The cure rate for chronic neurodegenerative diseases remains low,creating an urgent need for improved intervention methods.Recent studies have shown that enhancing mitochondrial function can mitigate the effects of th...The cure rate for chronic neurodegenerative diseases remains low,creating an urgent need for improved intervention methods.Recent studies have shown that enhancing mitochondrial function can mitigate the effects of these diseases.This paper comprehensively reviews the relationship between mitochondrial dysfunction and chronic neurodegenerative diseases,aiming to uncover the potential use of targeted mitochondrial interventions as viable therapeutic options.We detail five targeted mitochondrial intervention strategies for chronic neurodegenerative diseases that act by promoting mitophagy,inhibiting mitochondrial fission,enhancing mitochondrial biogenesis,applying mitochondria-targeting antioxidants,and transplanting mitochondria.Each method has unique advantages and potential limitations,making them suitable for various therapeutic situations.Therapies that promote mitophagy or inhibit mitochondrial fission could be particularly effective in slowing disease progression,especially in the early stages.In contrast,those that enhance mitochondrial biogenesis and apply mitochondria-targeting antioxidants may offer great benefits during the middle stages of the disease by improving cellular antioxidant capacity and energy metabolism.Mitochondrial transplantation,while still experimental,holds great promise for restoring the function of damaged cells.Future research should focus on exploring the mechanisms and effects of these intervention strategies,particularly regarding their safety and efficacy in clinical settings.Additionally,the development of innovative mitochondria-targeting approaches,such as gene editing and nanotechnology,may provide new solutions for treating chronic neurodegenerative diseases.Implementing combined therapeutic strategies that integrate multiple intervention methods could also enhance treatment outcomes.展开更多
The prolonged and intricate history of oncological treatments has transitioned significantly since the introduction of chemotherapy.Substantial therapeutic benefits in cancer therapy have been achieved by the integrat...The prolonged and intricate history of oncological treatments has transitioned significantly since the introduction of chemotherapy.Substantial therapeutic benefits in cancer therapy have been achieved by the integration of conventional treatments with molecular biosciences and omics technologies.Human epidermal growth factor receptor,hormone receptors,and angiogenesis factors are among the established therapies in tumor reduction and managing side effects.Novel targeted therapies like KRAS G12C,Claudin-18 isoform 2(CLDN18.2),Trophoblast cell-surface antigen 2(TROP2),and epigenetic regulators emphasize their promise in advancing precision medicine.However,in many cases,the resistance mechanisms associated with these interventions render them ineffective in carrying out their functions.The purpose of this review is to provide a comprehensive and up-to-date examination of both established and emerging drug targets and mechanisms of treatment resistance in oncology.This review seeks to elucidate recent advancements,address persisting challenges,and explore opportunities for innovative developments in cancer target research.Additionally,it explores the growing role of artificial intelligence in reshaping cancer drug discovery and development frameworks as potential avenues for future research.In conclusion,innovative approaches in oncology,supported by pharmacological research,ongoing clinical trials,molecular biosciences,and artificial intelligence,are poised to significantly transform cancer treatment.展开更多
Diabetes involves multi-organ complications that seriously threaten human life and health,and has become a major public health problem of global concern.Unfortunately,clinical management strategies for diabetic compli...Diabetes involves multi-organ complications that seriously threaten human life and health,and has become a major public health problem of global concern.Unfortunately,clinical management strategies for diabetic complications are still in their“infancy”,restricted by a limited understanding of their complex pathological mechanism.As is well established,lipid metabolism disorder is the characteristic pathological factors of diabetes,but the detailed molecular mechanisms driving the progression of multi-organ complications remain obscure.Protein S-acylation(often referred to as S-palmitoylation)is a reversible lipid modification that reversibly binds fatty acids to protein-specific cysteine(Cys)residues through palmitoyl acyl transferases(PATs,also known as DHHCs)and deacylation enzymes,which is involved in the pathological progression of a variety of complex diseases such as cancer,neurological disorders and metabolic syndrome.Notably,recent studies have shown that protein S-acylation drives the progression of diabetes and its multiple complications,and targeted intervention in the protein S-acylation process significantly alleviates the progression of diabetes and its complications,suggesting that protein S-acylation may be a common pathological link and intervention target of diabetes complications.Therefore,this review systematically comprehends the contribution of protein S-acylation to the progression of diabetes and its complications,summarizes the influence of the diabetic environment on S-acylation related enzymes,as well as providing an in-depth analysis of current drugs,measures,and challenges in targeting S-acylation.Finally,the accessibility of targeting protein S-acylation to prevent diabetes and its complications and the focus of future in-depth studies are envisioned,with a view to providing comprehensive and in-depth references and rationale for future novel strategies targeting protein S-acylation to prevent and treat diabetes and its multi-organ complications.展开更多
In recent years,proteolysis-targeting chimeras(PROTACs)have gained widespread attention as an emerging therapeutic approach.PROTACs are bifunctional molecules composed of a target protein-binding ligand,an E3 ubiquiti...In recent years,proteolysis-targeting chimeras(PROTACs)have gained widespread attention as an emerging therapeutic approach.PROTACs are bifunctional molecules composed of a target protein-binding ligand,an E3 ubiquitin ligase ligand,and a linker connecting these ligands.By harnessing the cell’s intrinsic ubiquitin-proteasome system(UPS),they promote the ubiquitination of specific target proteins,leading to their degradation and therapeutic effects.PROTACs show exceptional promise in targeting conventional“undruggable”targets compared to traditional small-molecule inhibitors.This review provides an overview of PROTACs,including their molecular mechanism of action,therapeutic benefits,development history,key design aspects,current research and development challenges,and future trends in nextgeneration PROTAC technology.展开更多
Background:Stomach cancer(SC)is one of the most lethal malignancies worldwide due to late-stage diagnosis and limited treatment.The transcriptomic,epigenomic,and proteomic,etc.,omics datasets generated by high-through...Background:Stomach cancer(SC)is one of the most lethal malignancies worldwide due to late-stage diagnosis and limited treatment.The transcriptomic,epigenomic,and proteomic,etc.,omics datasets generated by high-throughput sequencing technology have become prominent in biomedical research,and they reveal molecular aspects of cancer diagnosis and therapy.Despite the development of advanced sequencing technology,the presence of high-dimensionality in multi-omics data makes it challenging to interpret the data.Methods:In this study,we introduce RankXLAN,an explainable ensemble-based multi-omics framework that integrates feature selection(FS),ensemble learning,bioinformatics,and in-silico validation for robust biomarker detection,potential therapeutic drug-repurposing candidates’identification,and classification of SC.To enhance the interpretability of the model,we incorporated explainable artificial intelligence(SHapley Additive exPlanations analysis),as well as accuracy,precision,F1-score,recall,cross-validation,specificity,likelihood ratio(LR)+,LR−,and Youden index results.Results:The experimental results showed that the top four FS algorithms achieved improved results when applied to the ensemble learning classification model.The proposed ensemble model produced an area under the curve(AUC)score of 0.994 for gene expression,0.97 for methylation,and 0.96 for miRNA expression data.Through the integration of bioinformatics and ML approach of the transcriptomic and epigenomic multi-omics dataset,we identified potential marker genes,namely,UBE2D2,HPCAL4,IGHA1,DPT,and FN3K.In-silico molecular docking revealed a strong binding affinity between ANKRD13C and the FDA-approved drug Everolimus(binding affinity−10.1 kcal/mol),identifying ANKRD13C as a potential therapeutic drug-repurposing target for SC.Conclusion:The proposed framework RankXLAN outperforms other existing frameworks for serum biomarker identification,therapeutic target identification,and SC classification with multi-omics datasets.展开更多
Triple-negative breast cancer(TNBC)presents significant diagnostic and therapeutic challenges due to the lack of targeted treatments,rapid progression,high recurrence and metastasis rates,and overall poorer prognosis....Triple-negative breast cancer(TNBC)presents significant diagnostic and therapeutic challenges due to the lack of targeted treatments,rapid progression,high recurrence and metastasis rates,and overall poorer prognosis.Herein,the targeted theranostic platform of cysteine-modified gold nanodots-sulfhydrated luteinizing hormone releasing hormone(CGN-SLR)nanosystem was designed for target recognition and precise dual-mode imaging-guided photothermal therapy(PTT)against TNBC.On the one hand,the CGN-SLR nanosystem can serve as an ideal targeting fluorescent probe and computed tomography(CT)enhancer to facilitate the accurate diagnosis and surgical guidance of TNBC.On the other hand,the CGN-SLR nanosystem with great targeting and PTT ability can significantly inhibit the growth of TNBC,without causing harm to normal tissues and healthy organs.It provides an effective strategy for the diagnosis and treatment of TNBC through the rational design of multifunctional nanoplatform with target recognition,multiple imaging guidance/monitoring,and high-efficiency PTT.展开更多
We read with great interest Deng et al.’s study 1 comparing sextant(6-core)and 12-core systematic biopsy in theMRI-targeted era,which valuably challenges the“more cores=higher accuracy”dogma by proposing a precisio...We read with great interest Deng et al.’s study 1 comparing sextant(6-core)and 12-core systematic biopsy in theMRI-targeted era,which valuably challenges the“more cores=higher accuracy”dogma by proposing a precision sampling strategy based on prostate cancer’s spatial distribution,aligning with personalized diagnosis trends.展开更多
Metabolic reprogramming involving branched-chain amino acids(BCAAs)—leucine,isoleucine,and valine—is increasingly recognized as pivotal in cancer progression,metastasis,and immune modulation.This review comprehensiv...Metabolic reprogramming involving branched-chain amino acids(BCAAs)—leucine,isoleucine,and valine—is increasingly recognized as pivotal in cancer progression,metastasis,and immune modulation.This review comprehensively explores how cancer cells rewire BCAA metabolism to enhance proliferation,survival,and therapy resistance.Tumors manipulate BCAA uptake and catabolism via high expression of transporters like L-type amino acid transporter 1(LAT1)and enzymes including branched chain amino acid transaminase 1(BCAT1),branched chain amino acid transaminase 2(BCAT2),branched-chain alpha-keto acid dehydrogenase(BCKDH),and branched chain alpha-keto acid dehydrogenase kinase(BCKDK).These alterations sustain energy production,biosynthesis,redox homeostasis,and oncogenic signaling(especially mammalian target of rapamycin complex 1[mTORC1]).Crucially,tumor-driven BCAA depletion also shapes an immunosuppressive microenvironment,impairing anti-tumor immunity by limiting essential nutrients for T cells and natural killer(NK)cells.Innovative therapeutic strategies targeting BCAA pathways—ranging from selective small-molecule inhibitors(e.g.,LAT1 and BCAT1/2)to dietary modulation—have shown promising preclinical and early clinical efficacy,highlighting their potential to exploit metabolic vulnerabilities in cancer cells while bolstering immune responses.By integrating multi-omics data and precision targeting approaches,this review underscores the translational significance of BCAA metabolic reprogramming,positioning it as a novel frontier in cancer treatment.展开更多
Oncology Research Editorial Office Published:19 January 2026 The published article titled“miR-202 Promotes Cell Apoptosis in Esophageal Squamous Cell Carcinoma by Targeting HSF2”has been retracted from Oncology Rese...Oncology Research Editorial Office Published:19 January 2026 The published article titled“miR-202 Promotes Cell Apoptosis in Esophageal Squamous Cell Carcinoma by Targeting HSF2”has been retracted from Oncology Research,Vol.25,No.2,2017,pp.215-223.DOI:10.3727/096504016X14732772150541 URL:https://www.techscience.com/or/v25n2/56800.展开更多
The continuous decrease in global fishery resources has increased the importance of precise and efficient underwater fish monitoring technology.First,this study proposes an improved underwater target detection framewo...The continuous decrease in global fishery resources has increased the importance of precise and efficient underwater fish monitoring technology.First,this study proposes an improved underwater target detection framework based on YOLOv8,with the aim of enhancing detection accuracy and the ability to recognize multi-scale targets in blurry and complex underwater environments.A streamlined Vision Transformer(ViT)model is used as the feature extraction backbone,which retains global self-attention feature extraction and accelerates training efficiency.In addition,a detection head named Dynamic Head(DyHead)is introduced,which enhances the efficiency of processing various target sizes through multi-scale feature fusion and adaptive attention modules.Furthermore,a dynamic loss function adjustment method called SlideLoss is employed.This method utilizes sliding window technology to adaptively adjust parameters,which optimizes the detection of challenging targets.The experimental results on the RUOD dataset show that the proposed improved model not only significantly enhances the accuracy of target detection but also increases the efficiency of target detection.展开更多
The published article titled“MicroRNA-133b Inhibits Proliferation,Cellular Migration,and Invasion via Targeting LASP1 in Hepatocarcinoma Cells”has been retracted from Oncology Research,Vol.25,No.8,2017,pp.1269–1282.
Oncology Research Editorial Office Published:19 January 2026 The published article titled“miR-126-5p Restoration Promotes Cell Apoptosis in Cervical Cancer by Targeting Bcl2l2”has been retracted from Oncology Resear...Oncology Research Editorial Office Published:19 January 2026 The published article titled“miR-126-5p Restoration Promotes Cell Apoptosis in Cervical Cancer by Targeting Bcl2l2”has been retracted from Oncology Research,Vol.25,No.4,2017,pp.463-470.DOI:10.3727/096504016X14685034103879 URL:https://www.techscience.com/or/v25n4/56826.展开更多
A recently published study(Xin et al.,Prog Biochem Biophys,2026,53(2):431-441.DOI:10.3724/j.pibb.2025.0508)addresses the therapeutic challenges of pancreatic ductal adenocarcinoma(PDAC)by innovatively developing an or...A recently published study(Xin et al.,Prog Biochem Biophys,2026,53(2):431-441.DOI:10.3724/j.pibb.2025.0508)addresses the therapeutic challenges of pancreatic ductal adenocarcinoma(PDAC)by innovatively developing an orally administered nanogene delivery system.Designed to achieve in situ,efficient delivery of chimeric antigen receptor(CAR)genes to tumor sites,this approach offers a novel strategy for CAR-macrophage(CAR-M)based immunotherapy.Its key highlights are as follows.展开更多
Background:Giant cell arteritis(GCA),the most common systemic vasculitis affecting elderly individuals,currently lacks specific therapies.This study aimed to systematically identify therapeutic targets for GCA through...Background:Giant cell arteritis(GCA),the most common systemic vasculitis affecting elderly individuals,currently lacks specific therapies.This study aimed to systematically identify therapeutic targets for GCA through integration of large-scale multi-omics datasets.Methods:We constructed a multi-stage analytical framework encompassing 32 proteomic datasets(covering 2914 unique plasma proteins)and 6 transcriptomic datasets.Multi-omics integration strategies,including two-sample Mendelian randomization,colocalization analysis,and functional enrichment analysis,were employed to identify and validate causal relationships between candidate targets and GCA risk across 4 independent European-ancestry GCA cohorts.Single-cell RNA sequencing analysis of peripheral blood mononuclear cells from untreated GCA patients was performed to characterize hub gene-immune cell relationships.Results:We identified 43 plasma proteins causally associated with GCA[false discovery rate(FDR)<0.05],with 17 representing novel therapeutic targets.Through dual validation using proteome-wide association studies and transcriptome-wide association studies,we identified 13 high-confidence candidate targets with distinct tissue-specific expression patterns.Unc-51 like kinase 3(ULK3)emerged as the strongest protective factor(odds ratio=0.47,95%confidence interval:0.37–0.71)through autophagy regulation,while SLAMF7 represents an immediate drug repositioning opportunity as the target of food and drug administration-approved elotuzumab.Five targets have existing approved drugs(SLAMF7,ICAM1,IL18,IL6ST,CTSS).Single-cell analysis revealed profound disruption of hub gene-immune cell relationships in untreated GCA patients,with cell-type-specific alterations in inflammatory gene expression,and TYMP as the most critical hub gene.Conclusions:This study provides a clinically-actionable atlas of 43 potential therapeutic targets in GCA,identifying novel mechanisms including autophagy modulation and metabolic reprogramming,with immediate drug repositioning opportunities and precision medicine strategies based on tissue-specific and cell-type-specific expression patterns.These findings require experimental validation before clinical translation.展开更多
Cancer is the second leading cause of death globally.Its treatment remains a major challenge due to the disease's complexity,heterogeneity,and adaptive nature.Among the array of available treatments,targeted thera...Cancer is the second leading cause of death globally.Its treatment remains a major challenge due to the disease's complexity,heterogeneity,and adaptive nature.Among the array of available treatments,targeted therapy emerges as a paramount approach to address this substantial unmet clinical need,owing to its precise tumor targeting capabilities and potential for mitigating tumor progression risks.Drug conjugates are in high demand for targeted therapy due to their unique ligand specificity and potent cytotoxicity,thereby significantly enhancing therapeutic efficacy and reducing the incidence of adverse effects.Therefore,as a burgeoning field in biomedical research,it is timely to outline the latest advances in drug conjugates-driven cancer treatment.Herein,we aim to present the emerging breakthroughs in this exciting field at the intersection of target ligands,linkers,payloads,and cancer treatments.This review focuses on several drug conjugates-related strategies,including antibody-drug conjugates(ADCs),peptide-drug conjugates(PDCs),small molecule-drug conjugates(SMDCs),aptamer-drug conjugates(ApDCs)and radionuclide-drug conjugates(RDCs).Finally,we discuss the fundamentals behind drug conjugate-based anticancer therapeutics,along with their inherent advantages and associated challenges,as well as recent research advances.展开更多
Accurately estimating depth from underwater monocular images is essential for the target tracking task of unmanned underwater vehicles.This work proposes a method based on the Lpg-Lap Unet architecture.First,the Unet ...Accurately estimating depth from underwater monocular images is essential for the target tracking task of unmanned underwater vehicles.This work proposes a method based on the Lpg-Lap Unet architecture.First,the Unet architecture integrates Laplacian pyramid depth residuals and Sobel operators to improve the boundary details in depth images,which may suffer from the feature loss caused by upsampling and the blurriness of underwater images.Multiscale local planar guidance layers then fully exploit the intermediate depth features,and a comprehensive loss function ensures robustness and accuracy.Experimental results on benchmarks demonstrate the effectiveness of Lpg-Lap Unet and its superior performance over state-of-the-art models.An underwater target tracking system is then designed to further validate its real-time capabilities in the AirSim simulation platform.展开更多
Hepatic fibrosis is regulated by the synergistic actions of various cells and cytokines,with the activation and proliferation of hepatic stellate cells(HSCs) being considered the central event in this process.To achie...Hepatic fibrosis is regulated by the synergistic actions of various cells and cytokines,with the activation and proliferation of hepatic stellate cells(HSCs) being considered the central event in this process.To achieve specific targeting of activated hepatic stellate cells(a HSCs) and precise treatment of hepatic fibrosis,this study developed a dual-functional drug delivery system(SIL/c RGD-PEG-PPS PMs) with both targeting and responsive release capabilities.It aims to target the αvβ 3 receptor specifically expressed on the surface of a HSCs using the cyclic peptide c(RGDyk),and to exploit the high reactive oxygen species(ROS) level in the cellular microenvironment to achieve concentrated burst release of drugs at the pathological sites of hepatic fibrosis.Based on multiple assessments,SIL/c RGD-PEG-PPS PMs specifically enhanced the targeted delivery of silybin(SIL) to a HSCs,inhibited the proliferation and migration of a HSCs,and exhibited good biosafety.Additionally,it demonstrated excellent anti-fibrotic activity in fibrotic mice.In summary,this study shows great potential in targeted treatment of hepatic fibrosis and provides a multifunctional tool for advancing the research and therapeutic strategies of hepatic fibrosis.展开更多
Tau plays a crucial role in several neurodegenerative diseases,collectively referred to as tauopathies.Therefore,targeting potential pathological changes in tau could enable useful therapeutic interventions.However,ta...Tau plays a crucial role in several neurodegenerative diseases,collectively referred to as tauopathies.Therefore,targeting potential pathological changes in tau could enable useful therapeutic interventions.However,tau is not an easy target because it dynamically interacts with microtubules and other cellular components,which presents a challenge for tau-targeted drugs.New cellular models could aid the development of mechanism-based tau-targeted therapies.展开更多
Alzheimer’s disease(AD)remains an incurable neurodegenerative disorder with devastating societal and personal impacts.Despite decades of intensive research,therapeutic efforts targeting the clinical stages of AD have...Alzheimer’s disease(AD)remains an incurable neurodegenerative disorder with devastating societal and personal impacts.Despite decades of intensive research,therapeutic efforts targeting the clinical stages of AD have largely failed to halt or reverse disease progression.This has prompted a critical shift in focus toward the earlier,preclinical stages of AD,where interventions may hold greater promise for altering the disease trajectory.展开更多
Within the domain of Intelligent Group Systems(IGSs),this paper develops a resourceaware multitarget Constant False Alarm Rate(CFAR)detection framework for multisite MIMO radar systems.It underscores the necessity of ...Within the domain of Intelligent Group Systems(IGSs),this paper develops a resourceaware multitarget Constant False Alarm Rate(CFAR)detection framework for multisite MIMO radar systems.It underscores the necessity of managing finite transmit and receive antennas and transmit power systematically to enhance detection performance.To tackle the multidimensional resource optimization challenge,we introduce a Cooperative Transmit-Receive Antenna Selection and Power Allocation(CTRSPA)strategy.It employs a perception-action cycle that incorporates uncertain external support information to optimize worst-case detection performance with multiple targets.First,we derive a closed-form expression that incorporates uncertainty for the noncoherent integration squared-law detection probability using the Neyman-Pearson criterion.Subsequently,a joint optimization model for antenna selection and power allocation in CFAR detection is formulated,incorporating practical radar resource constraints.Mathematically,this represents an NPhard problem involving coupled continuous and Boolean variables.We propose a three-stage method—Reformulation,Node Picker,and Convex Power Allocation—that capitalizes on the independent convexity of the optimization model for each variable,ensuring a near-optimal result.Simulations confirm the approach's effectiveness,efficiency,and timeliness,particularly for large-scale radar networks,and reveal the impact of threat levels,system layout,and detection parameters on resource allocation.展开更多
基金partly supported by the Yan’an University Qin Chuanyuan“Scientist+Engineer”Team Special Fund,No.2023KXJ-012(to YL)Yan’an University Transformation of Scientific and Technological Achievements Fund,No.2023CGZH-001(to YL)+2 种基金College Students Innovation and Entrepreneurship Training Program,Nos.D2023158,202410719056(to XS,JM)Yan’an University Production and Cultivation Project,No.CXY202001(to YL)Kweichow Moutai Hospital Research and Talent Development Fund Project,No.MTyk2022-25(to XO)。
文摘The cure rate for chronic neurodegenerative diseases remains low,creating an urgent need for improved intervention methods.Recent studies have shown that enhancing mitochondrial function can mitigate the effects of these diseases.This paper comprehensively reviews the relationship between mitochondrial dysfunction and chronic neurodegenerative diseases,aiming to uncover the potential use of targeted mitochondrial interventions as viable therapeutic options.We detail five targeted mitochondrial intervention strategies for chronic neurodegenerative diseases that act by promoting mitophagy,inhibiting mitochondrial fission,enhancing mitochondrial biogenesis,applying mitochondria-targeting antioxidants,and transplanting mitochondria.Each method has unique advantages and potential limitations,making them suitable for various therapeutic situations.Therapies that promote mitophagy or inhibit mitochondrial fission could be particularly effective in slowing disease progression,especially in the early stages.In contrast,those that enhance mitochondrial biogenesis and apply mitochondria-targeting antioxidants may offer great benefits during the middle stages of the disease by improving cellular antioxidant capacity and energy metabolism.Mitochondrial transplantation,while still experimental,holds great promise for restoring the function of damaged cells.Future research should focus on exploring the mechanisms and effects of these intervention strategies,particularly regarding their safety and efficacy in clinical settings.Additionally,the development of innovative mitochondria-targeting approaches,such as gene editing and nanotechnology,may provide new solutions for treating chronic neurodegenerative diseases.Implementing combined therapeutic strategies that integrate multiple intervention methods could also enhance treatment outcomes.
文摘The prolonged and intricate history of oncological treatments has transitioned significantly since the introduction of chemotherapy.Substantial therapeutic benefits in cancer therapy have been achieved by the integration of conventional treatments with molecular biosciences and omics technologies.Human epidermal growth factor receptor,hormone receptors,and angiogenesis factors are among the established therapies in tumor reduction and managing side effects.Novel targeted therapies like KRAS G12C,Claudin-18 isoform 2(CLDN18.2),Trophoblast cell-surface antigen 2(TROP2),and epigenetic regulators emphasize their promise in advancing precision medicine.However,in many cases,the resistance mechanisms associated with these interventions render them ineffective in carrying out their functions.The purpose of this review is to provide a comprehensive and up-to-date examination of both established and emerging drug targets and mechanisms of treatment resistance in oncology.This review seeks to elucidate recent advancements,address persisting challenges,and explore opportunities for innovative developments in cancer target research.Additionally,it explores the growing role of artificial intelligence in reshaping cancer drug discovery and development frameworks as potential avenues for future research.In conclusion,innovative approaches in oncology,supported by pharmacological research,ongoing clinical trials,molecular biosciences,and artificial intelligence,are poised to significantly transform cancer treatment.
基金supported by National Natural Science Foundation of China(No.82304909)National Natural Science Foundation of China(No.82174112)Tianjin Science and Technology Innovation Base Construction(No.24ZYJDSY00280).
文摘Diabetes involves multi-organ complications that seriously threaten human life and health,and has become a major public health problem of global concern.Unfortunately,clinical management strategies for diabetic complications are still in their“infancy”,restricted by a limited understanding of their complex pathological mechanism.As is well established,lipid metabolism disorder is the characteristic pathological factors of diabetes,but the detailed molecular mechanisms driving the progression of multi-organ complications remain obscure.Protein S-acylation(often referred to as S-palmitoylation)is a reversible lipid modification that reversibly binds fatty acids to protein-specific cysteine(Cys)residues through palmitoyl acyl transferases(PATs,also known as DHHCs)and deacylation enzymes,which is involved in the pathological progression of a variety of complex diseases such as cancer,neurological disorders and metabolic syndrome.Notably,recent studies have shown that protein S-acylation drives the progression of diabetes and its multiple complications,and targeted intervention in the protein S-acylation process significantly alleviates the progression of diabetes and its complications,suggesting that protein S-acylation may be a common pathological link and intervention target of diabetes complications.Therefore,this review systematically comprehends the contribution of protein S-acylation to the progression of diabetes and its complications,summarizes the influence of the diabetic environment on S-acylation related enzymes,as well as providing an in-depth analysis of current drugs,measures,and challenges in targeting S-acylation.Finally,the accessibility of targeting protein S-acylation to prevent diabetes and its complications and the focus of future in-depth studies are envisioned,with a view to providing comprehensive and in-depth references and rationale for future novel strategies targeting protein S-acylation to prevent and treat diabetes and its multi-organ complications.
文摘In recent years,proteolysis-targeting chimeras(PROTACs)have gained widespread attention as an emerging therapeutic approach.PROTACs are bifunctional molecules composed of a target protein-binding ligand,an E3 ubiquitin ligase ligand,and a linker connecting these ligands.By harnessing the cell’s intrinsic ubiquitin-proteasome system(UPS),they promote the ubiquitination of specific target proteins,leading to their degradation and therapeutic effects.PROTACs show exceptional promise in targeting conventional“undruggable”targets compared to traditional small-molecule inhibitors.This review provides an overview of PROTACs,including their molecular mechanism of action,therapeutic benefits,development history,key design aspects,current research and development challenges,and future trends in nextgeneration PROTAC technology.
基金the Deanship of Research and Graduate Studies at King Khalid University,KSA,for funding this work through the Large Research Project under grant number RGP2/164/46.
文摘Background:Stomach cancer(SC)is one of the most lethal malignancies worldwide due to late-stage diagnosis and limited treatment.The transcriptomic,epigenomic,and proteomic,etc.,omics datasets generated by high-throughput sequencing technology have become prominent in biomedical research,and they reveal molecular aspects of cancer diagnosis and therapy.Despite the development of advanced sequencing technology,the presence of high-dimensionality in multi-omics data makes it challenging to interpret the data.Methods:In this study,we introduce RankXLAN,an explainable ensemble-based multi-omics framework that integrates feature selection(FS),ensemble learning,bioinformatics,and in-silico validation for robust biomarker detection,potential therapeutic drug-repurposing candidates’identification,and classification of SC.To enhance the interpretability of the model,we incorporated explainable artificial intelligence(SHapley Additive exPlanations analysis),as well as accuracy,precision,F1-score,recall,cross-validation,specificity,likelihood ratio(LR)+,LR−,and Youden index results.Results:The experimental results showed that the top four FS algorithms achieved improved results when applied to the ensemble learning classification model.The proposed ensemble model produced an area under the curve(AUC)score of 0.994 for gene expression,0.97 for methylation,and 0.96 for miRNA expression data.Through the integration of bioinformatics and ML approach of the transcriptomic and epigenomic multi-omics dataset,we identified potential marker genes,namely,UBE2D2,HPCAL4,IGHA1,DPT,and FN3K.In-silico molecular docking revealed a strong binding affinity between ANKRD13C and the FDA-approved drug Everolimus(binding affinity−10.1 kcal/mol),identifying ANKRD13C as a potential therapeutic drug-repurposing target for SC.Conclusion:The proposed framework RankXLAN outperforms other existing frameworks for serum biomarker identification,therapeutic target identification,and SC classification with multi-omics datasets.
基金supported by the Natural Science Foundation of Jilin Province(No.SKL202302002).
文摘Triple-negative breast cancer(TNBC)presents significant diagnostic and therapeutic challenges due to the lack of targeted treatments,rapid progression,high recurrence and metastasis rates,and overall poorer prognosis.Herein,the targeted theranostic platform of cysteine-modified gold nanodots-sulfhydrated luteinizing hormone releasing hormone(CGN-SLR)nanosystem was designed for target recognition and precise dual-mode imaging-guided photothermal therapy(PTT)against TNBC.On the one hand,the CGN-SLR nanosystem can serve as an ideal targeting fluorescent probe and computed tomography(CT)enhancer to facilitate the accurate diagnosis and surgical guidance of TNBC.On the other hand,the CGN-SLR nanosystem with great targeting and PTT ability can significantly inhibit the growth of TNBC,without causing harm to normal tissues and healthy organs.It provides an effective strategy for the diagnosis and treatment of TNBC through the rational design of multifunctional nanoplatform with target recognition,multiple imaging guidance/monitoring,and high-efficiency PTT.
文摘We read with great interest Deng et al.’s study 1 comparing sextant(6-core)and 12-core systematic biopsy in theMRI-targeted era,which valuably challenges the“more cores=higher accuracy”dogma by proposing a precision sampling strategy based on prostate cancer’s spatial distribution,aligning with personalized diagnosis trends.
基金supported by a grant from the Dalian Science and Technology Innovation Fund Program(No.2024JJ13PT070)United Foundation for Dalian Institute of Chemical Physics,Chinese Academy of Sciences and the Second Hospital of Dalian Medical University(No.DMU-2&DICP UN202410)Dalian Life and Health Field Guidance Program Project(No.2024ZDJH01PT084).
文摘Metabolic reprogramming involving branched-chain amino acids(BCAAs)—leucine,isoleucine,and valine—is increasingly recognized as pivotal in cancer progression,metastasis,and immune modulation.This review comprehensively explores how cancer cells rewire BCAA metabolism to enhance proliferation,survival,and therapy resistance.Tumors manipulate BCAA uptake and catabolism via high expression of transporters like L-type amino acid transporter 1(LAT1)and enzymes including branched chain amino acid transaminase 1(BCAT1),branched chain amino acid transaminase 2(BCAT2),branched-chain alpha-keto acid dehydrogenase(BCKDH),and branched chain alpha-keto acid dehydrogenase kinase(BCKDK).These alterations sustain energy production,biosynthesis,redox homeostasis,and oncogenic signaling(especially mammalian target of rapamycin complex 1[mTORC1]).Crucially,tumor-driven BCAA depletion also shapes an immunosuppressive microenvironment,impairing anti-tumor immunity by limiting essential nutrients for T cells and natural killer(NK)cells.Innovative therapeutic strategies targeting BCAA pathways—ranging from selective small-molecule inhibitors(e.g.,LAT1 and BCAT1/2)to dietary modulation—have shown promising preclinical and early clinical efficacy,highlighting their potential to exploit metabolic vulnerabilities in cancer cells while bolstering immune responses.By integrating multi-omics data and precision targeting approaches,this review underscores the translational significance of BCAA metabolic reprogramming,positioning it as a novel frontier in cancer treatment.
文摘Oncology Research Editorial Office Published:19 January 2026 The published article titled“miR-202 Promotes Cell Apoptosis in Esophageal Squamous Cell Carcinoma by Targeting HSF2”has been retracted from Oncology Research,Vol.25,No.2,2017,pp.215-223.DOI:10.3727/096504016X14732772150541 URL:https://www.techscience.com/or/v25n2/56800.
基金supported by the National Natural Science Foundation of China(No.52106080)the Jilin City Science and Technology Innovation Development Plan Project(No.20240302014)+2 种基金the Jilin Provincial Department of Education Science and Technology Research Project(No.JJKH20230135K)the Jilin Province Science and Technology Development Plan Project(No.YDZJ202401640ZYTS)the Northeast Electric Power University Teaching Reform Research Project(No.J2427)。
文摘The continuous decrease in global fishery resources has increased the importance of precise and efficient underwater fish monitoring technology.First,this study proposes an improved underwater target detection framework based on YOLOv8,with the aim of enhancing detection accuracy and the ability to recognize multi-scale targets in blurry and complex underwater environments.A streamlined Vision Transformer(ViT)model is used as the feature extraction backbone,which retains global self-attention feature extraction and accelerates training efficiency.In addition,a detection head named Dynamic Head(DyHead)is introduced,which enhances the efficiency of processing various target sizes through multi-scale feature fusion and adaptive attention modules.Furthermore,a dynamic loss function adjustment method called SlideLoss is employed.This method utilizes sliding window technology to adaptively adjust parameters,which optimizes the detection of challenging targets.The experimental results on the RUOD dataset show that the proposed improved model not only significantly enhances the accuracy of target detection but also increases the efficiency of target detection.
文摘The published article titled“MicroRNA-133b Inhibits Proliferation,Cellular Migration,and Invasion via Targeting LASP1 in Hepatocarcinoma Cells”has been retracted from Oncology Research,Vol.25,No.8,2017,pp.1269–1282.
文摘Oncology Research Editorial Office Published:19 January 2026 The published article titled“miR-126-5p Restoration Promotes Cell Apoptosis in Cervical Cancer by Targeting Bcl2l2”has been retracted from Oncology Research,Vol.25,No.4,2017,pp.463-470.DOI:10.3727/096504016X14685034103879 URL:https://www.techscience.com/or/v25n4/56826.
文摘A recently published study(Xin et al.,Prog Biochem Biophys,2026,53(2):431-441.DOI:10.3724/j.pibb.2025.0508)addresses the therapeutic challenges of pancreatic ductal adenocarcinoma(PDAC)by innovatively developing an orally administered nanogene delivery system.Designed to achieve in situ,efficient delivery of chimeric antigen receptor(CAR)genes to tumor sites,this approach offers a novel strategy for CAR-macrophage(CAR-M)based immunotherapy.Its key highlights are as follows.
基金supported by grants from the Fundamental Research Funds for the Central Universities(No.2025ZFJH03)the Central Guidance Fund for Local Science and Technology Development(No.2024ZY01054)the CAMS Innovation Fund for Medical Sciences(No.2019-I2M-5-045).
文摘Background:Giant cell arteritis(GCA),the most common systemic vasculitis affecting elderly individuals,currently lacks specific therapies.This study aimed to systematically identify therapeutic targets for GCA through integration of large-scale multi-omics datasets.Methods:We constructed a multi-stage analytical framework encompassing 32 proteomic datasets(covering 2914 unique plasma proteins)and 6 transcriptomic datasets.Multi-omics integration strategies,including two-sample Mendelian randomization,colocalization analysis,and functional enrichment analysis,were employed to identify and validate causal relationships between candidate targets and GCA risk across 4 independent European-ancestry GCA cohorts.Single-cell RNA sequencing analysis of peripheral blood mononuclear cells from untreated GCA patients was performed to characterize hub gene-immune cell relationships.Results:We identified 43 plasma proteins causally associated with GCA[false discovery rate(FDR)<0.05],with 17 representing novel therapeutic targets.Through dual validation using proteome-wide association studies and transcriptome-wide association studies,we identified 13 high-confidence candidate targets with distinct tissue-specific expression patterns.Unc-51 like kinase 3(ULK3)emerged as the strongest protective factor(odds ratio=0.47,95%confidence interval:0.37–0.71)through autophagy regulation,while SLAMF7 represents an immediate drug repositioning opportunity as the target of food and drug administration-approved elotuzumab.Five targets have existing approved drugs(SLAMF7,ICAM1,IL18,IL6ST,CTSS).Single-cell analysis revealed profound disruption of hub gene-immune cell relationships in untreated GCA patients,with cell-type-specific alterations in inflammatory gene expression,and TYMP as the most critical hub gene.Conclusions:This study provides a clinically-actionable atlas of 43 potential therapeutic targets in GCA,identifying novel mechanisms including autophagy modulation and metabolic reprogramming,with immediate drug repositioning opportunities and precision medicine strategies based on tissue-specific and cell-type-specific expression patterns.These findings require experimental validation before clinical translation.
基金the Project of China-Japan Joint International Laboratory of Advanced Drug Delivery System Research and Translation of Liaoning Province(No.2024JH2/102100007)the open fund of National Key Laboratory of Advanced DrugFormulations for Overcoming Delivery Barriers(No.2024-KFB-003)+1 种基金the National Natural Science Foundation of China(No.82104109)Scientific Research Project of Liaoning Department of Education(No.LJ212410163045).
文摘Cancer is the second leading cause of death globally.Its treatment remains a major challenge due to the disease's complexity,heterogeneity,and adaptive nature.Among the array of available treatments,targeted therapy emerges as a paramount approach to address this substantial unmet clinical need,owing to its precise tumor targeting capabilities and potential for mitigating tumor progression risks.Drug conjugates are in high demand for targeted therapy due to their unique ligand specificity and potent cytotoxicity,thereby significantly enhancing therapeutic efficacy and reducing the incidence of adverse effects.Therefore,as a burgeoning field in biomedical research,it is timely to outline the latest advances in drug conjugates-driven cancer treatment.Herein,we aim to present the emerging breakthroughs in this exciting field at the intersection of target ligands,linkers,payloads,and cancer treatments.This review focuses on several drug conjugates-related strategies,including antibody-drug conjugates(ADCs),peptide-drug conjugates(PDCs),small molecule-drug conjugates(SMDCs),aptamer-drug conjugates(ApDCs)and radionuclide-drug conjugates(RDCs).Finally,we discuss the fundamentals behind drug conjugate-based anticancer therapeutics,along with their inherent advantages and associated challenges,as well as recent research advances.
基金partially supported by the Natural Science Foundation of Shandong Province,China(No.ZR2023ME009)the National Natural Science Foundation of China(No.51909252)。
文摘Accurately estimating depth from underwater monocular images is essential for the target tracking task of unmanned underwater vehicles.This work proposes a method based on the Lpg-Lap Unet architecture.First,the Unet architecture integrates Laplacian pyramid depth residuals and Sobel operators to improve the boundary details in depth images,which may suffer from the feature loss caused by upsampling and the blurriness of underwater images.Multiscale local planar guidance layers then fully exploit the intermediate depth features,and a comprehensive loss function ensures robustness and accuracy.Experimental results on benchmarks demonstrate the effectiveness of Lpg-Lap Unet and its superior performance over state-of-the-art models.An underwater target tracking system is then designed to further validate its real-time capabilities in the AirSim simulation platform.
基金supported by the financial assistance from Natural Science Fund Project of Science and Technology Department of Jilin Province (Nos.YDZJ202301ZYTS141,YDZJ202501ZYTS793)。
文摘Hepatic fibrosis is regulated by the synergistic actions of various cells and cytokines,with the activation and proliferation of hepatic stellate cells(HSCs) being considered the central event in this process.To achieve specific targeting of activated hepatic stellate cells(a HSCs) and precise treatment of hepatic fibrosis,this study developed a dual-functional drug delivery system(SIL/c RGD-PEG-PPS PMs) with both targeting and responsive release capabilities.It aims to target the αvβ 3 receptor specifically expressed on the surface of a HSCs using the cyclic peptide c(RGDyk),and to exploit the high reactive oxygen species(ROS) level in the cellular microenvironment to achieve concentrated burst release of drugs at the pathological sites of hepatic fibrosis.Based on multiple assessments,SIL/c RGD-PEG-PPS PMs specifically enhanced the targeted delivery of silybin(SIL) to a HSCs,inhibited the proliferation and migration of a HSCs,and exhibited good biosafety.Additionally,it demonstrated excellent anti-fibrotic activity in fibrotic mice.In summary,this study shows great potential in targeted treatment of hepatic fibrosis and provides a multifunctional tool for advancing the research and therapeutic strategies of hepatic fibrosis.
文摘Tau plays a crucial role in several neurodegenerative diseases,collectively referred to as tauopathies.Therefore,targeting potential pathological changes in tau could enable useful therapeutic interventions.However,tau is not an easy target because it dynamically interacts with microtubules and other cellular components,which presents a challenge for tau-targeted drugs.New cellular models could aid the development of mechanism-based tau-targeted therapies.
基金supported by the Canadian Institutes of Health Research Project grant (PJT-169197) to QYsupported by a CGS-M fellowship from the Canadian Institutes of Health Research
文摘Alzheimer’s disease(AD)remains an incurable neurodegenerative disorder with devastating societal and personal impacts.Despite decades of intensive research,therapeutic efforts targeting the clinical stages of AD have largely failed to halt or reverse disease progression.This has prompted a critical shift in focus toward the earlier,preclinical stages of AD,where interventions may hold greater promise for altering the disease trajectory.
基金supported by the National Natural Science Foundation of China(Nos.62071482 and 62471348)the Shaanxi Association of Science and Technology Youth Talent Support Program Project,China(No.20230137)+1 种基金the Innovative Talents Cultivate Program for Technology Innovation Team of Shaanxi Province,China(No.2024RS-CXTD-08)the Youth Innovation Team of Shaanxi Universities,China。
文摘Within the domain of Intelligent Group Systems(IGSs),this paper develops a resourceaware multitarget Constant False Alarm Rate(CFAR)detection framework for multisite MIMO radar systems.It underscores the necessity of managing finite transmit and receive antennas and transmit power systematically to enhance detection performance.To tackle the multidimensional resource optimization challenge,we introduce a Cooperative Transmit-Receive Antenna Selection and Power Allocation(CTRSPA)strategy.It employs a perception-action cycle that incorporates uncertain external support information to optimize worst-case detection performance with multiple targets.First,we derive a closed-form expression that incorporates uncertainty for the noncoherent integration squared-law detection probability using the Neyman-Pearson criterion.Subsequently,a joint optimization model for antenna selection and power allocation in CFAR detection is formulated,incorporating practical radar resource constraints.Mathematically,this represents an NPhard problem involving coupled continuous and Boolean variables.We propose a three-stage method—Reformulation,Node Picker,and Convex Power Allocation—that capitalizes on the independent convexity of the optimization model for each variable,ensuring a near-optimal result.Simulations confirm the approach's effectiveness,efficiency,and timeliness,particularly for large-scale radar networks,and reveal the impact of threat levels,system layout,and detection parameters on resource allocation.
