainty estimates of all three tissue groups, weighted by their proportions along typical beam path for each treatment site. In conclusion, the DECT method holds theoretical advantages in estimating SPRs for human tissues over the current single-CT-based method. Using existing imaging techniques, the kV-MV DECT approach was capable of reducing the range uncertainty from the currently used value of 3.5% to 1.9%-2.3%, but it is short to reach our original goal of reducing the range uncertainty by a factor of two. The dominant source of uncertainties in the kV-MV DECT was the uncertainties in CT imaging, especially in MV CT imaging. Further reduction in beam hardening effect, the impact of scatter, out-of-field object etc. would reduce the Hounsfeld Unit variations in CT imaging. The kV-MV DECT still has the potential to reduce the range uncertainty further.

Annexin A5-Conjugated Polymeric Micelles For Dual SPECT and Optical Detection of Apoptosis

Apoptosis, a form of programmed cell death, is critical to homoeostasis, normal development, and physiology. Dysregulation of apoptosis can lead to the accumulation of unwanted cells, such as occurs in cancer, and the removal of needed cells or disorders of normal tissues, such as heart, neurodegenerative, and autoimmune diseases. Noninvasive detection of apoptosis may play an important role in the evaluation of disease states and response to therapeutic intervention for a variety of diseases. It is desirable to have an imaging method to accurately detect and monitor this process in patients. In this study, we developed annexin A5-conjugated polymeric micellar nanoparticles dual-labeled with a near-infrared fluorescence fluorophores (Cy7) and a radioisotope (111In), named as 111In-labeled annexin A5-CCPM. In vitro studies demonstrated that annexin A5-CCPM could strongly and specifically bind to apoptotic cells. In vivo studies showed that apoptotic tissues could be clearly visualized by both single photon emission computed tomography (SPECT) and fluorescence molecular tomography (FMT) after intravenous injection of 111In-labeled Annexin A5-CCPM in 6 different apoptosis models. In contrast, there was little signal in respective healthy tissues. All the biodistribution data confirmed imaging results. Moreover, histological analysis revealed that radioactivity count correlated with fluorescence signal from the nanoparticles, and both signals co-localized with the region of apoptosis. In sum, 111In-labeled annexin A5-CCPM allowed visualization of apoptosis by both nuclear and optical imaging techniques. The complementary information acquired with multiple imaging techniques should be advantageous in improving diagnostics and management of patients.

Dual Targeting of Tumor Angiogenesis and Chemotherapy by Endostatin- Cytosine Deaminase-Uracil PhosphoribosylTransferase

Antiangiogenesis is a promising anti-tumor strategy through inhibition tumor vascularformation to suppress tumor growth. Targeting specific VEGF/R has been showntherapeutic benefits in many cancer types and become a first approvedantiangiogenic modalities by Food and Drug Administration (FDA) in United States.However, interruption of homeostasis in normal tissues that is likely due to theinhibition of VEGF/R signaling pathway induces unfavorable side effects. Moreover,cytostatic nature of antiangiogenic drugs frequently causes less tumor cell specifickilling activity, and cancer cells escaped from cell death induced by these drugseven gain more malignant phenotypes, resulting in tumor invasion and metastasis.To overcome these issues, we developed a novel anti-tumor therapeutic EndoCDfusion protein which linked endostatin (Endo) to cytosine deaminase-uracilvphosphoribosyl transferase (CD). Endo targets unique tumor endothelial cells toprovide tumor-specific antiangiogenesis activity and also carries CD to the localtumor area, where it serves nontoxic prodrug 5-fluorocytosine (5-FC) enzymaticconversion reaction to anti-metabolite chemotherapy drug 5-fluorouracil (5-FU). Wedemonstrated that 5-FU concentration was highly increased in tumor sites, resultingin high level of endothelial cells and tumor cells cytotoxic efficacy. Furthermore,EndoCD/5-FC therapy decreased tumor growth and colorectal liver metastasisincident compared with bevacizumab/5-FU treatment in human breast and colorectalliver metastasis orthotropic animal models. In cardiotoxicity safety profile,EndoCD/5-FC is a contrast to bevacizumab/5-FU; lower risk of cardiotoxicityinduction or heart function failure was found in EndoCD/5-FC treatment thanbevacizumab/5-FU does in mice. EndoCD/5-FC showed more potent therapeuticefficacy with high safety profile and provided stronger tumor invasion or metastasisinhibition than antiangiogenic drugs. Together, EndoCD fusion protein with 5-FCshowed dual tumor targeting activities including antiangiogenesis and tumor localchemotherapy, and it could serve as an alternative option for antiangiogenic therapy.

Human placental lactogen enhancer: Tissue specificity and binding with specific proteins

Human placental lactogen (hPL) is a 22,000 dalton protein hormone produced in the placenta. The physiological actions of hPL are not well understood but its major activity is to regulate both maternal and fetal metabolism. hPL stimulates maternal lipolysis increasing free fatty acids in the maternal blood, allowing their use as an energy source by the mother, and sparing glucose for the fetus. It may also act as a growth promoting hormone for the fetus. hPL is produced in increasing amounts as pregnancy progresses. At term, hPL accounts for 10% of protein and 5% of total RNA in the placenta. This high level of hPL production is tissue-specific, as hPL is only produced in the placenta by syncytiotrophoblast cells.^ The objective of this work was to understand the mechanism by which such high levels of hPL are produced in a tissue-specific manner. A transcriptional enhancer found 2.2 kb 3$\sp\prime$ to one of the hPL genes (hPL$\sb3$) may explain the regulation of hPL expression. Transient transfection experiments using the hPL-producing human choriocarcinoma cell line JEG-3 localized the hPL enhancer to a 138 bp core element. This 138 bp sequence was found to be tissue specific in its actions as it did not promote transcription in heterologous cell lines. Gel mobility shift assays showed the hPL enhancer interacts specifically with nuclear proteins unique to hPL-producing cells. Within the 138 bp enhancer a 22 bp region was shown to be protected from DNase I digestion due to binding of proteins derived from placental nuclear extracts. Proteins binding this region of the enhancer may be instrumental in the tissue specific activity of the hPL enhancer. ^

REPSA: A method for determining the sequence specificity of DNA binding ligands

We developed a novel combinatorial method termed restriction endonuclease protection selection and amplification (REPSA) to identify consensus binding sites of DNA-binding ligands. REPSA uses a unique enzymatic selection based on the inhibition of cleavage by a type IIS restriction endonuclease, an enzyme that cleaves DNA at a site distal from its recognition sequence. Sequences bound by a ligand are protected from cleavage while unprotected sequences are cleaved. This enzymatic selection occurs in solution under mild conditions and is dependant only on the DNA-binding ability of the ligand. Thus, REPSA is useful for a broad range of ligands including all classes of DNA-binding ligands, weakly binding ligands, mixed populations of ligands, and unknown ligands. Here I describe REPSA and the application of this method to select the consensus DNA-binding sequences of three representative DNA-binding ligands; a nucleic acid (triplex-forming single-stranded DNA), a protein (the TATA-binding protein), and a small molecule (Distamycin A). These studies generated new information regarding the specificity of these ligands in addition to establishing their DNA-binding sequences. ^

Psychiatric severity and behavior change in alcoholism

Individuals who are diagnosed with a chronic mental illness and an alcohol use disorder comprise a high risk population that challenges the mental health care system. Effective treatment for the dually diagnosed, who are characterized by heterogeneity in their psychiatric diagnoses, their substance use patterns, and their current degree of dysfunction, presents a challenge. Several integrated treatment models have been developed that attempt to concurrently treat patients' psychiatric and substance abuse problems. At this point in the development of these "dual diagnosis" programs, treatment planning is hindered by a lack of knowledge about the relation of psychiatric severity to the process of recovery from alcohol abuse and dependence.^ The present study sought to advance the field's understanding of the relation between psychiatric severity and the process of behavior change through an examination of the relation between dimensions of psychiatric severity and Prochaska and DiClemente's Transtheoretical Model (TTM) constructs. The TTM, which focuses on identifying the processes of change that appear to underlie the modification of addictive behaviors, provides a way of conceptualizing and measuring specific elements relevant to the desired behavior change. Knowledge of the relation between these constructs and psychiatric severity will enable treatment planners to develop dual diagnosis programs which target clients' needs with a much higher level of specificity.^ One hundred-thirty two alcohol dependent patients in a dual diagnosis treatment program were assessed on psychiatric severity (defined as number of symptoms and level of distress resulting from symptoms) and the Transtheoretical Model constructs. The constructs include stages and processes of change for alcohol use, alcohol decisional balance, and alcohol abstinence self-efficacy. Results indicate that the TTM variable of "temptation to drink" is most strongly related to psychiatric severity: the more psychiatric distress a person is experiencing, the more he or she is tempted to drink. The "cons" of drinking were also related to psychiatric severity, indicating that participants who were experiencing more psychiatric distress also endorsed as important a higher number of the negative aspects of drinking.^ Additional aims of this investigation were to determine whether participants' scores on the Transtheoretical Model variables were associated with their: (a) severity of drinking, defined as frequency, quantity and consequences of use, (b) previous psychiatric and substance abuse treatment episodes, and (c) functional impairment. Associations were found among these variables and each of the key constructs of the Transtheoretical Model. Each association is explored in detail and implications for treatment programming are discussed. ^