Loss of the tumour suppressor LKB1/STK11 uncovers a leptin-mediated sensitivity mechanism to mitochondrial uncouplers for targeted cancer therapy.

Non-small cell lung cancer (NSCLC) constitutes one of the deadliest and most common malignancies. The LKB1/STK11 tumour suppressor is mutated in ∼ 30% of NSCLCs, typically lung adenocarcinomas (LUAD). We implemented zebrafish and human lung organoids as synergistic platforms to pre-clinically screen for metabolic compounds selectively targeting LKB1-deficient tumours. Interestingly, two kinase inhibitors, Piceatannol and Tyrphostin 23, appeared to exert synthetic lethality with LKB1 mutations. Although LKB1 loss alone accelerates energy expenditure, unexpectedly we find that it additionally alters regulation of the key energy homeostasis maintenance player leptin (LEP), further increasing the energetic burden and exposing a vulnerable point; acquired sensitivity to the identified compounds. We show that compound treatment stabilises Hypoxia-inducible factor 1-alpha (HIF1A) by antagonising Von Hippel-Lindau (VHL)-mediated HIF1A ubiquitination, driving LEP hyperactivation. Importantly, we demonstrate that sensitivity to piceatannol/tyrphostin 23 epistatically relies on a HIF1A-LEP-Uncoupling Protein 2 (UCP2) signaling axis lowering cellular energy beyond survival, in already challenged LKB1-deficient cells. Thus, we uncover a pivotal metabolic vulnerability of LKB1-deficient tumours, which may be therapeutically exploited using our identified compounds as mitochondrial uncouplers.

Epigallocatechin gallate is a potent inhibitor of cystathionine beta-synthase: Structure-activity relationship and mechanism of action.

Epigallocatechin gallate (EGCG) is the main bioactive component of green tea. Through screening of a small library of natural compounds, we discovered that EGCG inhibits cystathionine ß-synthase (CBS), a major H2S-generating enzyme. Here we characterize EGCG's mechanism of action in the context of CBS-derived H2S production. In the current project, biochemical, pharmacological and cell biology approaches were used to characterize the effect of EGCG on CBS in cellular models of cancer and Down syndrome (DS). The results show that EGCG binds to CBS and inhibits H2S-producing CBS activity almost 30-times more efficiently than the canonical cystathionine formation (IC50 0.12 versus 3.3 µM). Through screening structural analogs and building blocks, we identified that gallate moiety of EGCG represents the pharmacophore responsible for CBS inhibition. EGCG is a mixed-mode, CBS-specific inhibitor with no effect on the other two major enzymatic sources of H2S, CSE and 3-MST. Unlike the prototypical CBS inhibitor aminooxyacetate, EGCG does not bind the catalytic cofactor of CBS pyridoxal-5'-phosphate. Molecular modeling suggests that EGCG blocks a substrate access channel to pyridoxal-5'-phosphate. EGCG inhibits cellular H2S production in HCT-116 colon cancer cells and in DS fibroblasts. It also exerts effects that are consistent with the functional role of CBS in these cells: in HCT-116 cells it decreases, while in DS cells it improves viability and proliferation. In conclusion, EGCG is a potent inhibitor of CBS-derived H2S production. This effect may contribute to its pharmacological effects in various pathophysiological conditions.

Cockayne Syndrome Group B (CSB): The Regulatory Framework Governing the Multifunctional Protein and Its Plausible Role in Cancer.

Cockayne syndrome (CS) is a DNA repair syndrome characterized by a broad spectrum of clinical manifestations such as neurodegeneration, premature aging, developmental impairment, photosensitivity and other symptoms. Mutations in Cockayne syndrome protein B (CSB) are present in the vast majority of CS patients and in other DNA repair-related pathologies. In the literature, the role of CSB in different DNA repair pathways has been highlighted, however, new CSB functions have been identified in DNA transcription, mitochondrial biology, telomere maintenance and p53 regulation. Herein, we present an overview of identified structural elements and processes that impact on CSB activity and its post-translational modifications, known to balance the different roles of the protein not only during normal conditions but most importantly in stress situations. Moreover, since CSB has been found to be overexpressed in a number of different tumors, its role in cancer is presented and possible therapeutic targeting is discussed.

Novel Aryl-Substituted Pyrimidones as Inhibitors of 3-Mercaptopyruvate Sulfurtransferase with Antiproliferative Efficacy in Colon Cancer.

The enzyme 3-mercaptopyruvate sulfurtransferase (3-MST) is one of the more recently identified mammalian sources of H2S. A recent study identified several novel 3-MST inhibitors with micromolar potency. Among those, (2-[(4-hydroxy-6-methylpyrimidin-2-yl)sulfanyl]-1-(naphthalen-1-yl)ethan-1-one) or HMPSNE was found to be the most potent and selective. We now took the central core of this compound and modified the pyrimidone and the arylketone sides independently. A 63-compound library was synthesized; compounds were tested for H2S generation from recombinant 3-MST in vitro. Active compounds were subsequently tested to elucidate their potency and selectivity. Computer modeling studies have delineated some of the key structural features necessary for binding to the 3-MST's active site. Six novel 3-MST inhibitors were tested in cell-based assays: they exerted inhibitory effects in murine MC38 and CT26 colon cancer cell proliferation; the antiproliferative effect of the compound with the highest potency and best cell-based activity (1b) was also confirmed on the growth of MC38 tumors in mice.

Screening of Heteroaromatic Scaffolds against Cystathionine Beta-Synthase Enables Identification of Substituted Pyrazolo[3,4-c]Pyridines as Potent and Selective Orthosteric Inhibitors.

Cystathionine ß-synthase (CBS) is a key enzyme in the production of the signaling molecule hydrogen sulfide, deregulation of which is known to contribute to a range of serious pathological states. Involvement of hydrogen sulfide in pathways of paramount importance for cellular homeostasis renders CBS a promising drug target. An in-house focused library of heteroaromatic compounds was screened for CBS modulators by the methylene blue assay and a pyrazolopyridine derivative with a promising CBS inhibitory potential was discovered. The compound activity was readily comparable to the most potent CBS inhibitor currently known, aminoacetic acid, while a promising specificity over the related cystathionine γ-lyase was identified. To rule out any possibility that the inhibitor may bind the enzyme regulatory domain due to its high structural similarity with cofactor s-adenosylmethionine, differential scanning fluorimetry was employed. A sub-scaffold search guided follow-up screening of related compounds, providing preliminary structure-activity relationships with respect to requisites for efficient CBS inhibition by this group of heterocycles. Subsequently, a hypothesis regarding the exact binding mode of the inhibitor was devised on the basis of the available structure-activity relationships (SAR) and a deep neural networks analysis and further supported by induced-fit docking calculations.

Lipophilic Guanylhydrazone Analogues as Promising Trypanocidal Agents: An Extended SAR Study.

In this report, we extend the SAR analysis of a number of lipophilic guanylhydrazone analogues with respect to in vitro growth inhibition of Trypanosoma brucei and Trypanosoma cruzi. Sleeping sickness and Chagas disease, caused by the tropical parasites T. brucei and T. cruzi, constitute a significant socioeconomic burden in low-income countries of sub-Saharan Africa and Latin America, respectively. Drug development is underfunded. Moreover, current treatments are outdated and difficult to administer, while drug resistance is an emerging concern. The synthesis of adamantane-based compounds that have potential as antitrypanosomal agents is extensively reviewed. The critical role of the adamantane ring was further investigated by synthesizing and testing a number of novel lipophilic guanylhydrazones. The introduction of hydrophobic bulky substituents onto the adamantane ring generated the most active analogues, illustrating the synergistic effect of the lipophilic character of the C1 side chain and guanylhydrazone moiety on trypanocidal activity. The n-decyl C1-substituted compound G8 proved to be the most potent adamantane derivative against T. brucei with activity in the nanomolar range (EC50=90 nM). Molecular simulations were also performed to better understand the structure-activity relationships between the studied guanylhydrazone analogues and their potential enzyme target.

The Role of E3, E4 Ubiquitin Ligase (UBE4B) in Human Pathologies.

The genome is exposed daily to many deleterious factors. Ubiquitination is a mechanism that regulates several crucial cellular functions, allowing cells to react upon various stimuli in order to preserve their homeostasis. Ubiquitin ligases act as specific regulators and actively participate among others in the DNA damage response (DDR) network. UBE4B is a newly identified member of E3 ubiquitin ligases that appears to be overexpressed in several human neoplasms. The aim of this review is to provide insights into the role of UBE4B ubiquitin ligase in DDR and its association with p53 expression, shedding light particularly on the molecular mechanisms of carcinogenesis.

Machine learning and data mining frameworks for predicting drug response in cancer: An overview and a novel in silico screening process based on association rule mining.

A major challenge in cancer treatment is predicting the clinical response to anti-cancer drugs on a personalized basis. The success of such a task largely depends on the ability to develop computational resources that integrate big "omic" data into effective drug-response models. Machine learning is both an expanding and an evolving computational field that holds promise to cover such needs. Here we provide a focused overview of: 1) the various supervised and unsupervised algorithms used specifically in drug response prediction applications, 2) the strategies employed to develop these algorithms into applicable models, 3) data resources that are fed into these frameworks and 4) pitfalls and challenges to maximize model performance. In this context we also describe a novel in silico screening process, based on Association Rule Mining, for identifying genes as candidate drivers of drug response and compare it with relevant data mining frameworks, for which we generated a web application freely available at: https://compbio.nyumc.org/drugs/. This pipeline explores with high efficiency large sample-spaces, while is able to detect low frequency events and evaluate statistical significance even in the multidimensional space, presenting the results in the form of easily interpretable rules. We conclude with future prospects and challenges of applying machine learning based drug response prediction in precision medicine.

Design, synthesis and biological evaluation of novel substituted purine isosters as EGFR kinase inhibitors, with promising pharmacokinetic profile and in vivo efficacy.

Novel substituted purine isosters, were designed and synthesized as potential inhibitors of the Epidermal Growth Factor Receptor (EGFR). The compounds were rationally designed through bioisosteric replacement of the central quinazoline core of lapatinib, an approved drug that inhibits both EGFR and HER2, another important member of this family of receptors. The new target molecules were evaluated as inhibitors of receptor phosphorylation at the cellular level, for their direct inhibitory action on the intracellular receptor kinase domain and for their cytotoxicity against the non-small cell lung cancer cell line A549 and breast cancer HCC1954, cell lines which are associated with overexpression of EGFR and HER2, respectively. The most potent derivatives were further studied for their cellular uptake levels and in vivo pharmacokinetic properties. One compound (23) displayed a noteworthy pharmacokinetic profile, and higher intracellular accumulation in comparison to lapatinib in the A549 cells, possibly due to its higher lipophilicity. This lead compound (23) was assessed for its efficacy in an EGFR positive xenograft model, where it successfully inhibited tumor growth, with a similar efficacy with that of lapatinib and with minimal phenotypic toxicity.

Immunohisto(cyto)chemistry: an old time classic tool driving modern oncological therapies.

In the era of precision medicine immunohistochemistry (IHC) and immunocytochemistry (ICC) share some of the highlights in personalized treatment. Survival data obtained from clinical trials shape the cut-offs and IHC scoring that serve as recommendations for patient selection both for targeted and conventional therapies. Assessment of Estrogen and Progesterone Receptors along with HER2 status has been among the first approved immunostaining assays revolutionizing breast cancer treatment. Similarly, ALK positivity predicts the efficacy of ALK inhibitors in patients with non-small cell lung cancer (NSCLC). In recent years, Programmed Death Ligand 1 (PD-L1) IHC assays have been approved as companion or complimentary diagnostic tools predicting the response to checkpoint inhibitors. Anti-PD-L1 and anti-PD-1 monoclonal antibodies have inaugurated a new period in the treatment of advanced cancers, but the path to approval of these biomarkers is filled with immunohistochemical challenges. The latter brings to the fore the significance of molecular pathology as a hub between basic and clinical research. Besides, novel markers are translated into routine practice, suggesting that we are at the beginning of a new exciting period. Unraveling the molecular mechanisms involved in cellular homeostasis unfolds biomarkers with greater specificity and sensitivity. The introduction of GL13 (SenTraGor®) for the detection of senescent cells in archival material, the implementation of key players of stress response pathways and the development of compounds detecting common mutant P53 isoforms in dictating oncological treatments are paradigms for precision oncology.

Senescence and senotherapeutics: a new field in cancer therapy.

Cellular senescence is a stress response mechanism ensuring homeostasis. Its temporal activation during embryonic development or normal adult life is linked with beneficial properties. In contrast, persistent (chronic) senescence seems to exert detrimental effects fostering aging and age-related disorders, such as cancer. Due to the lack of a reliable marker able to detect senescence in vivo, its precise impact in age-related diseases is to a large extent still undetermined. A novel reagent termed GL13 (SenTraGorTM) that we developed, allowing senescence recognition in any type of biological material, emerges as a powerful tool to study the phenomenon of senescence in vivo. Exploiting the advantages of this novel methodological approach, scientists will be able to detect and connect senescence with aggressive behavior in human malignancies, such as tolerance to chemotherapy in classical Hodgkin Lymphoma and Langerhans Cell Histiocytosis. The latter depicts the importance of developing the new and rapidly expanding field of senotherapeutic agents targeting and driving to cell death senescent cells. We discuss in detail the current progress of this exciting area of senotherapeutics and suggest its future perspectives and applications.

A facile consensus ranking approach enhances virtual screening robustness and identifies a cell-active DYRK1α inhibitor.

BACKGROUND: Virtual screening is vital for contemporary drug discovery but striking performance fluctuations are commonly encountered, thus hampering error-free use. Results and Methodology: A conceptual framework is suggested for combining screening algorithms characterized by orthogonality (docking-scoring calculations, 3D shape similarity, 2D fingerprint similarity) into a simple, efficient and expansible python-based consensus ranking scheme. An original experimental dataset is created for comparing individual screening methods versus the novel approach. Its utilization leads to identification and phosphoproteomic evaluation of a cell-active DYRK1α inhibitor. CONCLUSION: Consensus ranking considerably stabilizes screening performance at reasonable computational cost, whereas individual screens are heavily dependent on calculation settings. Results indicate that the novel approach, currently available as a free online tool, is highly suitable for prospective screening by nonexperts.

In Silico Screening of Compound Libraries Using a Consensus of Orthogonal Methodologies.

A number of diverse approaches for efficient screening of compound collections in silico are nowadays available, each with their own methodological background, successes and limitations. Implementation of such virtual screening methods has enabled an impressive acceleration in the search toward the most biologically relevant regions of chemical space and has greatly facilitated the discovery of novel biologically active molecules. It is noteworthy that the range of principles on which the available virtual screening methodologies are based is wide enough for several of these methods to be considered as orthogonal to a good extent. We hereby propose a simple and extensible protocol aiming at integrating the diverse information derived by such virtual screening methods in a consensus manner that can achieve an improvement of the hit rate obtained by individual use of those methods. The protocol can be performed in its basic version as described in this work, but it can also be extended manually by integrating a number of different screening tools and their case-specific variations to further increase the performance of virtual screening in prioritizing the most promising compounds for in vitro evaluations.

Selective cytotoxicity of the herbal substance acteoside against tumor cells and its mechanistic insights.

Natural products are characterized by extreme structural diversity and thus they offer a unique source for the identification of novel anti-tumor agents. Herein, we report that the herbal substance acteoside being isolated by advanced phytochemical methods from Lippia citriodora leaves showed enhanced cytotoxicity against metastatic tumor cells; acted in synergy with various cytotoxic agents and it sensitized chemoresistant cancer cells. Acteoside was not toxic in physiological cellular contexts, while it increased oxidative load, affected the activity of proteostatic modules and suppressed matrix metalloproteinases in tumor cell lines. Intraperitoneal or oral (via drinking water) administration of acteoside in a melanoma mouse model upregulated antioxidant responses in the tumors; yet, only intraperitoneal delivery suppressed tumor growth and induced anti-tumor-reactive immune responses. Mass-spectrometry identification/quantitation analyses revealed that intraperitoneal delivery of acteoside resulted in significantly higher, vs. oral administration, concentration of the compound in the plasma and tumors of treated mice, suggesting that its in vivo anti-tumor effect depends on the route of administration and the achieved concentration in the tumor. Finally, molecular modeling studies and enzymatic activity assays showed that acteoside inhibits protein kinase C. Conclusively, acteoside holds promise as a chemical scaffold for the development of novel anti-tumor agents.

Combined Virtual and Experimental Screening for CK1 Inhibitors Identifies a Modulator of p53 and Reveals Important Aspects of in Silico Screening Performance.

A compound collection of pronounced structural diversity was comprehensively screened for inhibitors of the DNA damage-related kinase CK1. The collection was evaluated in vitro. A potent and selective CK1 inhibitor was discovered and its capacity to modulate the endogenous levels of the CK1-regulated tumor suppressor p53 was demonstrated in cancer cell lines. Administration of 10 µM of the compound resulted in significant increase of p53 levels, reaching almost 2-fold in hepatocellular carcinoma cells. In parallel to experimental screening, two representative and orthogonal in silico screening methodologies were implemented for enabling the retrospective assessment of virtual screening performance on a case-specific basis. Results showed that both techniques performed at an acceptable and fairly comparable level, with a slight advantage of the structure-based over the ligand-based approach. However, both approaches demonstrated notable sensitivity upon parameters such as screening template choice and treatment of redundancy in the enumerated compound collection. An effort to combine insight derived by sequential implementation of the two methods afforded poor further improvement of screening performance. Overall, the presented assessment highlights the relation between improper use of enrichment metrics and misleading results, and demonstrates the inherent delicacy of in silico methods, emphasizing the challenging character of virtual screening protocol optimization.

Discovery and Optimization of a Selective Ligand for the Switch/Sucrose Nonfermenting-Related Bromodomains of Polybromo Protein-1 by the Use of Virtual Screening and Hydration Analysis.

Bromodomains (BRDs) are epigenetic interaction domains currently recognized as emerging drug targets for development of anticancer or anti-inflammatory agents. In this study, development of a selective ligand of the fifth BRD of polybromo protein-1 (PB1(5)) related to switch/sucrose nonfermenting (SWI/SNF) chromatin remodeling complexes is presented. A compound collection was evaluated by consensus virtual screening and a hit was identified. The biophysical study of protein-ligand interactions was performed using X-ray crystallography and isothermal titration calorimetry. Collective data supported the hypothesis that affinity improvement could be achieved by enhancing interactions of the complex with the solvent. The derived SAR along with free energy calculations and a consensus hydration analysis using WaterMap and SZmap algorithms guided rational design of a set of novel analogues. The most potent analogue demonstrated high affinity of 3.3 µM and an excellent selectivity profile, thus comprising a promising lead for the development of chemical probes targeting PB1(5).

Screening of a composite library of clinically used drugs and well-characterized pharmacological compounds for cystathionine ß-synthase inhibition identifies benserazide as a drug potentially suitable for repurposing for the experimental therapy of colon cancer.

Cystathionine-ß-synthase (CBS) has been recently identified as a drug target for several forms of cancer. Currently no potent and selective CBS inhibitors are available. Using a composite collection of 8871 clinically used drugs and well-annotated pharmacological compounds (including the LOPAC library, the FDA Approved Drug Library, the NIH Clinical Collection, the New Prestwick Chemical Library, the US Drug Collection, the International Drug Collection, the 'Killer Plates' collection and a small custom collection of PLP-dependent enzyme inhibitors), we conducted an in vitro screen in order to identify inhibitors for CBS using a primary 7-azido-4-methylcoumarin (AzMc) screen to detect CBS-derived hydrogen sulfide (H2S) production. Initial hits were subjected to counterscreens using the methylene blue assay (a secondary assay to measure H2S production) and were assessed for their ability to quench the H2S signal produced by the H2S donor compound GYY4137. Four compounds, hexachlorophene, tannic acid, aurintricarboxylic acid and benserazide showed concentration-dependent CBS inhibitory actions without scavenging H2S released from GYY4137, identifying them as direct CBS inhibitors. Hexachlorophene (IC50: ∼60µM), tannic acid (IC50: ∼40µM) and benserazide (IC50: ∼30µM) were less potent CBS inhibitors than the two reference compounds AOAA (IC50: ∼3µM) and NSC67078 (IC50: ∼1µM), while aurintricarboxylic acid (IC50: ∼3µM) was equipotent with AOAA. The second reference compound NSC67078 not only inhibited the CBS-induced AzMC fluorescence signal (IC50: ∼1µM), but also inhibited with the GYY4137-induced AzMC fluorescence signal with (IC50 of ∼6µM) indicative of scavenging/non-specific effects. Hexachlorophene (IC50: ∼6µM), tannic acid (IC50: ∼20µM), benserazide (IC50: ∼20µM), and NSC67078 (IC50: ∼0.3µM) inhibited HCT116 colon cancer cells proliferation with greater potency than AOAA (IC50: ∼300µM). In contrast, although a CBS inhibitor in the cell-free assay, aurintricarboxylic acid failed to inhibit HCT116 proliferation at lower concentrations, and stimulated cell proliferation at 300µM. Copper-containing compounds present in the libraries, were also found to be potent inhibitors of recombinant CBS; however this activity was due to the CBS inhibitory effect of copper ions themselves. However, copper ions, up to 300µM, did not inhibit HCT116 cell proliferation. Benserazide was only a weak inhibitor of the activity of the other H2S-generating enzymes CSE and 3-MST activity (16% and 35% inhibition at 100µM, respectively) in vitro. Benserazide suppressed HCT116 mitochondrial function and inhibited proliferation of the high CBS-expressing colon cancer cell line HT29, but not the low CBS-expressing line, LoVo. The major benserazide metabolite 2,3,4-trihydroxybenzylhydrazine also inhibited CBS activity and suppressed HCT116 cell proliferation in vitro. In an in vivo study of nude mice bearing human colon cancer cell xenografts, benserazide (50mg/kg/days.q.) prevented tumor growth. In silico docking simulations showed that benserazide binds in the active site of the enzyme and reacts with the PLP cofactor by forming reversible but kinetically stable Schiff base-like adducts with the formyl moiety of pyridoxal. We conclude that benserazide inhibits CBS activity and suppresses colon cancer cell proliferation and bioenergetics in vitro, and tumor growth in vivo. Further pharmacokinetic, pharmacodynamic and preclinical animal studies are necessary to evaluate the potential of repurposing benserazide for the treatment of colorectal cancers.

Tandem virtual screening targeting the SRA domain of UHRF1 identifies a novel chemical tool modulating DNA methylation.

Ubiquitin-like protein UHRF1 that contains PHD and RING finger domain 1 is a key epigenetic protein enabling maintenance of the DNA methylation status through replication. A tandem virtual screening approach was implemented for identifying small molecules able to bind the 5-methylcytosine pocket of UHRF1 and inhibit its functionality. The NCI/DTP small molecules Repository was screened in silico by a combined protocol implementing structure-based and ligand-based methodologies. Consensus ranking was utilized to select a set of 27 top-ranked compounds that were subsequently evaluated experimentally in a stepwise manner for their ability to demethylate DNA in cellulo using PCR-MS and HPLC-MS/MS. The most active molecules were further assessed in a cell-based setting by the Proximity Ligation In Situ Assay and the ApoTome technology. Both evaluations confirmed that the DNMT1/UHRF1 interactions were significantly reduced after 4 h of incubation of U251 glioma cells with the most potent compound NSC232003, showing a 50% interaction inhibition at 15 µM as well as induction of global DNA cytosine demethylation as measured by ELISA. This is the first report of a chemical tool that targets UHRF1 and modulates DNA methylation in a cell context by potentially disrupting DNMT1/UHRF1 interactions. Compound NSC232003, a uracil derivative freely available by the NCI/DTP Repository, provides a versatile lead for developing highly potent and cell-permeable UHRF1 inhibitors that will enable dissection of DNA methylation inheritance.

Exploring and exploiting the systemic effects of deregulated replication licensing.

Maintenance and accurate propagation of the genetic material are key features for physiological development and wellbeing. The replication licensing machinery is crucial for replication precision as it ensures that replication takes place once per cell cycle. Thus, the expression status of the components comprising the replication licensing apparatus is tightly regulated to avoid re-replication; a form of replication stress that leads to genomic instability, a hallmark of cancer. In the present review we discuss the mechanistic basis of replication licensing deregulation, which leads to systemic effects, exemplified by its role in carcinogenesis and a variety of genetic syndromes. In addition, new insights demonstrate that above a particular threshold, the replication licensing factor Cdc6 acts as global transcriptional regulator, outlining new lines of exploration. The role of the putative replication licensing factor ChlR1/DDX11, mutated in the Warsaw Breakage Syndrome, in cancer is also considered. Finally, future perspectives focused on the potential therapeutic advantage by targeting replication licensing factors, and particularly Cdc6, are discussed.