Search

Background: Over the past decade, transcriptome profiling has elucidated many pivotal pathways involved in oncogenesis. However, a detailed comprehensive map of tumorigenesis remains an enigma to solve. Propelled research has been devoted to investigating the molecular drivers of clear cell renal cell carcinoma (ccRCC). To add another piece to the puzzle, we evaluated the role of anoctamin 4 (ANO4) expression as a potential prognostic biomarker in non-metastasized ccRCC. Methods: A total of 422 ccRCC patients with the corresponding ANO4 expression and clinicopathological data were obtained from The Cancer Genome Atlas Program (TCGA). Differential expression across several clinicopathological variables was performed. The Kaplan–Meier method was used to assess the impact of ANO4 expression on the overall survival (OS), progression-free interval (PFI), disease-free interval (DFI), and disease-specific survival (DSS). Univariate and multivariate Cox logistic regression analyses were conducted to identify independent factors modulating the aforementioned outcomes. Gene set enrichment analysis (GSEA) was used to discern a set of molecular mechanisms involved in the prognostic signature. Tumor immune microenvironment was estimated using xCell. Results: ANO4 expression was upregulated in tumor samples compared to normal kidney tissue. Albeit the latter finding, low ANO4 expression is associated with advanced clinicopathological variables such as tumor grade, stage, and pT. In addition, low ANO4 expression is linked to shorter OS, PFI, and DSS. Multivariate Cox logistic regression analysis identified ANO4 expression as an independent prognostic variable in OS (HR: 1.686, 95% CI: 1.120–2.540, p = 0.012), PFI (HR: 1.727, 95% CI: 1.103–2.704, p = 0.017), and DSS (HR: 2.688, 95% CI: 1.465–4.934, p = 0.001). GSEA identified the following pathways to be enriched within the low ANO4 expression group: epithelial–mesenchymal transition, G2-M checkpoint, E2F targets, estrogen response, apical junction, glycolysis, hypoxia, coagulation, KRAS, complement, p53, myogenesis, and TNF-α signaling via NF-κB pathways. ANO4 expression correlates significantly with monocyte (ρ = −0.1429, p = 0.0033) and mast cell (ρ = 0.1598, p = 0.001) infiltration. Conclusions: In the presented work, low ANO4 expression is portrayed as a potential poor prognostic factor in non-metastasized ccRCC. Further experimental studies should be directed to shed new light on the exact molecular mechanisms involved. The article processing charges were funded jointly by Qatar National Library and Qatar University.

Wheldone (1) was isolated and elucidated from a coculture of Aspergillus fischeri (NRRL 181) and Xylaria flabelliformis (G536), where secondary metabolite biosynthesis was stimulated by antagonism between these fungi. First observed via in situ analysis between these competing fungal cultures, the conditions were scaled to reproducibly generate 1, whose novel structure was elucidated by one- and two-dimensional NMR and mass spectrometry. Compound 1 displayed cytotoxic activity against breast, ovarian, and melanoma cancer cell lines.

Cannabinoids have emerged in the last decades as promising therapeutic tools for the treatment of a wide range of neurological, metabolic or oncologic diseases, among others. These molecules mainly target the so-called CB1 and CB2 cannabinoid receptors, and/or the enzymes responsible for endocannabinoid biosynthesis and metabolism. However, other targets have been shown to modulate the actions of cannabinoids. These include ionotropic receptors, such as specific transient receptor potential channels; nuclear receptors, such as peroxisome proliferator-activated receptors or Class A orphan G protein-coupled receptors (GPCRs). In this chapter, we will provide an overview of cannabinoids actions regulated by their interaction with non-CB1, non-CB2 GPCRs such as the orphan receptors, GPR55, GPR18, or the GPR3–6–12 subset. Their activity at GPCRs from well-established families, including opioid, serotonin or adenosine receptors will also be analyzed. This body of research evidences the complex molecular pharmacology of cannabinoids and the need to fully unravel potential undesired off-target effects for the use of cannabinoid-based therapies.

GPR3, GPR6, and GPR12 are three orphan receptors that belong to the Class A family of G-protein-coupled receptors (GPCRs). These GPCRs share over 60% of sequence similarity among them. Because of their close phylogenetic relationship, GPR3, GPR6, and GPR12 share a high percentage of homology with other lipid receptors such as the lysophospholipid and the cannabinoid receptors. On the basis of sequence similarities at key structural motifs, these orphan receptors have been related to the cannabinoid family. However, further experimental data are required to confirm this association. GPR3, GPR6, and GPR12 are predominantly expressed in mammalian brain. Their high constitutive activation of adenylyl cyclase triggers increases in cAMP levels similar in amplitude to fully activated GPCRs. This feature defines their physiological role under certain pathological conditions. In this review, we aim to summarize the knowledge attained so far on the understanding of these receptors. Expression patterns, pharmacology, physiopathological relevance, and molecules targeting GPR3, GPR6, and GPR12 will be analyzed herein. Interestingly, certain cannabinoid ligands have been reported to modulate these orphan receptors. The current debate about sphingolipids as putative endogenous ligands will also be addressed. A special focus will be on their potential role in the brain, particularly under neurological conditions such as Parkinson or Alzheimer's disease. Reported physiological roles outside the central nervous system will also be covered. This critical overview may contribute to a further comprehension of the physiopathological role of these orphan GPCRs, hopefully attracting more research towards a future therapeutic exploitation of these promising targets.

© 2019 by the authors., The orphan G protein coupled receptor 6 (GPR6) is a cannabinoid-related Class A GPCR. It is highly expressed in the central nervous system and exhibits high constitutive activation of adenylyl cyclase. Several research groups have demonstrated that GPR6 represents a possible target for the treatment of neurodegenerative disorders such as Parkinson’s, Alzheimer’s, and Huntington’s diseases. Several patents claim the use of a wide range of pyrazine derivatives as GPR6 inverse agonists for the treatment of Parkinson’s disease and other dyskinesia syndromes. Using cyclic AMP accumulation assays in hGPR6-CHO cells as a readout, the most potent GPR6 pyridopyrazine inverse agonist compounds identified thus far have been found to display IC50 values in the low nanomolar range. A subset of these compounds was used here as starting points for the design of novel potent GPR6 inverse agonists using a core hopping approach. In parallel with the core hopping studies, we employed a recently constructed homology model of the GPR6 inactive state. The X-ray crystal structure of the Sphingosine-1-phosphate receptor 1 (S1P1) receptor structure was used as the template and the conformational memories technique was used to explore the conformational consequences of sequence differences between S1P1 and GPR6. The most potent GPR6 pyridopyrazine inverse agonists were docked in the resultant GPR6 inactive state model, first as tests of the model. Once we had identified the binding site of each inverse agonist, we used this site to identify amino acid sites in proximity that we can use to build additional interactions for ligands output from core hopping studies above. ADME properties and the absence of PAINS will also be considered for the hit selection process. These potential GPR6 chemotypes may serve as research tools for further understanding the biological role of this orphan receptor.

Qosay A Al-Balas,1 Mohammad A Hassan,1 Nizar A Al-Shar’i,1 Nizar M Mhaidat,2 Ammar M Almaaytah,3 Fatima M Al-Mahasneh,1 Israa H Isawi1 1Department of Medicinal Chemistry and Pharmacognosy, 2Department of Clinical Pharmacy, 3Department of Pharmaceutical Technology, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan Background: The glyoxalase system including two thiol-dependent enzymes, glyoxalase I (Glo-I) and glyoxalase II, plays an important role in a ubiquitous metabolic pathway involved in cellular detoxification of cytotoxic 2-oxoaldehydes. Tumor cells have high glycolytic activity, leading to increased cellular levels of these toxic metabolites. The increased activity of the detoxification system in cancerous cells makes this pathway a viable target for developing novel anticancer agents. In this study, we examined the potential utility of non-glutathione-based inhibitors of the Glo-I enzyme as novel anticancer drugs.Methods: Computer-aided drug design techniques, such as customized pharmacophoric features, virtual screening, and flexible docking, were used to achieve the project goals. Retrieved hits were extensively filtered and subsequently docked into the active site of the enzyme. The biological activities of retrieved hits were assessed using an in vitro assay against Glo-I.Results: Since Glo-I is a zinc metalloenzyme, a customized Zn-binding pharmacophoric feature was used to search for selective inhibitors via virtual screening of a small-molecule database. Seven hits were selected, purchased, and biologically evaluated. Three of the seven hits inhibited Glo-I activity, the most effective of which exerted 76.4% inhibition at a concentration of 25µM.Conclusion: We successfully identified a potential Glo-I inhibitor that can serve as a lead compound for further optimization. Moreover, our in silico and experimental results were highly correlated. Hence, the docking protocol adopted in this study may be efficiently employed in future optimization steps. Keywords: cancer, glyoxalase-I, zinc-binding feature, flexible docking, Discovery Studio 3.5, ketol

Background The glyoxalase system including two thiol-dependent enzymes, glyoxalase I (Glo-I) and glyoxalase II, plays an important role in a ubiquitous metabolic pathway involved in cellular detoxification of cytotoxic 2-oxoaldehydes. Tumor cells have high glycolytic activity, leading to increased cellular levels of these toxic metabolites. The increased activity of the detoxification system in cancerous cells makes this pathway a viable target for developing novel anticancer agents. In this study, we examined the potential utility of non-glutathione-based inhibitors of the Glo-I enzyme as novel anticancer drugs. Methods Computer-aided drug design techniques, such as customized pharmacophoric features, virtual screening, and flexible docking, were used to achieve the project goals. Retrieved hits were extensively filtered and subsequently docked into the active site of the enzyme. The biological activities of retrieved hits were assessed using an in vitro assay against Glo-I. Results Since Glo-I is a zinc metalloenzyme, a customized Zn-binding pharmacophoric feature was used to search for selective inhibitors via virtual screening of a small-molecule database. Seven hits were selected, purchased, and biologically evaluated. Three of the seven hits inhibited Glo-I activity, the most effective of which exerted 76.4% inhibition at a concentration of 25 µM. Conclusion We successfully identified a potential Glo-I inhibitor that can serve as a lead compound for further optimization. Moreover, our in silico and experimental results were highly correlated. Hence, the docking protocol adopted in this study may be efficiently employed in future optimization steps.