Drug Development Research Articles

Utility of Biomarker-Informed Drug Interaction Evaluation in Drug Development and Regulatory Decision Making.

The measurement of endogenous biomarkers in plasma and urine before and after administration of an investigational drug in a clinical study may provide an early indication of its drug-drug interaction (DDI) potential via a specific pathway. In the first international harmonized guideline on drug interaction studies, the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) M12, endogenous biomarkers have been recognized as an emerging approach in the transporter- and enzyme-based DDI risk assessment. Clinical Pharmacology Roundtable Conference 2024 held at Pharmaceuticals and Medical Devices Agency (PMDA) brought together experts from regulatory agencies, academia, and industries to discuss potential advantages and challenges of the biomarkers approach in drug development and regulatory decision making. This meeting report facilitates stakeholders involved in drug development in better understanding the utility of biomarker approaches and promotes early implementation of biomarker-informed DDI evaluation in regulatory use.

Activating Methanol for Chemoselective Transfer Hydrogenation of Chalcones Using an SNS-Ruthenium Complex

AbstractMethanol is gaining popularity as a transfer-hydrogenating agent in catalytic reduction reactions because of its bulk-scale production and inexpensive nature. Current research interests include the utilization of methanol as a safe and sustainable hydrogen source for chemical synthesis and drug development. In particular, the chemoselective reduction of α,β-unsaturated ketones is of great interest because of their prevalence in many natural products. We investigated the potential application of acridine-derived SNS-Ru pincer complexes in methanol activation for chemoselective reduction of chalcones. Our developed catalytic system showed broad substrate tolerance, including substrates containing reducible functional groups. Control experiments and postsynthetic applications are also highlighted.

Then and Now in Eukaryotic DNA Methylation

Since the mid-1970s, increasingly innovative methods to detect DNA methylation provided detailed information about its distribution, functions, and dynamics. As a result, new concepts were formulated and older ones were revised, transforming our understanding of the associated biology and catalyzing unprecedented advances in biomedical research, drug development, anthropology, and evolutionary biology. In this review, we discuss a few of the most notable advances, which are intimately intertwined with the study of DNA methylation, with a particular emphasis on the past three decades. Examples of these strides include elucidating the intricacies of 5-mC oxidation, which are at the core of the reversibility of this epigenetic modification; the 3D structural characterization of eukaryotic DNA methyltransferases, which offered insights into the mechanisms of several disease-associated mutations; a more in-depth understanding of DNA methylation in development and disease; the possibility to learn about the biology of extinct species; the development of epigenetic clocks and their use to interrogate aging and disease; and the emergence of epigenetic biomarkers and therapies.

Periodic Flows in Microfluidics.

Microfluidics, the science and technology of manipulating fluids in microscale channels, offers numerous advantages, such as low energy consumption, compact device size, precise control, fast reaction, and enhanced portability. These benefits have led to applications in biomedical assays, disease diagnostics, drug discovery, neuroscience, and so on. Fluid flow within microfluidic channels is typically in the laminar flow region, which is characterized by low Reynolds numbers but brings the challenge of efficient mixing of fluids. Periodic flows are time-dependent fluid flows, featuring repetitive patterns that can significantly improve fluid mixing and extend the effective length of microchannels for submicron and nanoparticle manipulation. Besides, periodic flow is crucial in organ-on-a-chip (OoC) for accurately modeling physiological processes, advancing disease understanding, drug development, and personalized medicine. Various techniques for generating periodic flows have been reported, including syringe pumps, peristalsis, and actuation based on electric, magnetic, acoustic, mechanical, pneumatic, and fluidic forces, yet comprehensive reviews on this topic remain limited. This paper aims to provide a comprehensive review of periodic flows in microfluidics, from fundamental mechanisms to generation techniques and applications. The challenges and future perspectives are also discussed to exploit the potential of periodic flows in microfluidics.

Using Artificial Intelligence to Advance the Research and Development of Orphan Drugs

While artificial intelligence has successful and innovative applications in common medicine, could its application facilitate research on rare diseases? This study explores the application of artificial intelligence (AI) in orphan drug research, focusing on how AI can address three major barriers: high financial risk, development complexity, and low trialability. This paper begins with an overview of orphan drug development and AI applications, defining key concepts and providing a background on the regulatory framework of and AI’s role in medical research. Next, it examines how AI can lower financial risks by streamlining drug discovery and development processes, analyzing complex data, and predicting outcomes to improve our understanding of rare diseases. This study then explores how AI can enhance clinical trials through simulations and virtual trials, compensating for the limited patient populations available for rare disease research. Finally, it discusses the broader implications of integrating AI in orphan drug development, emphasizing the potential for AI to accelerate drug discovery and improve treatment success rates, and highlights the need for ongoing innovation and regulatory support to maximize the benefits of AI-driven research in healthcare. Based on those results, we discuss the implications for traditional and AI-powered business in the drug industry.

A Pharmacological Overview and Recent Patent of Triazine Scaffold in Drug Development: A Review

<p>The triazine moiety holds a special and very important position in the field of medicinal chemistry owing to its enormous biological and pharmacological potential. Over eras, triazine scaffolds have been investigated for synthesizing novel molecules that may be used for the treatment of different types of pathological conditions, such as infections, cancer, inflammation etc. A vast number of lead molecules have been established from the triazine moiety. The triazine fused with numerous heterocyclic rings, such as pyrrole, benzimidazole, indole, imidazole, carbazole, etc., have formed various bicyclic with pharmacological actions. The triazines display a wide range of activities, and synthesizing various marketable medicines that hold triazine moiety has made the attention of chemists worldwide grow over the years in the moiety. In this review article, the commercially available compound containing triazine has been presented, and an attempt has been made to collect the works reported, mostly in the past decade, by numerous scientists, related to the structural differences amongst the triazine analogues giving antitumor, and antimicrobial and other activities. </p><p> The objective of this review article was to outline the current information on triazines and their derivatives with respect to their biological potential and various pharmacological activities. </p><p> The summary of this review article would be helpful and describe the function and activity of the moiety to bring up-to-date the scientists working in the direction of designing and synthesising novel lead molecules for the treatment of different types of disease with the current molecules that have been synthesized from the triazine scaffold.</p>

EpiScan: accurate high-throughput mapping of antibody-specific epitopes using sequence information

The identification of antibody-specific epitopes on virus proteins is crucial for vaccine development and drug design. Nonetheless, traditional wet-lab approaches for the identification of epitopes are both costly and labor-intensive, underscoring the need for the development of efficient and cost-effective computational tools. Here, EpiScan, an attention-based deep learning framework for predicting antibody-specific epitopes, is presented. EpiScan adopts a multi-input and single-output strategy by designing independent blocks for different parts of antibodies, including variable heavy chain (VH), variable light chain (VL), complementary determining regions (CDRs), and framework regions (FRs). The block predictions are weighted and integrated for the prediction of potential epitopes. Using multiple experimental data samples, we show that EpiScan, which only uses antibody sequence information, can accurately map epitopes on specific antigen structures. The antibody-specific epitopes on the receptor binding domain (RBD) of SARS coronavirus 2 (SARS-CoV-2) were located by EpiScan, and the potentially valuable vaccine epitope was identified. EpiScan can expedite the epitope mapping process for high-throughput antibody sequencing data, supporting vaccine design and drug development. Availability: For the convenience of related wet-experimental researchers, the source code and web server of EpiScan are publicly available at https://github.com/gzBiomedical/EpiScan.

The AMPK/cAMP Metabolic Signaling Axis as a Possible Therapeutic Target for Diabetes.

Diabetes is a complex disease, despite the availability of numerous treatments, its progression and complications can only be mitigated and managed to a certain extent. After the onset, diabetes cannot be reversed. Its global expansion makes it challenging for governments to control the considerable costs of treating people with diabetes. Many studies have been carried out by widely recognized pharmaceutical companies that are considering the development of new drugs for diabetic treatments. Diets, sedentary habits, and lifestyles that are currently prevalent have an enormous influence on the global spread of diabetes. The tools available to clinicians for therapy do not solve the problem. It is known that a patient, when diagnosed, would already have had diabetes for more than three years. Studies on diabetes signaling consider the effects of hyperglycemia but also highlight the roles of insulin receptor activation and resistance. Understanding the intricate signaling network and its interactions with hyperglycemiainduced pathways is crucial. In this context, the cyclic AMP/AMPK axis emerges as a promising therapeutic target for diabetes. However, there is a noticeable lack of literature exploring the metabolic network induced by hyperglycemia and its interconnected pathways. Therefore, investigating the cyclic cAMP/AMPK axis could provide valuable insights, given its complex connections with various metabolic pathways. This mini-review aims to delve into the metabolic signaling of the AMPK/cAMP axis in the context of diabetes, highlighting its metabolic interactions and potential implications.

Human adenovirus type 4 (HAdV-4) associated acute respiratory tract infection in children & genetic characteristics of HAdV-4 in China: a prospective multicenter study

BackgroundHuman adenovirus (HAdV) is an important pathogen causing acute respiratory infection (ARI) in children. Many countries, including China, have experienced sporadic or outbreaks related to HAdV-4, and death cases were reported. However, there is little research on HAdV-4 and the epidemic situation of HAdV-4 in China is little known. This study was designed to comprehend the prevalence and genetic characteristics of HAdV-4 in ARI children in China.MethodsRespiratory tract samples from ARI children hospitalized in six hospitals of Northern and Southern China from 2017 to 2020 were collected for HAdV detection and typing. Clinical information was collected from HAdV-4 positive patients for clinical characteristics and epidemiological analysis. The main capsid proteins and the whole genome sequences were amplified and sequenced for bioinformatics analysis.ResultsThere were 2847 ARI children enrolled, and 156 (5.48%) HAdV positive samples were detected. Eleven HAdV-4 positive samples were identified, accounting for 0.39% of the total samples and 7.05% of the HAdV positive samples. The main manifestations were fever and cough. Two children had conjunctivitis. Two children were diagnosed with severe pneumonia and developed respiratory failure. One of them developed hemophagocytic syndrome and checked in pediatric intensive care unit (PICU). This child had ventricular septal defect. All the children recovered. The isolated strains of HAdV-4 obtained in this study and the reference strains from China located in the same phylogenetic branch (HAdV-4a), while the prototype strain and vaccine strains formed another branch (HAdV-4p). Upon comparison with the prototype strain, there were a few amino acid mutations existing in three major capsid proteins. According to recombination analysis, no new recombination was found.ConclusionsThe detection rate of HAdV-4 in children hospitalized with ARI was 0.39% in the total samples and 7.05% of all HAdV positive samples. HAdV-4 isolates obtained in this study and other reference strains from China belonged to the HAdV-4a subtype. Our data provided reference for the monitoring, prevention and control of HAdV-4, as well as the research and development of vaccines and drugs.

Inflammasome components as new therapeutic targets in inflammatory disease.

Inflammation drives pathology in many human diseases for which there are no disease-modifying drugs. Inflammasomes are signalling platforms that can induce pathological inflammation and tissue damage, having potential as an exciting new class of drug targets. Small-molecule inhibitors of the NLRP3 inflammasome that are now in clinical trials have demonstrated proof of concept that inflammasomes are druggable, and so drug development programmes are now focusing on other key inflammasome molecules. In this Review, we describe the potential of inflammasome components as candidate drug targets and the novel inflammasome inhibitors that are being developed. We discuss how the signalling biology of inflammasomes offers mechanistic insights for therapeutic targeting. We also discuss the major scientific and technical challenges associated with drugging these molecules during preclinical development and clinical trials.

Cardiovascular adverse effects of antiviral therapies for COVID-19: Evidence and plausible mechanisms.

Antiviral therapeutics have made a critical contribution in mitigating the symptoms and clinical outcomes of the coronavirus disease of 2019 (COVID-19), in which a single-stranded RNA viral pathogen, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), causes multi-organ injuries. Several antivirals were widely prescribed to treat COVID-19, either through the emergency use authorization (EUA) by the governmental regulatory agencies (i.e., remdesivir, paxlovid, molnupiravir, and the SARS-CoV-2-targeted monoclonal antibodies - tixagevimab and cilgavimab), as well as the repurposed use of the existing antiviral or antimalarial drugs (e.g., hydroxychloroquine, chloroquine, and ivermectin). Despite their efficacy in ameliorating COVID-19 symptoms, some adverse side-effects of the antivirals were also reported during the COVID-19 pandemic. Our current review has aimed to gather and extrapolate the recently published information concerning cardiovascular adverse effects caused by each of the antivirals. We also provide further discussion on the potential cellular mechanisms underlying the cardiovascular adverse effects of the selected antiviral drugs, which should be carefully considered when evaluating risk factors in managing patients with COVID-19 or similar infectious diseases. It is foreseeable that future antiviral drug development assisted with the newest artificial intelligence platform may improve the accuracy to predict the structures of biomolecules of antivirals and therefore to mitigate their associated cardiovascular adversities.

SARS-CoV-2 Genotyping Highlights the Challenges in Spike Protein Drift Independent of Other Essential Proteins

As of 2024, SARS-CoV-2 continues to propagate and drift as an endemic virus, impacting healthcare for years. The largest sequencing initiative for any species was initiated to combat the virus, tracking changes over time at a full virus base-pair resolution. The SARS-CoV-2 sequencing represents a unique opportunity to understand selective pressures and viral evolution but requires cross-disciplinary approaches from epidemiology to functional protein biology. Within this work, we integrate a two-year genotyping window with structural biology to explore the selective pressures of SARS-CoV-2 on protein insights. Although genotype and the Spike (Surface Glycoprotein) protein continue to drift, most SARS-CoV-2 proteins have had few amino acid alterations. Within Spike, the high drift rate of amino acids involved in antibody evasion also corresponds to changes within the ACE2 binding pocket that have undergone multiple changes that maintain functional binding. The genotyping suggests selective pressure for receptor specificity that could also confer changes in viral risk. Mapping of amino acid changes to the structures of the SARS-CoV-2 co-transcriptional complex (nsp7-nsp14), nsp3 (papain-like protease), and nsp5 (cysteine protease) proteins suggest they remain critical factors for drug development that will be sustainable, unlike those strategies targeting Spike.

Clinical Trial Findings and Drug Development Challenges for Curcumin in Infectious Disease Prevention and Treatment

Since ancient times, turmeric, scientifically known as Curcuma longa, has been renowned for its therapeutic properties. Recently, extensive documentation has highlighted the prevalence of microbial diseases without effective treatments, the increased expense of certain antimicrobial medications, and the growing occurrence of antimicrobial drug resistance. Experts predict that drug resistance will emerge as a significant global cause of death by the middle of this century, thereby necessitating intervention. Curcumin, a major curcuminoid molecule, has shown extensive antimicrobial action. Improving and altering the use of natural antimicrobial agents is the most effective approach to addressing issues of targeted specificity and drug resistance in chemically synthesized medicines. Further research is required to explore the efficacy of curcumin and other natural antimicrobial substances in combating microbial infections. The solubility and bioavailability of curcumin impede its antimicrobial capability. To enhance curcumin’s antimicrobial effectiveness, researchers have recently employed several methods, including the development of curcumin-based nanoformulations. This review seeks to compile the latest available literature to assess the advantages of curcumin as a natural antimicrobial agent (particularly antiviral and antibacterial) and strategies to enhance its medical efficacy. The future application of curcumin will help to alleviate microbial infections, thereby promoting the sustainability of the world’s population.

An Experimental Dynamic Investigation of the Influence of Melatonin, Serotonin and Tryptophan on the Stability of the DNA Structure

Background: Small molecules play a crucial role in the exploration of physiological pathways and in drug development by targeting deoxyribonucleic acid (DNA). DNA is a central focus for both endogenous and exogenous ligands, which interact directly or indirectly to regulate transcription and replication processes, thus controlling genetic expression in specific cells. Among these molecules, indole derivatives like tryptophan, serotonin, and melatonin are notable for their widespread presence in nature and significant biological effects. Tryptophan, an essential amino acid, serves as a vital structural element in proteins and a precursor for bioactive compounds like serotonin and melatonin, which impact various physiological functions. Methods: Experimental studies have been conducted to reveal the interaction mechanisms of these endogenous indole derivatives with calf thymus DNA (ct-DNA). These investigations involve viscosity measurements and analysis of double-stranded DNA behavior in the presence of indole molecules, using spectrophotometric UV absorption techniques to assess their impact on DNA stability. Additionally, the influence of calcium and magnesium ions on the resulting complexes of these indole derivatives with ct-DNA has been evaluated. Molecular docking validated our findings, offering additional insights into potential DNA–ligand interactions. Utilizing a crystallographic oligomer with an intercalation gap improved docking accuracy, distinguishing intercalation from groove recognition and enhancing assessment precision. Results: Our study offers detailed insights into the interaction patterns of the indole derivatives with DNA and is highly supported by molecular docking analyses: the indole derivatives were predominantly localized between C and G, interacting via π-π interactions and hydrogen bonds and aligning with known data on conventional intercalators. These findings underscore the importance of small compounds’ planar structure and appropriate size, facilitating tight insertion between adjacent base pairs and disrupting regular DNA stacking. Conclusions: Indoles’ physiological roles and potential as drug candidates targeting specific pathways are highlighted, emphasizing their significance as ubiquitous molecules with the ability to modulate biological effects on DNA structure.

Anti- COVID-19 drug discovery by flavonoid derivatives: an extensive computational drug design approach.

The present study deals with the in-silico analyses of several flavonoid derivatives to explore COVID-19 through pharmacophore modelling, molecular docking, molecular dynamics, drug-likeness, and ADME properties. The initial literature study revealed that many flavonoids, including luteolin, quercetin, kaempferol, and baicalin may be useful against SARS β-coronaviruses, prompting the selection of their potential derivatives to investigate their abilities as inhibitors of COVID-19. The findings were streamlined using in silico molecular docking, which revealed promising energy-binding interactions between all flavonoid derivatives and the targeted protein. Notably, compounds 8, 9, 13, and 15 demonstrated higher potency against the coronavirus Mpro protein (PDB ID 6M2N). Compound 8 has a -7.2 Kcal/mol affinity for the protein and binds to it by hydrogen bonding with Gln192 and π-sulfur bonding with Met-165. Compound 9 exhibited a significant interaction with the main protease, demonstrating an affinity of -7.9 kcal/mol. Gln-192, Glu-189, Pro-168, and His-41 were the principle amino acid residues involved in this interaction. The docking score for compound 13 is -7.5 Kcal/mol, and it binds to the protease enzyme by making interactions with Leu-41, π-sigma, and Gln-189. These interactions include hydrogen bonding and π-sulfur. The major protease and compound 15 were found to bind with a favourable affinity of -6.8 Kcal/mol. This finding was further validated through molecular dynamic simulation for 1ns, analysing parameters such as RMSD, RMSF, and RoG profiles. The RoG values for all four of the compounds varied significantly (35.2-36.4). The results demonstrated the stability of the selected compounds during the simulation. After passing the stability testing, the compounds underwent screening for ADME and drug-likeness properties, fulfilling all the necessary criteria. The findings of the study may support further efforts for the discovery and development of safe drugs to treat COVID-19.

Phytochemical Analysis, Antioxidant Properties, Anti-nutrient Contents and Antimicrobial Study of Aqueous Extract of Morinda lucinda, Solanum erianthun, and Dryopteris expansa

The emergence of antibiotic-resistant microorganisms poses a significant challenge in clinical practice by complicating treatment options for infections. Exploring natural products as alternative drugs presents a promising approach to addressing these issues. Medicinal plants, acknowledged by the World Health Organization (WHO) as a preferred and safest source of various medicines, have gained considerable attention. Therefore, this study was conducted to investigate the phytochemical constituents, antioxidant properties, anti-nutrient content, and antimicrobial activities of Morinda lucinda, Solanum erianthun, and Dryopteris expansa The phytochemical analysis indicates that while flavonoids, saponins, and reducing sugars are common across the studied plants, Morinda lucida and Dryopteris expansa exhibit higher levels of saponins and the present of alkaloids, suggesting potential unique medicinal properties. The antimicrobial study revealed that the aqueous leaf extract of Morinda lucida made Streptococcus pyogenes and Staphylococcus aureus susceptible to its effects, while Dryopteris expansa made only Streptococcus pyogenes susceptible and the aqueous leaf extract of Solanum erianthum made the fungal species Penicillium chrysogenum susceptible to its action. All the studied plants demonstrated very strong antioxidant activity. The anti-nutrient analysis showed that Morinda lucida had the lowest cyanide content at 5.50 mg/100 g, while Solanum erianthum had the highest cyanide content at 6.89 mg/100 g. Dryopteris expansa exhibited the lowest levels of oxalates and phytates, with values of 0.28 mg and 0.20%, respectively. The results of this study demonstrate that each of these plants possesses significant potential as antimicrobial agents and antioxidants, with low toxicity levels. Consequently, they hold promise for medicinal applications and drug development.

Suppression of Interferon Response and Antiviral Strategies of Bunyaviruses

The order Bunyavirales belongs to the class of Ellioviricetes and is classified into fourteen families. Some species of the order Bunyavirales pose potential threats to human health. The continuously increasing research reveals that various viruses within this order achieve immune evasion in the host through suppressing interferon (IFN) response. As the types and nodes of the interferon response pathway are continually updated or enriched, the IFN suppression mechanisms and target points of different virus species within this order are also constantly enriched and exhibit variations. For instance, Puumala virus (PUUV) and Tula virus (TULV) can inhibit IFN response through their functional NSs inhibiting downstream factor IRF3 activity. Nevertheless, the IFN suppression mechanisms of Dabie bandavirus (DBV) and Guertu virus (GTV) are mostly mediated by viral inclusion bodies (IBs) or filamentous structures (FSs). Currently, there are no effective drugs against several viruses belonging to this order that pose significant threats to society and human health. While the discovery, development, and application of antiviral drugs constitute a lengthy process, our focus on key targets in the IFN response suppression process of the virus leads to potential antiviral strategies, which provide references for both basic research and practical applications.

A Facile and Green Approach for the Preparation of Silver Nanoparticles on Graphene Oxide with Favorable Antibacterial Activity.

Herein, we introduce a simple precipitation method for preparing graphene oxide-silver nanoparticle (GO/AgNP) composites, utilizing Calendula officinalis (C. officinalis) seed extract as both a reducing and stabilizing agent. Our research combines the sustainable preparation of graphene oxide (GO) with the green synthesis of silver nanoparticles (AgNPs), aiming to explore the potential of the obtained composite as a novel antibacterial material. To establish a benchmark, the synthesis was also performed using sodium citrate, a conventional reducing agent. The resultant GO/AgNP composites were characterized through several analytical techniques, including scanning electron microscopy (SEM), transmission electron microscopy (TEM), atomic force microscopy (AFM), energy dispersive X-ray spectroscopy (EDS), Raman spectroscopy, X-ray diffraction (XRD), infrared (IR) spectroscopy, and ultraviolet-visible (UV-vis) spectroscopy, confirming the successful functionalization of GO with AgNPs. The antibacterial effectiveness of the composites was systematically assessed against Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus), with nanoparticle concentrations spanning from 0 to 250 µg/mL, utilizing mostly disk diffusion and colony-forming unit (CFU) count assays. The AgNPs were characterized by a size range of 15-50 nm. Notably, the GO/AgNP composite prepared using C. officinalis seed extract demonstrated superior antibacterial activity at all tested concentrations, outperforming both pure GO and the GO/AgNP composite prepared with sodium citrate. The most pronounced antibacterial effect was observed at a concentration of 32.0 µg/mL. Therefore, this innovative synthesis approach may offer a valuable contribution to the development of new therapeutic agents to combat bacterial infections, suggesting further exploration into antibacterial coatings or potential drug development.

Research progress of follistatin-related proteins in digestive system tumors

Tumors of the digestive system are one of the most important factors affecting people's quality of life and have become a serious public health problem globally.Early screening and intervention of tumor markers in high-risk groups for tumors is the key to tumor prevention. Follistatin-related proteins (FRP) are important members of the follistatin family and such proteins are involved in the pathological process of tumors of the reproductive system and respiratory system, among others. In recent years, FRP has attracted extensive attention in the study of digestive system tumors, suggesting that FRP may play a significant role in the development of digestive system tumors, and is a potential marker for clinical diagnosis and treatment. The article reviews the biological function, expression and potential mechanism of action of FRP associated with digestive system tumors, with a view to providing reference for the diagnosis and prevention of digestive system tumors, prognosis assessment and drug development.

Construction of a prognostic risk model for uveal melanoma based on immune-related long noncoding RNA.

Uveal melanoma (UM) is a common health challenge worldwide as a prevalent intraocular malignancy because of its high mortality rate. However, clinical workers do not have an accurate prognostic tool now. Immune function is closely related to tumor development. Interestingly, researchers have identified that long noncoding RNAs (lncRNAs) are tightly associated with biological processes at the cellular level, particularly their involvements in immune response and its regulation of the growth of tumor cells. Hence, lncRNAs may be involved in the progression of uveal melanoma. UM patients' RNA expression matrices were extracted from TCGA database. The targeted immune genes were filtered by weighted correlation network analysis and the immune-related lncRNAs with a high prognostic relevance were obtained by Cox regression analysis and least absolute shrinkage and selection operator regression analysis. Each sample was scored according to those lncRNA expression and divided into high-risk and low-risk group. We confirmed the sensitivity and independence of our risk model compared to the tumor mutation burden score. Finally, we demonstrated the clinical relevance of our model by examining its sensitivity to different drugs. The risk score based on our risk model was significantly independent of other clinical parameters in either univariate (hazard ratio = 109.852 [15.738-766.749], P value < .001) or multivariate (hazard ratio = 114.075 [15.207-855.735], P value < .001) analyses. The ROC curves of this model imply high predictive accuracy for 1-year, 3-year, and 5-year survival (1-year area under the curve [AUC] = 0.849, 3-years AUC = 0.848, and 5-years AUC = 0.761). Our study revealed that immune-related lncRNAs are significant in the clinical diagnosis, treatment and prognosis of UM patients. We successfully constructed a lncRNA-based prognostic risk model which may serve as a future reference for the diagnosis and prognosis of UM. Based on this model we also validated the sensitivity of some cancer drugs, which has implications for the future immunotherapy and drug development.