Kinase drug discovery 20 years after imatinib: progress and future directions

Hyperdifferentiated murine melanoma cells promote adaptive anti-tumor immunity but activate the immune checkpoint system

Accumulating evidence suggests that phenotype switching of cancer cells is essential for therapeutic resistance. However, the immunological characteristics of drug-induced phenotype-switching melanoma cells (PSMCs) are unknown. We investigated PSMC elimination by host immunity using hyperdifferentiated melanoma model cells derived from murine B16F10 melanoma cells. Exposure of B16F10 cells to staurosporine induced a hyperdifferentiated phenotype associated with transient drug tolerance. Staurosporine-induced hyperdifferentiated B16F10 (sB16F10) cells expressed calreticulin on their surface and were phagocytosed efficiently. Furthermore, the inoculation of mice with sB16F10 cells induced immune responses against tumor-derived antigens. Despite the immunogenicity of sB16F10 cells, they activated the PD-1/PD-L1 immune checkpoint system and strongly resisted T cell-mediated tumor destruction. However, in vivo treatment with immune checkpoint inhibitors successfully eliminated the tumor. Thus, hyperdifferentiated melanoma cells have conflicting immunological properties - enhanced immunogenicity and immune evasion. Inhibiting the ability of PSMCs to evade T cell-mediated elimination might lead to complete melanoma eradication.

Exploring oncology treatment strategies with tyrosine kinase inhibitors through advanced 3D models (Review)

The limitations of two-dimensional (2D) models in cancer research have hindered progress in fully understanding the complexities of drug resistance and therapeutic failures. However, three-dimensional (3D) models provide a more accurate representation of in vivo environments, capturing critical cellular interactions and dynamics that are essential in evaluating the efficacy and toxicity of tyrosine kinase inhibitors (TKIs). These advanced models enable researchers to explore drug resistance mechanisms with greater precision, optimizing treatment strategies and improving the predictive accuracy of clinical outcomes. By leveraging 3D models, it will be possible to deepen the current understanding of TKIs and drive forward innovations in cancer treatment. The present review discusses the limitations of 2D models and the transformative impact of 3D models on oncology research, highlighting their roles in addressing the challenges of 2D systems and advancing TKI studies.

Structure-activity relationship studies and design of a PTPN22 inhibitor with enhanced isozyme selectivity and cellular efficacy

Protein tyrosine phosphatase non-receptor type 22 (PTPN22) lies downstream of the T cell receptor (TCR) and attenuates T cell signaling by dephosphorylating key effector proteins such as LCK, Zap70, and the intracellular region of the TCR. Recent evidence implicates PTPN22 as an exciting target for enabling immunotherapeutic efficacy against cancer. We carried out structural optimization of a benzofuran salicylic acid-based orthosteric PTPN22 inhibitor 8b, using a combination of crystal structure analysis, synthesis, matched molecular pairs analysis, and biochemical and cell-based assays. Herein, we report structure-activity relationship studies, lead optimization based on the 8b-PTPN22 co-crystal structure, and cellular evaluation of the top analog. Notably, our efforts yielded compound 8b-19, an essentially equipotent scaffold with superior isozyme selectivity, improved aqueous solubility, and significantly enhanced cellular efficacy compared to the parent 8b. This compound may serve as a lead for further optimization of PTPN22-targeting immunotherapies or as a chemical probe for interrogation for additional links between PTPN22 and immunomodulation in cells.

Survival strategies of cancer cells: the role of macropinocytosis in nutrient acquisition, metabolic reprogramming, and therapeutic targeting

Macropinocytosis is a nonselective form of endocytosis that allows cancer cells to largely take up the extracellular fluid and its contents, including nutrients, growth factors, etc. We first elaborate meticulously on the process of macropinocytosis. Only by thoroughly understanding this entire process can we devise targeted strategies against it. We then focus on the central role of the MTOR (mechanistic target of rapamycin kinase) complex 1 (MTORC1) in regulating macropinocytosis, highlighting its significance as a key signaling hub where various pathways converge to control nutrient uptake and metabolic processes. The article covers a comprehensive analysis of the literature on the molecular mechanisms governing macropinocytosis, including the initiation, maturation, and recycling of macropinosomes, with an emphasis on how these processes are hijacked by cancer cells to sustain their growth. Key discussions include the potential therapeutic strategies targeting macropinocytosis, such as enhancing drug delivery via this pathway, inhibiting macropinocytosis to starve cancer cells, blocking the degradation and recycling of macropinosomes, and inducing methuosis - a form of cell death triggered by excessive macropinocytosis. Targeting macropinocytosis represents a novel and innovative approach that could significantly advance the treatment of cancers that rely on this pathway for survival. Through continuous research and innovation, we look forward to developing more effective and safer anti-cancer therapies that will bring new hope to patients.

Design, synthesis, and X-ray structural studies of a series of highly potent, selective, and drug-like G protein-coupled receptor kinase 5 inhibitors

G protein-coupled receptor kinase 5 (GRK5) has emerged as a potential drug development target against heart failure and cancer. A close homolog, GRK6 represents a therapeutic target for multiple myeloma. We have rationally designed a series of highly selective, potent, noncovalent, and drug-like GRK5 inhibitors. Several inhibitors exhibited low nanomolar GRK5 inhibition and high selectivity over GRK2, and, surprisingly, some were selective for GRK6. We determined high-resolution X-ray crystal structures of several inhibitors in complex with GRK5, which provide molecular insights into the ligand-binding site interactions responsible for GRK5 selectivity and potency.

Bola-Amphiphilic Dendrimer Enhances Imatinib to Target Metastatic Ovarian Cancer via β-Catenin-HRP2 Signaling Axis

Ovarian cancer is the leading cause of death among all gynecological malignancies, and drug resistance renders the current chemotherapy agents ineffective for patients with advanced metastatic tumors. We report an effective treatment strategy for targeting metastatic ovarian cancer involving a nanoformulation (Bola/IM)─bola-amphiphilic dendrimer (Bola)-encapsulated imatinib (IM)─to target the critical mediator of ovarian cancer stem cells (CSCs) CD117 (c-Kit). Bola/IM offered significantly more effective targeting of CSCs compared to IM alone, through a novel and tumor-specific β-catenin/HRP2 axis, allowing potent inhibition of cancer cell survival, stemness, and metastasis in metastatic and drug-resistant ovarian cancer cells. Promising results were also obtained in clinically relevant patient-derived ascites and organoids alongside high tumor-oriented accumulation and favorable pharmacokinetic properties in mouse models. Furthermore, Bola/IM displayed synergistic anticancer activity when combined with the first-line chemotherapeutic drug cisplatin in patient-derived xenograft mouse models without any adverse effects. Our findings support the use of Bola/IM as a nanoformulation to empower IM, providing targeted and potent treatment of metastatic ovarian cancer. Our study thus represents a significant advancement toward addressing the unmet medical need for improved therapies targeting this challenging disease.

Residue-Level Multiview Deep Learning for ATP Binding Site Prediction and Applications in Kinase Inhibitors

Accurate identification of adenosine triphosphate (ATP) binding sites is crucial for understanding cellular functions and advancing drug discovery, particularly in targeting kinases for cancer treatment. Existing methods face significant challenges due to their reliance on time-consuming precomputed features and the heavily imbalanced nature of binding site data without further investigations on their utility in drug discovery. To address these limitations, we introduced Multiview-ATPBind and ResiBoost. Multiview-ATPBind is an end-to-end deep learning model that integrates one-dimensional (1D) sequence and three-dimensional (3D) structural information for rapid and precise residue-level pocket-ligand interaction predictions. Additionally, ResiBoost is a novel residue-level boosting algorithm designed to mitigate data imbalance by enhancing the prediction of rare positive binding residues. Our approach outperforms state-of-the-art models on benchmark data sets, showing significant improvements in balanced metrics with both experimental and AI-predicted structures. Furthermore, our model seamlessly transfers to predicting binding sites and enhancing docking simulations for kinase inhibitors, including imatinib and dasatinib, underscoring the potential of our method in drug discovery applications.

Defining proteoform-specific interactions for drug targeting in a native cell signalling environment

Understanding the dynamics of membrane protein-ligand interactions within a native lipid bilayer is a major goal for drug discovery. Typically, cell-based assays are used, however, they are often blind to the effects of protein modifications. In this study, using the archetypal G protein-coupled receptor rhodopsin, we found that the receptor and its effectors can be released directly from retina rod disc membranes using infrared irradiation in a mass spectrometer. Subsequent isolation and dissociation by infrared multiphoton dissociation enabled the sequencing of individual retina proteoforms. Specifically, we categorized distinct proteoforms of rhodopsin, localized labile palmitoylations, discovered a Gβγ proteoform that abolishes membrane association and defined lipid modifications on G proteins that influence their assembly. Given reports of undesirable side-effects involving vision, we characterized the off-target drug binding of two phosphodiesterase 5 inhibitors, vardenafil and sildenafil, to the retina rod phosphodiesterase 6 (PDE6). The results demonstrate differential off-target reactivity with PDE6 and an interaction preference for lipidated proteoforms of G proteins. In summary, this study highlights the opportunities for probing proteoform-ligand interactions within natural membrane environments.

Identification of a Potent CDK8 Inhibitor Using Structure-Based Virtual Screening

Pulmonary fibrosis is excessive scarring of the lung tissues. Transforming growth factor-beta (TGF-β) has been implicated in pulmonary fibrosis due to its ability to induce the epithelial-to-mesenchymal transition (EMT) and promote epithelial cell migration. Cyclin-dependent kinase 8 (CDK8) can mediate the TGF-β signaling pathways and could function as an alternative therapeutic target for treating pulmonary fibrosis. Here, we performed a structure-based virtual screening campaign to identify CDK8 inhibitors from a library of 1.6 million compounds. The screening process ended with the identification of a novel CDK8 inhibitor, P162-0948 (IC50: 50.4 nM). An interaction analysis highlighted important CDK8-ligand interactions that support its binding and inhibitory activity. Testing against a panel of 60 different kinases demonstrated P162-0948 selectivity toward CDK8. Crucially, the inhibitor was found to be structurally novel when compared to known CDK8 inhibitors. Testing in A549 human alveolar epithelial cell lines showed that the P162-0948 can reduce cell migration and protein expression of EMT-related proteins. When P162-0948 was treated in cells at 5 μM, phosphorylation of Smad in the nucleus was reduced, which suggests disruption of the TGF-β/Smad signaling pathway. The identification of P162-0948 shows that it is not only potent, but its structural novelty can inform future design studies for potential therapeutics targeting pulmonary fibrosis.

Activation of TMEM16E scramblase induces ligand independent growth factor receptor signaling and macropinocytosis for membrane repair

The calcium-dependent phospholipid scramblase TMEM16E mediates ion transport and lipid translocation across the plasma membrane. TMEM16E also contributes to protection of membrane structure by facilitating cellular repair signaling. Our research reveals that TMEM16E activation promotes macropinocytosis, essential for maintaining plasma membrane integrity. This scramblase externalizes phosphatidylserine, typically linked to resting growth factor receptors. We demonstrate that TMEM16E can interact with and signal through growth factor receptors, including epidermal growth factor receptor, even without ligands. This interaction stimulates downstream phosphoinositide 3-kinase and facilitates macropinocytosis and internalization of annexin V bound to the membrane, a process sensitive to amiloride inhibition. Although TMEM16E is internalized during this process, it returns to the plasma membrane. TMEM16E- driven macropinocytosis is proposed to restore membrane integrity after perturbation, potentially explaining pathologies in conditions like muscular dystrophies, where TMEM16E functionality is compromised, highlighting its critical role in muscle cell survival.

High-throughput hit identification with acoustic ejection mass spectrometry

This mini-review provides an overview of recent developments in AEMS supporting hit identification in drug discovery, emphasizing its potential to enhance the quality and efficiency of label-free HTS. Future advancements that may further expand the role of AEMS in the drug discovery process will also be discussed.

Development and Discovery of a Selective Degrader of Casein Kinases 1 δ/ε

Members of the casein kinase 1 (CK1) family have emerged as key regulators of cellular signaling and as potential drug targets. Functional annotation of the 7 human isoforms would benefit from isoform-selective inhibitors, allowing studies on the role of these enzymes in normal physiology and disease pathogenesis. However, due to significant sequence homology within the catalytic domain, isoform selectivity is difficult to achieve with conventional small molecules. Here, we used a PROTAC (Proteolysis TArgeting Chimeras) approach to develop a highly selective degrader AH078 (37) targeting CK1δ and CK1ε with excellent selectivity over the highly related CK1α isoform. The developed PROTAC, AH078 (37) selectively degraded CK1δ and CK1ε with a DC50 of 200 nM. Characterization of AH078 (37) revealed a VHL and Ubiquitin-dependent degradation mechanism. Thus, AH078 (37) represents a versatile chemical tool to study CK1δ and CK1ε function in cellular systems.

Identifying Protein-Nucleotide Binding Residues via Grouped Multi-task Learning and Pre-trained Protein Language Models

The accurate identification of protein-nucleotide binding residues is crucial for protein function annotation and drug discovery. Numerous computational methods have been proposed to predict these binding residues, achieving remarkable performance. However, due to the limited availability and high variability of nucleotides, predicting binding residues for diverse nucleotides remains a significant challenge. To address these, we propose NucGMTL, a new grouped deep multi-task learning approach designed for predicting binding residues of all observed nucleotides in the BioLiP database. NucGMTL leverages pre-trained protein language models to generate robust sequence embedding and incorporates multi-scale learning along with scale-based self-attention mechanisms to capture a broader range of feature dependencies. To effectively harness the shared binding patterns across various nucleotides, deep multi-task learning is utilized to distill common representations, taking advantage of auxiliary information from similar nucleotides selected based on task grouping. Performance evaluation on benchmark data sets shows that NucGMTL achieves an average area under the Precision-Recall curve (AUPRC) of 0.594, surpassing other state-of-the-art methods. Further analyses highlight that the predominant advantage of NucGMTL can be reflected by its effective integration of grouped multi-task learning and pre-trained protein language models. The data set and source code are freely accessible at: https://github.com/jerry1984Y/NucGMTL.

Design, Synthesis, and Biochemical Evaluation of Novel MLK3 Inhibitors: A Target Hopping Example

The human kinome has tremendous medical potential. In the past decade, mixed-lineage protein kinase 3 (MLK3) has emerged as an interesting and druggable target in oncogenic signaling. The important role of MLK3 has been demonstrated in several types of cancer. In a target hopping example we started with the focal adhesion kinase (FAK) inhibitor PF-431396 (10), which shows off-target activity toward MLK3. We were able to develop highly active compounds in the single digit nanomolar range for MLK3. Furthermore, we achieved a dramatic shift in selectivity from FAK to MLK3. Here we present a new chemical class of MLK3 inhibitors, including our lead compound 37 with an outstanding IC50 value of <1 nM in a biochemical MLK3 assay while simultaneously exhibiting kinome-wide selectivity.

PTMNavigator: interactive visualization of differentially regulated post-translational modifications in cellular signaling pathways

Post-translational modifications (PTMs) play pivotal roles in regulating cellular signaling, fine-tuning protein function, and orchestrating complex biological processes. Despite their importance, the lack of comprehensive tools for studying PTMs from a pathway-centric perspective has limited our ability to understand how PTMs modulate cellular pathways on a molecular level. Here, we present PTMNavigator, a tool integrated into the ProteomicsDB platform that offers an interactive interface for researchers to overlay experimental PTM data with pathway diagrams. PTMNavigator provides ~3000 canonical pathways from manually curated databases, enabling users to modify and create custom diagrams tailored to their data. Additionally, PTMNavigator automatically runs kinase and pathway enrichment algorithms whose results are directly integrated into the visualization. This offers a comprehensive view of the intricate relationship between PTMs and signaling pathways. We demonstrate the utility of PTMNavigator by applying it to two phosphoproteomics datasets, showing how it can enhance pathway enrichment analysis, visualize how drug treatments result in a discernable flow of PTM-driven signaling, and aid in proposing extensions to existing pathways. By enhancing our understanding of cellular signaling dynamics and facilitating the discovery of PTM-pathway interactions, PTMNavigator advances our knowledge of PTM biology and its implications in health and disease.

Dual-action kinase inhibitors influence p38α MAP kinase dephosphorylation

Reversible protein phosphorylation directs essential cellular processes including cell division, cell growth, cell death, inflammation, and differentiation. Because protein phosphorylation drives diverse diseases, kinases and phosphatases have been targets for drug discovery, with some achieving remarkable clinical success. Most protein kinases are activated by phosphorylation of their activation loops, which shifts the conformational equilibrium of the kinase toward the active state. To turn off the kinase, protein phosphatases dephosphorylate these sites, but how the conformation of the dynamic activation loop contributes to dephosphorylation was not known. To answer this, we modulated the activation loop conformational equilibrium of human p38α ΜΑP kinase with existing kinase inhibitors that bind and stabilize specific inactive activation loop conformations. From this, we identified three inhibitors that increase the rate of dephosphorylation of the activation loop phospho-threonine by the PPM serine/threonine phosphatase WIP1. Hence, these compounds are "dual-action" inhibitors that simultaneously block the active site and promote p38α dephosphorylation. Our X-ray crystal structures of phosphorylated p38α bound to the dual-action inhibitors reveal a shared flipped conformation of the activation loop with a fully accessible phospho-threonine. In contrast, our X-ray crystal structure of phosphorylated apo human p38α reveals a different activation loop conformation with an inaccessible phospho-threonine, thereby explaining the increased rate of dephosphorylation upon inhibitor binding. These findings reveal a conformational preference of phosphatases for their targets and suggest a unique approach to achieving improved potency and specificity for therapeutic kinase inhibitors.

Thieno[3,2-b]pyridine: Attractive scaffold for highly selective inhibitors of underexplored protein kinases with variable binding mode

Protein kinases are key regulators of numerous biological processes and aberrant kinase activity can cause various diseases, particularly cancer. Herein, we report the identification of new series of highly selective kinase inhibitors based on the thieno[3,2-b]pyridine scaffold. The weak interaction of the thieno[3,2-b]pyridine core with the kinase hinge region allows for profoundly different binding modes all of which maintain high kinome-wide selectivity, as illustrated by the isomers MU1464 and MU1668. Thus, this core structure provides a template of ATP-competitive but not ATP-mimetic inhibitors that are anchored at the kinase back pocket. Mapping the chemical space around the central thieno[3,2-b]pyridine pharmacophore afforded highly selective inhibitors of the kinase Haspin, exemplified by the compound MU1920 that fulfils criteria for a quality chemical probe and is suitable for use in in vivo applications. However, despite the role of Haspin in mitosis, the inhibition of Haspin alone was not sufficient to elicit cytotoxic effect in cancer cells. The thieno[3,2-b]pyridine scaffold can be used in a broader context, as a basis of inhibitors targeting other underexplored protein kinases, such as CDKLs.

Acquired resistance to tyrosine kinase targeted therapy: mechanism and tackling strategies

Over the past two decades, tyrosine kinase inhibitors (TKIs) have rapidly emerged as pivotal targeted agents, offering promising therapeutic prospects for patients. However, as the cornerstone of targeted therapies, an increasing number of TKIs have been found to develop acquired resistance during treatment, making the challenge of overcoming this resistance a primary focus of current research. This review comprehensively examines the evolution of TKIs from multiple perspectives, with particular emphasis on the mechanisms underlying acquired resistance, innovative drug design strategies, inherent challenges, and future directions.

Exploring the landscape of post-translational modification in drug discovery

Post-translational modifications (PTMs) play a crucial role in regulating protein function, and their dysregulation is frequently associated with various diseases. The emergence of epigenetic drugs targeting factors such as histone deacetylases (HDACs) and histone methyltransferase enhancers of zeste homolog 2 (EZH2) has led to a significant shift towards precision medicine, offering new possibilities to overcome the limitations of traditional therapeutics. In this review, we aim to systematically explore how small molecules modulate PTMs. We discuss the direct targeting of enzymes involved in PTM pathways, the modulation of substrate proteins, and the disruption of protein-enzyme interactions that govern PTM processes. Additionally, we delve into the emerging strategy of employing multifunctional molecules to precisely regulate the modification levels of proteins of interest (POIs). Furthermore, we examine the specific characteristics of these molecules, evaluating their therapeutic benefits and potential drawbacks. The goal of this review is to provide a comprehensive understanding of PTM-targeting strategies and their potential for personalized medicine, offering a forward-looking perspective on the evolution of precision therapeutics.

Impact of the clinically approved BTK inhibitors on the conformation of full-length BTK and analysis of the development of BTK resistance mutations in chronic lymphocytic leukemia

Inhibition of Bruton's tyrosine kinase (BTK) has proven to be highly effective in the treatment of B-cell malignancies such as chronic lymphocytic leukemia (CLL), autoimmune disorders, and multiple sclerosis. Since the approval of the first BTK inhibitor (BTKi), Ibrutinib, several other inhibitors including Acalabrutinib, Zanubrutinib, Tirabrutinib, and Pirtobrutinib have been clinically approved. All are covalent active site inhibitors, with the exception of the reversible active site inhibitor Pirtobrutinib. The large number of available inhibitors for the BTK target creates challenges in choosing the most appropriate BTKi for treatment. Side-by-side comparisons in CLL have shown that different inhibitors may differ in their treatment efficacy. Moreover, the nature of the resistance mutations that arise in patients appears to depend on the specific BTKi administered. We have previously shown that Ibrutinib binding to the kinase active site causes unanticipated long-range effects on the global conformation of BTK (Joseph et al., 2020). Here, we show that binding of each of the five approved BTKi to the kinase active site brings about distinct allosteric changes that alter the conformational equilibrium of full-length BTK. Additionally, we provide an explanation for the resistance mutation bias observed in CLL patients treated with different BTKi and characterize the mechanism of action of two common resistance mutations: BTK T474I and L528W.

Modulating Phosphorylation by Proximity-Inducing Modalities for Cancer Therapy

Abnormal phosphorylation of proteins can lead to various diseases, particularly cancer. Therefore, the development of small molecules for precise regulation of protein phosphorylation holds great potential for drug design. While the traditional kinase/phosphatase small-molecule modulators have shown some success, achieving precise phosphorylation regulation has proven to be challenging. The emergence of heterobifunctional molecules, such as phosphorylation-inducing chimeric small molecules (PHICSs) and phosphatase recruiting chimeras (PHORCs), with proximity-inducing modalities is expected to lead to a breakthrough by specifically recruiting kinase or phosphatase to the protein of interest. Herein, we summarize the drug targets with aberrant phosphorylation in cancer and underscore the potential of correcting phosphorylation in cancer therapy. Through reported cases of heterobifunctional molecules targeting phosphorylation regulation, we highlight the current design strategies and features of these molecules. We also provide a systematic elaboration of the link between aberrantly phosphorylated targets and cancer as well as the existing challenges and future research directions for developing heterobifunctional molecular drugs for phosphorylation regulation.

Probing the Protein Kinases' Cysteinome by Covalent Fragments

Protein kinases are important drug targets, yet specific inhibitors have been developed for only a fraction of the more than 500 human kinases. A major challenge in designing inhibitors for highly related kinases is selectivity. Unlike their non-covalent counterparts, covalent inhibitors offer the advantage of selectively targeting structurally similar kinases by modifying specific protein side chains, particularly non-conserved cysteines. Previously, covalent fragment screens yielded potent and selective inhibitors for individual kinases such as ERK1/2 but have not been applied to the broader kinome. Furthermore, many of the accessible cysteine positions have not been addressed so far. Here, we outline a generalizable approach to sample ATP-site cysteines with fragment-like covalent inhibitors. We present the development of a kinase-focused covalent fragment library and its systematic screening against a curated selection of 47 kinases, with 60 active site-proximal cysteines using LC/MS and differential scanning fluorimetry (DSF) assays, followed by hit validation through various complementary techniques. Our findings expand the repertoire of targetable cysteines within protein kinases, provide insight into unique binding modes identified from crystal structures and deliver isoform-specific hits with promising profiles as starting points for the development of highly potent and selective covalent inhibitors.

Exploring Extended Warheads toward Developing Cysteine-Targeted Covalent Kinase Inhibitors

In designing covalent kinase inhibitors (CKIs), the inclusion of electrophiles as attacking warheads demands careful choreography, ensuring not only their presence on the scaffold moiety but also their precise interaction with nucleophiles in the binding sites. Given the limited number of known electrophiles, exploring adjacent chemical space to broaden the palette of available electrophiles capable of covalent inhibition is desirable. Here, we systematically analyze the characteristics of warheads and the corresponding adjacent fragments for use in CKI design. We first collect all the released cysteine-targeted CKIs from multiple databases and create one CKI data set containing 16,961 kinase-inhibitor data points from 12,381 unique CKIs covering 146 kinases with accessible cysteines in their binding pockets. Then, we analyze this data set, focusing on the extended warheads (i.e., warheads + adjacent fragments)─including 30 common warheads and 1344 unique adjacent fragments. In so doing, we provide structural insights and delineate chemical properties and patterns in these extended warheads. Notably, we highlight the popular patterns observed within reversible CKIs for the popular warheads cyanoacrylamide and aldehyde. This study provides medicinal chemists with novel insights into extended warheads and a comprehensive source of adjacent fragments, thus guiding the design, synthesis, and optimization of CKIs.

The polypharmacy combination of the BCL-2 inhibitor venetoclax (VEN) and the FLT3 inhibitor gilteritinib (GIL) is more active in acute myeloid leukemia cells than novel polypharmacologic BCL-2/FLT3 VEN-GIL hybrid single-molecule inhibitors

Current treatments for acute myeloid leukemias (AMLs) cure fewer than 30 % of patients. This low efficacy is due, in part, to the inter-patient and intra-patient heterogeneity of AMLs; accordingly, all current AML treatment regimens involve drug combinations (polypharmacy). A recently-completed clinical trial in relapsed/refractory AML using a combination of two newer targeted antileukemics, the BCL-2 inhibitor venetoclax (VEN) plus the FLT3 inhibitor gilteritinib (GIL), yielded highly promising results for this two-drug polypharmacy combination. Polypharmacology - wherein a single drug molecule that inhibits two or more biological targets is created - has been proposed to offer superior therapeutic results, as compared to the corresponding polypharmacy approach. Herein, we designed and synthesized several polypharmacologic dual BCL-2/FLT3 hybrid single-molecule inhibitors by tethering VEN to GIL, through their solvent-exposed domains. While the in vitro antileukemic activity of the two-drug VEN + GIL polypharmacy combination proved superior to our focused library of VEN-GIL hybrids, alternative grafting points on GIL may yield improved results for future hybrid compounds.

Aptamer and N-Degron Ensemble (AptaGron) as a Target Protein Degradation Strategy

Target protein degradation (TPD) is a promising strategy for catalytic downregulation of target proteins through various cellular proteolytic pathways. Despite numerous reports on novel TPD mechanisms, the discovery of target-specific ligands remains a major challenge. Unlike small-molecule ligands, aptamers offer significant advantages, owing to their SELEX-based systematic screening method. To fully utilize aptamers for TPD, we designed an aptamer and N-degron ensemble system (AptaGron) that circumvents the need for synthetic conjugations between aptamers and proteolysis-recruiting units. In our AptaGron system, a peptide nucleic acid containing an N-degron peptide and a sequence complementary to the aptamer was designed. Using this system, we successfully degraded three target proteins, tau, nucleolin, and eukaryotic initiation factor 4E (eIF4E), which lack specific small-molecule ligands. Our results highlight the potential of the AptaGron approach as a robust platform for targeted protein degradation.

In silico design, modelling and molecular mechanisms of Axl receptor tyrosine kinase inhibitors

A kinase domain from receptor tyrosine kinases (RTKs) regulate intracellular communications to control cellular metabolic activities. Some of the malignant cells have upregulated and overexpressed RTKs which are responsible for angiogenesis in many metastatic cancers. Axl RTK is present in most of the eukaryotic cells and all metastatic cancer cells have overexpressed Axl tyrosine kinase to trigger uncontrolled growth and angiogenesis in the malignant cells. The upregulated kinases can be inhibited in its active and inactive states in the presence of small organic molecule inhibitors. Kinase inhibitors have been discovered to arrest the signal transduction pathways in the malignant cells as a therapy and cure for cancer. In this work, small molecule databases were screened using the pharmacophore features of a macrocyclic inhibitor (7YS) taken as reference from the crystal structure of Axl kinase domain. Pharmacophore based virtual screening of small molecule libraries (CHEMBL32, ChemDiv, Chemspace, Mcule, MolProt, PubChem and Zinc), followed by molecular docking, molecular dynamics simulations, binding energies from MM-PBSA calculations and trajectory analysis as principal component analysis were studied. The molecular basis for the binding of macrocyclic inhibitor, ATP and seven screened hit molecules bound at Axl kinase domain in two different modes at catalytic and regulatory sites was analyzed.

Supramolecular Host:Guest Arrays Site-Selectively Recognize Peptide Phosphorylation and Kinase Activity

A synergistic combination of cationic styrylpyridinium dyes and water-soluble deep cavitand hosts can recognize phosphorylated peptides with both site- and state-selectivity. Two mechanisms of interaction are dominant: either the cationic dye interacts with Trp residues in the peptide or the host:dye pair forms a heteroternary complex with the peptide, driven by both strong dye-peptide and cavitand-peptide binding (Kd values up to 4 μM). The presence of multiple recognition mechanisms results in varying fluorescence responses dependent on the phosphorylation state and position, eliminating the need for covalent modification of the peptide target. Differential sensing aided by machine learning algorithms permits full discrimination between differently positioned serine phosphorylations with a minimal 3-component array. The array is fully functional in the presence of protein kinase A (PKA) and its required cofactors and capable of site-selective monitoring of serine phosphorylation at the privileged PKA motif, in the presence of serine residues that do not undergo reaction, illustrating the potential of the system in kinase-based drug screening.

Tilting the Scales toward EGFR Mutant Selectivity: Expanding the Scope of Bivalent "Type V" Kinase Inhibitors

Binding multiple sites within proteins with bivalent compounds is a strategy for developing uniquely active agents. A new class of dual-site inhibitors has emerged targeting the epidermal growth factor receptor (EGFR) anchored to both the orthosteric (ATP) and allosteric sites. Despite proof-of-concept successes, enabling selectivity against oncogenic activating mutations has not been achieved and classifying these inhibitors among kinase inhibitors remains underexplored. This study investigates the structure-activity relationships, binding modes, and biological activity of ATP-allosteric bivalent inhibitors (AABIs). We find that AABIs selectively inhibit drug-resistant EGFR mutants (L858R/T790M and L858R/T790M/C797S) by anchoring a methyl isoindolinone moiety along the αC-helix channel of the allosteric site. In contrast, related Type I1/2 inhibitors target wild-type EGFR but are less effective against resistant mutants. This shift in selectivity demonstrates that mutant-selective AABIs classify as "Type V" bivalent inhibitors.

Compromised CDK12 activity causes dependency on the high activity of O-GlcNAc transferase

O-GlcNAc transferase (OGT) coordinates with regulators of transcription, including cyclin-dependent kinase 12 (CDK12), the major transcription elongation kinase. Here, we use inhibitor- and knockdown-based strategies to show that co-targeting of OGT and CDK12 is toxic to prostate cancer cells. OGT catalyzes all nucleocytoplasmic O-GlcNAcylation and due to its essentiality in higher eukaryotes, it is not an ideal drug target. Our glycoproteomics-data revealed that short-term CDK12 inhibition induces hyper-O-GlcNAcylation of the spliceosome-machinery in different models of prostate cancer. By integrating our glycoproteomics-, gene essentiality- and clinical-data from CDK12 mutant prostate cancer patients, we identify the non-essential serine-arginine protein kinase 1 (SRPK1) as a synthetic lethal partner with CDK12-inactivation. Both normal and cancer cells become highly sensitive against inhibitors of OGT and SRPK1 if they have lowered activity of CDK12. Inactivating mutations in CDK12 are enriched in aggressive prostate cancer, and we propose that these patients would benefit from therapy targeting the spliceosome.

Benchmarking Cross-Docking Strategies in Kinase Drug Discovery

In recent years, machine learning has transformed many aspects of the drug discovery process, including small molecule design, for which the prediction of bioactivity is an integral part. Leveraging structural information about the interactions between a small molecule and its protein target has great potential for downstream machine learning scoring approaches but is fundamentally limited by the accuracy with which protein-ligand complex structures can be predicted in a reliable and automated fashion. With the goal of finding practical approaches to generating useful kinase-inhibitor complex geometries for downstream machine learning scoring approaches, we present a kinase-centric docking benchmark assessing the performance of different classes of docking and pose selection strategies to assess how well experimentally observed binding modes are recapitulated in a realistic cross-docking scenario. The assembled benchmark data set focuses on the well-studied protein kinase family and comprises a subset of 589 protein structures cocrystallized with 423 ATP-competitive ligands. We find that the docking methods biased by the cocrystallized ligand, utilizing shape overlap with or without maximum common substructure matching, are more successful in recovering binding poses than standard physics-based docking alone. Also, docking into multiple structures significantly increases the chance of generating a low root-mean-square deviation (RMSD) docking pose. Docking utilizing an approach that combines all three methods (Posit) into structures with the most similar cocrystallized ligands according to the maximum common substructure (MCS) proved to be the most efficient way to reproduce binding poses, achieving a success rate of 70.4% across all included systems. The studied docking and pose selection strategies, which utilize the OpenEye Toolkits, were implemented into pipelines of the KinoML framework, allowing automated and reliable protein-ligand complex generation for future downstream machine learning tasks. Although focused on protein kinases, we believe that the general findings can also be transferred to other protein families.

Chemotherapeutic potential of radotinib against blood and solid tumors: A beacon of hope in drug repurposing

Tyrosine kinase inhibitors (TKIs) represent a pivotal class of targeted therapies in oncology, with multiple generations developed to address diverse molecular targets. Imatinib is the first TKI developed to target the BCR-ABL1 chimeric protein, which is the key driver oncogene implicated in Philadelphia chromosome-positive chronic myeloid leukemia (CML). Several second-generation tyrosine kinase inhibitors (2GTKIs), such as nilotinib, dasatinib, bosutinib, and radotinib (RTB), followed the groundbreaking introduction of imatinib. RTB occupies the unique position of being the least explored member of this class. While nilotinib, dasatinib, and bosutinib have garnered significant attention and extensive research focus, RTB remains relatively uncharted in comparison to its counterparts. Fundamental drug characteristics, such as the pharmacokinetic and pharmacodynamic properties of RTB, remain unavailable in existing sources. Compared to other 2GTKIs, RTB has been less utilized in combinatorial drug studies, and no investigations have been reported on its effects on solid tumors to date. However, the effects of RTB have been studied in acute myeloid leukemia (AML), multiple myeloma (MM), Parkinson's disease, and idiopathic pulmonary fibrosis (IPF). Although RTB has been investigated in some conditions, these studies are still in their preliminary stages and are comparatively lesser than studies on other 2GTKIs. This review is the first attempt that extensively presents a compilation of data on RTB and describes its therapeutic potential against blood and solid tumors. Further investigations on RTB could expand its chemotherapeutic usage in various solid tumors and enhance the possibility of drug repurposing in cancer therapy.

OST Catalytic Subunit Redundancy Enables Therapeutic Targeting of N-Glycosylation

Protein asparagine (N)-glycosylation, which promotes folding and trafficking of cell surface receptors such as the EGFR, has not been considered a viable target in oncology due to the essential and non-redundant enzymatic activities required for glycan synthesis and transfer. In mammals an exception to this rule is the presence of the oligosaccharyltransferase (OST) catalytic subunit paralogs, STT3A and STT3B. Here we delineate the chemical biology of OST inhibitors and develop an approach for limited inhibition of N-glycosylation optimized for downstream effects on EGFR. Small molecules with enhanced pharmacokinetic properties and preferences for STT3A or STT3B were synthesized, characterized in vitro, and advanced to in vivo testing. The lead from this series, NGI-189, causes tumor regression or growth delay of patient derived and TKI resistant EGFR-mutant lung cancer xenografts without toxicity. Together these results suggest that bioavailable OST inhibitors can be developed as therapeutic agents for oncology.

Mapping kinase domain resistance mechanisms for the MET receptor tyrosine kinase via deep mutational scanning

Mutations in the kinase and juxtamembrane domains of the MET Receptor Tyrosine Kinase are responsible for oncogenesis in various cancers and can drive resistance to MET-directed treatments. Determining the most effective inhibitor for each mutational profile is a major challenge for MET-driven cancer treatment in precision medicine. Here, we used a deep mutational scan (DMS) of ~5,764 MET kinase domain variants to profile the growth of each mutation against a panel of 11 inhibitors that are reported to target the MET kinase domain. We validate previously identified resistance mutations, pinpoint common resistance sites across type I, type II, and type I ½ inhibitors, unveil unique resistance and sensitizing mutations for each inhibitor, and verify non-cross-resistant sensitivities for type I and type II inhibitor pairs. We augment a protein language model with biophysical and chemical features to improve the predictive performance for inhibitor-treated datasets. Together, our study demonstrates a pooled experimental pipeline for identifying resistance mutations, provides a reference dictionary for mutations that are sensitized to specific therapies, and offers insights for future drug development.

Rationally designed febuxostat-based hydroxamic acid and its pH-Responsive nanoformulation elicits anti-tumor activity

Attempts to furnish antitumor structural templates that can prevent the occurrence of drug-induced hyperuricemia spurred us to generate xanthine oxidase inhibitor-based hydroxamic acids and anilides. Specifically, the design strategy involved the insertion of febuxostat (xanthine oxidase inhibitor) as a surface recognition part of the HDAC inhibitor pharmacophore model. Investigation outcomes revealed that hydroxamic acid 4 elicited remarkable antileukemic effects mediated via HDAC isoform inhibition. Delightfully, the adduct retained xanthine oxidase inhibitory activity, though xanthine oxidase inhibition was not the underlying mechanism of its cell growth inhibitory effects. Also, compound 4 demonstrated significant in-vivo anti-hyperuricemic (PO-induced hyperuricemia model) and antitumor activity in an HL-60 xenograft mice model. Compound 4 was conjugated with poly (ethylene glycol) poly(aspartic acid) block copolymer to furnish pH-responsive nanoparticles (NPs) in pursuit of circumventing its cytotoxicity towards the normal cell lines. SEM analysis revealed that NPs had uniform size distributions, while TEM analysis ascertained the spherical shape of NPs, indicating their ability to undergo self-assembly. HDAC inhibitor 4 was liberated from the matrix due to the polymeric nanoformulation's pH-responsiveness, and the NPs demonstrated selective cancer cell targeting ability.

Pericytes Modulate Third-Generation Tyrosine Kinase Inhibitor Sensitivity in EGFR-Mutated Lung Cancer Cells Through IL32-β5-Integrin Paracrine Signaling

EGFR-mutated lung cancer patients sometimes display restricted responses to third-generation tyrosine kinase inhibitors (TKIs), potentially attributable to undervalued input from stromal cells, notably pericytes (PCs). The study shows that PCs isolated from EGFR-mutated patients have a unique secretome profile, notably secreting IL32 and affecting signaling pathways and biological processes linked to TKI sensitivity. Clinical evidence, supported by single-cell RNA sequencing and multiplex immunostaining of tumor tissues, confirms the presence of IL32-expressing pericytes closely interacting with β5-integrin-expressing cancer cells in EGFR-mutated patients, impacting therapeutic response and prognosis. Co-culture and conditioned medium experiments demonstrate that PCs reduce TKI effectiveness in EGFR-mutated cancer cells, a reversible phenomenon through silencing IL32 expression in PCs or depleting the IL32 receptor β5-integrin on cancer cells, thereby restoring cancer cell sensitivity. Mechanistically, it is shown that YY1 signaling upregulates IL32 secretion in PCs, subsequently activating the β5-integrin-Src-Akt pathway in EGFR-mutated cancer cells, contributing to their TKI sensitivity. In animal studies, co-injection of cancer cells with PCs compromises TKI effectiveness, independently of blood vessel functions, while inhibition of β5-integrin restores tumor cell sensitivity. Overall, the findings highlight direct crosstalk between cancer cells and pericytes, impacting TKI sensitivity via IL32-β5-integrin paracrine signaling, proposing an enhanced therapeutic approach for EGFR-mutated patients.

Single-nucleus RNA-seq dissection of choroid plexus tumor cell heterogeneity

The genomic, genetic and cellular events regulating the onset, growth and survival of rare, choroid plexus neoplasms remain poorly understood. Here, we examine the heterogeneity of human choroid plexus tumors by single-nucleus transcriptome analysis of 23,906 cells from four disease-free choroid plexus and eleven choroid plexus tumors. The resulting expression atlas profiles cellular and transcriptional diversity, copy number alterations, and cell-cell interaction networks in normal and cancerous choroid plexus. In choroid plexus tumor epithelial cells, we observe transcriptional changes that correlate with genome-wide methylation profiles. We further characterize tumor type-specific stromal microenvironments that include altered macrophage and mesenchymal cell states, as well as changes in extracellular matrix components. This first single-cell dataset resource from such scarce samples should be valuable for divising therapies against these little-studied neoplasms.

Serum/glucocorticoid regulated kinase 1 (SGK1) in neurological disorders: pain or gain

Serum/Glucocorticoid Regulated Kinase 1 (SGK1), a serine/threonine kinase, is ubiquitous across a wide range of tissues, orchestrating numerous signaling pathways and associated with various human diseases. SGK1 has been extensively explored in diverse types of immune and inflammatory diseases, cardiovascular disorders, as well as cancer metastasis. These studies link SGK1 to cellular proliferation, survival, metabolism, membrane transport, and drug resistance. Recently, increasing research has focused on SGK1's role in neurological disorders, including a variety of neurodegenerative diseases (e.g., Alzheimer's disease, Huntington's disease and Parkinson's disease), brain injuries (e.g., cerebral ischemia and traumatic brain injury), psychiatric conditions (e.g., depression and drug addiction). SGK1 is emerging as an increasingly compelling therapeutic target across the spectrum of neurological disorders, supported by the availability of several effective agents. However, the conclusions of many studies observing the prevalence and function of SGK1 in neurological disorders are contradictory, necessitating a review of the SGK1 research within neurological disorders. Herein, we review recent literature on SGK1's primary functions within the nervous system and its impacts within different neurological disorders. We summarize significant findings, identify research gaps, and outline possible future research directions based on the current understanding of SGK1 to help further progress the understanding and treatment of neurological disorders.

9,10-Dioxoanthracenyldithiocarbamates effectively inhibit the proliferation of non-small cell lung cancer by targeting multiple protein tyrosine kinases

Anthraquinones have attracted considerable interest in the realm of cancer treatment owing to their potent anticancer properties. This study evaluates the potential of a series of new anthraquinone derivatives as anticancer agents for non-small-cell lung cancer (NSCLC). The compounds were subjected to a range of tests to assess their cytotoxic and apoptotic properties, ability to inhibit colony formation, pro-DNA damage functions, and capacity to inhibit the activity of tyrosine kinase proteins (PTKs). Based on the research findings, it has been discovered that most active derivatives (i84, i87, and i90) possess a substantial capability to impede the viability of NSCLC while having mostly a negligible effect on the human kidney cell line. Moreover, the anthraquinones displayed pro-apoptotic and genotoxic attributes while blocking the phosphorylation of multiple PTKs. Collectively, our findings indicate that these derivatives may demonstrate promising potential as effective anticancer agents for lung cancer treatment.

Biopharmaceutical and pharmacokinetic attributes to drive nanoformulations of small molecule tyrosine kinase inhibitors

Buoyed by the discovery of small-molecule tyrosine kinase inhibitors (smTKIs), significant impact has been made in cancer chemotherapeutics. However, some of these agents still encounter off-target toxicities and suboptimal efficacies due to their inferior biopharmaceutical and/or pharmacokinetic properties. Almost all of these molecules exhibit significant inter- and intra-patient variations in plasma concentration-time profiles. Thus, therapeutic drug monitoring, dose adjustments and precision medicine are being contemplated by clinicians. Complex formulations or nanoformulation-based drug delivery systems offer promising approaches to provide drug encapsulation or spatiotemporal control over the release, overcoming the biopharmaceutical and pharmacokinetic limitations and improving the therapeutic outcomes. In this context, the present review comprehensively tabulates and critically analyzes all the relevant properties (T1/2, solubility, pKa, therapeutic index, IC50, metabolism etc.) of the approved smTKIs. A detailed appraisal is conducted on the advancements made in complex formulations of smTKIs, with a focus on strategies to enhance their pharmacokinetic profile, tumor targeting ability, and therapeutic efficacy. Various nanocarrier platforms, have been discussed, highlighting their unique features and potential applications in cancer therapy. Nanoformulations have been shown to improve area under the curve and peak plasma concentration, and reduce dosing frequency for several smTKIs in animal models. It is inferred that extensive efforts will be made in developing complex formulations of smTKIs in near future. There, the review concludes with key recommendations for the developing of smTKIs to facilitate early clinical translation.

Opportunities for Therapeutic Modulation of O-GlcNAc

O-Linked β-N-acetylglucosamine (O-GlcNAc) is an essential, dynamic monosaccharide post-translational modification (PTM) found on serine and threonine residues of thousands of nucleocytoplasmic proteins. The installation and removal of O-GlcNAc is controlled by a single pair of enzymes, O-GlcNAc transferase (OGT) and O-GlcNAcase (OGA), respectively. Since its discovery four decades ago, O-GlcNAc has been found on diverse classes of proteins, playing important functional roles in many cellular processes. Dysregulation of O-GlcNAc homeostasis has been implicated in the pathogenesis of disease, including neurodegeneration, X-linked intellectual disability (XLID), cancer, diabetes, and immunological disorders. These foundational studies of O-GlcNAc in disease biology have motivated efforts to target O-GlcNAc therapeutically, with multiple clinical candidates under evaluation. In this review, we describe the characterization and biochemistry of OGT and OGA, cellular O-GlcNAc regulation, development of OGT and OGA inhibitors, O-GlcNAc in pathophysiology, clinical progress of O-GlcNAc modulators, and emerging opportunities for targeting O-GlcNAc. This comprehensive resource should motivate further study into O-GlcNAc function and inspire strategies for therapeutic modulation of O-GlcNAc.

diaPASEF-Powered Chemoproteomics Enables Deep Kinome Interaction Profiling

Protein-protein interactions (PPIs) underlie most biological functions. Devastating human conditions like cancers, neurological disorders, and infections, hijack PPI networks to initiate disease, and to drive disease progression. Understanding precisely how diseases remodel PPI networks can, therefore, help clarify disease mechanisms and identify therapeutic targets. Protein kinases control most cellular processes through protein phosphorylation. The 518 human kinases, known as the kinome, are frequently dysregulated in disease and highly druggable with ATP-competitive inhibitors. Kinase activity, localization, and substrate recognition are regulated by dynamic PPI networks composed of scaffolding and adapter proteins, other signaling enzymes like small GTPases and E3 ligases, and phospho-substrates. Accordingly, mapping kinase PPI networks can help determine kinome activation states, and, in turn, cellular activation states; this information can be used for studying kinase-mediated cell signaling, and for prioritizing kinases for drug discovery. Previously, we have developed a high-throughput method for kinome PPI mapping based on mass spectrometry (MS)-based chemoproteomics that we named kinobead competition and correlation analysis (kiCCA). Here, we introduce 2 nd generation (gen) kiCCA which utilizes data-independent acquisition (dia) with parallel accumulation serial fragmentation (PASEF) MS and a re-designed CCA algorithm with improved selection criteria and the ability to predict multiple kinase interaction partners of the same proteins. Using neuroblastoma cell line models of the noradrenergic-mesenchymal transition (NMT), we demonstrate that 2 nd gen kiCCA (1) identified 6.1-times more kinase PPIs in native cell extracts compared to our 1 st gen approach, (2) determined kinase-mediated signaling pathways that underly the neuroblastoma NMT, and (3) accurately predicted pharmacological targets for manipulating NMT states. Our 2 nd gen kiCCA method is broadly useful for cell signaling research and kinase drug discovery.

Protein kinase A and local signaling in cancer

Protein kinase A (PKA) is a basophilic kinase implicated in the modulation of many cell-signaling and physiological processes. PKA also contributes to cancer-relevant events such as growth factor action, cell cycle control, cell migration and tumor metabolism. Germline and somatic mutations in PKA, gene amplifications, and chromosome rearrangements that encode kinase fusions, are linked to a growing number of malignant neoplasms. Mislocalization of PKA by exclusion from A-Kinase Anchoring Protein (AKAP) signaling islands further underlies cancer progression. This article highlights the influence of AKAP signaling and local kinase action in selected hallmarks of cancer. We also feature the utility of kinase inhibitor drugs as frontline and future anti-cancer therapies.

Parallel phosphoproteomics and metabolomics map the global metabolic tyrosine phosphoproteome

Tyrosine phosphorylation of metabolic enzymes is an evolutionarily conserved posttranslational modification that facilitates rapid and reversible modulation of enzyme activity, localization, or function. Despite the high abundance of tyrosine phosphorylation events detected on metabolic enzymes in high-throughput mass spectrometry-based studies, functional characterization of tyrosine phosphorylation sites has been limited to a subset of enzymes. Since tyrosine phosphorylation is dysregulated across human diseases, including cancer, understanding the consequences of metabolic enzyme tyrosine phosphorylation events is critical for informing disease biology and therapeutic interventions. To globally identify metabolic enzyme tyrosine phosphorylation events and simultaneously assign functional significance to these sites, we performed parallel phosphoproteomics and polar metabolomics in nontumorigenic mammary epithelial cells (MCF10A) stimulated with epidermal growth factor (EGF) in the absence or presence of the EGF receptor inhibitor erlotinib. We performed an integrated analysis of the phosphoproteomic and metabolomic datasets to identify tyrosine phosphorylation sites on metabolic enzymes with functional consequences. We identified two previously characterized (pyruvate kinase muscle isozyme, phosphoglycerate mutase 1) and two uncharacterized (glutathione S-transferase Pi 1, glutamate dehydrogenase 1) tyrosine phosphorylation sites on metabolic enzymes with purported functions based on metabolomic analyses. We validated these hits using a doxycycline-inducible CRISPR interference system in MCF10A cells, in which target metabolic enzymes were depleted with simultaneous reexpression of wild-type, phosphomutant, or phosphomimetic isoforms. Together, these data provide a framework for identification, prioritization, and characterization of tyrosine phosphorylation sites on metabolic enzymes with functional significance.

Discovery of novel, orally bioavailable phenylacetamide derivatives as multikinase inhibitors and in vivo efficacy study in hepatocellular carcinoma animal models

Hepatocellular carcinoma (HCC) is considered as one of the leading causes of death in liver disease patients. Several signal transduction pathways are involved in HCC pathogenesis. Multikinase inhibitors (MKIs) show beneficial effects for HCC and the FDA approved a few MKIs including sorafenib, lenvatinib for HCC treatments. Here, a novel series of phenylacetamide derivatives were designed, synthesized and evaluated as multikinase inhibitors. Several compounds showed nanomolar IC50 values against FLT1, FLT3, FLT4, KDR, PDGFRα, PDGFRβ. The compounds were tested against human hepatocellular carcinoma (HCC), human colon adenocarcinoma and human gastric carcinoma cell lines. With favorable pharmacokinetics profiles, compound 12 and compound 14 were selected for in vivo efficacy studies in Hep3B mice models and demonstrated efficacious than sorafenib.

Design, Synthesis, and Biological Evaluation of 3-Amino-pyrazine-2-carboxamide Derivatives as Novel FGFR Inhibitors

FGFR has been considered a crucial oncogenic driver and promising target for cancer therapy. Herein, we reported the design and synthesis of 3-amino-N-(3,5-dihydroxyphenyl)-6-methylpyrazine-2-carboxamide derivatives as novel FGFR inhibitors. SAR exploration led to the identification of 18i as a pan-FGFR inhibitor with favorable in vitro activity against FGFR1-4. Moreover, 18i blocked the activation of FGFR and downstream signaling pathways at the submicromolar level and exhibited potent antitumor activity in multiple cancer cell lines with FGFR abnormalities. Molecular docking was performed to investigate the possible binding modes of 18i within the binding site of FGFR2. These results suggest that compound 18i is a promising candidate for further drug discovery.

DSTYK Inhibition Sensitizes NSCLC to Taxane-Based Chemotherapy

INTRODUCTION

Chemotherapy continues to be the standard treatment for patients noneligible for targeted or immune-based therapies; nevertheless, treatment resistance remains a major clinical challenge. We previously found that expression levels of DSTYK, a poorly explored dual serine/threonine and tyrosine kinase frequently amplified in cancer, identified patients with lung cancer exhibiting poor response to immune checkpoint inhibitors, and found that its inhibition sensitizes to immunotherapy. Seeking to explore the potential of DSTYK targeting in additional indications, we investigated the functional relevance and actionability of DSTYK in lung cancer chemoresistance.

METHODS

In silico analysis to study the differential sensitivity to paclitaxel, carboplatin, pemetrexed, and cisplatin drugs was performed using pan-cancer human cancer cell line DSTYK CN data downloaded from Depmap portal (https://depmap.org/portal/depmap/). Two cohorts of patients with lung cancer were used. An adjuvant cohort composed of patients with advanced IV-stage lung adenocarcinoma treated with carboplatin plus paclitaxel or carboplatin plus pemetrexed in the first line from VHIO; A neoadjuvant cohort including resectable stage IIIA or IIIB NSCLC tumor samples of patients from NADIM I and NADIM II clinical trials perioperative treated with nivolumab plus chemotherapy (carboplatin + paclitaxel). DSTYK CN was assessed by fluorescence in situ hybridization and quantitative reverse transcription-polymerase chain reaction. Proteomics and bioinformatic analyses were performed to study differentially expressed protein signatures. Functional in vitro experiments (adhesion, migration, and invasion) in both murine and human systems, and in vivo lung orthotopic, intracardiac, and intratibial xenograft and syngeneic models complete the study.

RESULTS

We show that DSTYK depletion specifically sensitizes lung cancer cells to taxane-based chemotherapy, particularly in combination with carboplatin. Mechanistically, DSTYK ablation remodels the cytoskeleton and impairs distant invasion and metastatic outgrowth in vivo. DSTYK downregulation sensitizes both primary and metastatic lung tumors to chemoimmunotherapy treatment leading to tumor regression in mouse models. Consistently, clinical data of patients with early and advanced lung cancer-in the neoadjuvant and adjuvant settings-show a strong correlation between DSTYK amplification and taxane resistance, underscoring the clinical significance of our findings to inform treatment decision-making.

CONCLUSIONS

Collectively, our data indicates that DSTYK amplification may be a predictor of resistance to taxane-based treatments and represents an actionable target for these patients.

The structures of protein kinase A in complex with CFTR: Mechanisms of phosphorylation and noncatalytic activation

Protein kinase A (PKA) is a key regulator of cellular functions by selectively phosphorylating numerous substrates, including ion channels, enzymes, and transcription factors. It has long served as a model system for understanding the eukaryotic kinases. Using cryoelectron microscopy, we present complex structures of the PKA catalytic subunit (PKA-C) bound to a full-length protein substrate, the cystic fibrosis transmembrane conductance regulator (CFTR)-an ion channel vital to human health. CFTR gating requires phosphorylation of its regulatory (R) domain. Unphosphorylated CFTR engages PKA-C at two locations, establishing two "catalytic stations" near to, but not directly involving, the R domain. This configuration, coupled with the conformational flexibility of the R domain, permits transient interactions of the eleven spatially separated phosphorylation sites. Furthermore, we determined two structures of the open-pore CFTR stabilized by PKA-C, providing a molecular basis to understand how PKA-C stimulates CFTR currents even in the absence of phosphorylation.

Hic-5 antisense oligonucleotide inhibits advanced hepatic fibrosis and steatosis in vivo

Background & Aims

Chronic liver diseases, including metabolic dysfunction-associated steatohepatitis (MASH), pose a significant global health burden. Progressive liver fibrosis can lead to severe outcomes; however, there is a lack of effective therapies targeting advanced fibrosis. Hydrogen peroxide-inducible clone-5 (Hic-5), an adaptor protein in focal adhesion, is critical for promoting liver fibrosis in hepatic stellate cells. This study investigated its clinical applicability by examining hepatic Hic-5 expression in human fibrotic tissues, exploring its association with MASH, and assessing the therapeutic potential of antisense oligonucleotides (ASOs) targeting Hic-5 in a MASH mouse model.

Methods

Hepatic Hic-5 expression in human fibrotic tissues underwent pathological image analysis and single-cell RNA sequencing. ASOs targeting Hic-5 were developed and tested using in vitro cell models. An in vivo MASH mouse model was used to evaluate the effects of anti-Hic-5 ASOs on advanced fibrosis and steatosis.

Results

Hepatic Hic-5 expression increased with the progression of fibrosis, particularly in advanced stages. Single-cell RNA sequencing revealed Hic-5 expression primarily in hepatic stellate cells. In MASH-associated fibrosis, Hic-5 expression correlated with the expression of fibrotic genes. In the MASH mouse model, hepatic Hic-5 expression increased with disease progression. Anti-Hic-5 ASOs effectively suppressed Hic-5 expression in vitro and attenuated advanced fibrosis and steatosis in vivo, indicating their therapeutic potential.

Conclusions

Hepatic Hic-5 expression is associated with advanced liver fibrosis and MASH. Anti-Hic-5 ASOs are promising therapeutic interventions for MASH accompanied by advanced fibrosis. These findings provide valuable insights into potential clinical treatments for advanced liver fibrosis.

Impact and implications

This study investigated the role of Hic-5 in liver fibrosis and steatohepatitis, highlighting its potential as a therapeutic target. We developed an antisense oligonucleotide (ASO) that was particularly transportable to the liver, and targeted Hic-5. Anti-Hic-5 ASO exhibited therapeutic efficacy for liver fibrosis and steatosis in vivo, indicating its therapeutic potential for liver fibrosis and steatosis. ASOs have already achieved dramatic therapeutic effects as approved nucleic acid drugs. Thus, anti-Hic-5 ASO is expected to lead the direct generation of seed compounds for the clinical development of drugs for liver fibrosis and steatosis.

Chem-CRISPR/dCas9FCPF: a platform for chemically induced epigenome editing

Epigenetic aberration is one of the major driving factors in human cancer, often leading to acquired resistance to chemotherapies. Various small molecule epigenetic modulators have been reported. Nonetheless, outcomes from animal models and clinical trials have underscored the substantial setbacks attributed to pronounced on- and off-target toxicities. To address these challenges, CRISPR/dCas9 technology is emerging as a potent tool for precise modulation of epigenetic mechanism. However, this technology involves co-expressing exogenous epigenetic modulator proteins, which presents technical challenges in preparation and delivery with potential undesirable side effects. Recently, our research demonstrated that Cas9 tagged with the Phe-Cys-Pro-Phe (FCPF)-peptide motif can be specifically targeted by perfluorobiphenyl (PFB) derivatives. Here, we integrated the FCPF-tag into dCas9 and established a chemically inducible platform for epigenome editing, called Chem-CRISPR/dCas9FCPF. We designed a series of chemical inhibitor-PFB conjugates targeting various epigenetic modulator proteins. Focusing on JQ1, a panBET inhibitor, we demonstrate that c-MYC-sgRNA-guided JQ1-PFB specifically inhibits BRD4 in close proximity to the c-MYC promoter/enhancer, thereby effectively repressing the intricate transcription networks orchestrated by c-MYC as compared with JQ1 alone. In conclusion, our Chem-CRISPR/dCas9FCPF platform significantly increased target specificity of chemical epigenetic inhibitors, offering a viable alternative to conventional fusion protein systems for epigenome editing.