Development Of Anticancer Drugs Research Articles

Functional Characterization and Anti-Tumor Effect of a Novel Group II Secreted Phospholipase A2 from Snake Venom of Saudi Cerastes cerates gasperetti.

Secreted phospholipases A2 are snake-venom proteins with many biological activities, notably anti-tumor activity. Phospholipases from the same snake type but different geographical locations have shown similar biochemical and biological activities with minor differences in protein sequences. Thus, the discovery of a new phospholipase A2 with unique characteristics identified in a previously studied venom could suggest the origins of these differences. Here, a new Group II secreted phospholipase A2 (Cc-PLA2-II) from the snake venom of Saudi Cerastes cerastes gasperetti was isolated and characterized. The purified enzyme had a molecular weight of 13.945 kDa and showed high specific activity on emulsified phosphatidylcholine of 1560 U/mg at pH 9.5 and 50 °C with strict calcium dependence. Interestingly, stability in extreme pH and high temperatures was observed after enzyme incubation at several pH levels and temperatures. Moreover, a significant dose-dependent cytotoxic anti-tumor effect against six human cancer cell lines was observed with concentrations of Cc-PLA2 ranging from 2.5 to 8 µM. No cytotoxic effect on normal human umbilical-vein endothelial cells was noted. These results suggest that Cc-PLA2-II potentially has angiogenic activity of besides cytotoxicity as part of its anti-tumor mechanism. This study justifies the inclusion of this enzyme in many applications for anticancer drug development.

Antioxidant, Anti-Inflammatory and Antiproliferative Effects of Osmanthus fragrans (Thunb.) Lour. Flower Extracts.

Osmanthus fragrans (Thunb.) Lour. flowers (OF-F) have been traditionally consumed as a functional food and utilized as folk medicine. This study evaluated the antioxidant, anti-inflammatory and cytotoxic effects of OF-F extracts on prostate cancer cells (DU-145) and determined possible protein-ligand interactions of its compounds in silico. The crude OF-F extracts-water (W) and ethanol (E) were tested for phytochemical screening, antioxidant, anti-inflammatory, and anti-cancer. Network and molecular docking analyses of chemical markers were executed to establish their application for anticancer drug development. OF-F-E possessed higher total polyphenols (233.360 ± 3.613 g/kg) and tannin (93.350 ± 1.003 g/kg) contents than OF-F-W. In addition, OF-F-E extract demonstrated effective DPPH scavenging activity (IC50 = 0.173 ± 0.004 kg/L) and contained a high FRAP value (830.620 ± 6.843 g Trolox/kg). In cell culture experiments, OF-F-E significantly reduced NO levels and inhibited cell proliferation of RAW-264.7 and DU-145 cell lines, respectively. Network analysis revealed O. fragrans (Thunb.) Lour. metabolites could affect thirteen molecular functions and thirteen biological processes in four cellular components. These metabolites inhibited key proteins of DU-145 prostate cancer using molecular docking with rutin owning the highest binding affinity with PIKR31 and AR. Hence, this study offered a new rationale for O. fragrans (Thunb.) Lour. metabolites as a medicinal herb for anticancer drug development.

Naturally-derived hydrogels for 3D pancreatic tumor models: A short review

Statistics suggest a high proportion of mortality rate by pancreatic cancer, which is a solid tumor characterized by high heterogeneity and the presence of a complex extracellular matrix. The very low effectiveness of pancreatic cancer treatment roots in the high metastatic potential and drug resistance of this tumor. Therefore, the quest for efficient cellular models enabling precise mimicking in vivo conditions, and anticancer drug development is emerging as a priority. Routinely used 2D culture models offer an initial evaluation of the therapeutic potential of a compound against tumors, while scaffold-free and next-generation scaffold-based 3D hydrogel-based models are found to be promising for appropriate mimicking of the tumor environment and cell interactions. Over the last few years, attention was paid to the use of naturally-derived hydrogel as 3D models for pancreatic tumor modeling. Herein we first overview scaffold-free and scaffold-based 3D tumor models as advanced approaches, followed by placing the focus on naturally-derived hydrogels applied as scaffolds in pancreatic cancer modeling. This short review emphasizes that sustainable hydrogels can almost precisely imitate the complex in vivo microenvironment of pancreatic tumor, thereby hydrogel-based scaffold tumor models may be a breakthrough in pancreatic cancer studies and, in result, significantly improve the poor pancreatic tumor survivability prognosis. Nevertheless, anticancer drug development might be overshadowed by using this family of biomaterials.

Synthesis and biological evaluation of carboxamide and quinoline derivatives as P2X7R antagonists

P2X7 receptor (P2X7R) has a key role in different pathological conditions, importantly overexpressed and activated in cancers. We explored the structure activity relationship (SAR) of three novel pyrazines, quinoline-carboxamide and oxadiazole series. Their selective inhibitory potency in Ca2+ mobilization assay using h-P2X7R-MCF-7 cells improved with phenyl ring substitutions (–OCF3, –CF3, and –CH3) in carboxamide and oxadiazole derivatives, respectively. However, highly electronegative fluoro, chloro, and iodo substitutions enhanced affinity. 1e, 2f, 2e, 1d, 2 g and 3e were most potent and selective toward h-P2X7R (IC50 values 0.457, 0.566, 0.624, 0.682, 0.813 and 0.890 µM, respectively) and were inactive at h-P2X4R, h-P2X2R, r-P2Y6R, h-P2Y2R, t-P2Y1R expressed in MCF-7 and 1321N1 astrocytoma cells. Cell viability (MTT assay at 100 µM, cell line) for 3e was 62% (HEK-293T), 70% (1321N1 astrocytoma) and 85% (MCF-7). >75% cell viability was noted for 2 g and >80% for 2e and 1d in all non-transfected cell lines. Anti-proliferative effects, compared to control (Bz-ATP), of selective antagonists (10 µM) were 3e (11%) 1d, (19%) 1e, (70%, P = 0.005) and 2f, (24%), indicating involvement of P2X7R. Apoptotic cell death by flow cytometry showed 1e to be most promising, with 35% cell death (PI positive cells), followed by 2e (25%), 2f (20%), and 1d (19%), compared to control. Fluorescence microscopic analysis of apoptotic changes in P2X7R-transfected cell lines was established. 1e and 2f at 1X and 2X IC50 increased cellular shrinkage, nuclear condensation and PI/DAPI fluorescence. In-silico antagonist modeling predicted ligand receptor interactions, and all compounds obeyed Lipinski rules. These results suggest that pyrazine, quinoline-carboxamide and oxadiazole derivatives could be moderately potent P2X7R antagonists for in vivo studies and anti-cancer drug development.

A Computational Study of Famciclovir Derivatives Against Thymidine Kinase as a Molecular Target for the Development of Novel Anticancer Drugs via Suicide Gene Therapy Concepts.

The viral thymidine kinase (TK) phosphorylates the antiviral medication famciclovir (FCV), which treats herpes simplex virus (HSV-TK). The phosphorylated FCV destroys the infected cells by preventing cellular DNA synthesis. We hypothesize that FCV impurity, which is a related substance to FCV, should be efficient in killing cells independent of HSV-TK and is currently the most widely used suicide agent for gene therapy of cancer. This study proposes the binding affinity of these derivatives for the active site of TK through molecular docking to a protein (PDB ID: 1W4R). The derivatives' reliability was ensured through the in-silico preliminary drug designing model by screening their Lipinski rule of five violations, if any, ADMET prediction for their profile using online tools. Using MOE 2009.10 computational software, we performed molecular docking of approximately 22 famciclovir derivatives alongside the famciclovir drug. Our results suggest that these derivatives are indicative of possible chemical stability irrespective of all the parameters used to evaluate the selected derivatives as a possible drug candidates for their cytotoxicity. FC20 (i.e., 2-(2-(2-((1-(9-(4-Acetoxy-3-(acetoxymethyl)butyl)-2-amino-9Hpurin- 8-yl)ethyl)amino)-9H-purin-9-yl)ethyl)propane-1,3-diyl diacetate) and FC21 (i.e., 2-Amino-1,9- dihydro-9-(4-hydroxybutyl)-6H-purin-6-one), showed maximum and minimum scores of -26.95 and - 7.21 kcal/mol, respectively when compared to famciclovir (-15.4122 kcal/mol). Considering that there might be a cytotoxicity effect due to competition between protein TK and the suicidal gene of famciclovir derivatives. The outcome of the study proved that the FCV impurity could successfully modify an HSV-TK-dependent antiviral drug into an anti-tumor drug. Further, it can be used for the design and development of novel compounds of FCV impurity that could be cytotoxic agents if properly delivered to cancer cells.

Microwave-Assisted Synthesis of Biologically Relevant Six-Membered N-Heterocycles

Abstract: One of the most efficient non-conventional heating methods is microwave irradiation. In organic synthesis, microwave irradiation has become a popular heating technique as it enhances product yields and purities, reduces reaction time from hours to minutes, and decreases unwanted side reactions. Microwave-assisted organic synthesis utilizes dielectric volumetric heating as an alternative activation method, which results in rapid and more selective transformations because of the uniform heat distribution. Heterocyclic compounds have a profound role in the drug discov-ery and development process along with their applications as agrochemicals, fungicides, herbi-cides, etc., making them the most prevalent form of biologically relevant molecules. Hence, enor-mous efforts have been made to flourish green routes for their high-yielding synthesis under mi-crowave irradiation as a sustainable tool. Among the different clinical applications, heterocyclic compounds have received considerable attention as anti-cancer agents. Heterocyclic moieties have always been core parts of the development of anti-cancer drugs, including market-selling drugs, i.e., 5-fluorouracil, doxorubicin, methotrexate, daunorubicin, etc., and natural alkaloids, such as vinblastine and vincristine. In this review, we focus on the developments in the microwave-assisted synthesis of heterocycles and the anti-cancer activities of particular heterocycles.

Microwave-assisted Synthesis of Heterocycles and their Anti-cancer Activities

Abstract: One of the most efficient non-conventional heating methods is microwave irradiation. In organic synthesis, microwave irradiation has become a popular heating technique as it enhances product yields and purities, reduces reaction time from hours to minutes, and decreases unwanted side reactions. Microwave-assisted organic synthesis utilizes dielectric volumetric heating as an alternative activation method, which results in rapid and more selective transformations because of the uniform heat distribution. Heterocyclic compounds have a profound role in the drug discovery and development process along with their applications as agrochemicals, fungicides, herbicides, etc., making them the most prevalent form of biologically relevant molecules. Hence, enormous efforts have been made to flourish green routes for their high-yielding synthesis under microwave irradiation as a sustainable tool. Among the different clinical applications, heterocyclic compounds have received considerable attention as anti-cancer agents. Heterocyclic moieties have always been core parts of the development of anti-cancer drugs, including market-selling drugs, i.e., 5-fluoroura-cil, doxorubicin, methotrexate, daunorubicin, etc., and natural alkaloids, such as vinblastine and vincristine. In this review, we focus on the developments in the microwave-assisted synthesis of heterocycles and the anti-cancer activities of particular heterocycles.

Techniques and Tools for in Silico Drug Design for The Development of Anticancer Drugs

This review focuses on different techniques used in the in-silico drug design, such as molecular modeling, molecular docking, pharmacophore mapping, QSAR, and more, and also highlights and looks at how these techniques are being used to create new potential anticancer drugs for their effective cancer treatments. Most of the article studies focus on In-silico approaches only but rarely on the In-silico approach used to develop anticancer drugs with effective targets. Cancer, which is caused by pathophysiological changes in the normal process of cell division, has become a serious disorder that kills a lot of people every year all over the world. Recently, more than 19.3 million (19,300,000) new instances of cancer were identified and reported; based on the available data, this will result in almost 10 million fatalities in 2020. The necessity and desire for powerful medications to treat various malignancies have been sparked by the persistently rising occurrences of cancer worldwide, resulting in millions of deaths each year. Developing new anticancer drugs is a high priority for researchers and medical professionals, and designing these anticancer drugs is challenging, expensive, and time-consuming. In-silico drug design, also known as computer-aided drug discovery/design (CADD) approaches, have been created to get around these restrictions and manage massive amounts of emerging data. It is possible to use computational tools to aid in the design of experiments and, more crucially, to clarify the links between structure and activity that underlie drug discovery and lead optimization techniques. To design effective new drugs, one should understand the molecular processes that cause cancer on the molecular level. In silico drug design is a powerful tool for understanding these molecular processes and developing new and effective anticancer drugs. Keywords: , , , , , Quantitative Structure-Activity Relationship, and Virtual screening.

Invitro evaluation of the anti‑breast cancer properties and gene expression profiles of Thai traditional formulary medicine extracts.

Breast cancer is a leading cause of cancer-related deaths worldwide. Moreover, standard treatments are limited, so new alternative treatments are required. Thai traditional formulary medicine (TTFM) utilizes certain herbs to treat different diseases due to their dominant properties including anti-fungal, anti-bacterial, antigenotoxic, anti-inflammatory and anti-cancer actions. However, very little is known about the anti-cancer properties of TTFM against breast cancer cells and the underlying molecular mechanism has not been elucidated. Therefore, the present study, evaluated the metabolite profiles of TTFM extracts, the anti-cancer activities of TTFM extracts, their effects on the apoptosis pathway and associated gene expression profiles. Liquid chromatography with tandem mass spectroscopy analysis identified a total of 226 compounds within the TTFM extracts. Several of these compounds have been previously shown to have an anti-cancer effect in certain cancer types. The MTT results demonstrated that the TTFM extracts significantly reduced the cell viability of the breast cancer 4T1 and MDA-MB-231 cell lines. Moreover, an apoptosis assay, demonstrated that the TTFM extracts significantly increased the proportion of apoptotic cells. Furthermore, the RNA-sequencing results demonstrated that 25 known genes were affected by TTFM treatment in 4T1 cells. TTFM treatment significantly up-regulated Slc5a8 and Arhgap9 expression compared with untreated cells. Moreover, Cybb, and Bach2os were significantly downregulated after TTFM treatment compared with untreated cells. Reverse transcription-quantitative PCR demonstrated that TTFM extract treatment significantly increased Slc5a8 and Arhgap9 mRNA expression levels and significantly decreased Cybb mRNA expression levels. Moreover, the mRNA expression levels of Bax and Casp9 were significantly increased after TTFM treatment in 4T1 cells compared with EpH4-Ev cells. These findings indicated anti-breast cancer activity via induction of the apoptotic process. However, further experiments are required to elucidate how TTFM specifically regulates genes and proteins. This study supports the potential usage of TTFM extracts for the development of anti-cancer drugs.

Narciclasine, a novel topoisomerase I inhibitor, exhibited potent anti-cancer activity against cancer cells

DNA topoisomerases are essential nuclear enzymes in correcting topological DNA errors and maintaining DNA integrity. Topoisomerase inhibitors are a significant class of cancer chemotherapeutics with a definite curative effect. Natural products are a rich source of lead compounds for drug discovery, including anti-tumor drugs. In this study, we found that narciclasine (NCS), an amaryllidaceae alkaloid, is a novel inhibitor of topoisomerase I (topo I). Our data demonstrated that NCS inhibited topo I activity and reversed its unwinding effect on p-HOT DNA substrate. However, it had no obvious effect on topo II activity. The molecular mechanism of NCS inhibited topo I showed that NCS did not stabilize topo-DNA covalent complexes in cells, indicating that NCS is not a topo I poison. A blind docking result showed that NCS could bind to topo I, suggesting that NCS might be a topo I suppressor. Additionally, NCS exhibited a potent anti-proliferation effect in various cancer cells. NCS arrested the cell cycle at G2/M phase and induced cell apoptosis. Our study reveals the antitumor mechanisms of NCS and provides a good foundation for the development of anti-cancer drugs based on topo I inhibition.Graphical abstract

Graph Energy Variants and Topological Indices in Platinum Anticancer Drug Design: Mathematical Insights and Computational Analysis with DFT and QTAIM

In this paper, we present a new approach that explores the application of graph energy variants in chemistry, specifically in the development of platinum anticancer drugs. While previous energy variants have been proposed without considering their direct relevance to chemistry, our study focuses on two key aspects. First, we investigate the correlation between seven degree-based and four distance-based topological indices and their corresponding energies in platinum anticancer drugs. Furthermore, we mathematically analyze the properties of these energies, establishing upper and lower bounds that can be generalized to other structures. Second, we examine the possibility of utilizing the energies of these topological indices as structural descriptors. Our research showcases promising results, suggesting potential improvements in the future manufacturing of anticancer drugs. In addition, we employ density functional theory D F T calculations to optimize the molecular structures of platinum anticancer drugs and identify local reactive sites using Fukui functions. Quantum theory of atoms in molecules Q T A I M was carried out at the bond critical point B C P , to reveal the nature of the intermolecular interactions in the investigated ten Pt anticancer drugs, especially, the nature of bonds between Pt atoms and their bond atoms. Overall, this study presents an innovative approach that bridges graph energies, topological indices, and DFT with the properties (physical and chemical) of platinum anticancer drugs, offering insights into their molecular properties and potential for enhanced drug design.

Potential targets of natural medicines: preventing lung cancer pre-metastatic niche formation by regulating exosomes.

Lung cancer is one of the most devastating diseases worldwide with high incidence and mortality, and the incidence continues to rise. Metastasis is the leading cause of death in lung cancer patients, yet the molecular effectors underlying tumor dissemination remain poorly defined. Research findings in recent years confirmed primed microenvironment of future metastatic sites, called the pre-metastatic niche, is a prerequisite for overt metastasis. Exosomes have recently emerged as important players in pre-metastatic niche formation. Natural medicines have traditionally been rich sources of drug discovery. Some of them exhibit favorable anti-lung cancer activity. The review focused on the latest advances in the regulation of the pre-metastatic niche formation in lung cancer by the contents of exosomes of representative natural medicines. Additionally, the mechanism of natural medicines was summarized in detail, which would provide new insights for anti-cancer new drug development.

Synthesis of N-aminophalimides derived from α-amino acids: Theoretical study to find them as HDAC8 inhibitors by docking simulations and in vitro assays.

Phthalimides are valuable for synthesis and biological properties. New acetamides 3(a-c) and 4(a-c) were synthesized and characterized as precursors for novel N-aminophalimides 5(a-c) and 6(a-c). Structures of 4a, 5(a-b), and 6(a-b) were confirmed by single crystal X-ray. Docking studies identified compounds with favorable Gibbs free energy values for binding to histone deacetylase 8 (HDAC8), an enzyme targeted for anticancer drug development. These compounds bound to both the orthosteric and allosteric pockets of HDAC8, similar to Trichostatin A (TSA), an HDAC8 inhibitor. 6(a-c) contain hydroxyacetamide moiety as a zinc-binding group, a phthalimide moiety as a capping group, and aminoacetamide moiety as a linker group, which are important for ligand-receptor binding. ΔG values indicated that compounds 5b, 6b, and 6c had higher affinity for HDAC8 in the allosteric pocket compared to TSA. In vitro evaluation of inhibitory activities on HDAC8 revealed that compounds 3(a-c) and 5(a-c) showed similar inhibitory effects (IC50 ) ranging from 0.445 to 0.751 μM. Compounds 6(a-c) showed better affinity, with 6a (IC50 = 28 nM) and 6b (IC50 = 0.18 μM) showing potent inhibitory effects slightly lower than TSA (IC50 = 26 nM). These findings suggest that the studied compounds hold promise as potential candidates for further biological investigations.

Discovery of Selective Tertiary Amide Inhibitors of Cyclin-Dependent Kinase 2 (CDK2).

Cyclin-dependent kinases (CDKs) are key regulators of the cell cycle and are frequently altered in cancer cells, thereby leading to uncontrolled proliferation. In this context, CDK2 has emerged as an appealing target for anticancer drug development. Herein, we describe the discovery of a series of selective small molecule inhibitors of CDK2 beginning with historical compounds from our ERK2 program (e.g., compound 6). Structure-based drug design led to the potent and selective tool compound 32, where excellent selectivity against ERK2 and CDK4 was achieved by filling the lipophilic DFG-1 pocket and targeting interactions with CDK2-specific lower hinge binding residues, respectively. Compound 32 demonstrated 112% tumor growth inhibition in mice bearing OVCAR3 tumors with 50 mg/kg bis in die (BID) oral dosing.

Synthesis, in vitro Cytotoxicity Evaluation, and Docking Studies of Gloriosine Derivatives as Potential Anticancer Agents

AbstractIn the present work, series of C10‐amine and amide derivatives of gloriosine were synthesized and evaluated for in vitro cytotoxic activity against a panel of six human cancer cell lines (MDA‐MB‐231, U87, FaDu, SiHa, A549, and MCF‐7) of multiple tissue origin. The synthesized compounds were characterized by 1H and 13C NMR and MS experiments. In vitro cytotoxicity study showed that most of the C10‐amine derivatives demonstrated superior activity in two of the tested cell lines, namely U87 and FaDu cell lines, while C10‐amide derivatives showed poor activity in all the cell lines. The C10‐amine derivatives were subjected to molecular docking studies to explore their possible binding interactions with colchicine binding site of tubulin protein, and in‐silico ADME profiling to study the drug‐likeness. The C10‐amine derivatives may be less toxic than gloriosine towards normal cells and may provide the lead for anticancer drug development.

Machine Learning-Based Approach to Developing Potent EGFR Inhibitors for Breast Cancer-Design, Synthesis, and In Vitro Evaluation.

The epidermal growth factor receptor (EGFR) is vital for regulating cellular functions, including cell division, migration, survival, apoptosis, angiogenesis, and cancer. EGFR overexpression is an ideal target for anticancer drug development as it is absent from normal tissues, marking it as tumor-specific. Unfortunately, the development of medication resistance limits the therapeutic efficacy of the currently approved EGFR inhibitors, indicating the need for further development. Herein, a machine learning-based application that predicts the bioactivity of novel EGFR inhibitors is presented. Clustering of the EGFR small-molecule inhibitor (∼9000 compounds) library showed that N-substituted quinazolin-4-amine-based compounds made up the largest cluster of EGFR inhibitors (∼2500 compounds). Taking advantage of this finding, rational drug design was used to design a novel series of 4-anilinoquinazoline-based EGFR inhibitors, which were first tested by the developed artificial intelligence application, and only the compounds which were predicted to be active were then chosen to be synthesized. This led to the synthesis of 18 novel compounds, which were subsequently evaluated for cytotoxicity and EGFR inhibitory activity. Among the tested compounds, compound 9 demonstrated the most potent antiproliferative activity, with 2.50 and 1.96 μM activity over MCF-7 and MDA-MB-231 cancer cell lines, respectively. Moreover, compound 9 displayed an EGFR inhibitory activity of 2.53 nM and promising apoptotic results, marking it a potential candidate for breast cancer therapy.

Sanguinarine induces apoptosis in osteosarcoma by attenuating the binding of STAT3 to the single-stranded DNA-binding protein 1 (SSBP1) promoter region.

Osteosarcoma, a primary malignant bone tumour prevalent among adolescents and young adults, remains a considerable challenge despite protracted progress made in enhancing patient survival rates over the last 40 years. Consequently, the development of novel therapeutic approaches for osteosarcoma is imperative. Sanguinarine (SNG), a compound with demonstrated potent anticancer properties against various malignancies, presents a promising avenue for exploration. Nevertheless, the intricate molecular mechanisms underpinning SNG's actions in osteosarcoma remain elusive, necessitating further elucidation. Single-stranded DNA-binding protein 1 (SSBP1) was screened out by differential proteomic analysis. Apoptosis, cell cycle, reactive oxygen species (ROS) and mitochondrial changes were assessed via flow cytometry. Western blotting and quantitative real-time reverse transcription PCR (qRT-PCR) were used to determine protein and gene levels. The antitumour mechanism of SNG was explored at a molecular level using chromatin immunoprecipitation (ChIP) and dual luciferase reporter plasmids. Our investigation revealed that SNG exerted an up-regulated effect on SSBP1, disrupting mitochondrial function and inducing apoptosis. In-depth analysis uncovered a mechanism whereby SNG hindered the JAK/signal transducer and activator of transcription 3 (STAT3) signalling pathway, relieved the inhibitory effect of STAT3 on SSBP1 transcription, and inhibited the downstream PI3K/Akt/mTOR signalling axis, ultimately activating apoptosis. The study delved further into elucidating the anticancer mechanism of SNG in osteosarcoma. Notably, we unravelled the previously undisclosed apoptotic potential of SSBP1 in osteosarcoma cells. This finding holds substantial promise in advancing the development of novel anticancer drugs and identification of therapeutic targets.

Recent Advances in the Development of Pyrazole Derivatives as Anticancer Agents.

Pyrazole derivatives, as a class of heterocyclic compounds, possess unique chemical structures that confer them with a broad spectrum of pharmacological activities. They have been extensively explored for designing potent and selective anticancer agents. In recent years, numerous pyrazole derivatives have been synthesized and evaluated for their anticancer potential against various cancer cell lines. Structure-activity relationship studies have shown that appropriate substitution on different positions of the pyrazole ring can significantly enhance anticancer efficacy and tumor selectivity. It is noteworthy that many pyrazole derivatives have demonstrated multiple mechanisms of anticancer action by interacting with various targets including tubulin, EGFR, CDK, BTK, and DNA. Therefore, this review summarizes the current understanding on the structural features of pyrazole derivatives and their structure-activity relationships with different targets, aiming to facilitate the development of potential pyrazole-based anticancer drugs. We focus on the latest research advances in anticancer activities of pyrazole compounds reported from 2018 to present.

Otilonium Bromide acts as a selective USP28 inhibitor and exhibits cytotoxic activity against multiple human cancer cell lines

USP28 contributes to tumorigenesis through modulating the lifespan of oncogenic factors such as c-Myc and ΔNp63, and it has been identified as a potential target for anti-cancer drug development. Currently, although quite a number of USP28 inhibitors have been developed, they all are still in preclinical research stage. Besides, none of them exhibits satisfying inhibition selectivity against USP28 over its closest homologue USP25. Here in this manuscript, a high-throughput screening aiming to discover USP28 inhibitors with novel scaffold and enhanced inhibition selectivity were conducted. After the primary screening and the second round of validation, Otilonium Bromide, an approved drug for treating irritable bowel syndrome, was identified to inhibit USP28′s activity with the IC50 value at 6.90 ± 0.90 μM. Besides, the drug exhibits a 3–4 folds inhibition selectivity against USP28 over USP25. According to the enzymatic kinetics analysis data and the hydrogen–deuterium exchange mass spectrometry results, Otilonium Bromide could bind to the allosteric pocket of USP28 and inhibit its activity in a reversible and non-competitive mode. The following performed cell-based assays revealed that the drug could cause cytotoxicity against human colorectal cancer cells and lung squamous carcinoma cells potentially through down-regulating USP28′s oncogenic substrates c-Myc and/or ΔNp63. Meanwhile, since Otilonium Bromide has been found to preferentially distribute to gastrointestinal tissues, we then evaluated its potential in the combination treatment of colorectal cancer cells with Regorafenib, which is an approved drug for colorectal cancer therapy. As expected, Otilonium Bromide could significantly enhance the sensitivity of colorectal cancer cells to Regorafenib.

Machine Learning-Based Virtual Screening and Molecular Simulation Approaches Identified Novel Potential Inhibitors for Cancer Therapy.

Cyclin-dependent kinase 2 (CDK2) is a promising target for cancer treatment, developing new effective CDK2 inhibitors is of great significance in anticancer therapy. The involvement of CDK2 in tumorigenesis has been debated, but recent evidence suggests that specifically inhibiting CDK2 could be beneficial in treating certain tumors. This approach remains attractive in the development of anticancer drugs. Several small-molecule inhibitors targeting CDK2 have reached clinical trials, but a selective inhibitor for CDK2 is yet to be discovered. In this study, we conducted machine learning-based drug designing to search for a drug candidate for CDK2. Machine learning models, including k-NN, SVM, RF, and GNB, were created to detect active and inactive inhibitors for a CDK2 drug target. The models were assessed using 10-fold cross-validation to ensure their accuracy and reliability. These methods are highly suitable for classifying compounds as either active or inactive through the virtual screening of extensive compound libraries. Subsequently, machine learning techniques were employed to analyze the test dataset obtained from the zinc database. A total of 25 compounds with 98% accuracy were predicted as active against CDK2. These compounds were docked into CDK2's active site. Finally, three compounds were selected based on good docking score, and, along with a reference compound, underwent MD simulation. The Gaussian naïve Bayes model yielded superior results compared to other models. The top three hits exhibited enhanced stability and compactness compared to the reference compound. In conclusion, our study provides valuable insights for identifying and refining lead compounds as CDK2 inhibitors.