Journal of Gene Medicine最新文献

{"title":"Causal effects of female reproductive features on nonalcoholic fatty liver disease: A mendelian randomization study","authors":"Haoshuang Fu,&nbsp;Shuying Song,&nbsp;Bingying Du,&nbsp;Tianhui Zhou,&nbsp;Minghao Cai,&nbsp;Shaowen Jiang,&nbsp;Yaoxing Chen,&nbsp;Xinya Zang,&nbsp;Yan Huang,&nbsp;Weijing Wang,&nbsp;Qing Xie","doi":"10.1002/jgm.3738","DOIUrl":"10.1002/jgm.3738","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background and aims</h3>\u0000 \u0000 <p>Epidemiological evidence on the associations between female reproductive features and nonalcoholic fatty liver disease (NAFLD) is conflicting. To explore their causalities, we conducted a Mendelian randomization (MR) study.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Summary-level data were obtained, and univariable MR was performed to explore the causalities between female reproductive features and NAFLD. And we performed multivariable MR and MR mediation analysis to explore the mediation effects of educational attainment (EA) and body mass index (BMI) for these associations. Sensitivity analyses were performed to evaluate pleiotropy and heterogeneity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>There were causal effects of age at menarche (AAMA) (odds ratio [OR]: 0.817, 95% confidence interval [CI]: 0.736–0.907, per year-increase), age at first birth (AFB) (OR: 0.851, 95%CI: 0.791–0.926, per year-increase) and age at first sexual intercourse (AFS) (OR: 0.676, 95%CI: 0.511–0.896, per standard deviation-increase) on NAFLD risk. Besides, the causal effects were also observed on NAFLD phenotypes including liver fat content (LFC) and alanine aminotransferase (ALT). Further mediation analysis showed that BMI mediated partial proportion of effects of AAMA and AFS on NAFLD/ALT, AFB on NAFLD/LFC/ALT, while EA mediated partial proportion of effects of AFB on NAFLD/LFC/ALT, and AFS on NAFLD/ALT.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>This study provided convincing evidence that early AAMA, AFB, and AFS were risk factors for NAFLD. Reproductive health education, obesity management, and education spread might be the beneficial strategies for NAFLD prevention.</p>\u0000 </section>\u0000 </div>","PeriodicalId":56122,"journal":{"name":"Journal of Gene Medicine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jgm.3738","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142156775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the interplay between bisphenol A exposure, the immune microenvironment and hepatocellular carcinoma progression","authors":"Qi Liu,&nbsp;Ruishu Niu,&nbsp;Yi Ye,&nbsp;Jie Li","doi":"10.1002/jgm.3723","DOIUrl":"10.1002/jgm.3723","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Hepatocellular carcinoma (HCC) remains a formidable challenge in oncology, with its pathogenesis and progression influenced by myriad factors. Among them, the pervasive organic synthetic compound, bisphenol A (BPA), previously linked with various adverse health effects, has been speculated to play a role. This study endeavors to elucidate the complex interplay between BPA, the immune microenvironment of HCC, and the broader molecular landscape of this malignancy.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A comprehensive analysis was undertaken using data procured from both The Cancer Genome Atlas and the Comparative Toxicogenomics Database. Rigorous differential expression analyses were executed, supplemented by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses. In addition, single-sample gene set enrichment analysis, gene set enrichment analysis and gene set variation analysis were employed to reveal potential molecular links and insights. Immune infiltration patterns were delineated, and a series of <i>in vitro</i> experiments on HCC cells were conducted to directly assess the impact of BPA exposure.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Our findings unveiled a diverse array of active immune cells and functions within HCC. Distinct correlations emerged between high-immune-related scores, established markers of the tumor microenvironment and the expression of immune checkpoint genes. A significant discovery was the identification of key genes simultaneously associated with immune-related pathways and BPA exposure. Leveraging these genes, a prognostic model was crafted, offering predictive insights into HCC patient outcomes. Intriguingly, <i>in vitro</i> studies suggested that BPA exposure could promote proliferation in HCC cells.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This research underscores the multifaceted nature of HCC’s immune microenvironment and sheds light on BPA’s potential modulatory effects therein. The constructed prognostic model, if validated further, could serve as a robust tool for risk stratification in HCC, potentially guiding therapeutic strategies. Furthermore, the implications of the findings for immunotherapy are profound, suggesting new avenues for enhancing treatment efficacy. As the battle against HCC continues, understanding of environmental modulators like BPA becomes increasingly pivotal.</p>\u0000 </section>\u0000 </div>","PeriodicalId":56122,"journal":{"name":"Journal of Gene Medicine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142127440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Single-cell RNA sequencing reveals microenvironmental infiltration in non-small cell lung cancer with different responses to immunotherapy","authors":"Xinnan Hu,&nbsp;Yonghui Wu,&nbsp;Lixin Wang,&nbsp;Fujun Yang,&nbsp;Lingyun Ye,&nbsp;Xiaoxia Chen,&nbsp;Xiao Song,&nbsp;Ping Wei","doi":"10.1002/jgm.3736","DOIUrl":"10.1002/jgm.3736","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Immunotherapy represents a groundbreaking and monumental achievement in the field of cancer therapy, marking a significant advancement in fighting against this devastating disease. Lung cancer has showed consistent clinical improvements in response to immunotherapy treatments, yet, it is undeniable that challenges such as limited response rates acquire resistance, and the unclear fundamental mechanisms were inevitable problems.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The cellular composition was defined and distinguished through single-cell RNA sequencing (scRNA-seq) analysis of MPR (major pathologic response) and NMPR (non-major pathologic response) samples in GSE207422, including four primary MPR samples and eight primary NMPR samples.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We found obvious difference in CD8+ T cell population between MPR and NMPR samples, with high expression of TYMS, RRM2, and BIRC5 in NPMR samples. Meanwhile, the proportion of macrophages and tumor epithelial cells infiltration increased in the NMPR samples. We discovered biomarkers (ACTN4, ATF3, BRD2, CDKN1A, and CHMP4B) in epithelial cells which were potentially represented worse outcomes.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>By exploring the difference of tumor microenvironment (TME) in samples with different corresponding degrees of neoadjuvant immunotherapy, this research introduces a number of novel biomarkers for predicting the response of treatment and a theoretical basis for overcoming immunotherapy resistance.</p>\u0000 </section>\u0000 </div>","PeriodicalId":56122,"journal":{"name":"Journal of Gene Medicine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142127441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Oncogenic tRNA-derived fragment tRF-Leu-CAG promotes tumorigenesis of lung cancer via targeting TCEA3 and increasing autophagy","authors":"Fan Wu,&nbsp;Binshu Chai,&nbsp;Pengfei Qi,&nbsp;Yaqi Han,&nbsp;Zhitao Gu,&nbsp;Wei Pan,&nbsp;Hui Zhang,&nbsp;Xianyi Wang,&nbsp;Xiaomin Liu,&nbsp;Heng Zou,&nbsp;Chen Liang,&nbsp;YanLi Li,&nbsp;Wentao Fang,&nbsp;Zhongliang Ma","doi":"10.1002/jgm.3737","DOIUrl":"https://doi.org/10.1002/jgm.3737","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Lung cancer is a prevalent and severe form of malignant tumors worldwide. tRF-Leu-CAG, a recently discovered non-coding single-stranded small RNA derived from transfer RNA, has sparked interest in exploring its biological functions and potential molecular mechanisms in lung cancer.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The abundance of tRF-Leu-CAG was measured via quantitative real-time polymerase chain reaction (qRT-PCR) in 96 sets of lung cancer tissue samples obtained from clinical patients. Subsequently, both in vivo and in vitro experiments were conducted to validate the biological functions of tRF-Leu-CAG in lung cancer. Furthermore, an exploration of the potential target genes of tRF-Leu-CAG and its association with autophagy and drug resistance in lung cancer was undertaken.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Our analysis revealed a significant upregulation of tRF-Leu-CAG in non-small cell lung cancer (NSCLC) tissues. Additionally, we observed that heightened expression of tRF-Leu-CAG significantly augmented the proliferation and migration of NSCLC cells, facilitated cell cycle progression, and suppressed apoptosis. Furthermore, we identified transcription elongation factor A3 (TCEA3) as a direct target gene of tRF-Leu-CAG. TCEA3 inhibited the proliferation and migration of NSCLC, and tRF-Leu-CAG promoted the proliferation and migration of NSCLC by mediating the silencing of TCEA3. Moreover, we demonstrated that the augmentation of paclitaxel resistance by tRF-Leu-CAG was contingent on autophagy. Finally, tRF-Leu-CAG notably accelerated tumor growth and promoted the process of epithelial-mesenchymal transition (EMT) in vivo.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>tRF-Leu-CAG promotes NSCLC tumor growth and metastasis by targeting TCEA3 and promotes paclitaxel resistance by enhancing cellular autophagy. These results provide potentially effective targets and therapeutic options for the clinical treatment of NSCLC.</p>\u0000 </section>\u0000 </div>","PeriodicalId":56122,"journal":{"name":"Journal of Gene Medicine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142089818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrative in silico approaches to analyse microRNA-mediated responses in human diseases","authors":"Meghna Agrawal,&nbsp;Ashutosh Mani","doi":"10.1002/jgm.3734","DOIUrl":"https://doi.org/10.1002/jgm.3734","url":null,"abstract":"<p>Advancements in sequencing technologies have facilitated omics level information generation for various diseases in human. High-throughput technologies have become a powerful tool to understand differential expression studies and transcriptional network analysis. An understanding of complex transcriptional networks in human diseases requires integration of datasets representing different RNA species including microRNA (miRNA) and messenger RNA (mRNA). This review emphasises on conceptual explanation of generalized workflow and methodologies to the miRNA mediated responses in human diseases by using different in silico analysis. Although, there have been many prior explorations in miRNA-mediated responses in human diseases, the advantages, limitations and overcoming the limitation through different statistical techniques have not yet been discussed. This review focuses on miRNAs as important gene regulators in human diseases, methodologies for miRNA-target gene prediction and data driven methods for enrichment and network analysis for miRnome–targetome interactions. Additionally, it proposes an integrative workflow to analyse structural components of networks obtained from high-throughput data. This review explains how to apply the existing methods to analyse miRNA-mediated responses in human diseases. It addresses unique characteristics of different analysis, its limitations and its statistical solutions influencing the choice of methods for the analysis through a workflow. Moreover, it provides an overview of promising common integrative approaches to comprehend miRNA-mediated gene regulatory events in biological processes in humans. The proposed methodologies and workflow shall help in the analysis of multi-source data to identify molecular signatures of various human diseases.</p>","PeriodicalId":56122,"journal":{"name":"Journal of Gene Medicine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142089819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategic deactivation of mRNA COVID-19 vaccines: New applications for siRNA therapy and RIBOTACs","authors":"Nicolas Hulscher,&nbsp;Peter A. McCullough,&nbsp;Diane E. Marotta","doi":"10.1002/jgm.3733","DOIUrl":"10.1002/jgm.3733","url":null,"abstract":"<p>The rapid development and authorization of messenger ribonucleic acid (mRNA) vaccines by Pfizer-BioNTech (BNT162b2) and Moderna (mRNA-1273) in 2020 marked a significant milestone in human mRNA product application, overcoming previous obstacles such as mRNA instability and immunogenicity. This paper reviews the strategic modifications incorporated into these vaccines to enhance mRNA stability and translation efficiency, such as the inclusion of nucleoside modifications and optimized mRNA design elements including the 5′ cap and poly(A) tail. We highlight emerging concerns regarding the wide systemic biodistribution of these mRNA vaccines leading to prolonged inflammatory responses and other safety concerns. The regulatory framework guiding the biodistribution studies is pivotal in assessing the safety profiles of new mRNA formulations in use today. The stability of mRNA vaccines, their pervasive distribution, and the longevity of the encapsulated mRNA along with unlimited production of the damaging and potentially lethal spike (S) protein call for strategies to mitigate potential adverse effects. Here, we explore the potential of small interfering RNA (siRNA) and ribonuclease targeting chimeras (RIBOTACs) as promising solutions to target, inactivate, and degrade residual and persistent vaccine mRNA, thereby potentially preventing uncontrolled S protein production and reducing toxicity. The targeted nature of siRNA and RIBOTACs allows for precise intervention, offering a path to prevent and mitigate adverse events of mRNA-based therapies. This review calls for further research into siRNA and RIBOTAC applications as antidotes and detoxication products for mRNA vaccine technology.</p>","PeriodicalId":56122,"journal":{"name":"Journal of Gene Medicine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142057421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging SEER data through machine learning to predict distant lymph node metastasis and prognosticate outcomes in hepatocellular carcinoma patients","authors":"Jiaxuan Sun,&nbsp;Lei Huang,&nbsp;Yahui Liu","doi":"10.1002/jgm.3732","DOIUrl":"10.1002/jgm.3732","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>This study aims to develop and validate machine learning–based diagnostic and prognostic models to predict the risk of distant lymph node metastases (DLNM) in patients with hepatocellular carcinoma (HCC) and to evaluate the prognosis for this cohort.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Design</h3>\u0000 \u0000 <p>Utilizing a retrospective design, this investigation leverages data extracted from the Surveillance, Epidemiology, and End Results (SEER) database, specifically the January 2024 subset, to conduct the analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Participants</h3>\u0000 \u0000 <p>The study cohort consists of 15,775 patients diagnosed with HCC as identified within the SEER database, spanning 2016 to 2020.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Method</h3>\u0000 \u0000 <p>In the construction of the diagnostic model, recursive feature elimination (RFE) is employed for variable selection, incorporating five critical predictors: age, tumor size, radiation therapy, T-stage, and serum alpha-fetoprotein (AFP) levels. These variables are the foundation for a stacking ensemble model, which is further elucidated through Shapley Additive Explanations (SHAP). Conversely, the prognostic model is crafted utilizing stepwise backward regression to select pertinent variables, including chemotherapy, radiation therapy, tumor size, and age. This model culminates in the development of a prognostic nomogram, underpinned by the Cox proportional hazards model.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Main outcome measures</h3>\u0000 \u0000 <p>The outcome of the diagnostic model is the occurrence of DLNM in patients. The outcome of the prognosis model is determined by survival time and survival status.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The integrated model developed based on stacking demonstrates good predictive performance and high interpretative variability and differentiation. The area under the curve (AUC) in the training set is 0.767, while the AUC in the validation set is 0.768. The nomogram, constructed using the Cox model, also demonstrates consistent and strong predictive capabilities. At the same time, we recognized elements that have a substantial impact on DLNM and the prognosis and extensively discussed their significance in the model and clinical practice.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>Our study identified key predictive factors for DLNM and elucidated significant prognostic indicators for HCC patients with","PeriodicalId":56122,"journal":{"name":"Journal of Gene Medicine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142074612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"mRNA expression insights: Unraveling the relationship between COPD and lung cancer","authors":"Zhan Gu,&nbsp;Jijia Sun,&nbsp;Lixin Wang","doi":"10.1002/jgm.3728","DOIUrl":"10.1002/jgm.3728","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Lung cancer is a prevalent form of cancer worldwide. A possible link between lung cancer and chronic obstructive pulmonary disease (COPD) has been suggested by recent studies. The objective of our research was to analyze the mRNA expression patterns in both situations, with a specific emphasis on their biological functions and the pathways they are linked to.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Method</h3>\u0000 \u0000 <p>Data on COPD mRNA expression was collected from the NCBI-GEO database, while information regarding lung cancer mRNA was acquired from The Cancer Genome Atlas database. To examine the association of COPD-related scores in lung cancer patients, we utilized the ssGSEA algorithm for single sample gene set enrichment analysis. The possible routes were examined through the utilization of Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis. Risk models were developed using Cox and least absolute shrinkage and selection operator (LASSO) regression analyses. Moreover, a GSEA was performed to investigate significant pathways among various risk groups.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Result</h3>\u0000 \u0000 <p>After identifying 17 genes that were differentially expressed and linked to COPD, we found that they met the criteria of having a false discovery rate &lt; 0.05 and an absolute log₂ fold change &gt; 0.585. By utilizing the ssGSEA algorithm, it became possible to classify individuals with lung cancer into two distinct groups based on their COPD status. Consequently, a seven-gene risk model was developed specifically for these patients. The risk score was determined by applying the given formula: risk score = AC022784.1 × 0.0423737993775888 + CRISP3 × 0.0415322046890524 + MELTF × 0.0661848418476596 + MT2P1 × 0.111843227536117 + FAM83A-AS1 × 0.045295939710361 + ZNF506 × −0.309489953363417 + ITGA6 × 0.01813978449589. The risk model associated with COPD showed a notable connection with different immune cells found in the lung cancer sample, including macrophages of M0/M1/M2 types, hematopoietic stem cells, mast cells, NK T cells and regulatory T cells. Overexpression of crucial genes was seen to enhance cell proliferation and invasive potential in the lung cancer sample. In the lung cancer sample, it was observed that an increase in ZNF506 expression enhanced both cell proliferation and invasion.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>In conclusion, this study effectively examines the potential correlation between COPD and lung cancer. A prognostic model based on seven COPD-associated genes demonstrated robust predictive potential in the lung cancer sample. Our analysis","PeriodicalId":56122,"journal":{"name":"Journal of Gene Medicine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142057420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expression and prognostic value of cell-cycle-associated genes in lung squamous cell carcinoma","authors":"Xinnan Xu,&nbsp;Kaiqi Jin,&nbsp;Xiaoxiong Xu,&nbsp;Yang Yang,&nbsp;Bin Zhou","doi":"10.1002/jgm.3735","DOIUrl":"10.1002/jgm.3735","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Lung cancer continues to be a prevalent cause of cancer-related deaths worldwide, with lung squamous carcinoma (LUSC) being a significant subtype characterized by comparatively low survival rates. Extensive molecular studies on LUSC have been conducted; however, the clinical importance of cell-cycle-associated genes has rarely been examined. This study aimed to investigate the relationship between these genes and LUSC.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>The expression trends of genes related to the cell cycle in a group of patients with LUSC were analyzed. Clinical information and mRNA expression data were obtained from The Cancer Genome Atlas via cBioportal. Multiple analyses have been performed to investigate the association between these genes and LUSC.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Three clusters were identified based on the mRNA expression of 124 cell cycle-associated genes. Cluster 3 exhibited the worst prognosis. A comparative analysis showed that nine expressed genes differed distinctly among all the clusters. Among these nine genes, elevated expression of <i>CDK4</i> was strongly associated with positive prognosis. Furthermore, the expression of <i>ANAPC11</i>, <i>ANAPC5</i>, and <i>ORC4</i> correlated with the advancement of LUSC pathological stages.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Gene expression profiles associated with the cell cycle across various LUSC subtypes were identified, highlighting that specific genes are related to prognosis and disease stages. Based on these results, new prognostic strategies, patient stratification, and targeted therapy trials have been conducted for LUSC.</p>\u0000 </section>\u0000 </div>","PeriodicalId":56122,"journal":{"name":"Journal of Gene Medicine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142019709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stable transduction of the neonatal mouse liver using a hybrid rAAV/sleeping beauty transposon gene delivery system","authors":"Sharon C. Cunningham,&nbsp;Philip M. Zakas,&nbsp;Natsuki Sasaki,&nbsp;Eva B. van Dijk,&nbsp;Erhua Zhu,&nbsp;Yanfang Fu,&nbsp;William E. Salomon,&nbsp;Robert J. Citorik,&nbsp;Jacob R. Rubens,&nbsp;Cecilia Cotta-Ramusino,&nbsp;William Querbes,&nbsp;Ian E. Alexander","doi":"10.1002/jgm.3726","DOIUrl":"10.1002/jgm.3726","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Conventional adeno-associated viral (AAV) vectors, while highly effective in quiescent cells such as hepatocytes in the adult liver, confer less durable transgene expression in proliferating cells owing to episome loss. Sustained therapeutic success is therefore less likely in liver disorders requiring early intervention. We have previously developed a hybrid, dual virion approach, recombinant AAV (rAAV)/<i>piggyBac</i> transposon system capable of achieving stable gene transfer in proliferating hepatocytes at levels many fold above conventional AAV vectors. An alternative transposon system, <i>Sleeping Beauty</i>, has been widely used for <i>ex vivo</i> gene delivery; however liver-targeted delivery using a hybrid rAAV/<i>Sleeping Beauty</i> approach remains relatively unexplored.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We investigated the capacity of a <i>Sleeping Beauty</i> (SB)-based dual rAAV virion approach to achieve stable and efficient gene transfer to the newborn murine liver using transposable therapeutic cassettes encoding coagulation factor IX or ornithine transcarbamylase (OTC).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>At equivalent doses, rAAV/SB100X transduced hepatocytes with high efficiency, achieving stable expression into adulthood. Compared with conventional AAV, the proportion of hepatocytes transduced, and factor IX and OTC activity levels, were both markedly increased. The proportion of hepatocytes stably transduced increased 4- to 8-fold from &lt;5%, and activity levels increased correspondingly, with markedly increased survival and stable urinary orotate levels in the OTC-deficient <i>Spf</i>^<i>ash</i> mouse following elimination of residual endogenous murine OTC.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The present study demonstrates the first <i>in vivo</i> utility of a hybrid rAAV/SB100X transposon system to achieve stable long-term therapeutic gene expression following delivery to the highly proliferative newborn mouse liver. These results have relevance to the treatment of genetic metabolic liver diseases with neonatal onset.</p>\u0000 </section>\u0000 </div>","PeriodicalId":56122,"journal":{"name":"Journal of Gene Medicine","volume":null,"pages":null},"PeriodicalIF":3.2,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}