Current Gene Therapy - Volume 25, Issue 4, 2025
Volume 25, Issue 4, 2025
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Alternative Splicing of Pre-mRNA Matters in Oral Diseases
Authors: Mingyang Yue and Rong JiaAlternative splicing (AS) of pre-mRNA occurs widely in human genes to produce multiple isoforms with different or even opposite functions. Aberrant AS is often associated with gene mutations and can be corrected by gene therapy. Oral diseases are important public health problems worldwide. Accumulated pieces of evidence demonstrate that AS of pathogenic genes plays key roles in some oral diseases. However, considering the extensiveness and complexity of AS, it may affect the initiation and development of oral diseases deeply and widely. This review describes the diversity of AS and resulting isoforms in genetic, infectious, and malignant oral diseases and highlights the key roles of AS in determining the function of isoforms and the occurrence and progression of these diseases. The studies of alternative splicing may provide great opportunities for the understanding and treatment of oral diseases.
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miRNA-Targeted Vaccines: A Promising Approach for Viral Attenuation and Immunogenicity Enhancement
MicroRNAs (miRNAs) have emerged as a significant tool in the realm of vaccinology, offering novel approaches to vaccine development. This study investigates the potential of miRNAs in the development of advanced vaccines, with an emphasis on how they regulate immune response and control viral replication. We go over the molecular features of miRNAs, such as their capacity to direct post-transcriptional regulation toward mRNAs, hence regulating the expression of genes in diverse tissues and cells. This property is harnessed to develop live attenuated vaccines that are tissue-specific, enhancing safety and immunogenicity. The review highlights recent advancements in using miRNA-targeted vaccines against viruses like influenza, poliovirus, and tick-borne encephalitis virus, demonstrating their attenuated replication in specific tissues while retaining immunogenicity. We also explored the function of miRNAs in the biology of cancer, highlighting their potential to develop cancer vaccines through targeting miRNAs that are overexpressed in tumor cells. The difficulties in developing miRNA vaccines are also covered in this work, including delivery, stability, off-target effects, and the requirement for individualized cancer treatment plans. We wrap off by discussing the potential of miRNA vaccines and highlighting how they will influence the development of vaccination techniques for cancer and infectious diseases in the future.
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Immune Modulation Strategies in Gene Therapy: Overcoming Immune Barriers and Enhancing Efficacy
The immune system presents significant obstacles to gene therapy, which has limited its use in treating many illnesses. New approaches are needed to overcome these problems and improve the effectiveness of gene therapy. This study explores several techniques to immune regulation within gene therapy, a cutting-edge discipline that aims to optimise results by fine-tuning the immune response. We cover new ways to control the immune system and deliver therapeutic genes just where they are needed, including influencing immunological checkpoints, causing immunotolerance, and making smart use of immunomodulatory drugs. In addition, the study provides insight into new developments in the design of less immunogenic gene delivery vectors, which allow for the extension of transgene expression with minimal adverse immune reactions. In order to maximise the efficacy of gene-based therapies, this review analyses these novel approaches and gives a thorough overview of the present state of the art by addressing obstacles and pointing the way toward future developments in immune regulation. Not only does their integration provide new opportunities for the creation of safer and more effective gene treatments, but it also contains the key to overcome current obstacles.
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Gene Augmentation Techniques to Stimulate Wound Healing Process: Progress and Prospects
Authors: Jyotsana Dwivedi, Shubhi Kaushal, D. Jeslin, L. Karpagavalli, Rajesh Kumar, Dhruv Dev and Pranay WalGene therapy has traditionally been used to treat individuals with late-stage cancers or congenital abnormalities. Numerous prospects for therapeutic genetic modifications have emerged with the discovery that gene therapy applications are far more extensive, particularly in skin and exterior wounds. Cutaneous wound healing is a complex, multistep process involving multiple steps and mediators that operate in a network of activation and inhibition processes. This setting presents a unique obstacle for gene delivery. Many gene delivery strategies have been developed, including liposomal administration, high-pressure injection, viral transfection, and the application of bare DNA. Among several gene transfer techniques, categorical polymers, nanoparticles, and liposomal-based constructs show great promise for non-viral gene transfer in wounds. Clinical experiments have shown that efficient transportation of certain polypeptides to the intended wound location is a crucial factor in wound healing. Genetically engineered cells can be used to produce and control the delivery of specific growth factors, thereby addressing the drawbacks of mechanically administered recombinant growth factors. We have discussed how repair mechanisms are based on molecules and cells, as well as their breakdown, and provided an overview of the methods and research conducted on gene transmission in tissue regeneration.
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Target and Gene-Based Therapeutic Strategies against Pancreatic Cancer: Current and Future Prospects
Authors: Medha Dwivedi, Sayak Sanyal, Sakshi Singh, Manish Dwivedi and Somali SanyalDespite tremendous advancements in knowledge, diagnosis, and availability of both traditional and innovative treatments, pancreatic cancer remains a dangerous disease with a high death rate and dismal prognosis. The traditional strategy in adjuvant and palliative settings is still cytotoxic chemotherapy predicated on the purine derivative gemcitabine; nevertheless, there is an increasing need for new medicines that target the primary molecular pathways and pathophysiological abnormalities implicated. There is now just a tiny amount of evidence of therapeutic benefit when the targeted drug erlotinib is added to the conventional gemcitabine treatment. In preclinical and clinical trials, novel medications targeting mTOR, NF-κB, and proteasome, including the enzyme histone deacetylase, are currently being studied alongside the well-established monoclonal antibody treatments and small-molecule protein tyrosine kinase inhibitors. These novel medications may change the negative natural progression of this illness in conjunction with gene therapy and immunotherapy, both of which are undergoing clinical study. In this regard, leveraging miRNA manipulation to combat cancer is appealing due to its promise to deliver personalized treatment tailored to an individual's distinct gene or miRNA expression profile. Preclinical studies involving animals have showcased the effectiveness of miRNA-based therapies, with several of these treatments now progressing into human clinical trials for various malignancies and other medical conditions. This review describes the important developments of targeted therapeutics that are associated with pancreatic cancer and the discoveries which can help in dealing with this fatal malignancy in a more significant manner.
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Probing the Depths of Molecular Complexity: STAT3 as a Key Architect in Colorectal Cancer Pathogenesis
Colorectal cancer (CRC) has become a significant threat in recent decades, and its incidence is predicted to continue rising. Despite notable advancements in therapeutic strategies, managing CRC poses complex challenges, primarily due to the lack of clinically feasible therapeutic targets. Among the myriad molecules implicated in CRC, the signal transducer and activator of transcription 3 (STAT3) stands out as a promising target tightly regulated by various genes. This intracellular transcription factor, spanning 750-795 amino acids and weighing approximately 92 kDa, is crucial in key cellular activities such as growth, migration, invasion, inflammation, and angiogenesis. Aberrant activation of STAT3 signaling has been linked to various cancers, including CRC. Therefore, targeting this signaling pathway holds significance for potential CRC treatment strategies. STAT3, as a central intracellular transcription factor, is implicated in colorectal cancer development by activating aberrant signaling pathways. Numerous studies have demonstrated that the abnormal hyperactivation of STAT3 in CRC tissues enhances cell proliferation, suppresses apoptosis, promotes angiogenesis, and facilitates tumor invasion and metastasis. As a focal point in colorectal cancer research, STAT3 emerges as a promising candidate for detecting and treating CRC. This review aims to present recent data on STAT3, emphasizing the activation and functions of STAT3 inhibitors in CRC. Indeed, STAT3 inhibitors have been identified to have therapeutic potential in CRC, especially inhibitors targeting the DNA-binding domain (DBD). Indeed, STAT3 inhibitors have been identified to have a therapeutic potential in CRC, especially the inhibitors targeting the DNA binding domain (DBD). For example, imatinib acts by targeting cell surface receptors, and these inhibitors have shown potential for the control and treatment of tumor growth, angiogenesis, and metastasis. Imatinib, for example acts by targeting cell surface receptors, and these inhibitors have shown the future direction toward the control and treatment of tumor growth, angiogenesis, and metastasis.
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The Role of Immunotherapy in Lung Cancer Treatment: Current Strategies, Future Directions, and Insights into Metastasis and Immune Microenvironment
Authors: Chen Lu Li, Xin Yuan Ma and Ping YiLung cancer is a leading cause of mortality worldwide. Immunotherapy has emerged as a potentially effective strategy, as traditional medicines have shown minimal success. This review investigates the current state of immunotherapy for lung cancer treatment, focusing on its mechanisms, clinical applications, strategies, and future directions. This study focuses on the different characteristics of non-small and small-cell lung cancer to emphasize the need for targeted treatment strategies. In non-small cell lung cancer, immune checkpoint inhibitors that target PD-1, PD-L1, and CTLA-4 have shown a strong therapeutic benefit and increased survival rates. The complex interactions among tumor cells, immune cells, and the tumor microenvironment significantly impact the outcome of immunotherapy. The determination of predicting biomarkers and conquering resistance requires an understanding of the tumor microenvironment. This study addresses a range of immunotherapeutic strategies, such as immune modulators, monoclonal antibodies, and cancer vaccines. The combination approaches are being explored to enhance treatment effectiveness and address resistance mechanisms that integrate immunotherapy with other modalities. Despite advancements, challenges still exist. The identification of reliable biomarkers, regulating immune-related adverse effects, and the overcoming of limitations in treating metastatic disease require more investigation. Future research directions should include exploring the immune microenvironment, developing personalized treatment strategies based on tumor profiles, and integrating new technologies for patient screening. Immunotherapy holds immense potential to modify lung cancer treatment and enhance clinical results.
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Synergizing CRISPR-Cas9 with Advanced Artificial Intelligence and Machine Learning for Precision Drug Delivery: Technological Nexus and Regulatory Insights
The evolution of genetic exploration tools, from laborious methods like radiation-induced mutations to the transformative CRISPR-Cas9 system, has fundamentally reshaped genetic research and gene editing capabilities. This journey, initiated by foundational techniques such as ZFNs and TALENs and culminating in the groundbreaking work of Doudna and Charpentier in 2012, has ushered in an era of precise DNA alteration and profound insights into gene functions. The CRISPR/Cas9 system uses the Cas9 enzyme and guides RNA (gRNA) to precisely target and cleave DNA, with subsequent repair via error-prone NHEJ or precise HDR, enabling versatile gene editing. Complementary computational tools like E-CRISP and Azimuth 2.0, alongside advanced deep learning models like DeepCRISPR, have significantly contributed to refining CRISPR experiments, optimizing gRNA efficiency, and predicting outcomes with greater precision. In clinical applications, CRISPR-Cas9 shows great promise for treating complex genetic disorders like sickle cell disease and β-thalassemia, but faces challenges such as off-target effects, immune responses to viral vectors, and ethical issues in germline editing. Overcoming these challenges requires meticulous experimentation and robust regulatory frameworks to ensure responsible and beneficial utilization of the CRISPR-Cas9 technology across diverse fields, including cancer treatment, genetic disease therapies, agriculture, and synthetic biology, while continually addressing ethical, safety, and legal considerations for its advancement and widespread adoption.
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Unraveling Glioblastoma: TME Implication and Gene Therapy Advances
Authors: Rohith Raali and P.K. SureshGlioblastoma is a malignant manifestation of a solid brain tumour with a very dismal prognosis due to an overall median survival of 14 months. The currently administered Standard treatment plan, the STUPP regimen, is not very effective in tackling this neoplasia. A major concern that affects the development of new drug formulations, specifically for Glioma, is the inherent sub-clonal heterogeneity, which includes the dynamic and intricate nature of the Tumour Microenvironment (TME). Targeting the cellular niche using personalized medication for glioma specifically gene therapy, seems to be promising, with most studies in preclinical models yielding optimistic results. This paper analyses the great headways made in glioma gene therapy in the last 10 years while looking into different therapeutic strategies. That said, certain challenges do plague the clinical use of gene therapy which have been highlighted in the hopes that future researchers will address these concerns and further propel gene therapy in its journey from the Lab to the bedside.
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Comprehensive Analysis and Experimental Validation of HEPACAM2 as a Potential Prognosis Biomarker and Immunotherapy Target in Colorectal Cancer
Authors: Shouguang Wang, Lijuan Zhang, Dongbing Li and Miaomiao GouBackgroundThe role of HEPACAM family member 2 (HEPACAM2) is unclear in colorectal cancer (CRC).
ObjectiveThe objective of this study was to perform an extensive examination of HEPACAM2 and validate it experimentally in CRC.
MethodsThis study investigated the significance of HEPACAM2 in CRC and its potential diagnostic utility utilizing data from the Cancer Genome Atlas (TCGA) database. Additionally, the study examined potential regulatory networks involving HEPACAM2, including its associations with immune infiltration, immune checkpoint genes, tumor mutational burden (TMB), microsatellite instability (MSI), mRNA expression-based stemness index (mRNAsi), and drug sensitivity in CRC. The expression of HEPACAM2 was further validated using the GSE89076 dataset, and quantitative reverse transcription PCR (qRT-PCR) was employed to confirm HEPACAM2 expression levels in six pairs of CRC tissue samples.
ResultsHEPACAM2 exhibited abnormal expression patterns in various types of cancer, including CRC. A decrease in HEPACAM2 expression levels in CRC was found to be significantly correlated with the T stage (p < 0.001). Reduced HEPACAM2 expression in CRC patients was also linked to poorer overall survival (OS) (p = 0.007). The expression levels of HEPACAM2 in CRC patients were identified as an independent prognostic factor (p = 0.016). Furthermore, HEPACAM2 was associated with TCF-dependent signaling in response to WNT, G2/M checkpoints, and other pathways. The expression of HEPACAM2 in CRC was found to be associated with immune infiltration, immune checkpoint genes, TMB / MSI, and mRNAsi. Additionally, the expression of HEPACAM2 in CRC was significantly and inversely correlated with the drug sensitivities to gw772405x and 6-phenyl-6h-indeno[1,2-c]isoquinoline-5,11-dione. qRT-PCR confirmed that the expression level of HEPACAM2 was found to be lowly expressed in CRC tissues.
ConclusionThese findings suggest that HEPACAM2 may serve as a potential prognostic biomarker and immunotherapeutic target for CRC patients.
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Proteogenomic Identification and Analysis of KIF5B as a Prognostic Signature for Hepatocellular Carcinoma
Authors: Lishuang Qi, Yilong Tan, Yunfei Zhou, Yihong Dong, Xun Yang, Shuyuan Chang, Lei Yu and Dabin LiuBackgroundMetabolic disorders are significant risk factors for liver cancer, particularly Hepatocellular Carcinoma (HCC). However, the molecular genetic basis of metabolic reprogramming in the liver remains largely uncertain.
ObjectiveThis study aimed to investigate some novel prognostic biomarkers in HCC by using proteogenomic and transcriptomic analysis and explore the potential role of specific prognostic genes in HCC.
MethodsHere, we have presented a proteogenomic analysis of 10 pairs of HCC. Protein co-expression and pathway analysis were performed to investigate the biological characteristics of HCC. Protein and mRNA expression profiles of multi-cohorts were integrated to detect novel prognostic protein markers of HCC. The carcinogenic roles of candidate prognostic markers were further evaluated by MTS assay, colony formation, monolayer wound healing assay, and xenograft models.
ResultsA total of 2086 proteins with significantly different expressions were detected in HCC. Pathways related to oncogenic signaling and insulin-related metabolism have been found to be dysregulated and differentially regulated in HCC. We have identified the novel prognostic biomarkers, KIF5B, involved in liver metabolic reprogramming. The biomarkers were identified using multivariable COX regression analysis from two independent proteomic datasets (Fudan Cohort and our recruited cohort) and the TCGA mRNA database. Both the protein and mRNA up-regulation of KIF5B have been found to be associated with a poor clinical outcome in HCC. Insulin activated the protein expression of KIF5B in HCC. Knocking out KIF5B expression by sgRNA decreased the protein expression of FASN and SCD1 and the intracellular triglyceride concentration. Silencing KIF5B suppressed HCC cell proliferation and colony formation in vitro, as well as HCC growth in xenograft models.
ConclusionOur findings have suggested KIF5B protein to function as a novel prognostic biomarker in HCC. KIF5B expression has been found to activate the AKT/mTOR pathway and reprogram triglyceride metabolism, leading to HCC development. Targeting KIF5B may be an effective strategy in the clinical treatment of HCC.
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Delivery of Superoxide Dismutase 3 Gene with Baculoviruses Inhibits TNF-α Triggers Vascular Smooth Muscle Cell Proliferation and Inflammation
BackgroundSuperoxide dismutase 3 (SOD3), recognized as a potent free radical scavenger, exhibits antioxidant, anti-inflammatory, and anti-angiogenic properties. However, the molecular mechanisms underlying the protective effects of SOD3 on the vascular smooth muscle cell during atherosclerosis remain unclear.
ObjectivesThis study aimed to investigate the efficacy of the baculovirus expressing SOD3 gene delivery to vascular smooth muscle cells (VSMCs) and investigate whether the overexpression of SOD3 mitigates cell proliferation and migration induced by tumor necrosis factor-α (TNF-α).
MethodsA baculoviral vector containing SOD3 cDNA (vAcMBac-CMV-IE-SOD3) was constructed and utilized to deliver the SOD3 gene into primary rat VSMCs. Cells were stimulated with recombinant TNF-α, and then cell proliferation and migration were evaluated using the bromodeoxyuridine and wound healing assay. Western blot was used to verify the expression of cell cycle regulators, cellular mediators, and proliferative biomarkers. Zymography, immunofluorescence staining, and ELISA assay were conducted to assess the expression levels of matrix metalloproteinases.
ResultsThe results demonstrated efficient and non-cytotoxic transduction of vAcMBac-CMV-IE-SOD3 in VSMCs. SOD3 overexpression significantly suppressed cell proliferation and motility by inhibiting cell cycle regulators in TNF-α-induced cells. TNF-α elevated protein levels of phospho-ERK and phospho-Akt were reduced markedly by SOD3-overexpressing. Additionally, SOD3 overexpression attenuated the elevation of MMP-2 and MMP-9, the pro-inflammatory and proliferative biomarkers. Overall, the SOD3 gene delivery exhibited potent anti-proliferation and anti-inflammation effects on TNF-α-induced VSMCs.
ConclusionAn effective SOD3 gene delivery using a recombinant baculoviral vector has been successfully established and is useful for overexpression of the SOD gene family. This approach provides new therapeutic strategies in gene therapy against atherosclerosis.
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DeepLCRmiRNA: A Hybrid Neural Network Approach for Identifying Lung Cancer-Associated miRNAs
Authors: Nitao Cheng, Chen Chen, Junliang Liu, Xuanchun Wang, Ziqi Gao, Ming Mao and Jingyu HuangIntroductionLung cancer stands as one of the most prevalent malignant neoplasms, with microRNAs (miRNAs) playing a pivotal role in the modulation of gene expression, impacting cancer cell proliferation, invasion, metastasis, immune escape, and resistance to therapy.
MethodsThe intricate role of miRNAs in lung cancer underscores their significance as biomarkers for early detection and as novel targets for therapeutic intervention. Traditional approaches for the identification of miRNAs related to lung cancer, however, are impeded by inefficiencies and complexities.
ResultsIn response to these challenges, this study introduced an innovative deep-learning strategy designed for the efficient and precise identification of lung cancer-associated miRNAs. Through comprehensive benchmark tests, our method exhibited superior performance relative to existing technologies.
ConclusionFurther case studies have also confirmed the ability of our model to identify lung cancer-associated miRNAs that have undergone biological validation.
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Volumes & issues
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Volume 25 (2025)
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Volume 24 (2024)
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Volume 23 (2023)
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Volume 22 (2022)
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Volume 21 (2021)
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Volume 20 (2020)
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Volume 19 (2019)
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Volume 18 (2018)
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Volume 17 (2017)
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Volume 16 (2016)
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Volume 15 (2015)
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Volume 14 (2014)
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Volume 13 (2013)
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Volume 12 (2012)
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Volume 11 (2011)
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Volume 10 (2010)
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Volume 9 (2009)
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Volume 8 (2008)
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Volume 7 (2007)
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Volume 6 (2006)
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Volume 5 (2005)
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Volume 4 (2004)
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Volume 3 (2003)
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Volume 2 (2002)
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Volume 1 (2001)
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