The potential of methioninase for cancer treatment.

Cancer cells are addicted to L-methionine (L-Met) and have a much greater requirement for L-Met than normal cells due to excess transmethylation, termed the Hoffman effect. By targeting this vulnerability through dietary restriction of L-Met, researchers have been able to achieve promising results in inhibiting tumor growth and eradicating cancer cells. Methioninase (EC 4.4.1.11; METase) catalyzes the transformation of L-Met into α-ketobutyrate, ammonia, and methanethiol. The use of METase was initially limited due to its poor stability in vivo, high immunogenicity, and enzyme-induced inactivating antibodies. These issues could be partially resolved by PEGylation, encapsulation in erythrocytes, and various site-directed mutagenesis. The big breakthrough came when it was discovered that METase is effectively administered orally. The enzyme L-asparaginase is approved by the FDA for treatment of acute lymphoblastic leukemia. METase has more potential as a therapeutic since addiction to L-Met is a general and fundamental hallmark of cancer.

Synthesis, antitumor activity and structure-activity studies of novel pyridoxine-based bioisosteric analogs of estradiol.

A new efficient approach to the synthesis of 6-alkenyl substituted pyridoxine derivatives has been developed. A series of 31 novel alkenyl pyridoxine derivatives, stilbene-based bioisosteric analogs of estradiol, were synthesized. In vitro cytotoxicity of the obtained compounds against MCF-7 (ER+) breast cancer tumor cells was studied using the MTT assay. The most active compounds with IC50,MCF-7 < 10 µM were also tested for cytotoxicity in vitro against MDA-MB-231 (ER-) breast adenocarcinoma cells and conditionally normal human skin fibroblasts (HSF). The patterns of structure-antitumor activity relationships of the obtained compounds were analyzed. The most active compounds were found to contain a six-membered ketal ring, a methyl group in position 5, a 3,4-dimethoxystyryl fragment in positions 2 or 6 of the pyridoxine ring, and a trans-configuration of the double bond. Using the most active compound 5a as a representative cytotoxic agent, we have demonstrated that it has high specificity and antiproliferative activity against MCF-7 (ER+) tumor cells (IC50 < 5 µM), and a higher therapeutic index compared to the reference compound raloxifene (48 versus 5.8). Compound 5a decreased the mitochondrial membrane potential and increased the level of reactive oxygen species in MCF-7 cells, but not MDA-MB-231 cells. Compound 5a did not affect the distribution of cell cycle phases and induced apoptosis in MCF-7 cells, but not MDA-MB-231. Unlike compound 5a, raloxifene decreased mitochondrial potential, increased the ROS level, and induced apoptosis in both MCF-7 and MDA-MB-231 cells, which indicated a lack of selectivity for cells with estrogen receptor expression. It was also shown that compound 5a reduced the level of ERα expression in cells to a lesser extent than raloxifene and, unlike the latter, did not activate the PI3K/Akt signaling pathway.

Synthesis and in vitro antitumor activity of novel alkenyl derivatives of pyridoxine, bioisosteric analogs of feruloyl methane.

Two series of novel pyridoxine-based azaheterocyclic analogs of feruloyl methane (Dehydrozingerone, DZG) were synthesized, and their biological activity against a panel of tumor and normal cell lines was evaluated in vitro. The most active compounds possessed expressed cytotoxic activity, which was comparable to cytotoxic activity of doxorubicin and significantly higher than that of DZG, and a remarkable selectivity for the studied cancer cell lines as compared to the normal cells. The leading compound and DZG initiated arrest of the cell cycle in the G2/M phase, preventing normal division and further transition of daughter cells to the G0/G1 phase. Similar to DZG, but with higher efficiency, the leading compound was able to inhibit migration activity and, therefore, invasiveness of tumor cells. It also increased concentration of reactive oxygen species in tumor cells, induced depolarization of mitochondrial membranes and initiated apoptosis accompanied by disruption of integrity of cytoplasmic cell membranes. By contrast to DZG, the leading compound did not possess antioxidant properties. The obtained data make the described chemotype a promising starting point for the development of new anticancer agents.

In-vitro antitumor activity of new quaternary phosphonium salts, derivatives of 3-hydroxypyridine.

This work presents the results of in-vitro biological activity studies of three novel anticancer agents, phosphonium salts based on the 3-hydroxypyridine scaffold, including one derivative of 4-deoxypyridoxine. Proliferation and viability of cells treated with these compounds was assessed by the colony formation and 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assays. Effects of the compounds on apoptosis and cell cycle were studied by flow cytometry using annexin V-FITC/propidium iodide and propidium iodide staining, respectively. The influence of the compounds on mitochondrial membrane potential and intracellular reactive oxygen species was evaluated using tetramethyl rhodamine ethyl and DCFHA staining. Western blot analysis was used to study the changes in the expression of Bcl-xL, Bax, and caspase-3 apoptotic proteins. The treatment of ovarian adenocarcinoma cells OVCAR-4 with the tested compounds inhibited the growth and induced cell cycle arrest in the G1 phase. 3-Hydroxypyridine derivatives induced apoptosis by hyperexpression of Bax and caspase-3, whereas 4-deoxypyridoxine derivative induced cell death partly by reactive oxygen species generation and caspase-3 hyperexpression. These results indicate that the quaternary phosphonium salts studied represent potential therapeutic agents for the treatment of ovarian cancer.

Nonlinear dimensionality reduction for visualizing toxicity data: distance-based versus topology-based approaches.

Over the years, a number of dimensionality reduction techniques have been proposed and used in chemoinformatics to perform nonlinear mappings. In this study, four representatives of nonlinear dimensionality reduction methods related to two different families were analyzed: distance-based approaches (Isomap and Diffusion Maps) and topology-based approaches (Generative Topographic Mapping (GTM) and Laplacian Eigenmaps). The considered methods were applied for the visualization of three toxicity datasets by using four sets of descriptors. Two methods, GTM and Diffusion Maps, were identified as the best approaches, which thus made it impossible to prioritize a single family of the considered dimensionality reduction methods. The intrinsic dimensionality assessment of data was performed by using the Maximum Likelihood Estimation. It was observed that descriptor sets with a higher intrinsic dimensionality contributed maps of lower quality. A new statistical coefficient, which combines two previously known ones, was proposed to automatically rank the maps. Instead of relying on one of the best methods, we propose to automatically generate maps with different parameter values for different descriptor sets. By following this procedure, the maps with the highest values of the introduced statistical coefficient can be automatically selected and used as a starting point for visual inspection by the user.

CXCR4 receptor as a promising target for oncolytic drugs.

There has been considerable in vivo evidence that chemokine receptor CXCR4 and its endogenous ligand CXCL12 modulate some important physiological and pathophysiological processes, including cancer metastasis, angiogenesis, invasion, growth and progression. In this review we elucidate key aspects of CXCL12-CXCR4 signaling system with emphasis on peptide-based and small-molecule CXCR4 inhibitors.

Regulators of chemokine receptor activity as promising anticancer therapeutics.

Chemokines are a family of small proteins inducing directed cell migration via specific chemokine receptors, which play important roles in a variety of biological and pathological processes. Their respective ligands act as proinflammatory mediators that primarily control leukocyte migration into selected tissues and upregulation of adhesion receptors, and also have a role in pathological conditions that require neovascularization. Therapeutic strategies based on modulation of chemokine receptor pathways were reported to be promising clinical strategies in the treatment of inflammatory diseases and viral infections. Recent studies have been also demonstrated that chemokines and chemokine receptors are produced by many different cell types, including tumor cells. Overexpression of many chemokine and chemokine receptors in tumor cells suggests that they are crucial regulators of the levels of tumor infiltrating leukocytes implicated in the tumorigenesis of multiple human cancers. In the tumor microenvironment they control a variety of biological activities, such as production and deposition of collagen, activation of matrix-digesting enzymes, stimulation of cell growth, inhibition of apoptosis and promotion of neo-angiogenesis and metastasis. In this review we elucidate key aspects of chemokine signaling as well as clinically relevant strategies to modulation of chemokine receptor activity in the treatment of cancer with emphasis on small-molecule agents. We also elucidate various research strategies which were found to be useful in the design of chemokine receptor targeted therapeutics.

Shape signatures: new descriptors for predicting cardiotoxicity in silico.

Shape Signatures is a new computational tool that is being evaluated for applications in computational toxicology and drug discovery. The method employs a customized ray-tracing algorithm to explore the volume enclosed by the surface of a molecule and then uses the output to construct compact histograms (i.e., signatures) that encode for molecular shape and polarity. In the present study, we extend the application of the Shape Signatures methodology to the domain of computational models for cardiotoxicity. The Shape Signatures method is used to generate molecular descriptors that are then utilized with widely used classification techniques such as k nearest neighbors ( k-NN), support vector machines (SVM), and Kohonen self-organizing maps (SOM). The performances of these approaches were assessed by applying them to a data set of compounds with varying affinity toward the 5-HT(2B) receptor as well as a set of human ether-a-go-go-related gene (hERG) potassium channel inhibitors. Our classification models for 5-HT(2B) represented the first attempt at global computational models for this receptor and exhibited average accuracies in the range of 73-83%. This level of performance is comparable to using commercially available molecular descriptors. The overall accuracy of the hERG Shape Signatures-SVM models was 69-73%, in line with other computational models published to date. Our data indicate that Shape Signatures descriptors can be used with SVM and Kohonen SOM and perform better in classification problems related to the analysis of highly clustered and heterogeneous property spaces. Such models may have utility for predicting the potential for cardiotoxicity in drug discovery mediated by the 5-HT(2B) receptor and hERG.

Caspase activity modulators as anticancer agents.

Proteolytic caspase enzymes play a central role in cell apoptosis, or programmed cell death, often as integrating elements of different stimuli leading to the cell death. Since blockade of apoptotic pathways are fundamental for cell survival and proliferation, particularly in cancer cells, the activation of caspases is an attractive target for anticancer therapy. This review describes some of the druggable therapeutic targets thus far identified within the core apoptotic machinery, the corresponding drugs that have been developed, their effects on caspase-dependent apoptotic pathways and their potential impact on the therapy of cancer. With several successful anticancer drugs on the market and numerous compounds in preclinical and clinical developments, modulators of caspase-dependent apoptotic pathways belong to the most important category of anticancer agents.

Histone deacetylase inhibitors in cancer therapy: latest developments, trends and medicinal chemistry perspective.

Regulation of gene expression is mediated by several mechanisms such as DNA methylation, ATP-dependent chromatin remodeling, and post-translational modifications of histones. The latter mechanism includes dynamic acetylation and deacetylation of epsilon-amino groups of lysine residues present in the tail of the core histones. Enzymes responsible for the reversible acetylation/deacetylation processes are histone acetyltransferases (HATs) and histone deacetylases (HDACs), respectively. There are three mammalian HDAC families, namely HDACs I, II and III based on their sequence homology. Inhibitors of HDACs induce hyperacetylation of histones that modulate chromatin structure and gene expression resulting in growth arrest, cell differentiation, and apoptosis of tumor cells. In addition, HDAC inhibitors enhance efficacy of anticancer agents that target DNA. Several formidable challenges associated with their development include non-specific toxicity and poor PK properties, including cell permeability. In this review, we comment on the current progress in design, discovery, in vitro/ex vivo activity and clinical potential of the synthetic modulators of HDACs.

Small-molecule modulators of Hh and Wnt signaling pathways.

Hedgehog (Hh) and Wnt signaling pathways play key roles in growth and patterning during embryonic development and in the postembryonic regulation of stem cell number in the epithelia. Numerous studies link aberrant modulation of these pathways to specific human diseases. This article focuses on general aspects of Hh and Wnt signal transduction and biologic molecules involved in the respective signaling cascades. Specifically, the authors summarize small-molecule modulators of both pathways that show promise as therapeutic modalities.

Recent progress in discovery and development of antimitotic agents.

This review highlights structural diversity of antimitotic agents. In particular, we emphasized current antimitotic therapies based on modulation of microtubule dynamics. With several successful anticancer drugs on the market and numerous compounds in clinical developments, tubulin-binding agents remain among the most important categories of anticancer agents. Compounds targeting mitotic kinases and kinesins are also discussed.

VEGF/VEGFR signalling as a target for inhibiting angiogenesis.

VEGFs and a respective family of tyrosine kinases receptors (VEGFRs) are key proteins modulating angiogenesis, the formation of new vasculature from an existing vascular network. There has been considerable evidence in vivo, including clinical observations, that abnormal angiogenesis is implicated in a number of disease conditions, which include rheumatoid arthritis, inflammation, cancer, psoriasis, degenerative eye conditions and others. Antiangiogenic therapies based on inhibition of VEGF/VEGFR signalling were reported to be powerful clinical strategies in oncology and ophthalmology. Current efforts have yielded promising clinical data for several antiangiogenic therapeutics. In this review, the authors elucidate key aspects of VEGFR signalling, as well as clinically relevant strategies for the inhibition of VEGF-induced angiogenesis, with an emphasis on small-molecule VEGFR inhibitors.

Novel mitotic targets and their small-molecule inhibitors.

With several successful anticancer drugs on the market and numerous compounds in clinical developments, antimitotic agents represent an important category of anticancer agents. However, clinical utility of the tubulin-binding agents is somewhat limited due to multiple drug resistance (MDR), poor pharmacokinetics and therapeutic index. There is ongoing need for the modulators of other intracellular targets that result in the same anti-mitotic effect without adverse effects of "traditional" tubulin binders. This review describes progress made to-date in development of novel and emerging biotargets affecting the mitotic events, and their small-molecule modulators.

Insights for human ether-a-go-go-related gene potassium channel inhibition using recursive partitioning and Kohonen and Sammon mapping techniques.

The human ether-a-go-go related gene (hERG) can be inhibited by marketed drugs, and this inhibition may lead to QT prolongation and possibly fatal cardiac arrhythmia. We have collated literature data for 99 diverse hERG inhibitors to generate Kohonen maps, Sammon maps, and recursive partitioning models. Our aim was to investigate whether these computational models could be used either individually or together in a consensus approach to predict the binding of a prospectively selected test set of 35 diverse molecules and at the same time to offer further insights into hERG inhibition. The recursive partitioning model provided a quantitative prediction, which was markedly improved when Tanimoto similarity was included as a filter to remove molecules from the test set that were too dissimilar to the training set (r2 = 0.83, Spearman rho = 0.75, p = 0.0003 for the 18 remaining molecules, >0.77 similarity). This model was also used to screen and prioritize a database of drugs, recovering several hERG inhibitors not used in model building. The mapping approaches used molecular descriptors required for hERG inhibition that were not reported previously and in particular highlighted the importance of molecular shape. The Sammon map model provided the best qualitative classification of the test set (95% correct) compared with the Kohonen map model (81% correct), and this result was also superior to the consensus approach. This study illustrates that patch clamping data from various literature sources can be combined to generate valid models of hERG inhibition for prospective predictions.

Recent progress in development of non-ATP competitive small-molecule inhibitors of protein kinases.

The majority of marketed and late stage development kinase inhibitors are reported to be ATP-competitive. As a result, many promising drug candidates display non-specific activity that results in undesired physiological effects. There is growing interest towards non-ATP competitive kinase inhibitors, as they are expected to yield highly specific and efficacious molecules devoid of non-mechanistic toxicity. Recent developments in this area are summarized in our review.

Efficient optimization strategy for marginal hits active against abl tyrosine kinases.

Primary high-throughput screening of commercially available small molecules collections often results in hit compounds with unfavorable ADME/Tox properties and low IP potential. These issues are addressed empirically at follow-up lead development and optimization stages. In this work, we describe a rational approach to the optimization of hit compounds discovered during screening of a kinase focused library against abl tyrosine kinase. The optimization strategy involved application of modern chemoinformatics techniques, such as automatic bioisosteric transformation of the initial hits, efficient solution-phase combinatorial synthesis, and advanced methods of knowledge-based libraries design.